PHCN - National Load Demand Study - PowerPoint by h1w8D5

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									            Load Forecast For Nigeria
            10 Year into the future




                                        Identifiant
26-Feb-12             1
High lights of Presentation
 - Introduction
 - Brief description of problems in Nigeria Power Supply System
 - Review of National Load Demand Forecast
        >   Methodology
        >   National Load Forecast
        >   Regional Load Forecast
        >   City Load Forecast
        >   National Load Forecast comparison and conclusions
 - Issues arising from the results of the National Load Demand Forecast
        > Estimation of suppressed load in the system
        > Data Requirements
        > Approach and Methodology
 - Revised Load Forecast (National and Regional)
 - Generation Plans




                                                                          Identifiant
 - Transmission Plans
26-Feb-12                                    2
      Introduction

   The term load forecast refers to a systematic procedure for determining the
   future load requirements in quantitative details to permit important system
   expansion decision to be made.


    The accuracy of forecast is crucial to electric utility since it dictates the
   planning of generation and transmission and distribution facilities.


   If the forecast is under stated it can result in shortage in generating capacity
   and inadequacy of transmission and distribution facilities causing a set back
   in economic growth.
   If the forecast is over-stated, it may result in excessive investments in
   facilities in advance of actual need and thereby blocking the scarce capital,




                                                                                       Identifiant
   which could have been otherwise utilized in a more profitable way.

26-Feb-12       National load demand study   3
       Introduction cont’

   The most recent Load demand forecast for Nigeria was carried out in 2008 under
   World Bank assisted National Energy Development Project (NEDP)- Termed “National
   Electric Load Forecast 2007-2032”
   It produced Yearly estimate of National Energy Demand for each consumer class in
   each of the Business Unit (over 110 nos. across the 11 distribution companies in
   Nigeria) and for entire Country, starting from 2007 to 2032 i.e for 25 years.


   National Load Forecast has been performed at three geographic levels and with
   different methods:
        National Level : global and semi global approaches
        Regional level (DBU) : analytical approach
        City level (Abuja, Lagos, Kano) : Land use approach

   Each method is based on different data, different hypotheses, different calculation
   models




                                                                                           Identifiant
   Each method gives independent results that are compared to each other in this report.


26-Feb-12        National load demand study   4
   
Issues prevailing in Nigeria power supply system
                                                                     PEAK LOAD 1973 - 2009
            > Massive load shedding and power cuts           4000

                                                             3500

                                                             3000
            > Low voltage at consumer ends of the line
                                                             2500

                                                             2000
            > Overloaded lines & transformers                1500

                                                             1000

                                                              500
            > Poor quality of supply ( low frequency
                                                                0
            > or flicker in the supply)




                                                                    1973
                                                                    1975
                                                                    1977
                                                                    1979
                                                                    1981
                                                                    1983
                                                                    1985
                                                                    1987
                                                                    1989
                                                                    1991
                                                                    1993
                                                                    1995
                                                                    1997
                                                                    1999
                                                                    2001
                                                                    2003
                                                                    2005
                                                                    2007
                                                                    2009
            > Poor reliability of supply (frequent tripping of lines etc)

            > Insufficient generation.




                                                                                             Identifiant
            > Over loaded transmitting substation/lines

26-Feb-12                                           5
Choice of load forecast model for Nigeria special
conditions


• There is no provision in standard load forecasting models for dealing
  with extraneous factors such as load shedding, power cuts, low
  voltage and low frequency issues in a normal system where there is
  adequate generating and transmission facilities to meet demand
  requirements. Forecasting model to be adopted for the Nigeria
  system must therefore consider these issues.




                                                                          Identifiant
26-Feb-12                         6
    Methodology


    • Actual load is considered as being the load connected to the power
                                               Commercial area while not being cut off
     system and supplied.                      (for instance 19 hours per day)


    • Suppressed load is composed of two components:
T
O    - Shed Load considered as the load connected to the power system network
D      but not supplied for part of the time. Commercial area while being cut off
A                                              (for instance 5 hours per day)
Y    - Disconnected load is the load that could normally be connected and supplied
       by the system but where the customer has instead decided to use its own
       separate generation.                   Large Manufacturer plant not connected to
F                                              the system and using self generation.
O
R
E   • Potential load is the load that does not exist presently or that is
C                                              Rural area not yet connected or electric




