Net zero carbon rural integrated energy system design optimization based on the energy demand in temporal and spatial dimensions DOI
Anjun Zhao,

Yang Jiao,

Quan Wei

et al.

Renewable Energy, Journal Year: 2023, Volume and Issue: 222, P. 119818 - 119818

Published: Dec. 20, 2023

Language: Английский

A three-layer game theoretic-based strategy for optimal scheduling of microgrids by leveraging a dynamic demand response program designer to unlock the potential of smart buildings and electric vehicle fleets DOI Creative Commons
Seyed Amir Mansouri, Ángel Paredes, José Manuel González

et al.

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

101

Multi-objective optimization study of regional integrated energy systems coupled with renewable energy, energy storage, and inter-station energy sharing DOI
Jiandong Jia,

Haiqiao Li,

Di Wu

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 225, P. 120328 - 120328

Published: March 12, 2024

Language: Английский

Citations

34

Integrating electric vehicles into hybrid microgrids: A stochastic approach to future-ready renewable energy solutions and management DOI
Aykut Fatih Güven

Energy, Journal Year: 2024, Volume and Issue: 303, P. 131968 - 131968

Published: June 7, 2024

Language: Английский

Citations

27

Integrating artificial intelligence in energy transition: A comprehensive review DOI Creative Commons
Qiang Wang,

Yuanfan Li,

Rongrong Li

et al.

Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 57, P. 101600 - 101600

Published: Jan. 1, 2025

Language: Английский

Citations

24

Two stage Stochastic Energy Scheduling for Multi Energy Rural Microgrids With Irrigation Systems and Biomass Fermentation DOI Creative Commons
W. D. Li, Yunyang Zou, Hongming Yang

et al.

IEEE Transactions on Smart Grid, Journal Year: 2024, Volume and Issue: 16(2), P. 1075 - 1087

Published: Oct. 18, 2024

Language: Английский

Citations

19

Optimal sizing and energy management of a microgrid: A joint MILP approach for minimization of energy cost and carbon emission DOI Creative Commons
Fadi Agha Kassab, Berk Celik, Fabrice Locment

et al.

Renewable 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

16

Simultaneous optimal site selection and sizing of a grid-independent hybrid wind/hydrogen system using a hybrid optimization method based on ELECTRE: A case study in Iran DOI

Seyed Mohammad Seyed Alavi,

Akbar Maleki,

Afsaneh Noroozian

et al.

International Journal of Hydrogen Energy, Journal Year: 2023, Volume and Issue: 55, P. 970 - 983

Published: Nov. 30, 2023

Language: Английский

Citations

23

Optimal Design of a Grid-Independent Solar-Fuel Cell-Biomass Energy System Using an Enhanced Salp Swarm Algorithm Considering Rule-Based Energy Management Strategy DOI Creative Commons
Babangida Modu, Md Pauzi Abdullah, Abdulrahman AlKassem

et al.

IEEE 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

15

Energy management of hybrid fuel cell and renewable energy based systems - A review DOI
Omid Sadeghian, Amin Mohammadpour Shotorbani, Saeid Ghassem Zadeh

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: unknown

Published: April 1, 2024

Language: Английский

Citations

15

Optimising microgrid energy management: Leveraging flexible storage systems and full integration of renewable energy sources DOI
César Álvarez-Arroyo, Salvatore Vergine, Agustín A. Sánchez de la Nieta

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 229, P. 120701 - 120701

Published: May 24, 2024

Language: Английский

Citations

15