Optimal Allocation of Photovoltaic Systems and Energy Storage Systems based on Vulnerability Analysis

Ryusuke Konishi and Masaki Takahashi
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Ryusuke Konishi: Graduate School of Science and Technology, Keio University, Yokohama 223-0061, Japan
Masaki Takahashi: Faculty of Science and Technology, Keio University, Yokohama 223-0061, Japan

Energies, 2017, vol. 10, issue 10, 1-20

Abstract: There is a growing need to connect renewable energy systems (REs), such as photovoltaic systems (PVs), to the power grid for solving environmental problems such as global warming. However, an electricity grid with RE is vulnerable to problems of power shortage and surplus owing to the uncertainty of RE outputs and grid failures. Energy storage systems (ESSs) can be used to solve supply reliability problems, but their installation should be minimized considering their high costs. This study proposes a method to optimize the allocations of PVs and ESSs based on vulnerability analysis, and utilizes our proposed concept of “slow” and “fast” ESSs, which can reflect the influences of both uncertainties: PV outputs and grid failures. Accordingly, this paper demonstrates an optimal allocation of PVs and ESSs that minimizes the amount of ESSs while satisfying the PV installation target and the constraints on supply reliability indices for power shortage and power surplus in the event of a grid failure.

Keywords: power system planning; photovoltaic system; energy storage system; grid failure; uncertainty; vulnerability analysis; optimization problem (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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