Power Management Strategy Based on Weather Prediction for Hybrid Stand-alone System

被引:8
|
作者
Dahmane, Menad [1 ]
Bosche, Jerome [1 ]
El-Hajjaji, Ahmed [1 ]
机构
[1] Lab MIS, 33 Rue St Leu, F-80039 Amiens, France
关键词
Power Management; Renewable Energy; Prediction; ANFIS; FUZZY INFERENCE SYSTEM; WIND-SPEED PREDICTION; ENERGY MANAGEMENT; FUEL-CELL; GENERATION; MODEL; BATTERY; ANFIS;
D O I
10.1016/j.egypro.2015.12.187
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents an intelligent strategy for optimal power management of stand-alone hybrid system. The designed management strategy aims at regulating the power flow between the generated and the consumed powers of a wind/solar/battery stand-alone system in order to satisfy the load (one family house). The chosen strategy considers the wind generator (WG) and the photovoltaic panel (PV) as the main energy sources and the battery bank (BS) as storage system. For the power source emergency, it uses the diesel engine (DE) as an additional source. Indeed, the optimal management strategy consists of generating power references for each subsystem. Based on the prediction of weather conditions, these power references are generated with taking into account some constraints related to the reliability of each subsystem. In order to validate the proposed strategy under real situations, measurements of the weather conditions and the power consumption data of an individual house are considered. The simulation results are highlighted to demonstrate the feasibility of our approach. (C) 2015 Published by Elsevier Ltd.
引用
收藏
页码:330 / 340
页数:11
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