| 引用本文: | 符杨,武洁,苏向敬,田书欣,米阳,李海瑜,耿福海.不平衡主动配电网电压无功两阶段多目标鲁棒优化[J].电力自动化设备,2024,44(5):79-87. |
| FU Yang,WU Jie,SU Xiangjing,TIAN Shuxin,MI Yang,LI Haiyu,GENG Fuhai.Two-stage multi-objective robust optimization of voltage/var for unbalanced active distribution network[J].Electric Power Automation Equipment,2024,44(5):79-87. |
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| 摘要: |
| 高间歇性分布式电源大量接入、线路排布不对称、负荷分布不均匀等因素加剧了配电网的三相不平衡。同时，分布式电源和负荷的显著不确定性导致配电系统电压越限频繁以及网络能量损耗增加。引入电压不平衡度二阶锥约束，以降低主动配电网的三相不平衡程度；采用鲁棒优化方法对分布式电源与负荷的不确定性进行建模；在此基础上，提出一种不平衡主动配电网的两阶段多目标电压无功控制模型，以最小化系统电压偏差和网络能量损耗；结合二阶锥松弛与线性化技术将非凸模型转化为可求解形式，利用法线边界相交算法处理多目标问题，并采用列与约束生成算法将可求解模型分为主问题与子问题进行迭代求解，从而得到鲁棒帕累托最优解。基于澳大利亚某真实配电网验证所提方法的有效性和鲁棒性。 |
| 关键词: 不平衡 不确定性 鲁棒优化 两阶段 多目标 电压无功 |
| DOI：10.16081/j.epae.202311027 |
| 分类号: |
| 基金项目:国家自然科学基金智能电网联合基金资助项目(U2066214) |
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| Two-stage multi-objective robust optimization of voltage/var for unbalanced active distribution network |
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FU Yang1, WU Jie1, SU Xiangjing1, TIAN Shuxin1, MI Yang1, LI Haiyu2, GENG Fuhai2
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1.College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.Shanghai Energy Technology Development Co.,Ltd.,State Power Investment Corporation Limited, Shanghai 200233, China
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| Abstract: |
| Three phase unbalance of distribution network is aggravated by the factors such as massive integration of highly intermittent distributed generation, asymmetry of line layout and uneven distribution of loads. Meanwhile, frequent voltage violation of distribution network and increase of network energy loss are caused by the remarkable uncertainty of distributed generation and loads. A second-order cone constraint of voltage unbalance degree is introduced to reduce the three phase unbalance degree of active distribution network. A robust optimization method is adopted to model the uncertainty of distributed generation and loads. On this basis, a two-stage multi-objective voltage/var control model for active unbalanced distribution network is proposed to minimize the system voltage deviation and network energy loss. The second-order cone relaxation and linearization technique are combined to transform the non-convex model into a solvable form, the normal boundary intersection algorithm is used to deal with the multi-objective problem, and the column-and-constraint generation algorithm is adopted to divide the solvable model into a main problem and a sub-problem for iterative solving, thus a robust Pareto optimal solution is obtained. The validity and robustness of the proposed method are verified based on a real Australian distribution network. |
| Key words: unbalance uncertainty robust optimization two-stage multi-objective voltage/var |
