基于不确定性优化理论的电网三级电压控制策略  

Three-Level Voltage Control Strategy for Power Grid Based on Uncertainty Optimization Theory

作　　者：应益强 付蓉[1] 黄校娟 徐俊[1] YING Yiqiang;FU Rong;HUANG Xiaojuan;XU Jun(Nanjing University of Posts and Telecommunications, Nanjing 210023 , China)

机构地区：[1]南京邮电大学,江苏南京210023

出　　处：《电器与能效管理技术》2019年第8期60-66,共7页Electrical & Energy Management Technology

基　　金：国家重点项目基金(61633016)

摘　　要：电网运行时伴随的大量不确定信息,是电压控制优化困难的关键因素。针对参数获取与处理过程中状态结果偏差的不确定性问题,提出了混合区间两阶段随机优化模型,用以描述电网实际状态相对计算结果的偏差的随机性,并利用设置的随机变量的正态分布特性,量化计算各典型场景发生的概率;考虑网损大小和电压调节方向偏差,建立全场景概率量化的多目标优化控制模型;通过引入基于模糊集理论的模糊化处理,将多目标模型转变成最大满意度的目标优化模型,提出基于差分进化的改进QPSO算法来求解。最后,通过算例仿真分析验证了所提出的模型及算法的有效性。A large amount of uncertain information accompanying the operation of the power grid is the key factor that is hard to do the voltage control optimization. Aiming at the uncertainty of the deviation of state results during parameter acquisition and processing, a two-stage stochastic optimization model of hybrid interval was proposed to describe the randomness of the deviation of the actual state of the grid from the calculated results,and the normal distribution characteristics of the set random variables were used, to quantitatively calculate the probability of occurrence of each typical scene. Then, considering the size of the network loss and the direction deviation of voltage regulation,a multi-objective optimization control model with full scene probability quantization was established. By introducing fuzzy processing based on fuzzy set theory, the multi-objective model was transformed into the target optimization model with maximum satisfaction. An improved QPSO algorithm based on differential evolution was proposed to solve it. Finally,the effectiveness of the proposed model and algorithm was verified by numerical simulation analysis.

关 键 词：无功优化 不确定性优化理论 QPSO算法 模糊集 

分 类 号：TM76[电气工程—电力系统及自动化]