基于机会约束凸松弛的分区随机无功备用优化方法

发布时间：2018-01-04 05:31

本文关键词：基于机会约束凸松弛的分区随机无功备用优化方法　出处：《电工技术学报》2015年15期 　论文类型：期刊论文

【摘要】：针对含不确定性的新能源大量接入和系统无功功率的区域特性,提出一种基于电压控制分区的区域随机无功备用优化方法。首先采用基于凝聚聚类和模块度指标对系统进行无功分区,然后利用松弛方法将含随机性的优化模型转换为确定型,最后提出基于无功分区的逐次无功备用优化方法。若干仿真算例的分析证明,机会约束凸松弛方法可较准确地转换机会约束,而分区优化方法将高维的无功备用问题转换为低维的子问题,提高了算法的寻优效率,获得的优化方案可显著提高区域无功备用和电压稳定裕度,降低系统运行的风险,并对N-1故障后系统的电压水平也有一定改善作用。
[Abstract]:Aiming at the regional characteristics of mass access to new energy sources with uncertainty and reactive power of the system. A regional stochastic reactive power reserve optimization method based on voltage control partition is proposed. Firstly, reactive power partition is carried out based on condensed clustering and modularity index. Then the optimization model with randomness is transformed into a deterministic model by using relaxation method. Finally, a successive reactive power backup optimization method based on reactive power partition is proposed. The chance constraint convex relaxation method can convert the opportunity constraint more accurately, while the partition optimization method converts the high-dimensional reactive power reserve problem into the low-dimensional subproblem, which improves the optimization efficiency of the algorithm. The optimized scheme can significantly improve the regional reactive power reserve and voltage stability margin, reduce the risk of system operation, and improve the system voltage level after N-1 failure.
【作者单位】：电力传输与功率变换教育部重点实验室(上海交通大学);香港大学电机工程系;中国电力科学研究院系统所;
【基金】：国家自然科学基金重点项目(51337005) 国家重点基础研究发展(973)计划(2014CB23903)资助
【分类号】：TM714.3
【正文快照】： 2.香港大学电机工程系香港3.中国电力科学研究院系统所北京100192)0引言发电机无功备用对维持电力系统的稳定运行具有重要意义[1],对其进行优化可有效改善系统的安全水平。目前,无功备用容量主要有物理备用[2]和有效备用[3]两种方式,而由于有效备用能够更准确地衡量发电机的无

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