LANG Yitao, HUANG Meilong, WU Yilin, et al. Research on Multi-Scenario Optimal Scheduling Strategy of Photovoltaic Distribution and Storage System[J]. 2025, 45(2): 30-35.
LANG Yitao, HUANG Meilong, WU Yilin, et al. Research on Multi-Scenario Optimal Scheduling Strategy of Photovoltaic Distribution and Storage System[J]. 2025, 45(2): 30-35. DOI: 10.3969/j.issn.1008-0198.2025.02.004.
In order to solve the coupling problem of PV distribution and storage system in multi-scenario scheduling in power market
a multi-scenario optimal scheduling strategy is proposed. Firstly
based on the uncertainty analysis of photovoltaic output
a model of energy storage to stabilize photovoltaic fluctuations is constructed. Secondly
combined with the uncertainty of electricity price
the scheduling strategy of energy storage system to participate in the power market is proposed. Finally
through the optimal scheduling framework of multiple time scales
the charging and discharging plan of the energy storage system is optimized by comprehensively considering the goals of stabilizing photovoltaic fluctuations
electric energy market income and frequency modulation market income. The simulation results show that the proposed strategy can effectively stabilize the fluctuation of PV and maximize the economic benefits in the electric energy and frequency modulation markets. Specifically
the energy storage system not only stabilizes the fluctuation of photovoltaic
but also makes a profit in the electric energy market through the strategy of low storage and high generation
and provides flexible auxiliary services in the frequency modulation market
which significantly improves the economy and stability of the system.
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