Multi-objective multi-verse optimization of renewable energy sources-based micro-grid system: Real case
Ashraf Mohamed Hemeida,Ahmed Shaban Omer,Ayman M. Bahaa-Eldin,Salem Alkhalaf,Mahrous Ahmed,Tomnobu Senjyu,Gaber El-Saady +6 more
TLDR
In this paper, a hybrid micro-grid renewable energy system including photovoltaic system, (PV) wind energy system, battery bank, (BB) and conventional diesel generator are proposed to meet the energy requirements in remote area, located in Red Sea called city of Bernice, Egypt, at 23°54′31″N, 35°28′21″E.About:
This article is published in Ain Shams Engineering Journal.The article was published on 2021-07-14 and is currently open access. It has received 34 citations till now. The article focuses on the topics: Renewable energy & Diesel generator.read more
Citations
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Intelligent and Optimized Microgrids for Future Supply Power from Renewable Energy Resources: A Review
Mohammadali Kiehbadroudinezhad,Adel Merabet,Ahmed G. Abo-Khalil,Tareq Salameh,Chaouki Ghenai +4 more
TL;DR: In this article , the authors reviewed the latest and most efficient techniques used to optimize green microgrids from an economical and reliable perspective to achieve a clean, economical, and highly reliable microgrid.
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The Hybrid Harris Hawks Optimizer-Arithmetic Optimization Algorithm: A New Hybrid Algorithm for Sizing Optimization and Design of Microgrids
TL;DR: In this paper , a hybrid metaheuristic algorithm, the hybrid Harris Hawks Optimizer-Arithmetic Optimization Algorithm (hHHO-AOA), is proposed for sizing optimization and design of autonomous microgrids.
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The Hybrid Harris Hawks Optimizer-Arithmetic Optimization Algorithm: A New Hybrid Algorithm for Sizing Optimization and Design of Microgrids
TL;DR: In this article , a hybrid metaheuristic algorithm, the hybrid Harris Hawks Optimizer-Arithmetic Optimization Algorithm (hHHO-AOA), is proposed for sizing optimization and design of autonomous microgrids.
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A Multi-Objective Fuzzy Optimization Model for Electricity Generation and Consumption Management in a Micro Smart Grid
TL;DR: In this article , the authors proposed an intelligent supply and demand management system in a complete network of electricity production and consumption, where different types of intelligent fuzzy controllers for distributed management were proposed and optimized via the non-dominated sorting genetic algorithm-II (NSGAII), which is a multi-objective optimization method.
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Implementation of various control methods for the efficient energy management in hybrid microgrid system
TL;DR: In this article , the authors presented an overview of energy management and control of the hybrid microgrid by proposing the implementation of the most cited control methods such as artificial neural network, fuzzy logic, sliding mode controller, and proportional integral derivative.
References
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Optimal sizing method for stand-alone hybrid solar–wind system with lpsp technology by using genetic algorithm
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Review of software tools for hybrid renewable energy systems
TL;DR: The main objective of the paper is to provide the current status of these softwares to provide basic insight for a researcher to identify and utilize suitable tool for research and development studies of hybrid systems.
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Simulation and optimization of stand-alone hybrid renewable energy systems
TL;DR: In this article, the simulation and optimization techniques, as well as the tools existing that are needed to simulate and design stand-alone hybrid renewable energy systems for the generation of electricity are discussed.