基于负荷预测的变电站无功电压控制  

Substations' Dynamic Reactive Optimal Control Based on Load Forecast

作　　者：周滢露[1] 颜伟[1] 王官洁[1] 

机构地区：[1]重庆大学电气工程学院,重庆400044

出　　处：《重庆大学学报（自然科学版）》2003年第9期89-92,122,共5页Journal of Chongqing University

摘　　要：详细分析了九区图控制原理中可能存在的各种问题,提出基于该原理的电压无功综合控制(VQC)装置难以满足实际变电站的电压无功控制要求。针对以上问题,提出了一种有效的动态无功综合优化方法来实现变电站的电压无功控制。该方法基于神经网络的负荷预测、灵敏度分析的分段等效处理,考虑了实际系统的各种约束和要求,以动态无功优化模型和无功优化修正模型来确定预测范围内外的变电站电压无功综合优化控制决策。通过算例,验证了该模型和算法的有效性,同时也说明了变电站实现动态无功综合优化控制的可行性。This paper detailedly analyses a variety of problems which are probably in control principle of nine area diagram, and points out it is difficult for VQC devices basing on this control principle to satisfy with substation's voltage reactive control requirements. An effective dynamic reactive optimal method is proposed for solving VQC problems. Depending on load forecast by ANN and load segmenting equivalence by sensitivity analysis, Two kinds of reactive optimal model in which the restrictions and requirements of real system are taken into consideration are set up to find out the control scheme of transformer substation's voltage and reactive whenever the change of real load is within or without the range of forecast. It is testified by simulation that the model and method proposed is effective and that substations can implement dynamic reactive optimal control.

关 键 词：变电站 动态无功优化 负荷预测 神经网络 

分 类 号：TM762[电气工程—电力系统及自动化]