基于三点估计法的含风电场电力系统无功优化  

Reactive Power Optimization of Power System Containing Wind Farm Based on Three-point Estimation Method

作　　者：栗然[1] 范航[1] 靳保源 张凡[1] 

机构地区：[1]华北电力大学新能源电力系统国家重点实验室,河北保定071003

出　　处：《华北电力大学学报（自然科学版）》2017年第6期20-27,共8页Journal of North China Electric Power University：Natural Science Edition

摘　　要：针对电力系统无功优化时风电出力及负荷的不确定性和相关性,建立一种综合考虑多种不确定因素的无功优化模型。采用三点估计法处理该模型中的不确定因素,将不确定潮流计算转化为较少采样点处的确定潮流计算。为克服花朵授粉算法易陷入局部最优、寻优精度低等不足,将拉丁超立方采样技术、自适应调整转换概率及邻域策略应用于花朵授粉算法,提出一种改进花朵授粉算法求解所建优化模型。在含风电场的IEEE30节点系统上进行仿真测试,结果表明所提无功优化模型和求解方法在不确定环境下能够有效降低系统网损并减小系统状态变量发生越限的风险,从而保证系统的安全经济运行。In allusion to the uncertainty and correlation of wind power output and load in the reactive power optimization of power system,a reactive power optimization model considering a variety of uncertain factors is established. The three-point estimation method is used to deal with the uncertain factors in the model. And the uncertain power flow calculation is transformed into the determined power flow at less sampling points. In order to cope with the local optimum and low optimization precision problems of flower pollination algorithm,a modified flower pollination algorithm is proposed to solve the established optimization model,to which the Latin hypercube sampling technique,adaptive adjustment of switching probability and neighborhood strategy are applied. A simulation is carried out on the IEEE 30-bus system containing wind farm,and the results show that the proposed reactive power optimization model and solution can effectively reduce the power loss and the cross-border risk of system state variables in uncertain environment,thus ensuring the safe and economical operation of the system.

关 键 词：无功优化 风电场 三点估计法 花朵授粉算法 

分 类 号：TM614[电气工程—电力系统及自动化]