含有光伏发电的分布式能量系统设备容量优化  

Capacity optimization for equipment of distributed energy system with photovoltaic power generation subsystem

作　　者：白保华 丁泽宇[2] 王康 卜令习 侯宏娟[2] BAI Baohua;DING Zeyu;WANG Kang;BU Lingxi;HOU Hongjuan(State Grid Integrated Energy Service Group Co.,Ltd.,Beijing 100761,China;School of Energy,Power and Mechanical Engineering,North China Electric Power University,Beijing 102206,China)

机构地区：[1]国网综合能源服务集团有限公司,北京100761 [2]华北电力大学能源动力与机械工程学院,北京102206

出　　处：《热力发电》2020年第7期28-34,共7页Thermal Power Generation

基　　金：国家电网有限公司科技项目(52789918000A)。

摘　　要：针对分布式能量系统配置容量与实际负荷不匹配导致的设备运行小时数低和系统节能率较低的问题,本文以系统一次能源节约率和年总成本节约率最大为目标,采用带有压缩因子的粒子群优化算法和遍历法,考虑可变电制冷率建立了含有光伏发电的分布式能量系统关键设备容量优化模型,将该模型应用于北京某宿舍楼的分布式能量系统容量优化,并与考虑固定电制冷率容量优化的结果相比较,分析2种不同优化方法下储热系统的年运行情况。结果表明:考虑可变电制冷率的容量优化方法可有效提高系统经济性和综合性能;逐时优化后的电制冷率可降低系统余热量,减小储热系统容量。此外,分析得到了关键设备容量变化对系统性能的影响。In order to solve the problems of low equipment running hours and low energy saving rate caused by the mismatch between the configuration capacity of the distributed energy system and the actual load,a capacity optimization model considering variable electric refrigeration rate is proposed,in which the particle swarm optimization(PSO)algorithm with the compression factor and traversal method is used,and the maximum primary energy saving rate and annual total cost saving rate is taken as the target.Moreover,this model is applied to the capacity optimization of distributed energy system in a dormitory building in Beijing,and the result is compared with that by the method considering fixed electric refrigeration rate,and the annual operation of the heat storage system under two different optimization methods is analyzed.The final result shows that,the capacity optimization method considering variable electric refrigeration rate could effectively improve the economy and comprehensive performance of the system.The hourly optimized electric refrigeration rate can reduce both the residual heat of the system and the capacity of the heat storage system.In addition,the influences of capacity change of key equipment on system performance are analyzed.

关 键 词：分布式能量系统 容量优化 粒子群优化算法 可变电制冷率 一次能源节约率 年总成本节约率 

分 类 号：TK019[动力工程及工程热物理]