Techno-economic analysis and optimization of hybrid energy systems based on hydrogen storage for sustainable energy utilization by a biological-inspired optimization algorithm

Wang, Ruilian; Zhang, Rongxin

doi:10.1016/j.est.2023.107469

Cited by 78 publications

(9 citation statements)

References 47 publications

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“…In the current study, the Hybrid Golden Search Algorithm (HGSA) was used with varied highest allowable power supply reliability loss (

) values of 0.01, 0.02, and 0.03. The performance of HGSA was contrasted to other modern algorithms, including Fuzzy Logic and Optimization (Fuzzy-OP) [ 48 ], ABC optimization method [ 49 ], and the original GSA. The results of the different algorithms were evaluated and compared to determine their effectiveness in solving the optimization problem.…”

Section: Simulations and Resultsmentioning

confidence: 99%

“… Level/index of reliability Mean. ($) STD ($) Total Time (sec)

ABC [ 49 ] 34,269,700 3,236,280 321.32 Fuzzy-OP [ 48 ] 33,628,170 2,568,210 352.32 GSA 34,856,870 4,821,560 326.89 HGSA 32,896,240 2,289,240 369.75

ABC [ 49 ] 32,826,730 2,584,210 361.52 Fuzzy-OP [ 48 ] 34,583,850 2,454,940 392.47 GSA 35,369,740 5,462,420 316.89 HGSA 32560,740 2,538,520 421.87

ABC [ 49 ] 31,542,230 2,750,510 312.63 Fuzzy-OP [ 48 ] 31,134,250 2,376,110 398.25 GSA 33,567,730 5,354,420 341.75 HGSA 31,539,810 …”

Section: Simulations and Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of off-grid renewable energy systems using a hybrid version of golden search algorithm

Huang,

Gan,

Huang

et al. 2024

Heliyon

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“…In the current study, the Hybrid Golden Search Algorithm (HGSA) was used with varied highest allowable power supply reliability loss (

Section: Simulations and Resultsmentioning

confidence: 99%

“… Level/index of reliability Mean. ($) STD ($) Total Time (sec)

ABC [ 49 ] 34,269,700 3,236,280 321.32 Fuzzy-OP [ 48 ] 33,628,170 2,568,210 352.32 GSA 34,856,870 4,821,560 326.89 HGSA 32,896,240 2,289,240 369.75

ABC [ 49 ] 32,826,730 2,584,210 361.52 Fuzzy-OP [ 48 ] 34,583,850 2,454,940 392.47 GSA 35,369,740 5,462,420 316.89 HGSA 32560,740 2,538,520 421.87

ABC [ 49 ] 31,542,230 2,750,510 312.63 Fuzzy-OP [ 48 ] 31,134,250 2,376,110 398.25 GSA 33,567,730 5,354,420 341.75 HGSA 31,539,810 …”

Section: Simulations and Resultsmentioning

confidence: 99%

Optimization of off-grid renewable energy systems using a hybrid version of golden search algorithm

Huang,

Gan,

Huang

et al. 2024

Heliyon

View full text Add to dashboard Cite

“…The specific geographic location plays a pivotal role in shaping these factors. As a result, the evaluation of solar radiation conditions in a given area is typically carried out during the initial stages of effectively deploying PVRES panels 43 , 44 . This process involves gathering historical data to compute both the standard hourly solar radiation and daily temperature.…”

Section: Allocation Of Photovoltaic Renewable Energy Sources (Pvres) ...mentioning

confidence: 99%

A pareto strategy based on multi-objective optimal integration of distributed generation and compensation devices regarding weather and load fluctuations

