电力系统自动化2017，Vol.41Issue(15)：42-50,9.DOI:10.7500/AEPS20160926007
基于空调自适应修正模型的户用微电网能量优化
Energy Optimization of Household Microgrid Based on Adaptive Adjustment Model of Air Conditioning
摘要
Abstract
As the major load of residential electricity system,air conditioning has been of great significance for the energy management of household microgrid because of its thermal storage ability.With air conditioning load as the focal point and an eye to other controllable loads and energy storage system,an energy management strategy considering the adaptive adjustment model of air conditioning is proposed.In view of the difficulty in obtaining coefficients of performance of air conditioning and the parameters of the building,it is proposed to use the historical data on air conditioning operation in current scenario to obtain more accurate fitting method using the genetic algorithm to get more accurate parameters.Besides,the human activity and the effect of other loads may lead to the indoor temperature deviate from the reference temperature.Thus a Q-learning algorithm is proposed to adjust the set temperature of air conditioning online to improve the accuracy of energy management.Finally,the cases in point verify the correctness and effectiveness of the proposed household energy management strategy.关键词
户用微电网/空调负荷/自适应调整/能量管理Key words
household microgrid/air conditioning load/adaptive adjustment/energy management引用本文复制引用
窦晓波,孙帅,陆斌,吴在军,刘晶,袁晓冬..基于空调自适应修正模型的户用微电网能量优化[J].电力系统自动化,2017,41(15):42-50,9.基金项目
江苏省科技计划项目(BE2015012-1) （BE2015012-1）
国家电网公司科技项目(SGTYHT/14-JS-188) （SGTYHT/14-JS-188）
江苏省普通高校研究生科研创新计划项目(SJLX15_0050).This work is supported by Science and Technology Program of Jiangsu Province (No.BE2015012-1),State Grid Corporation of China (No.SGTYHT/14-JS-188) and Graduate Student Research and Innovation Program of Jiangsu Province (No.SJLX15_0050). （SJLX15_0050）