                                                                                               Identifiant
A
S
     located in a non-electrified area         devices for a connected client not yet bought
T
National Load Forecast
Methods Comparison

• Global:
 - Indicators :
     > Historic trend of Energy and Peak Load
     > Macro economic indicators (GDP)
     > Estimation of historic unsuppressed demand
 - Unsuppressed Peak Load Estimation : 5100MW in 2007.
 - Method :
     > Catching up period of suppressed load
     > Correlation study between GDP and historic unsuppressed load
     > Forecast on basis of scenario of GDP, LF, losses, elasticity


• Semi – Global:     No pertinent results due to lack of statistic records




                                                                             Identifiant
                     and impact of suppressed load -
National Load Forecast                                                                                     Both methods give
                                                                                                           practically the same
Methods Comparison                                                                                                results

                           Nigeria - National Energy generated growth (%) - Comparison of Forecast Methods
    Years     Global - Sc. Low Analyt. - Sc. Low       Global - Sc. Medium Analyt. - Sc. Medium Global - Sc. High   Analyt. - Sc. High
    2008           5.3%               5.8%                5.3%                    6.2%               5.3%                 6.2%
    2009           9.6%               9.0%                12.3%                  11.3%               15.8%               15.0%
    2010           8.7%               8.6%                11.0%                  12.2%               13.7%               13.1%
    2011           8.0%               8.6%                9.9%                   10.8%               11.7%               13.4%
    2012           7.4%               8.0%                9.0%                   10.4%               11.7%               12.2%
    2013           6.9%               9.0%                9.0%                   10.3%               11.7%               12.1%
    2014           6.6%               8.7%                9.0%                    9.7%               11.7%               11.5%
    2015           6.6%               8.1%                9.0%                    8.4%               11.7%               11.7%
  2016-2020        6.6%               6.0%                9.0%                    7.9%               11.6%               11.9%
  2021-2025        6.6%               5.6%                8.9%                    8.0%               11.3%               10.8%
  2026-2030        6.6%               5.8%                8.6%                    7.7%               10.9%                9.9%
  2031-2033        6.6%               5.8%                8.6%                    7.5%               10.8%                9.4%
  Average          7.1%               6.8%                9.3%                    8.8%               11.8%               11.5%




              2012 – 2020 Analytical                                          2020-2033 Analytical
               method forecasts a                                           method forecasts a lower




                                                                                                                                         Identifiant
              higher rate of growth                                              rate of growth
National Load Forecast
Results

• National Load Demand Forecast of Nigeria
 - Energy Generated and Energy Demand
 - System Peak Load and Demand Peak Load
                                           Energy Generated                             System Peak Load
 - Three scenarios:                     Sc. Low    Sc. Medium    Sc. High     Sc. Low      Sc. Medium    Sc. High
                                        Energy      Energy        Energy     Peak Load     Peak Load    Peak Load
    > Low: 6.8%                        Generated   Generated     Generated   Generated     Generated    Generated
                               Years    (GWh)       (GWh)         (GWh)        (MW)          (MW)         (MW)
    > Medium: 8.9%             2007     22 660      22 660        22 660       3 598         3 598        3 598
                               2010     28 366      30 065        31 309       4 559         4 825        5 023
    > High: 11.6%              2020     56 796       70 480       97 886       9 220         11 433       16 088
                               2033     116 892     186 230       343 357     18 676         30 026       56 429

                                             Energy Demand                             Peak Load Demand
                                        Sc. Low     Sc. Medium   Sc. High     Sc. Low     Sc. Medium    Sc. High
                                        National     National    National     National      National    National
                                        Demand       Demand      Demand       Demand        Demand      Demand
                               Years    (GWh)         (GWh)       (GWh)        (MW)          (MW)        (MW)
                               2007     17 675        17 675      17 675       2 966         2 966       2 966
                               2010     22 741        24 191      25 234       3 817         4 043       4 209




                                                                                                                    Identifiant
                               2020     49 733       61 719       85 457       8 358         10 369       14 587
                               2033     103 913     165 325       303 477     17 140         27 548       51 726
Regional Load Forecast – Analytical Approach


