Renewable Energy, Journal Year: 2023, Volume and Issue: 222, P. 119818 - 119818
Published: Dec. 20, 2023
Language: Английский
Renewable Energy, Journal Year: 2023, Volume and Issue: 222, P. 119818 - 119818
Published: Dec. 20, 2023
Language: Английский
Applied Energy, Journal Year: 2023, Volume and Issue: 347, P. 121440 - 121440
Published: June 26, 2023
The proliferation of the number Smart Buildings (SBs) and fleet Electric Vehicles (EVs) in Distribution Systems (DSs) makes need for new strategies to coordinate them with microgrid (MG) scheduling inevitable. Therefore, this article proposes a three-layer risk-averse game theoretic-based strategy SBs EV fleets MGs scheduling. In first layer strategy, Demand Response Program (DRP) is designed where dynamic incentive tariffs are calculated based on consumption pattern subscribers. Then, second layer, done decentralized space considering their participation DRP. Eventually, third operators have received power exchange information order carry out accordance it. Day-Ahead (DA) DS through implementation cooperative theory. Fluctuations uncertain operational parameters such as load demand, radiation wind embedded model by scenario-based technique Risk-Averse (RA) adopted manage them. Running proposed 69-node containing four showed that can use potential improve voltage characteristics high-demand period reduce total daily costs 13.66% designing dynamic-tariff Moreover, results reveal using Peer-to-Peer (P2P) option not only reduced losses system but also about 8%.
Language: Английский
Citations
101Renewable Energy, Journal Year: 2024, Volume and Issue: 225, P. 120328 - 120328
Published: March 12, 2024
Language: Английский
Citations
34Energy, Journal Year: 2024, Volume and Issue: 303, P. 131968 - 131968
Published: June 7, 2024
Language: Английский
Citations
27Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 57, P. 101600 - 101600
Published: Jan. 1, 2025
Language: Английский
Citations
24IEEE Transactions on Smart Grid, Journal Year: 2024, Volume and Issue: 16(2), P. 1075 - 1087
Published: Oct. 18, 2024
Language: Английский
Citations
19Renewable Energy, Journal Year: 2024, Volume and Issue: 224, P. 120186 - 120186
Published: Feb. 22, 2024
The optimal design and operation of microgrids involves complex trade-offs between technical, economic, environmental factors. This research addresses these challenges by proposing a comprehensive approach that combines the sizing energy management problems microgrid into single decision-making framework. study introduces joint multi-objective mixed-integer linear programming algorithm minimizes levelized cost (LCOE) life cycle emissions (LCE) formed photovoltaic system, battery storage, with/without grid connections. By considering 25-year project lifetime horizon hourly management, ensures an solution accounts for long-term planning real-time operation. conducts analysis French electricity as case where Pareto-front is created using trade-off constraint approach. Furthermore, impact peak shaving assessed on various subscription power to utility grid. Lastly, examines sources in grid, revealing insights mix's implications design. results showed LCOE LCE can vary up 28% 17%, respectively, while local renewable utilization be increased 54% limiting at 36 kVA.
Language: Английский
Citations
16International Journal of Hydrogen Energy, Journal Year: 2023, Volume and Issue: 55, P. 970 - 983
Published: Nov. 30, 2023
Language: Английский
Citations
23IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 23914 - 23929
Published: Jan. 1, 2024
This paper presented an optimal design of a grid-independent hybrid renewable energy system (HRES) that comprises Photovoltaic, Biomass, Hydrogen Fuel Cell, and battery storage. Renewable energy-based have been endorsed for remote off-grid communities electrification. However, it is difficult to due the stochastic resource nature, load variation, high cost components. The sizing components proposed HRES determined through application innovative metaheuristic optimization technique called salp swarm algorithm (SSA). Addressing limitations algorithm, which include low precision, dimension convergence rate, modified version (SSA), known as Levy sine cosine operator-based (LSC-SSA), was introduced. compared with standard SSA Genetic Algorithm (GA). primary goal research reduce annualized system, whilst taking into account reliability constraint. novelty this lies in its approach enhance performance by optimizing size management strategy (EMS). It achieved employing combined framework integrate LSC-SSA supervisory EMS. potential benefits reducing cost. comparative results validate surpasses SSA, GA algorithms examined, realizing significant reductions amounting $82,023, $202,127 respectively. Additionally, outcome indicates that, offers least (COE) $0.927/kWh, comparison COE values $0.931/kWh $0.949/kWh GA, are higher. Furthermore, indicate applied EMS has effectively assisted establishing eco-friendly economical system.
Language: Английский
Citations
15International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: unknown
Published: April 1, 2024
Language: Английский
Citations
15Renewable Energy, Journal Year: 2024, Volume and Issue: 229, P. 120701 - 120701
Published: May 24, 2024
Language: Английский
Citations
15