基于遗传算法的集中式电采暖系统优化研究  

Optimization Study of Centralized Electric Heating System based on Genetic Algorithm

作　　者：杨卓 宫铭远 周志刚 谌薛蛟 YANG Zhuo;GONG Ming-yuan;ZHOU Zhi-gang;CHEN Xue-jiao(School of Architecture,Harbin Institute of Technology;Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology,Ministry of Industry and Information Technology)

机构地区：[1]哈尔滨工业大学建筑学院 [2]寒地城乡人居环境科学与技术工业和信息化部重点实验室

出　　处：《建筑热能通风空调》2022年第1期1-5,共5页Building Energy & Environment

基　　金：国家重点研发计划课题(2018YFD1100703-06)。

摘　　要：本文建立了集中式电热膜采暖系统优化仿真模型,研究了电热膜分组启动方案的可行性,并结合遗传算法对该电采暖系统的运行策略进行优化,通过实际工程对方法进行了验证分析,结果表明优化后的系统经济性与节能性获得了较大的提升。This paper establishes a centralized electric heating membrane heating system optimization simulation model,studies the feasibility of the electric heating membrane group startup scheme,and optimizes the operation strategy of the electric heating system in combination with genetic algorithm,and verifies and analyzes the method through the actual project,the results show that the optimized system economy and energy conservation are greatly improved.

关 键 词：电采暖 仿真模拟 遗传算法 模拟分析 

分 类 号：TU832[建筑科学—供热、供燃气、通风及空调工程] TP18[自动化与计算机技术—控制理论与控制工程]