• National Load Forecast – Analytical (Regional) Method – Results

• Scenarios have an average rate of growth of Peak Load of:
 - Low: 6.8%                               Energy Generated
                                        Sc. Low    Sc. Medium    Sc. High     Sc. Low
                                                                                        System Peak Load
                                                                                           Sc. Medium    Sc. High
                                        Energy      Energy        Energy     Peak Load     Peak Load    Peak Load
 - Medium: 8.9%                        Generated   Generated     Generated   Generated     Generated    Generated
                               Years    (GWh)       (GWh)         (GWh)        (MW)          (MW)         (MW)
                               2007     22 660      22 660        22 660       3 598         3 598        3 598
 - High: 11.6%                 2010     28 366      30 065        31 309       4 559         4 825        5 023
                               2020     56 796       70 480       97 886       9 220         11 433       16 088
                               2033     116 892     186 230       343 357     18 676         30 026       56 429

                                             Energy Demand                             Peak Load Demand
                                        Sc. Low     Sc. Medium   Sc. High     Sc. Low     Sc. Medium    Sc. High
                                        National     National    National     National      National    National
                                        Demand       Demand      Demand       Demand        Demand      Demand
                               Years    (GWh)         (GWh)       (GWh)        (MW)          (MW)        (MW)
                               2007     17 675        17 675      17 675       2 966         2 966       2 966
                               2010     22 741        24 191      25 234       3 817         4 043       4 209




                                                                                                                    Identifiant
                               2020     49 733       61 719       85 457       8 358         10 369       14 587
                               2033     103 913     165 325       303 477     17 140         27 548       51 726
National Load Forecast
Conclusions


• Both methods give practically the same results

• Similar values considered for the unsuppressed load in 2007
  - Global analysis : 5100 MW peak load
  - Regional analysis : 5450 MW peak

• After catching up period, growth rates depending mainly on
  - Global analysis : GDP forecast
  - Regional analysis : electrification objectives (high scenario = vision 2020)

• Load Forecast will depend on the investment rate in power system.
 Master Plan




                                                                                   Identifiant
 Issues on the result of the National Load Forecast
• The results, in particular the 5100MW unsuppressed system peak
 load of 2007 was contested by various stake holders (especially the
 distribution companies); who argued that the estimate was low
 considering the inadequacies in generation, transmission and
 distribution infrastructures. The author of this presentation also
 agree with the stake holders that the unsuppressed system peak
 estimate of 5100MW for year 2007 is not a true reflection of the
 unsuppressed demand for Nigeria as at that time.




                                                                       Identifiant
 26-Feb-12    National load demand study   13
   Estimation of Suppressed Load in
   the System




                                              Identifiant
26-Feb-12   National load demand study   14
                         Data Requirements

• For estimation of suppressed loads in the system the following data
 must be available
 - Data
     > Non simultaneous injection transformer peak load

     > Non simultaneous distribution transformer peak load

     > Records of over loaded distribution transformers

     > Unavailability of supply on all 11kV feeders

     > Customer self generation




                                                                        Identifiant
     > Manufacturer self generation
Approach and Methodology
The entire Nigeria distribution networks can be divided into multiples of clusters,
grouped under the 11 distribution companies to determine suppressed load in
the system. A cluster is may be defined as a demarcated area serviced by an
injection substation having 4-6 11kV feeders.
- Cluster condition
    > Low voltage at customer ends of the line

    > Overloaded lines & distribution transformers

    > Poor quality of supply (low frequency or flicker)

    > Poor reliability of supply (frequent tripping of lines, fuse cuts etc) etc

    > Load potential of the area (high, medium, low or saturation)




                                                                                      Identifiant
Disaggregated or Analytical Models




                                     Identifiant
Disaggregated or Analytical models

 • This approach best suitable for forecasting electricity demand for Distribution
  Companies in Nigeria is the disaggregated “bottom up” methods and surveys.
   - National Level : global and semi global approaches
   - Regional level (DBU) : analytical approach
   - City level (Abuja, Lagos, Kano) : Land use approach


 • Each method is based on different data, different hypotheses, different calculation
  models


 • Each method gives independent results that are compared to each other in this report.




