摘要
通过对有关分布式发电的有功和无功输出特性进行研究,建立了含分布式发电的配电网无功优化数学模型,并通过改进的粒子群优化算法对模型进行优化。该模型以系统网损和电压偏差最小为优化目标,以系统的有功、无功以及节点电压为约束条件,利用惩罚函数的形式对越限的电压进行处理,并且以IEEE33系统节点为仿真实例进行仿真。仿真结果表明,通过优化粒子群算法对配网系统无功优化后,系统中有功损耗和电压质量都得到了显著的改善。
In this paper,a mathematical model was established for reactive power optimization of distribution network with distributed generation based on the studies on the active and reactive power output characteristics of distributed generation,and the model was optimized by improved particle swarm optimization algorithm.Taking the minimum system loss and voltage deviation as the optimization objective and the active power,reactive power and node voltage of the system as the constraints,the over-voltage is processed in the form of penalty function in this model.The IEEE33nodes system simulation results show that the active power loss and voltage equality of the distribution network system have been significantly improved after the reactive power optimization by the optimized particle swarm optimization algorithm.
作者
李超
赵志刚
王亮
代相波
LI Chao;ZHAO Zhi-gang;WANG Liang;DAI Xiang-bo(School of Electric Power Engineering,Shenyang Institute of Engineering,Shenyang 110136,Liaoning Province)
出处
《沈阳工程学院学报(自然科学版)》
2019年第1期78-81,92,共5页
Journal of Shenyang Institute of Engineering:Natural Science
关键词
分布式发电
配电网
无功优化
优化粒子群算法
Distributed generation
Distribution network
Reactive Power Optimization
Particle Swarm Optimization Algorithm