摘要
以区域内多类型建筑的多元负荷为研究对象,提出了基于最大负荷和平均负荷的波动率指标。构建了以区域建筑群整体负荷波动最小为目标的建筑混合比优化模型,并采用遗传算法进行求解分析。针对典型区域建筑群,分析了模型优化目标、冷热电负荷权重、区域类型对建筑混合比的影响.并探讨了典型日多元负荷及其热电比的平准化效果。
Focusing on multiple loads in multi-type buildings,proposes volatility indexes based on the maximum load and the average load.Taking the minimum volatility index as the objective function,develops an optimization model for the determination of mixing ratio of building complexes within a local area,and solves the problem with the genetic algorithm.According to the load profiles of typical building complexes,analyses the influence of objective functioweights of different loads and area type on the optimal mixing ratio,and discusses the leveling results of multiple loads and corresponding heat-to-power ratios on typical days.
作者
任洪波
徐佩佩
李琦芬
吴琼
杨涌文
夏麟
Ren Hongbo;Xu Peipei;Li Qi fen;Wu Qiong;Yang Yongwen;Xia Lin(Shanghai University of Electric Power,Shanghai,China;不详)
出处
《暖通空调》
2020年第10期114-119,46,共7页
Heating Ventilating & Air Conditioning
基金
“十三五”国家重点研发计划项目(编号:2018YFB1502900)
上海市科委重点研究项目(编号:18DZ1203200,19DZ1206800)
国家自然科学基金项目(编号:71804106)。
关键词
多元负荷
波动率
优化模型
遗传算法
混合比
平准化
multiple loads
volatility
optimization model
genetic algorithm
mixing ratio
leveling