                                                                                           Identifiant
                 Survey
• The main purpose of the survey (Residential, Industrial- Large, medium and small,
 and Commercial ) is to gather data related to
      > End-use of electricity-

      > Un-serviced and suppressed demand

      > Potential for demand growth

      > Installed captive power

      > Customer satisfaction levels

      > Customer Willingness to pay extra for better service




                                                                                      Identifiant
Data Requirements -
• Historical Operational Data: This is usually used in matured load forecasting
 model.
 - Customer classes and number, connected load, annual energy sales, annual
   revenue, annual import & export, annual peak demand, Tariff structure, customers by
   tariff, annual system losses, outstanding connections, new connection rate, power
   allocations, voltage profile , power cuts, peak demand, hourly system load for past 5
   years, hourly import and export of power for past 5 years, monthly energy
   consumption and peak loads etc.


• Demographic / Econometric data:
 - Population and its breakdown: district wise/area wise, Birth Rate, Mortality Rate, Life
   Expectancy, Annual GDP, Employment Rate, Housing, Number of People /
   household, Per Capita Income etc


• Weather data: Daily / Seasonal /Annual average temp, rain fall and humidity




                                                                                             Identifiant
   Revised Load Forecast 5-20 Years
   National and Regional




                                              Identifiant
26-Feb-12   National load demand study   21
 Revised Load Forecast 5-20 years into the Future for
 Nigeria – National and Regional
YEAR               2008 2010          2011        2012       2015       2020    Average
                                                                                growth
LAGOS              2,475    3,049       3,385 3,757          5,138      8,659   11%
NORTH CENTRAL (NC) 1,630    2,008       2,229 2,474          3,384      5,702   11%

NORTH EAST (NE)    480       646            749    869       1,357      2,849   11%

NORTH WEST (NW)    1,090    1,343       1,491 1,655          2,263      3,813   16%

SOUTH EAST (SE)    860      1,079       1,208 1,353          1,901      3,321   11%

SOUTH SOUTH (SS)   1,170    1,468       1,644 1,841          2,586      4,558   12%




                                                                                          Identifiant
SOUTH WEST (SW)    795       980        1,087 1,207          1,651      2,781   12%
TOTAL               8,500    10,573     11,793      13,157     18,280     31,684 11%
 26-Feb-12                             22
                           Generation Plans




                                              Identifiant
26-Feb-12   National load demand study   23
  Generation Plans - Lagos
STATION          TYPE   OWNER   YEAR 2012           YEAR 2015           YEAR 2020
                                Cap.    Gen.   Cap.     Gen.          Cap.       Gen.
AES              GT     PHCN    270     270    270      270           270        270
Chevron Texaco   GT     OM      500     500    750      750           750        750
Egbin            GT     PHCN    1,320   695    1,320    948           1,320      948
Farm Electric    GT     IPP      0      0       0       0              0         0
I3M              GT     IPP      0       0      500      250           0          0
Papalanto FGN1 GT       FGN     335     335    335      335           335        335
Papalanto FGN2 GT       FGN     252     252    252      252           252        252
Papalanto FGN3 ST       FGN     750     500    750      750           750        750
WESCOM           GT     IPP     0       0      1,000    1,000         1,000      1,000




                                                                                          Identifiant
Others          GT      IPP     0       0      0        0              2,500      2,500
Lagos Sub-Total                 3,427   2552   5177           4,555         7,177 6,805
   26-Feb-12
   Generation Plans – North Central (N.C)
STATION        TYPE   OWNER   YEAR 2012            YEAR 2015           YEAR 2020
                              Cap.    Gen.    Cap.     Gen.          Cap.       Gen.
Dangote        GT     IPP     200     200     200      270           200        200
Geregu FGN1    GT     FGN     414     414     414      750           414        414
Geregu FGN2    GT     FGN     435     290     435      948           435        290
Gwagwalada     GT     IPP      0      0        0       0              1,000     1,000
Jebba          HYD    PHCN     590     295     590      250           590        295
Kainji         HYD    PHCN    760     570     760      335           760        570
Shiroro        HYD    PHCN    600     450     600      252           600        450
STS Ajaokuta   ST     PHCN    110     110     110      750           110        110




                                                                                         Identifiant
N.C-Total                     3,109   2,329   3,109          2,329         4,109 3,329
Generation Plans – North East (N.E), North West (N.W) and South East
(S.E)

