Optimal Control for Energy Dispatch of A Smart Grid Tied PV-Wind-Battery Hybrid Power System

被引：3
|
作者：
Azaroual, Meryeme [1 ]
Ouassaid, Mohammed [1 ]
Maaroufi, Mohamed [1 ]
机构：
[1] Mohammed V Univ, Engn Smart & Sustainable Syst Res Ctr, Mohammadia Sch Engineers, Rabat, Morocco
来源：
2019 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS 2019) | 2019年
关键词：
renewable energy; smart grid; demand side management; optimization; linear programming; genetic algorithm; OPTIMIZATION; MODEL;
D O I：
10.1109/icds47004.2019.8942362
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of this paper is to develop an optimal control (OC) for energy scheduling of a grid-connected photovoltaic (PV)-wind turbine (WT)-battery storage system. The objective of the model is to reduce the electricity cost and maximizing the sale of electricity to the grid. The time-of-use (TOU) electricity tariff is evaluated in the optimal control computation. Two optimization methods involving 'Linear Programming OW and 'Genetic algorithm (GA)' techniques are used to solve this problem. A case study is performed based on an industrial load and the simulation results demonstrate that the developed control reduces the operational cost of the studied system and the customers can receive an important income from the renewable energy sale. In addition, the simulation results demonstrate that using the LP based OC, a significant cost and energy savings can be attained when compared with using the GA.
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页数：7
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