电测与仪表2017，Vol.54Issue(14)：1-6,6.
促进风电消纳的需求响应与储热CHP联合优化模型
An optimization model of promoting accommodation of wind power combining demand response and CHP with heat storage
摘要
Abstract
Under the traditional scheduling mode, the system load capacity is insufficient and abandoned wind seriously. Firstly, with the help of regulation load capacity, the demand response can adjust user load shifting in load-peak period and reduce the abandoned wind, and then, under the guidance of demand response, control of the heat storage link of (CHP, combined heat and power)can decouple the electric heat of rigid constraints and improve the ability to load capacity. As the optimization goal of minimum system coal consumption quantity, the optimization scheduling model is constructed including demand response, thermal storage of electro-thermal, and the example takes the particle swarm algorithm to optimize. The simulation results of the example show that the methods can effectively reduce the abandoned wind, as well as can reduce the coal consumption of the system.关键词
风电消纳/分时电价/储热/电热系统Key words
wind power accommodation/time-of-use electricity price/heat storage/electric heating system分类
信息技术与安全科学引用本文复制引用
黄培东,詹红霞,彭光斌,张曦,张宁,龙飞..促进风电消纳的需求响应与储热CHP联合优化模型[J].电测与仪表,2017,54(14):1-6,6.基金项目
四川省电力电子节能技术与装备重点实验室开发课题项目(SZJJ2016-047) （SZJJ2016-047）