STATION          TYPE   AREA   OWNER YEAR 2012             YEAR 2015     YEAR 2020
                                      Cap.    Gen.    Cap.     Gen.    Cap.    Gen.
Dadin Kowa       HYD    N.E    IPP    0       0       39       30      39      30
Mambila          HYD    N.E    IPP    0       0       0        0       2,600   2,000
Total N.E                             0       0       39       30      2639    2030
Gurara           HYD    N.W    FGN    60      30      60       30      60      30
Kaduna IPP       GT     N.W    IPP    0       0       0        0       1,000   800
Total N.W                             60      30      60       30      1060    830
Egbema 1         GT     S.E    NIPP   339     300     339      300     339     300
Egbema 2         GT     S.E    NIPP   226     200     226      226     226     226
Total Fina Elf   GT     S.E    OM     500     400     500      400     500     400
AGIP (Okpai 1) GT       S.E    IPP    450     400     450      400     450     400




                                                                                       Identifiant
AGIP (Okpai 2) GT       S.E    IPP    450     400     450      400     450     400
Total S.E                             1,965   1,700   1,965    1,726   1,965   1,726
Generation Plans – South South (S.S )
STATION          TYPE   OWNER YEAR 2012            YEAR 2015       YEAR 2020
                               Cap.    Gen.    Cap.    Gen.    Cap.    Gen.
AFAM I-III       GT     PHCN   0       0       0       0       0       0
AFAM IV          GT     PHCN   405     0       405     405     405     405
AFAM V           GT     PHCN   276     276     276     276     276     276
AFAM VI          GT     OM     750     750     750     750     750     750
Alaoji FGN 1     GT     FGN    378     378     378     378     378     378
Bonny            GT     OM     390     390     390     390     390     390
Calabar          GT     NIPP   565     339     565     339     565     339
Delta II         GT     PHCN   150     0       150     150     150     150
Delta III        GT     PHCN   150     150     150     150     150     150




                                                                               Identifiant
S.S-SubTotal 1                 2,688   2,283   3,064   2,838   3,064   2,838
Generation Plans – South South (S.S ) – Cont’
STATION            TYPE OWNER YEAR 2012           YEAR 2015      YEAR 2020
                               Cap.    Gen.    Cap.    Gen.    Cap.    Gen.
Delta IV           GT   PHCN   600     600     600     600     600     600
Eyaen (Ihovbar)    GT   NIPP   452     339     452     339     452     339
Gbaran / Ubie      GT   NIPP   226     0       226     0       226     0
Gbaren / Ubie 2    GT   NIPP   452     452     452     452     452     452
ICS                GT   IPP    0       0       500     0       500     0
Ikot Abasi         GT   NIPP   339     339     339     339     339     339
Omoku 1            GT   NIPP   226     226     226     226     226     226
Omoku 2            GT   NIPP   226     0       226     0       226     0
Rivers IPP         GT   IPP    100     100     100     100     100     100




                                                                               Identifiant
S.S- Sub Total-2               2,621   2,056   3,121   2,056   2,669   2,056
Generation Plans – South South (S.S ) – Cont’
STATION            TYPE   OWNER YEAR 2012            YEAR 2015       YEAR 2020
                                 Cap.    Gen.    Cap.    Gen.    Cap.    Gen.
Sapele             GT     NIPP   452     0       452     339     452     339
Sapele GT          GT     PHCN   0       0       0       0       0       0
Sapele GT ROT GT          PHCN   600     450     600     600     600     600
SUPERTEK           GT     IPP    0       0       1,000   750     1,000   750
Alaoji – FGN2      ST     FGN    570     570     570     570     570     570
Sapele ST          ST     NIPP   660     660     660     660     660     660
Ibom I             GT     NIPP   156     156     156     156     156     156
Ibom II            GT     NIPP   552     138     552     138     552     138




                                                                                 Identifiant
S.S- Sub Total-2                 2,990   1,974   3,990   3,063   3,990   3,063
Generation Plans – South West (S.W )
STATION          TYPE OWNER YEAR 2012         YEAR 2015           YEAR 2020
                            Cap.    Gen.   Cap.    Gen.         Cap.    Gen.
Omotosho FGN 1 GT    FGN    335     335    335     335          335     335
Omotosho FGN 2 GT    FGN    252     126    252     126          252     126
Omotosho FGN 3 GT    FGN    500     500    500     500          500     500




