摘要
针对风电机组出力不确定性、负荷随机变化使电力系统无功优化潮流计算问题变得更为复杂的问题,提出采用机会约束规划方法来处理这些问题。首先,用随机变量描述风电机组的出力和母线负荷波动,采用机会约束来模拟线路容量约束和节点电压,以网络损耗最小为目标函数,建立基于机会约束规划的风电并网系统的随机无功优化潮流模型。之后,采用蒙特卡洛模拟嵌入内点法和改进粒子群算法的混合算法来求解该优化问题。最后,以IEEE 30节点和广东某地区实际电力系统为例来说明所提出的模型与方法的可行性和有效性。
Aiming at more complicated problem of reactive power optimization flow calculation caused by uncertain output and random change of load of the wind power unit, this paper proposes to solve this problem by using chance constrained programming method. Firstly, it uses random variables to describe output of the wind power unit and load fluctuation of the bus, adopts chance constrained programming method to simulate line capacity constraint and node voltage. In addition, it takes network loss minimum as objective function to establish random reactive power optimization flow model for wind pow- er integration system based on chance constrained programming. Then, it uses mixed algorithm of Monte Carlo simulation embedded interior-point method and improved particle swarm optimization to solve this optimization problem. At last, it takes IEEE30 node and one practical power system in Guangdong area to explain feasibility and effectiveness of this proposed model and method.
出处
《广东电力》
2013年第4期33-38,64,共7页
Guangdong Electric Power
基金
国家高技术研究发展863计划资助项目(2011AA05A105)
广东省自然科学基金资助项目(10151009001000045)
广东电网公司科技项目(K-GD2012-218)
关键词
电力系统
风力发电
机会约束规划
蒙特卡洛模拟
粒子群算法
power system
wind power generation
chance constrained programming
Monte Carlo simulation
particleswarm optimization
