Study on Battery Capacity for Grid-connection Power Planning with by bradbutler

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									Extended Summary                                                                                                                         pp.696–704



    Study on Battery Capacity for Grid-connection Power Planning with
               Forecasts in Clustered Photovoltaic Systems
                  Takae Shimada Member (Hitachi, Ltd., takae.shimada.sv@hitachi.com)
                  Norihiro Kawasaki Student Member (Tokyo University of Agriculture and Technology)
                  Yuzuru Ueda Member (Tokyo Institute of Technology)
                  Hiroyuki Sugihara Member (Kandenko Co., Ltd.)
                  Kosuke Kurokawa Member (Tokyo University of Agriculture and Technology)

     Keywords: clustered photovoltaic system, autonomy-enhanced PV cluster, simulation, insolation forecasting, battery

   Most of the PV (photovoltaic) systems for residences spreading                 of planning error ratio RGC−err and PV output limiting loss ratio
rapidly are grid-connected type. Usually, since this system has no                RPV−loss . The results also show that existing technologies of fore-
electricity storages, demand/supply power gap is processed by the                 casting reduce required battery capacity to 49%, and increase the
utility grid. However, PV supply power depends on the weather,                    allowable installing PV amount to 210%.
current PV systems strongly depend on the utility grid. In the future
so that the PV systems may spread further, it is necessary to re-
alize the AE-PVC (Autonomy-Enhanced PV Cluster) concept with
electricity storage devices in the residential area with densely grid-
connected PV systems.
   This paper aims to clarify the battery capacity required to real-
ize the AE-PVC shown in Fig. 1. This paper proposes a planning
method of tomorrow’s grid-connection power from/to the external
electric power system by using demand power forecasting and in-
solation forecasting for PV power predictions, and defines a oper-
ation method of the electricity storage device to control the grid-
connection power as planned. A residential area consisting of 389
houses consuming 2390 MWh/year of electricity with 2390 kW PV
systems is simulated based on measured data and actual forecasts.
The simulation results show that 8.3 MWh of battery capacity is
required in the conditions of half-hour planning and 1% or less




                                                                                        Fig. 3. Time-series simulation result on Oct. 5, 2007




                  Fig. 1. AE-PVC configuration




            Fig. 2. Configuration of AC storage device                                   Fig. 4. Simlation results of required battery capacity



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