摘要
为了改善现有无功功率调度时算法执行效率,解决模型易陷入局部极值问题,提出一种基于改进人工蜂群算法模型。在分析等式和不等式约束的情况下,建立最小化实际功率损耗、电压偏差和电压稳定增强的无功功率调度目标函数。提出一种基于邻域半径选择的改进人工蜂群算法,设计一种新的邻域选择机制和改进的搜索策略。实验阶段,以IEEE39总线电力系统为例,对所提算法有效性和执行效率进行验证。与线性规划(LP)、粒子群优化(PSO)算法和基础人工蜂群(ABC)算法相比,改进ABC算法比其他算法执行效率更优,且解的质量更高。该模型为配电网电力调度及稳定性运行的发展提供了一定借鉴作用。
In order to improve the efficiency of the existing reactive power scheduling algorithm and solve the problem that the model is prone to fall into local extremum,a model based on the improved artificial bee colony algorithm is proposed.An objective function of reactive power scheduling is established to minimize the actual power loss,voltage deviation and voltage stability enhancement under the constraints of equality and inequality.An improved artificial bee colony algorithm based on neighborhood radius selection is proposed,and a new neighborhood selection mechanism and an improved search strategy are designed.In the experimental stage,the IEEE39 bus power system is taken as an example to verify the effectiveness and efficiency of the proposed algorithm.Compared with linear programming(LP),particle swarm optimization(PSO)and basic artificial bee colony(ABC)algorithm,the improved ABC algorithm has better execution efficiency and higher solution quality than other algorithms.This model provides a reference for the development of power dispatching and stable operation of distribution network.
作者
周运斌
杨静
董楠
ZHOU Yunbin;YANG Jing;DONG Nan(Dispatch Control Center,State Grid Beijing Electric Power Company,Beijing 100031,China)
出处
《微型电脑应用》
2024年第8期178-180,189,共4页
Microcomputer Applications
关键词
智能电网
无功功率、电力调度
潮流约束
优化
人工蜂群
smart grid
reactive power and power dispatching
tidal current constraint
optimization
artificial bee colony
