中国电机工程学报2017，Vol.37Issue(17)：4974-4985,12.DOI:10.13334/j.0258-8013.pcsee.161300
基于虚拟电厂“热电解耦”的负荷优化调度及经济效益分析
Optimal Dispatch of Heat-Power Load and Economy Benefit Analysis Based on Decoupling of Heat and Power of Virtual Power Plant
摘要
Abstract
Many combined heat and power (CHP) units operates at the "ordering power by heat" mode during winter heating period in northern China,which causes the insufficient of power system peak-load regulation capacity and grievous wind curtailment.Supplying heat by wind power,which can effectively reduce wind curtailment,is difficult to apply in large-scale due to the problem of economic benefits and the incomplete dispatching platform.Focusing on the above problems,this paper formed CHP plant,wind farm and photovoltaic station in a certain heating region into virtual power plant (VPP) as an interest whole.The wind power heating equipment was introduced into VPP to realize the decoupling of heat and power of CHP units.The composition,structure and operating mode of VPP was described,the VPP heat-power load optimal dispatching model was constructed and the different VPP operating strategies was designed.By using adaptive immunity genetic algorithm to solve the model,the heat-power load optimal dispatching was realized inside VPE The simulation results show that the VPP model is reasonable and effective.The results also indicate that the operating strategy with wind power heating can effectively reduce the VPP deviation and environmental costs and increase the VPP benefit.The higher wind heating capacity in a certain range or wind photovoltaic predict accuracy will cause better VPP earnings.The advantages of VPP as an interest whole is also incarnated by the comparative study.关键词
热电联产机组/虚拟电厂/热电负荷优化调度/风电供热/出力偏差/虚拟电厂运行策略Key words
combined heat and power (CHP) units/virtual power plant/heat-power load optimal dispatching/wind power heating/power output deviation/virtual power plant (VPP) operating strategies分类
信息技术与安全科学引用本文复制引用
袁桂丽,王琳博,王宝源..基于虚拟电厂“热电解耦”的负荷优化调度及经济效益分析[J].中国电机工程学报,2017,37(17):4974-4985,12.基金项目
国家自然科学基金项目(61240037).Project Supported by National Natural Science Foundation of China(61240037). （61240037）
