煤矿供电系统全局无功优化调度技术研究
Research on Global Reactive Power Optimization Scheduling Technology for Coal Mine Power Supply System
王浩宇1
作者信息
- 1. 山西焦煤集团霍州煤电辛置煤矿,山西临汾 031400
- 折叠
摘要
针对传统煤矿供电系统无功优化调度技术的局限性,介绍了一种全局无功优化调度技术方案.该技术方案在标准遗传算法的基础上,引入了算术交叉和启发式交叉思想,形成了改进多种群遗传算法.以某煤矿为研究案例,结合煤矿实际情况,通过算例分析方法进行工程应用,确认了改进多种群遗传算法具有收敛速度快、节能降耗力度大等优势.
Abstract
Based on the limitations of traditional reactive power optimization scheduling technology in coal mine power supply systems,a global reactive power optimization scheduling technology scheme is introduced.This technical solution,based on the standard genetic algorithm,arithmetic crossover and heuristic crossover ideas are introduced to form an improved multi population genetic algorithm.Taking a coal mine as a research case,combined with the actual situation of the coal mine,the engineering application is carried out through the example analysis method,and then it is confirmed that the improved multi population genetic algorithm has the advantages of fast rate of convergence,large energy saving and consumption reduction.
关键词
煤矿/供电系统/全局无功优化调度/混沌粒子群算法Key words
coal mine/power supply system/global reactive power optimization scheduling/chaotic particle swarm optimization引用本文复制引用
出版年
2024
NETL
NSTL
万方数据