作者：沙强益1, 王维庆1, 苟轩2
作者单位：1. 新疆大学 可再生能源发电与并网技术教育部工程研究中心，新疆 乌鲁木齐 830047;
2. 电子科技大学自动化工程学院，四川 成都 611731
关键词：分布鲁棒优化;矩;交流潮流;机组组合
摘要：
针对风电和光伏出力随机过程难以表达为确切概率密度与分布的问题，构建基于矩不确定的交流潮流约束分布鲁棒机组组合模型，其中风电光伏功率的不确定性分别由一阶矩和二阶矩两个不确定集合捕获，根据分布集合的特点提出一种割平面方法对分布鲁棒机会约束进行求解。选择修改后的IEEE-RTS 24节点系统建立仿真算例，计算结果表明通过设置不同保守系数和置信水平可得到经济性和安全性不同侧重的机组组合结果，进而为调度运行提供合理的决策依据。
Distributionally robust unit commitment considering AC power flow based on moment uncertainty
SHA Qiangyi1, WANG Weiqing1, GOU Xuan2
1. Engineering Research Center of Education Ministry for Renewable Energy Power Generation and Grid Control, Xinjiang University, Urumqi 830047, China;
2. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Abstract: In order to solve the problem that the stochastic process of wind power and photovoltaic output is difficult to express as the exact probability density and distribution, a robust unit commitment model with AC constraints based on moment uncertainty is constructed. The uncertainty of wind/photovoltaic power is captured by two uncertain sets of first-order and second-order moment. According to the characteristics of the distribution set, a cut plane method is proposed to solve the distributed robust chance constraints. The modified IEEE-RTS 24 node system is selected to establish a simulation example. The calculation results show that by setting different conservative coefficient and confidence level, the unit commitment results with different emphasis on economy and safety can be obtained, which provides reasonable decision basis for dispatching operation.
Keywords: distributed robust optimization;moment;AC power flow;unit commitment
2020, 46(11):102-108 收稿日期: 2020-03-10;收到修改稿日期: 2020-05-22
基金项目: 国家自然科学基金项目（51667020）；教育部创新团队项目（IRT-16R63）；新疆自治区重点实验室开放课题（2018D0400）
作者简介: 沙强益(1974-),男,江苏邳州市人,高级工程师,博士,研究方向为新能源电力系统规划、运行与控制技术
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