华东理工大学学报（自然科学版）2017，Vol.43Issue(4)：516-524,9.DOI:10.14135/j.cnki.1006-3080.2017.04.010
基于预测控制的冷、热、电联产型微电网能量管理
Energy Management of Combined Cooling,Heating and Power Micro-grid Based on Model Predictive Control
摘要
Abstract
Due to renewable energy output characteristics and system operational constraints,the improvement on the consumption of renewable energy has been a hot issue recently.By introducing the electric boiler,absorption refrigerator and electric compress chiller into the combined cooling,heating and power (CCHP) micro-grid for increasing the consumption of renewable energy and supply part of heating and cooling loads,this paper proposes a model predictive control energy management method,in which a model of CCHP micro-grid satisfying the actual operation constraints is established and the operational characteristics of each unit in the micro-grid are considered.In an intentional island mode,we establish the optimization objective function of energy management by considering the expected capacity value of energy storage devices and operating characteristics of each unit.And then,a finite-horizon optimization problem with logic variables is established by using receding horizon optimization strategy of model predictive control and the forecast result of renewable energy and load power.Finally,simulation results show that the introduction of electric boiler,absorption refrigerator and electric compress chiller can effectively improve the consumption of renewable energy,reduce the consumption of fuel and decrease the operation costs.Besides,the receding horizon optimization strategy can eliminate the effect of the intermittent output of renewable energy and fluctuation of load demand.关键词
微电网/可再生能源/冷、热、电联产/预测控制Key words
micro-grid/renewable energy/combined cooling/heating and power/predictive control分类
信息技术与安全科学引用本文复制引用
李先超,邹媛媛,牛玉刚,贾廷纲..基于预测控制的冷、热、电联产型微电网能量管理[J].华东理工大学学报（自然科学版）,2017,43(4):516-524,9.基金项目
国家自然科学基金(61374107,61673174) （61374107,61673174）
国家科技支撑计划(2015BAF10B00) （2015BAF10B00）
