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Optimal Power Flow Method with Consideration of Uncertainty Sources of Renewable Energy and Demand Response

Wenjia Zhang,Zhuyi Peng,Quanquan Wang, Wanchun Qi,Yi Ge

Frontiers in Energy Research(2024)

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摘要
Optimal power flow (OPF) calculation methods are important for the power system operation and mainly focus on the deterministic power flow calculation, neglecting the impact of demand response on online security calculation of power systems with renewable energy sources. Therefore, this paper proposes an OPF calculation method that considers the uncertainties of wind power, photovoltaic (PV) power generation and demand-side response. Firstly, the research focuses on the renewable energy grid, considering the uncertainties of wind power and PV power generation, and establishes uncertainty models for wind power and PV output. Secondly, based on cloud model theory, an uncertainty model for demand response is established. According to the established models, an efficient OPF model is constructed with a linearized submodels considering multiple uncertainties. By testing on the IEEE 30-bus system as a typical example, we found the effectiveness and superiority of the proposed OPF calculation method can benefit the power system economic operation and demand side resource utilization.
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关键词
optimal power flow,demand response,renewable energy grid,cloud model theory,multiple uncertainties
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