山东电力技术2025，Vol.52Issue(1)：28-37,10.DOI:10.20097/j.cnki.issn1007-9904.2025.01.003
基于改进遗传算法的交直流混联电网的无功优化方法
Reactive Power Optimization Method for AC/DC Hybrid Power Grids Based on Improved Genetic Algorithms
摘要
Abstract
With the continuous growth of China's economy,the demand for energy is also rising steadily.However,due to the inverse distribution of primary energy sources and load centers,the need for large-scale,long-distance transmission of new energy has become an urgent requirement industry requirement.Among the many transmission technologies,line commutated converters for high voltage direct current(LCC-HVDC)may aggravate the problem of voltage fluctuation and reactive power balance in the power grid due to their reactive power consumption characteristics.In response to this challenge,this paper focuses on the study of hybrid AC/DC power grids and constructs a mathematical model aimed at optimizing reactive power.To overcome the problems of initial population selection and premature convergence in genetic algorithms,this paper introduces innovative improvements to the traditional genetic algorithm.Through a series of experimental validations conducted on the improved IEEE 14-node and IEEE 39-node systems,the improved genetic algorithm proposed in this paper demonstrates its significant practicality and effectiveness.The algorithm can effectively optimize the reactive power in the power grid,significantly enhancing the stability and efficiency of the power grid's operation,and it provides a new solution for reactive power optimization in power grids.关键词
高压直流输电/遗传算法/交直流电网/无功优化Key words
high-voltage direct current transmission/genetic algorithm/AC/DC power grid/reactive power optimization分类
信息技术与安全科学引用本文复制引用
雷宇立,周承君,幸爱玲,牛涛,方斯顿..基于改进遗传算法的交直流混联电网的无功优化方法[J].山东电力技术,2025,52(1):28-37,10.基金项目
国家自然科学基金项目(52377075).National Natural Science Foundation of China(52377075). （52377075）