Fettah,

Guia,

Salhi

et al. 2024

Sci Rep

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In this study, we present a comprehensive optimization framework employing the Multi-Objective Multi-Verse Optimization (MOMVO) algorithm for the optimal integration of Distributed Generations (DGs) and Capacitor Banks (CBs) into electrical distribution networks. Designed with the dual objectives of minimizing energy losses and voltage deviations, this framework significantly enhances the operational efficiency and reliability of the network. Rigorous simulations on the standard IEEE 33-bus and IEEE 69-bus test systems underscore the effectiveness of the MOMVO algorithm, demonstrating up to a 47% reduction in energy losses and up to a 55% improvement in voltage stability. Comparative analysis highlights MOMVO's superiority in terms of convergence speed and solution quality over leading algorithms such as the Multi-Objective Jellyfish Search (MOJS), Multi-Objective Flower Pollination Algorithm (MOFPA), and Multi-Objective Lichtenberg Algorithm (MOLA). The efficacy of the study is particularly evident in the identification of the best compromise solutions using MOMVO. For the IEEE 33 network, the application of MOMVO led to a significant 47.58% reduction in daily energy loss and enhanced voltage profile stability from 0.89 to 0.94 pu. Additionally, it realized a 36.97% decrease in the annual cost of energy losses, highlighting substantial economic benefits. For the larger IEEE 69 network, MOMVO achieved a remarkable 50.15% reduction in energy loss and improved voltage profiles from 0.89 to 0.93 pu, accompanied by a 47.59% reduction in the annual cost of energy losses. These results not only confirm the robustness of the MOMVO algorithm in optimizing technical and economic efficiencies but also underline the potential of advanced optimization techniques in facilitating the sustainable integration of renewable energy resources into existing power infrastructures. This research significantly contributes to the field of electrical distribution network optimization, paving the way for future advancements in renewable energy integration and optimization techniques for enhanced system efficiency, reliability, and sustainability.

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“…Furthermore, the development of a green hydrogen economy can stimulate economic growth, create new jobs, and attract investment in renewable energy technologies and infrastructure. Green hydrogen finds applications in various sectors including industrial processes like ammonia production, transportation through hydrogen fuel cells for zero-emission vehicles, energy storage for grid stability, power generation using fuel cells, heating and cooling systems in buildings and industries, synthetic fuels production for carbon-neutral transportation options, and even energy export from regions abundant in renewable resources to high-energy consumption areas, thereby contributing to global energy trade and security [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Feasibility Study and Economic Analysis of PV/Wind-Powered Hydrogen Production Plant

Sayed,

Khamies,

Abokhalil

et al. 2024

IEEE Access

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In Egypt, the production of power and the associated environmental problems are starting to take the stage. One environmentally responsible way to lessen the power crisis is to employ renewable energy sources effectively and efficiently. This paper proposes to develop a hydrogen energy storage-based green (or environmentally friendly) power plant on many Egyptian cities such as Sohag city. To produce green hydrogen, the proposed power station uses energy storage, solar, and wind power. Energy storage systems are used to store extra energy produced by wind turbines and solar panels and to supply energy when the output of renewable energy is low. An optimized design of the proposed power plant uses hydrogen energy to satisfy peak load requirements and reduce GHG (greenhouse gas) emissions. Electrolysis is the method used in the proposed solar/wind power plant to create hydrogen. Water can be split into hydrogen and oxygen via electrolysis, a process that uses electricity. Renewable energy sources can be used to power this procedure, ensuring that the hydrogen produced is "green" and does not contribute to greenhouse gas emissions. The design of the power plant incorporates advanced electrolysis technology, such as proton exchange membrane (PEM) electrolyzers, which are efficient and well-suited for integrating with renewable energy sources.INDEX TERMS Cost-effective; DC/AC microgrid; Green Hydrogen; PV/Wind; RES integration; Sustainable energy.

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Techno-economic analysis and optimization of hybrid energy systems based on hydrogen storage for sustainable energy utilization by a biological-inspired optimization algorithm

Cited by 78 publications

References 47 publications

Optimization of off-grid renewable energy systems using a hybrid version of golden search algorithm

Optimization of off-grid renewable energy systems using a hybrid version of golden search algorithm

A pareto strategy based on multi-objective optimal integration of distributed generation and compensation devices regarding weather and load fluctuations

Feasibility Study and Economic Analysis of PV/Wind-Powered Hydrogen Production Plant

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