AUTHOR=Li Bin , Li Mingzhe , Yan Shiye , Zhang Yifan , Shi Bowen , Ye Jilei 

TITLE=An optimal energy storage system sizing determination for improving the utilization and forecasting accuracy of photovoltaic (PV) power stations

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 10 - 2022

YEAR=2023

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.1074916

DOI=10.3389/fenrg.2022.1074916

ISSN=2296-598X

ABSTRACT=As a new type of flexible regulation resource, energy storage system not only smooths out the fluctuation of new energy generation, but also tracks the generation scheduling with combining new energy power to enhance the reliability of new energy system operation. In recent years, installing energy storage for new on-grid energy power stations has become a basic requirement in China, but there is still lack of relevant assessment strategies and techno-economic evaluation about the size determination of energy storage system from the perspective of new energy power station. Therefore, this paper starts from summarizing the role and configuration method of energy storage in new energy power station, and then proposes multi-dimensional evaluation indicators including the solar curtailment rate, forecasting accuracy and economics, which are taken as the optimization targets for configuring energy storage system in PV power station. Lastly, taking the operational data of a 4000MW PV plant in Belgium for example, we develop six scenarios with different ratios of energy storage capacity, and further explore the impact of energy storage size on the solar curtailment rate, PV curtailment power and economics. The method proposed in this paper is effective for the performance evaluation of large PV power station with annual operating data, realizes the automatic analysis on the optimal size determination of energy storage system for PV power station, and verifies the rationality of the principle for configuring energy storage for PV power stations in some regions of China.