基于改进遗传算法的城市电网负荷调度策略研究
Research on Urban Power Grid Load Dispatch Strategy Based on Improved Genetic Algorithm
李喜鸽 1赵乾1
作者信息
- 1. 新疆轻工职业技术学院,新疆乌鲁木齐 830021
- 折叠
摘要
随着城市化的快速发展,电力系统的稳定和高效运营变得尤为重要.文章旨在研究一种基于改进遗传算法的城市电网负荷调度策略,建立包含数据采集与处理、负荷预测、优化调度决策以及调度执行与监控的城市电网负荷调度总体框架.随后,对传统遗传算法进行改进,提高算法的搜索效率和解的质量.文章利用PJM电力市场的数据对提出的策略进行实际测试,验证改进遗传算法在电力负荷调度中的应用效果和实际性能.
Abstract
With the rapid development of urbanization,the stable and efficient operation of the power system has become particularly important.This article aims to study a load dispatch strategy for urban power grids based on an improved genetic algorithm.Firstly,an overall framework for urban power grid load scheduling was established,which includes data collection and processing,load forecasting,optimized scheduling decisions,and scheduling execution and monitoring.Subsequently,improvements were made to the traditional genetic algorithm to enhance the search efficiency and quality of the solution.This article uses data from the PJM electricity market to conduct practical tests on the proposed strategy,verifying the application effect and actual performance of the improved genetic algorithm in power load dispatch.
关键词
电网负荷/调度策略/遗传算法/锦标赛选择Key words
network load/scheduling strategy/genetic algorithm/tournament selection引用本文复制引用
出版年
2024
NETL
NSTL
万方数据