电力系统自动化2018，Vol.42Issue(13)：20-28,42,10.DOI:10.7500/AEPS20180126006
基于热网与建筑物储热解耦的调峰能力提升方案
Promotion Method of Peak Regulation Capacity by Power and Heat Decoupling Based on Heat Storage of District Heating Network and Buildings
摘要
Abstract
The combined heat and power(CHP)units are operating in the mode of power determined by heat during the heating seasons in the "Three North" areas of China,which forms power and heat coupling operation constraints.This makes the system peak regulation capacity insufficient,which results in heavy wind power curtailment.A method is proposed which can decouple the power and heat operation constraint of CHP units based on heat storage of district heating network and buildings. The technical feasibility of the proposed method is analyzed by the estimation of the potential to enhance wind power integration and the comparison of the investment for several existing methods,and the technical implementation is given by constructing CHP dispatch model.The effects of power output and deep peak regulation ancillary service cost of each main entity are analyzed by applying the proposed method,with summarization and abstraction of the operation rules for the deep peak regulation ancillary service market,in the background of the pilot reform for the Northeast China peak regulation ancillary service market.Furthermore,the individual benefit of each main entity and overall benefits of the system by applying the proposed method are elaborated.The analysis above is verified by simulation cases,and the results show that CHP units are willing to actively participate in system peak regulation by utilizing the proposed method at the individual level,and optimal allocation of the scarce peak regulation resources can be realized at the overall level.关键词
热网与建筑物储热/电热耦合/调峰/辅助服务/风电消纳/效益分析Key words
heat storage of district heating network and buildings/power and heat coupling/peak regulation/ancillary service/wind power accomandation/benefit analysis引用本文复制引用
李平,赵适宜,金世军,唱友义,王漪,李卫东..基于热网与建筑物储热解耦的调峰能力提升方案[J].电力系统自动化,2018,42(13):20-28,42,10.基金项目
国家自然科学基金资助项目(51607021). This work is supported by National Natural Science Foundation of China(No.51607021). （51607021）
