分布式电源并网动态无功优化调度的研究  

Study on dynamic reactive power optimization dispatching for a local power system with distributed generators

作　　者：杨素琴[1] 罗念华[2] 韩念杭[1] 

机构地区：[1]南京工程学院电力工程学院,江苏南京211167 [2]南京南瑞继保电气有限公司,江苏南京211102

出　　处：《电力系统保护与控制》2013年第17期122-126,共5页Power System Protection and Control

基　　金：南京工程学院科研基金重点项目(QKJA2009013)

摘　　要：根据分布式电源并网的控制特性,将分布式电源设计为电压控制型和无功补偿型,考虑其与地区电网的电压无功控制手段相结合,参与地区电网动态无功优化调度。建立以降低地区电网网损、抑制电压波动为综合目标的地区电网模糊动态无功优化调度模型。在该模型中,通过构造模糊评价函数,将目标函数转化为对优化结果的满意度,并利用自适应权重法将综合目标进行归一化处理。最后采用改进遗传算法有效求解含分布式电源的地区电网动态无功优化调度策略。算例表明,提出的模型和方法是合理的,具有一定参考价值。Based on the control characters of distributed generators （DG） integrated into a local power system, DG is divided into voltage-controlled type and reactive-compensated type. DG participates in reactive power optimization control. A dispatch model for fuzzy dynamic reactive power optimization control of a local power system is presented with a compositive objective of reducing the network loss and restricting node voltage variations of a local system. In this model, a fuzzy evaluation function is established to transfer the objective function into the satisfaction degree on optimization results. A method based on self-adaptive weight is proposed to normalize the compositive objective. Improved genetic algorithm （IGA） is used to solve dynamic reactive power optimization dispatch in a local power system with distributed generators. The numerical example analysis shows the rationality of the model as well as its reference value.

关 键 词：分布式电源 地区电网 动态无功优化 调度模型 改进遗传算法 

分 类 号：TM714.3[电气工程—电力系统及自动化]