电力系统及其自动化学报2019，Vol.31Issue(6)：98-106,9.DOI:10.19635/j.cnki.csu-epsa.000205
基于模型预测控制的智能楼宇暖通空调能量管理策略
Energy Management Strategy for Heating,Ventilation and Air Conditioning in Smart Building Based on Model Predictive Control
摘要
Abstract
An energy management strategy for the heating,ventilation and air conditioning in a smart building is pro?posed based on model predictive control(MPC). First,a dynamic energy consumption model of heating and cooling in the smart building is constructed using the transient energy balance equation to effectively characterize the heat convec?tion,conduction and storage features of the building’s enclosure structure in the heat transfer process. Then,an energy management strategy for the smart building is proposed based on MPC. In this way,the energy consumption of the smart building can be minimized with the combination of MPC and short-term control while ensuring the user’s temperature comfort level. Simulation results show that the proposed energy management strategy is not only helpful in reducing the cost of energy consumption but also can effectively improve the absorption capacity of renewable energies on the build?ing side.关键词
智能楼宇/模型预测/能量管理/用能成本Key words
smart building/model predictive control(MPC)/energy management/cost of energy consumption引用本文复制引用
王旭东,吴莉萍,戚艳,丁一,戚冯宇,杜丽佳..基于模型预测控制的智能楼宇暖通空调能量管理策略[J].电力系统及其自动化学报,2019,31(6):98-106,9.基金项目
国家电网公司科技资助项目(521532160015) （521532160015）
