Next Article in Journal
Improving Performance of Three-Phase Slim DC-Link Drives Utilizing Virtual Positive Impedance-Based Active Damping Control
Next Article in Special Issue
Reliability of Variable Speed Pumped-Storage Plant
Previous Article in Journal
Vector Control Strategy for Halbach Linear Motor Implemented in a Commercial Control Hardware
Previous Article in Special Issue
Synchronous Reference Frame Repetitive Control of a Single-Phase Three-Level Dual-Buck Photovoltaic Inverter
Open AccessFeature PaperArticle

Economical Evaluation and Optimal Energy Management of a Stand-Alone Hybrid Energy System Handling in Genetic Algorithm Strategies

1
Technical College of Mosul, Northern Technical University, Mosul 41002, Iraq
2
ISEN Yncréa Ouest Brest, Institut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), 29200 Brest, France
3
Institut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), University of Brest, 29238 Brest, France
4
Logistics Engineering College, Shanghai Maritime University, Shanghai 201306, China
*
Author to whom correspondence should be addressed.
Electronics 2018, 7(10), 233; https://doi.org/10.3390/electronics7100233
Received: 27 August 2018 / Revised: 19 September 2018 / Accepted: 1 October 2018 / Published: 4 October 2018
(This article belongs to the Special Issue Renewable Electric Energy Systems)
Hybrid renewable energy systems are a promising technology for clean and sustainable development. In this paper, an intelligent algorithm, based on a genetic algorithm (GA), was developed and used to optimize the energy management and design of wind/PV/tidal/ storage battery model for a stand-alone hybrid system located in Brittany, France. This proposed optimization focuses on the economic analysis to reduce the total cost of hybrid system model. It suggests supplying the load demand under different climate condition during a 25-years interval, for different possible cases and solutions respecting many constraints. The proposed GA-based optimization approach achieved results clear highlight its practicality and applicability to any hybrid power system model, including optimal energy management, cost constraint, and high reliability. View Full-Text
Keywords: hybrid energy system; genetic algorithm; energy management; optimization; economical cost; stand-alone system hybrid energy system; genetic algorithm; energy management; optimization; economical cost; stand-alone system
Show Figures

Figure 1

MDPI and ACS Style

Hazem Mohammed, O.; Amirat, Y.; Benbouzid, M. Economical Evaluation and Optimal Energy Management of a Stand-Alone Hybrid Energy System Handling in Genetic Algorithm Strategies. Electronics 2018, 7, 233. https://doi.org/10.3390/electronics7100233

AMA Style

Hazem Mohammed O, Amirat Y, Benbouzid M. Economical Evaluation and Optimal Energy Management of a Stand-Alone Hybrid Energy System Handling in Genetic Algorithm Strategies. Electronics. 2018; 7(10):233. https://doi.org/10.3390/electronics7100233

Chicago/Turabian Style

Hazem Mohammed, Omar; Amirat, Yassine; Benbouzid, Mohamed. 2018. "Economical Evaluation and Optimal Energy Management of a Stand-Alone Hybrid Energy System Handling in Genetic Algorithm Strategies" Electronics 7, no. 10: 233. https://doi.org/10.3390/electronics7100233

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop