A combined multi-objective intelligent optimization approach considering techno-economic and reliability factors for hybrid-renewable microgrid systems

Heydari, Azim; Nezhad, Meysam Majidi; Keynia, Farshid; Fekih, Afef; Shahsavari-Pour, Nasser; Garcia, Davide Astiaso; Piras, Giuseppe

doi:10.1016/j.jclepro.2022.135249

Cited by 39 publications

(7 citation statements)

References 68 publications

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“…Hydrogen has been considered as a potential energy carrier in the quest to discover new strategies or alter established ones to squeeze the most energy possible out of renewable energy resources. [ 40 ]…”

Section: Renewable Energy Sourcesmentioning

confidence: 99%

Recent Advances and Challenges of Hydrogen Production Technologies via Renewable Energy Sources

Worku,

Ayele,

Deepak

et al. 2024

Adv Energy and Sustain Res

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Currently, fossil fuels play a major role in meeting the world's energy demand. Fossil fuels, in contrast, threaten the planet's ecosystems and biological processes, contribute to global warming, and result in unfavorable climatic shifts. These energy sources are also finite and will eventually deplete. Thus, energy transition, which is the key from fossil fuels to renewable energy sources, is regarded as an essential course of action for decarbonizing the global economy and reducing the catastrophic and irreversible effects of climate change. Thereby using/consuming green hydrogen energy is a vital solution to meet the world's challenges. Subsequently, the pros and cons of several hydrogen generation methods, such as the conversion of fossil fuels, biomass, water electrolysis, microbial fermentation, and photocatalysis, are then compared and outlined in terms of their technologies, economies, consumption of energy, environmental aspects, and costs. Currently, the chemical industry uses green hydrogen (H2) primarily to produce green emerging fuels methanol and ammonia (NH3), which are regarded as alternate sources of energy. Finally, the current state of energy demands, recent developments in renewable energy sources, and the potential of hydrogen as a future fuel are outlined. Moreover, the discussion concludes with predicted opportunities and challenges.

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Section: Renewable Energy Sourcesmentioning

confidence: 99%

Recent Advances and Challenges of Hydrogen Production Technologies via Renewable Energy Sources

Worku,

Ayele,

Deepak

et al. 2024

Adv Energy and Sustain Res

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“…This approach is applied to a decentralized energy system, which integrates a diverse array of technologies, including photovoltaic and wind turbines, micro-gas turbines, fuel cells, grid power, electrolyzers, hydrogen storage, batteries, and inverters. In reference [31], an innovative optimization strategy is introduced for hybrid renewable energy systems within microgrids. This multi-objective optimization framework is specifically designed for a hybrid system comprising photovoltaic (PV), wind, diesel, and battery components.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Hybrid Renewable Energy Systems:Novel Models and Heuristic Algorithms

Hosseini,

Al-Ghaili,

Deveci

et al. 2024

Preprint

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In practical applications, real-world challenges ofteninvolve the integration of multiple renewable energy sources,including solar, wind, hydro, biomass, geothermal, and energystorage solutions like batteries. The primary objective ofthese integrated systems is to optimize energy production,enhance system reliability, and simultaneously minimize costssuch as those associated with fossil fuels and greenhouse gasemissions. Therefore, it is crucial to model these complexproblems as all objectives are covered. In this paper, wepropose multi-objective and multi-level mathematical modelsfor Hybrid Renewable Energy Systems (HRESs). These modelsallow us to simultaneously address various objectives andlevels of decision-making in the context of renewable energyintegration. Then, to effectively tackle these complex models,the paper introduces two efficient hybrid algorithms for bothmulti-level and multi-objective models. First algorithm is acombined smoothing approach to address multi-level problem.The algorithm uses Karush-Kuhn-Tucker (KKT) conditions,some mathematical principles and proofs, and a heuristicfunction to smooth the multi-level model. Finally, the algorithmemploys Taylor approximation to further refine the smoothedproblem. The second algorithm, focuses on multi-objective model,which involves two phases: first, a heuristic algorithm simplifiesobjective functions through interpolation; second, the populationis enhanced using the Laying Chicken Algorithm (LCA); and aneural network refines the best LCA generation to identify thePareto front in multi-objective problems.

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“…A novel technique for hybrid microgrid optimization and operation has been proposed in [12]. The core contribution of this work was to reduce the various costs related to hybrid microgrid system operation and, further, to maximize renewable resource utilization.…”

Section: Introductionmentioning

confidence: 99%

Design Optimization of a Grid-Tied Hybrid System for a Department at a University with a Dispatch Strategy-Based Assessment

Ishraque,

Rahman,

Shezan

et al. 2024

Sustainability

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In this research project, the optimal design and design evaluation of a hybrid microgrid based on solar photovoltaics, wind turbines, batteries, and diesel generators were performed. The conventional grid-tied mode was used in addition to dispatch strategy-based control. The study’s test location was the loads in the Electrical, Electronic and Communication Engineering (EECE) department at Pabna University of Science and Technology (PUST), Pabna, Bangladesh. DIgSILENT PowerFactory was employed to determine the power system-based behaviors (electrical power, current, voltage, and frequency) of the proposed hybrid system, while a derivative-free algorithm was used for the expense, optimal size, and emission assessments. While developing the microgrid, load following (LoF) and cycle charging (CyC) control were employed. The microgrid is supposed to have a 23.31 kW peak load requirement. The estimated microgrid’s levelized cost of energy (LE), its net present cost (NC), its operating cost, and its annual harmful gas emissions were estimated in this work. Additionally, since the microgrid is grid-connected, the amount of energy output that might be exported to the grid was also estimated, which will potentially increase during blackouts. The power system responses found in this study ensure that the various microgrid components’ voltage, frequency, current, and power outcomes are steady within the designated range, making the microgrid practical and robust.

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A combined multi-objective intelligent optimization approach considering techno-economic and reliability factors for hybrid-renewable microgrid systems

Cited by 39 publications

References 68 publications

Recent Advances and Challenges of Hydrogen Production Technologies via Renewable Energy Sources

Recent Advances and Challenges of Hydrogen Production Technologies via Renewable Energy Sources

Optimizing Hybrid Renewable Energy Systems:Novel Models and Heuristic Algorithms

Design Optimization of a Grid-Tied Hybrid System for a Department at a University with a Dispatch Strategy-Based Assessment

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