                                                                               Identifiant
S.W- Sub Total              1,087   961    1,087          961      1,087 961
SUMMARY OF GENERATION PLANS BY REGION
REGION            YEAR 2012           YEAR 2015     YEAR 2020
                  Cap.    Gen.   Cap.     Gen.    Cap.    Gen.
LAGOS             3,427   2,552 5,177     4,555   7,177   6,805
NORTH CENTRAL 3,109       2,329 3,109     2,329   4,109   3,329
NORTH EAST        0       0      39       30      2,639   2,030
NORTH WEST        60      30     60       30      1,060   830
SOUTH EAST        1,965   1,700 1,965     1,726   1,965   1,726
SOUTH SOUTH       8,299   6,313 10,175 7,957      9,763   7,957
SOUTH WEST        1,087   961    1,087    961     1,087   961
TOTAL




                                                                  Identifiant
NATIONAL - TOTAL 17,947 13,885 21,612      17,588 27,800 23,638
            Transmission Master Plan




                                       Identifiant
26-Feb-12             32
Formulation of Power System Development Plans


• Methodology: Based on the revised load demand forecast and
 generation plans by regions discussed previously network structures
 are designed based on a set of planning criteria and standards.

• Load flow calculations are carried out at peak load and the system‘s
 structure is deemed acceptable when the following criteria are
 verified:




                                                                         Identifiant
 Methodology - Target network structure
• Target structure analysis
 - Existing→10,000→11,793→13,157 →18,280→ 31,684MW 700, 330 and 132 kV
 - Tool : NEPLAN (Dynamic analysis and flow including contingency analysis)

• Goal
 - Find structure to satisfy N-1 criterion
 - Simplify to satisfy the N criterion




                                                                              Identifiant
                                             34
Supply and Demand Balance By Region – 2015
              Super-Grid Route – 700kV

             North West
             G=30MW                                         North East
             L = 3,813MW                                    G=500MW
                                                            L = 2,849MW



             L
                                   North Central            L
                                   G=2,329MW
                                   L = 5,702MW


                                                                 South East
                 South West                                      G=1,965MW
                                   L
                 G=961MW                                         L = 3,321MW
                 L = 2,781MW


                                                                 L
                 L
                                                   South South
                     Lagos                         G=8,107MW
                     G=4,689MW                     L = 4,558MW




                                                                               Identifiant
                     L = 8,659MW



                                                   L
 26-Feb-12           L                     35
Birnin Kebbi




                    North Western




                                    Identifiant
               36
Kano




       North Central




                       Identifiant
37
        Jos, Gombe & Yola




     North Eastern Region




                            Identifiant
38
Kaduna, Shiroro




                  North Central




                                  Identifiant
     39
Kainji, Jebba, Oshogbo, Aiyede




                            South Western
                            (except Lagos)




                                             Identifiant
                    40
Benin
Delta
Ajaokuta
Sapele




           Southern South




                            Identifiant
 41
                  Calabar
                  Afam
                  Onitsha
                  Alaoji
                  Enugu




     South East




                            Identifiant
42
                    Ikeja West
                    Akangba
                    Aja
                    Egbin



     Lagos Region




                                 Identifiant
43
44




     Identifiant
Supply and Demand Balance By Region – 2015
              Proposed Super-Grid Route

             North West
             G=30MW                                         North East
             L = 3,813MW                                    G=500MW
                                                            L = 2,849MW



             L
                                   North Central            L
                                   G=2,329MW
                                   L = 5,702MW


                                                                 South East
                 South West                                      G=1,965MW
                                   L
                 G=961MW                                         L = 3,321MW
                 L = 2,781MW


                                                                 L
                 L
                                                   South South
                     Lagos                         G=8,107MW
                     G=4,689MW                     L = 4,558MW




                                                                               Identifiant
                     L = 8,659MW



                                                   L
 26-Feb-12           L                     45
RECAP

 - Brief description of problems in Nigeria Power Supply System
 - Review of National Load Demand Forecast
        >   Methodology
        >   National Load Forecast
        >   Regional Load Forecast
        >   City Load Forecast
        >   National Load Forecast comparison and conclusions
 - Issues arising from the results of the National Load Demand Forecast
        > Estimation of suppressed load in the system
        > Data Requirements
        > Approach and Methodology
 - Revised Load Forecast (National and Regional)
 - Generation Plans




                                                                          Identifiant
 - Transmission Plans
26-Feb-12                                   46
            END




                  Identifiant
26-Feb-12    47

								
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