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含压缩空气储能的能源互联微网型系统优化配置
引用本文:王之龙,于东立,门向阳,曹军,方野.含压缩空气储能的能源互联微网型系统优化配置[J].电力需求侧管理,2018,20(6):40-45.
作者姓名:王之龙  于东立  门向阳  曹军  方野
作者单位:华北电力大学新能源电力系统国家重点实验室,北京102206,华北电力大学新能源电力系统国家重点实验室,北京102206,华北电力大学新能源电力系统国家重点实验室,北京102206,华北电力大学新能源电力系统国家重点实验室,北京102206,中国南方电网超高压输电公司天生桥局,贵州兴义562400
基金项目:国家自然基金“多端柔性直流输电网络馈入的交直流电网可用输电能力评估”(51407070)
摘    要:首先构建了含分布式光伏、压缩空气储能(compressed air energy storage, CAES)、需求侧响应、燃气轮机等设备的能源互联微网型系统模型。在此基础上以安装成本、能耗成本和需求侧响应成本等构成的年运行费用最低为优化目标,分析对比不同场景下分布式光伏电池组数量、能源互联微网中设备的配置情况及CAES、需求侧响应和电动汽车入网(vehicle to grid, V2G)技术对设备容量配置和微网中各类成本的影响。特别的,考虑了CAES透平机透平压力、透平温度、需求侧响应比例等参数及有无V2G对微网系统影响。算例结果表明,所提模型能合理化能源互联微网中设备容量配置和降低能源互联微网年运行费用。

关 键 词:能源互联微网  压缩空气储能  需求侧响应  优化配置  冷热电负荷
收稿时间:2018/8/6 0:00:00
修稿时间:2018/9/12 0:00:00

Optimal configuration of energy interconnection microgrid system with compressed air energy storage
WANG Zhi long,YU Dong li,MEN Xiang yang,CAO Jun and FANG Ye.Optimal configuration of energy interconnection microgrid system with compressed air energy storage[J].Power Demand Side Management,2018,20(6):40-45.
Authors:WANG Zhi long  YU Dong li  MEN Xiang yang  CAO Jun and FANG Ye
Affiliation:State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Beijing 102206, China,State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Beijing 102206, China,State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Beijing 102206, China,State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Beijing 102206, China and China Southern Power Grid EHV Transmission Corporation Tianshengqiao Bureau, Xingyi 562400, China
Abstract:An energy interconnect microgrid system model with distributed photovoltaic, CAES, demand side response, gas turbine and other equipment is proposed.Then the minimum annual operating cost, including installation cost, energy cost and demand side response cost, is set as the optimization goal.The impact of the number of distributed photovoltaic cells, the configuration of devices, CAES, demand side responses and V2G on device capacity allocation and various costs in the microgrid are analyzed under different scenarios.In particular, the effects of parameters such as the turbine pressure, temperature of the CAES and with or without V2G on the microgrid system are considered.The model proposed can rationalize the equipment capacity configuration and reduce the annual operating cost of energy interconnection microgrid.
Keywords:energy interconnection microgrid  compressed air energy storage  demand side response  configuration optimization  cooling  heating and power loads
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