Multi-objective optimization and the effect of the economic factors on the design of the microgrid hybrid system

Kharrich, Mohammed; Mohammed, Omar Hazem; Alshammari, Nahar; Akherraz, Mohamed

doi:10.1016/j.scs.2020.102646

Cited by 85 publications

(24 citation statements)

References 33 publications

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“…The Pareto envelope-based selection algorithm (PESA-II) uses the GA mechanism by applying hyper-grids to make the selections and create the next generation. The individuals-based selection in the first edition of PESA is replaced by the region-based selection in PESA-II for objective space [150]. This technique shows more sensitivity to ensure a good spread of development along the Paretofront.…”

Section: C32 Direct Aooroachmentioning

confidence: 99%

A Comprehensive Review of Control Strategies and Optimization Methods for Individual and Community Microgrids

et al. 2022

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Section: C32 Direct Aooroachmentioning

confidence: 99%

A Comprehensive Review of Control Strategies and Optimization Methods for Individual and Community Microgrids

et al. 2022

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“…SPEA2 (Sla et al, 2020;Cao et al, 2020;Mk et al, 2020;Biswas and Pal, 2020) and NSGA2 (Khammassi and Krichen, 2020;Che et al, 2021;Prakash et al, 2020;Zhang and Liu, 2020;Yeh, 2019), as classical multi-objective optimization algorithms, can be widely used in solving multi-objective optimization problems. For example, Literature Sla et al (2020) applies SPEA2 to solve multiobjective optimization of a continuous kraft pulp digester.…”

Section: Algorithmmentioning

confidence: 99%

Economic Dispatch Methods for Smart Grid Based on Improved SPEA2 and Improved NSGA2

Wang

2021

Front. Energy Res.

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The severity of the ongoing environmental crisis has prompted the development of renewable energy generation and smart grids integration. The access of enewable energy makes the economic dispatching of smart grid complicated. Therefore, the economic dispatching model for smart grid is very necessary. This paper presents an economic dispatching model of smart power grid, which considers both economy and pollution emission. The smart grid model used for the simulation is construced of wind energy, solar energy, fuel cell, and thermal power, and the use of fuel cell enables the smart grid to achieve multi-energy complementar. To overcome the defect of the traditional centralized communication methods, which are prone to communication jams, this paper adopts a multi-agent inform ation exchange method to improve the stability and efficiency. In terms of the solution method for this model, this paper proposes Improved Strength Pareto Evolutionary Algorithm 2(ISPEA2) and Improved Non-dominated Sorting Genetic Algorithm 2(INSGA2) that solves the economic dispatch problem of a smart grid. The strength Pareto evolutionary algorithm 2(SPEA2),non-dominated sorting genetic algorithm 2(NSGA2) and the improved algorithms are simultaneously applied to the proposed smart grid model for economic dispatching simulation. The simulation results show that ISPEA2 and INSGA2 are effective. ISPEA2 and INSGA2 have shown improvements over SPEA2 and NSGA2 in accuracy or running times.

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“…The project considered the technical and financial feasibility for Faial Island in the Azores archipelago. The PV/wind/battery/diesel HMG system is still the most adapted in the world for its power synergy, as well as the use of the battery and diesel as a back-up [14][15][16][17]. The authors of [14] proposed this HMG in Rabat.…”

Section: Introductionmentioning

confidence: 99%

“…The PV/wind/battery/diesel HMG system is still the most adapted in the world for its power synergy, as well as the use of the battery and diesel as a back-up [14][15][16][17]. The authors of [14] proposed this HMG in Rabat. The authors of [15] presented the same microgrid to feed a residential area in Kasuga City, Fukuoka, Japan.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of an Isolated Hybrid Microgrid for Enhanced Deployment of Renewable Energy Sources in Saudi Arabia

et al. 2021

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Hybrid microgrids are presented as a solution to many electrical energetic problems. These microgrids contain some renewable energy sources such as photovoltaic (PV), wind and biomass, or a hybrid of these sources, in addition to storage systems. Using these microgrids in electric power generation has many advantages such as clean energy, stability in supplying power, reduced grid congestion and a new investment field. Despite all these microgrids advantages, they are not widely used due to some economic aspects. These aspects are represented in the net present cost (NPC) and the levelized cost of energy (LCOE). To handle these economic aspects, the proper microgrids configuration according to the quantity, quality and availability of the sustainable source of energy in installing the microgrid as well as the optimal design of the microgrid components should be investigated. The objective of this paper is to design an economic microgrid system for the Yanbu region of Saudi Arabia. This design aims to select the best microgrid configuration while minimizing both NPC and LCOE considering some technical conditions, including loss of power supply probability and availability index. The optimization algorithm used is Giza Pyramids Construction (GPC). To prove the GPC algorithm’s effectiveness in solving the studied optimization problem, artificial electric field and grey wolf optimizer algorithms are used for comparison purposes. The obtained results demonstrate that the best configuration for the selected area is a PV/biomass hybrid microgrid with a minimum NPC and LCOE of $319,219 and $0.208/kWh, respectively.

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Multi-objective optimization and the effect of the economic factors on the design of the microgrid hybrid system

Cited by 85 publications

References 33 publications

A Comprehensive Review of Control Strategies and Optimization Methods for Individual and Community Microgrids

A Comprehensive Review of Control Strategies and Optimization Methods for Individual and Community Microgrids

Economic Dispatch Methods for Smart Grid Based on Improved SPEA2 and Improved NSGA2

Optimal Design of an Isolated Hybrid Microgrid for Enhanced Deployment of Renewable Energy Sources in Saudi Arabia

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