光伏发电场景下的智能配电网络规划与优化算法研究

Research on Intelligent Distribution Network Planning and Optimization Algorithm in Photovoltaic Power Generation Scenario

随着全球能源危机的加剧和环境问题的日益严重,寻找清洁、可再生能源已成为当务之急。光伏发电作为一种绿色、无污染的能源形式,受到广泛关注。文章深入分析光伏发电对配电网络的影响,探究智能配电网络规划的理论基础与技术要求,通过引入线性规划、遗传算法等,实现对电网结构、容量配置及设备选型的优化。与传统规划算法相比,智能规划算法在各个指标上均得到改善,为智能配电网络规划提供了有效的理论支持。

With the intensification of the global energy crisis and the increasingly serious environmental problems,it has become a top priority to find clean and renewable energy.Photovoltaic power generation,as a green and pollution-free energy form,has been widely concerned.This paper deeply analyzes the influence of photovoltaic power generation on distribution network,explores the theoretical basis and technical requirements of intelligent distribution network planning,and realizes the optimization of power grid structure,capacity allocation and equipment selection by introducing linear programming and genetic algorithm.Compared with the traditional planning algorithm,the intelligent planning algorithm has been improved in all indexes,which provides effective theoretical support for intelligent distribution network planning.