申萌均, 王玲玲. 计及风电相关性的主动配电网有功无功协调鲁棒优化调度策略[J]. 现代电力, 2023, 40(6): 1013-1022. DOI: 10.19725/j.cnki.1007-2322.2022.0136
引用本文: 申萌均, 王玲玲. 计及风电相关性的主动配电网有功无功协调鲁棒优化调度策略[J]. 现代电力, 2023, 40(6): 1013-1022. DOI: 10.19725/j.cnki.1007-2322.2022.0136
SHEN Mengjun, WANG Lingling. A Robust Coordinated Active-reactive Power Optimal Operation Strategy for Active Distribution Network With Correlated Wind Power[J]. Modern Electric Power, 2023, 40(6): 1013-1022. DOI: 10.19725/j.cnki.1007-2322.2022.0136
Citation: SHEN Mengjun, WANG Lingling. A Robust Coordinated Active-reactive Power Optimal Operation Strategy for Active Distribution Network With Correlated Wind Power[J]. Modern Electric Power, 2023, 40(6): 1013-1022. DOI: 10.19725/j.cnki.1007-2322.2022.0136

计及风电相关性的主动配电网有功无功协调鲁棒优化调度策略

A Robust Coordinated Active-reactive Power Optimal Operation Strategy for Active Distribution Network With Correlated Wind Power

  • 摘要: 随着风电渗透率的不断提高,如何在提高主动配电网运行稳定性的同时减少运行成本,成为亟待解决的问题。考虑储能、燃气轮机以及变压器分接头、电容器组投切等主动管理措施,建立以降低配电网运行成本和缩小电压偏差为目标的主动配电网有功无功协调鲁棒优化调度模型。针对风电机组出力相关性,利用最小体积封闭椭球(minimum volume enclosing ellipsoid,MVEE)算法将风电出力场景转化为椭圆不确定集合约束,改善了传统区间不确定集合过于保守的缺点。利用锥对偶理论,将构建的鲁棒模型转化为上下两层混合整数二阶锥规划问题,采用列约束生成算法进行求解。在改进的IEEE 33节点配电网算例中进行仿真分析,研究了风电出力相关性对配电网优化调度的影响,验证了所提方法的经济性和鲁棒性。

     

    Abstract: With increasing penetration of wind power, how to improve the operational stability of active distribution network while reducing operating costs has become an urgent problem to be solved. A robust coordinated active-reactive power optimization for the distribution network is established in this paper, aiming at reducing the operation costs and voltage deviation of the distribution network. The decision variables include the operation strategy of energy storage system, output of gas turbine and active management measures such as adjustment of transformer tap, capacitor banks. The MVEE (Minimum Volume Enclosing Ellipsoid) algorithm is used to transform the correlated wind power output scenarios into elliptic uncertain set constraints considering the correlation of wind turbine output, which improves the conservative property of the traditional interval uncertainty set of robust optimization. The conic duality theorem is used to transform the proposed robust model into bi-level mixed-integer second-order cone programming problem. The column constrained generation algorithm is used to solve the two-layer optimal scheduling problem. The simulation analysis is carried out on the improved IEEE 33-bus distribution network. The influence of wind power output correlation on the distribution network optimal scheduling is studied, and the economic and robustness of the proposed method are verified.

     

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