摘要
为提高新能源消纳能力,减少微电网群运行成本,设计考虑蓄电池健康的微电网群模型预测控制(MPC)能量管理策略。通过模拟蓄电池2种充电模式,将微电网群数学模型和约束方程表述为混合整数线性规划(MILP)优化问题,并与MPC框架相结合,在满足约束条件的基础上对优化问题进行在线求解。考虑到微电网能量管理以日前调度为主,提出变时域MPC寻优策略,进一步减小额外的寻优计算量。基于硬件在环实验平台对所提策略进行验证,结果表明,该策略可最大限度利用新能源,减少微电网群购电成本,实时性好,恒压充电模式可有效保护蓄电池健康。
In order to improve the new energy accommodation ability and reduce the operation cost of microgird cluster,an energy management strategy based on MPC(Model Predictive Control) of microgrid cluster is proposed with the consideration of battery health. Two charging modes of battery are simulated,and the mathematic model of microgrid cluster and constraint formulation are expressed as MILP(Mixed Integer Linear Programming) optimization pro-blem,and combined with MPC framework,the optimization problem is solved online with the satisfaction of constraints. Since the energy management of microgrid is mainly based on day-ahead scheduling,a varying time-domain MPC optimization strategy is proposed to further reduce the extra calculation amount. The proposed strategy is verified based on the hardware-in-the-loop experimental platform,and results show that the proposed strategy can maximize the use of new energy,reduce the power purchase cost of microgrid cluster,and has good real-time performance. Constant voltage charging mode can effectively protect the battery health.
作者
孟洪民
刘迪
李强
邱镇
黄晓光
邢小文
MENG Hongmin;LIU Di;LI Qiang;QIU Zhen;HUANG Xiaoguang;XING Xiaowen(State Grid Information and Telecommunication Group Co.,Ltd.,Beijing 102211 ,China;Department of Electrical Engineering,North Western Polytechnical University,Xi'an 710100,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2019年第6期88-95,共8页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(U1766204)~~
关键词
微电网群
能量管理
混合整数线性规划
变时域模型预测控制
硬件在环
蓄电池健康
microgrid cluster
energy management
mixed integer linear programming
varying time-domain model predictive control
hardware-in-the-loop
battery health
