Power flow optimization in a microgrid with two kinds of energy storage

作     者：Rigo-Mariani, R. Roccuzzo, V. Sareni, B. Repetto, M. Robaum, X. 

作者机构：Univ Toulouse LAPLACE UMR CNRS INPT UPS Site ENSEEIHT Toulouse France Politecn Torino Dipartimento Energia Turin Italy 

出 版 物：《COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING》 (国际电气与电子工程计算与数学杂志)

年 卷 期：2016年第35卷第3期

页      面：860-870页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Battery ageing Mixed integer linear programming Niching evolutionary algorithms Power flow optimization Smart grid 

摘      要：Purpose - The purpose of this paper is to present the optimization of the power flows inside a microgrid with renewable sources and two kinds of storage. The considered microgrid consists in commercial buildings with maximum daily peak value of 50 kW, photovoltaic arrays with total capacity of 175 kW, a 50 kW/50 kWh high speed flywheel storage and a 50 kW/50 kWh set of Li-ion accumulators. Design/methodology/approach - The power flows in the microgrid are optimized the day ahead at one hour discretization in order to minimize the electric bill. Several scheduling strategies are proposed for solving the corresponding optimization problem including standard deterministic methods, stochastic algorithms and hybrid heuristics. Findings - All scheduling strategies investigated in the paper are compared with regard to their accuracy and computational time. Originality/value - Beyond the comparison of different algorithms devoted to the power flow optimization problem, the authors approach also addresses the integration of battery ageing in the scheduling strategy.