Optimal Allocation of Photovoltaic Systems and Energy Storage Systems based on Vulnerability Analysis
AbstractThere 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. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Konishi, R.; Takahashi, M. Optimal Allocation of Photovoltaic Systems and Energy Storage Systems based on Vulnerability Analysis. Energies 2017, 10, 1477.
Konishi R, Takahashi M. Optimal Allocation of Photovoltaic Systems and Energy Storage Systems based on Vulnerability Analysis. Energies. 2017; 10(10):1477.Chicago/Turabian Style
Konishi, Ryusuke; Takahashi, Masaki. 2017. "Optimal Allocation of Photovoltaic Systems and Energy Storage Systems based on Vulnerability Analysis." Energies 10, no. 10: 1477.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.