黄桦,薛峰,吴雪莲,赵楠
HUANG Hua,XUE Feng,WU Xuelian,ZHAO Nan

• 1:电网运行风险防御技术与装备全国重点实验室(国电南瑞科技股份有限公司)
• 2:南京工程学院电力工程学院

摘要(Abstract)：

为提高直流微电网的能源利用效率和运行可靠性，需充分考虑可再生能源出力不确定性对系统运行的影响。针对现有调度方法常忽略网络约束或模型复杂度过高的问题，提出一种考虑节点电压与支路潮流约束的直流微电网鲁棒优化调度策略。首先，建立考虑网损和节点电压的直流微电网最优潮流模型，并通过虚拟负荷迭代法将其转化为线性模型进行高效求解。进一步，为应对光伏出力的不确定性，构建了一种协同机组出力基准值与实时参与因子的鲁棒优化框架，确保系统在功率波动最恶劣场景下仍能维持电压安全。最后，在33节点直流微电网系统上进行仿真验证，结果表明，基于虚拟负荷的鲁棒优化模型在有效防止电压越限的同时，可兼顾系统运行的经济性与鲁棒性，验证了所提策略的有效性。
To improve the energy efficiency and operational reliability of DC microgrids(MGs), it is essential to fully account for the impact of renewable energy output uncertainty on system operation. To address limitations of existing scheduling methods, which often neglect network constraints or suffer from excessive model complexity, this paper proposes a robust optimal scheduling strategy for DC MGs that incorporates both node voltage and branch power flow constraints. First, an optimal power flow model for DC MGs incorporating network losses and node voltages is established and efficiently solved by transforming it into a linear model using fictitious nodal demand(FND) iteration method. To handle photovoltaic output uncertainty, a robust optimization framework is further developed that coordinating the baseline output of units with real-time participation factors, ensuring voltage security under worst-case power fluctuation scenarios. Finally, simulations on a 33-node DC MG system demonstrate that the FNDbased robust optimization model effectively prevents voltage limit violations while maintaining both economic performance and robustness, thereby validating the effectiveness of the proposed strategy.

关键词(KeyWords)： 直流微电网;最优潮流;鲁棒优化;网络约束;参与因子
DC microgrid;optimal power flow;robust optimization;network constraints;participation factor

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金（U23B20122）;; 电网运行风险防御技术与装备全国重点实验室开放基金（SGNR0000KJJS2302152）

作者(Author): 黄桦,薛峰,吴雪莲,赵楠
HUANG Hua,XUE Feng,WU Xuelian,ZHAO Nan

DOI: 10.19585/j.zjdl.202607011

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