Robust Multi-objective Optimization of a Photovoltaic System with Grid Connection

被引:0
作者
Meunier, Jean [1 ,2 ]
Knittel, Dominique [1 ]
机构
[1] Univ Strasbourg, Fac Phys & Engn, Strasbourg, France
[2] INSA Strasbourg, LGeCo, Strasbourg, France
来源
2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI) | 2017年
关键词
Multi-objective optimization; Photovoltaic system; Battery control; Energy management; Evolutionary algorithms; ENERGY-STORAGE; MANAGEMENT;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Photovoltaic panels are a way of providing electricity without altering natural resources. Due to its intermittent nature and to meet consumers demand, this energy has to be stored, for example by using batteries. In this work, an energy model for buildings with battery is developed based on electrical consumption and production data. This model takes into account the depth of discharge, state of charge and efficiency over a cycle of a lithium type battery. Three rule-based strategies are then described. This leads to our optimization problem. The optimization is applied on two time slots: one day (for different algorithm strategies) and one week. Robust multi-objective optimization is performed in order to reduce the impact of consumption prediction errors.
引用
收藏
页码:1406 / 1412
页数:7
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