期刊文献+

基于遗传算法的分布式多能互补能源系统优化配置

Optimalized Configuration of a Distributed Multi-energy Complementary Energy System Based on a Genetic Algorithm
下载PDF
导出
摘要 随着我国能源改革的推进,将分布式能源与多能互补系统相结合,形成的分布式多能互补能源系统能够对能源实现梯度利用。文章根据目前供能现状,综合讨论了分布式多能互补能源系统微源模型,对分布式多能互补能源系统的评价指标进行分析。通过遗传算法,将分布式多能互补能源系统中的风机、光伏容量、燃气轮机进行优化,以期能够实现节能、经济、环保的能源互补系统。 With the advancement of China’s energy reform,the combination of distributed energy and multi-energy complementary system,the formation of the distributed multi-energy complementary energy system can realize the gradient utilization of energy.According to the current situation of energy supply,the micro-source model of the distributed multi-energy complementary energy system is discussed comprehensively,and this paper analyzes the evaluation index of the distributed multi-energy complementary energy system.Through the genetic algorithm,the fan,photovoltaic capacity and gas turbine in the distributed multi-energy complementary energy system are optimized,in order to realize the energy-saving,economic and environmental protection energy function system.
作者 高敏 徐超然 李浩奇 Gao Min;Xu Chao-ran;Li Hao-qi
出处 《电力系统装备》 2023年第2期32-34,共3页 Electric Power System Equipment
关键词 遗传算法 分布式多能互补能源系统 优化配置 genetic algorithm distributed multi-energy complementary energy system optimal configuration
  • 相关文献

参考文献2

二级参考文献15

共引文献16

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部