微电网
储能
计算机科学
能源管理
时间范围
数学优化
整数规划
可再生能源
能源管理系统
最优控制
线性规划
阶段(地层学)
控制(管理)
能量(信号处理)
网格
模型预测控制
汽车工程
工程类
电气工程
算法
数学
功率(物理)
人工智能
几何学
量子力学
古生物学
物理
统计
生物
作者
Mahmoud Elkazaz,Mark Sumner,Seksak Pholboon,David Thomas
标识
DOI:10.1109/icrera.2018.8566761
摘要
In this paper, a new Energy Management (EM) strategy is proposed which uses a two-stage rolling horizon (RH) technique to control a battery energy storage system (BESS). The objectives of the control are to increase the self-consumption of the renewable energy resources (RES) and minimize the daily cost of the energy drawn from the main electrical grid. Mixed integer linear programming (MILP) optimization is used as a part of the RH technique to obtain the optimal control settings for the BESS. Using the RH technique and processing the control signals with two different time periods gives more optimal BESS settings which can overcome the errors associated with load prediction and operational constraints. Simulation results demonstrate that the proposed strategy can benefit MG customers and satisfy different market conditions.
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