基于改进遗传算法的煤矿供电多目标无功优化研究  

Multi-objective Reactive Power Optimization of Coal Mine Power Supply System Based on Improved Genetic Algorithm

作　　者：任磊 REN Lei(Jiuxian Open-pit Coal Industry Co.,Ltd.of Hequ,Shanxi Coal Imp.&Exp.Group,Xinzhou 036500,Shanxi,China)

机构地区：[1]山西煤炭进出口集团河曲旧县露天煤业有限公司,山西忻州036500

出　　处：《能源与节能》2025年第2期80-83,共4页Energy and Energy Conservation

摘　　要：针对煤矿供电系统的特点,以多目标无功优化为研究对象,提出了一种基于改进遗传算法的无功优化策略。该方法通过引入多种群并行进化机制,增强了种群多样性和全局搜索能力;采用算术交叉和启发式交叉算子,提升了算法在处理约束优化问题和实值基因组方面的性能;结合精英保留策略,确保了优化过程的稳定性和收敛速度。仿真结果表明,相比于传统的无功优化方法,提出的基于改进遗传算法的多目标无功优化策略能够提升无功优化方案的综合质量。此外,还探讨了该领域未来的研究方向,包括结合深度学习和强化学习、考虑分布式电源和储能的协同优化、研究无功优化与电能质量控制的协同以及利用大数据技术进行更深层次的优化等,为进一步提升煤矿供电系统的运行效率和智能化水平提供了参考。Based on the characteristics of the coal mine power supply system,taking multi-objective reactive power optimization as the research object,a reactive power optimization strategy based on an improved genetic algorithm was proposed.This method enhances population diversity and global search capabilities by introducing multiple population parallel evolution mechanisms;using arithmetic crossover and heuristic crossover operators to improve the performance of the algorithm in handling constrained optimization problems and real-valued genomes;ensuring the stability and convergence speed of the optimization process combined with an elite retention strategy.The simulation results show that compared with the traditional reactive power optimization method,the proposed multi-objective reactive power optimization strategy based on the improved genetic algorithm can improve the overall quality of the reactive power optimization solution.In addition,future research directions in this field was also discussed,including combining deep learning and reinforcement learning,considering the collaborative optimization of distributed power sources and energy storage,studying the collaboration between reactive power optimization and power quality control,and using big data technology to conduct deeper The optimization,etc.,providing a reference for further improving the operating efficiency and intelligence level of the coal mine power supply system.

关 键 词：改进遗传算法 煤矿企业 供电系统 多目标 无功优化 

分 类 号：TD61[矿业工程—矿山机电]