TY - GEN
T1 - Optimal allocation of photovoltaic systems and energy storages in power systems considering power shortage and surplus
AU - Konishi, Ryusuke
AU - Takahashi, Masaki
PY - 2014/1/1
Y1 - 2014/1/1
N2 - There is a growing need to connect a large amount of renewable energy (RE), such as photovoltaic (PV) systems, to the power grid for solving the environmental problem. However, an electricity grid with RE occurs problems of power shortage and surplus due to uncertainty in generation RE output. In addition, grid failures may increase the impact of power shortage and surplus so it is necessary to build a fault tolerant renewable energy system. Energy storage systems (ESSs) can be used to solve supply reliability problems, but the amount of installed ESSs should be minimized considering its high cost. This paper demonstrates that the optimal allocation of PV and ESSs can be achieved to minimize the amount of the ESSs whilst satisfying the PV installation target and the constraints of the supply reliability indices for power shortage and power surplus in the event of a grid failure. By simulating optimal power flow in the IEEE reliability test system, the optimization problem for allocating PV and ESSs is solved by genetic algorithm in this paper. The result shows that PV and ESSs are allocated in each bus satisfying the PV installation target and the constraints of the supply reliability and achieving.
AB - There is a growing need to connect a large amount of renewable energy (RE), such as photovoltaic (PV) systems, to the power grid for solving the environmental problem. However, an electricity grid with RE occurs problems of power shortage and surplus due to uncertainty in generation RE output. In addition, grid failures may increase the impact of power shortage and surplus so it is necessary to build a fault tolerant renewable energy system. Energy storage systems (ESSs) can be used to solve supply reliability problems, but the amount of installed ESSs should be minimized considering its high cost. This paper demonstrates that the optimal allocation of PV and ESSs can be achieved to minimize the amount of the ESSs whilst satisfying the PV installation target and the constraints of the supply reliability indices for power shortage and power surplus in the event of a grid failure. By simulating optimal power flow in the IEEE reliability test system, the optimization problem for allocating PV and ESSs is solved by genetic algorithm in this paper. The result shows that PV and ESSs are allocated in each bus satisfying the PV installation target and the constraints of the supply reliability and achieving.
KW - Photovoltaic system
KW - energy storage system
KW - energy surplus
KW - power supply reliability
KW - transmission-system planning
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U2 - 10.1109/PQ.2014.6866796
DO - 10.1109/PQ.2014.6866796
M3 - Conference contribution
AN - SCOPUS:84907315219
SN - 9781479950201
T3 - 9th International: 2014 Electric Power Quality and Supply Reliability Conference, PQ 2014 - Proceedings
SP - 127
EP - 132
BT - 9th International
PB - IEEE Computer Society
T2 - 9th International Conference on Electric Power Quality and Supply Reliability, PQ 2014
Y2 - 11 June 2014 through 13 June 2014
ER -
