Low-carbon economy configuration strategy of electro-thermal hybrid shared energy storage in multiple multi-energy microgrids considering power to gas and carbon capture system

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 428, P. 139366 - 139366

Published: Oct. 17, 2023

Language: Английский

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A Novel MOWSO algorithm for Microgrid multi-objective optimal dispatch

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 232, P. 110374 - 110374

Published: April 8, 2024

Language: Английский

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Optimal design of solar/wind/energy storage system-powered RO desalination unit: Single and multi-objective optimization

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 315, P. 118768 - 118768

Published: July 5, 2024

Language: Английский

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A hierarchical co-optimal planning framework for microgrid considering hydrogen energy storage and demand-side flexibilities

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 84, P. 110940 - 110940

Published: Feb. 21, 2024

Language: Английский

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Bi-level real-time pricing model in multitype electricity users for welfare equilibrium: A reinforcement learning approach

Journal of Renewable and Sustainable Energy, Journal Year: 2025, Volume and Issue: 17(1)

Published: Jan. 1, 2025

The diverse load profile formation and utility preferences of multitype electricity users challenge real-time pricing (RTP) welfare equilibrium. This paper designs an RTP strategy for smart grids. On the demand side, it constructs functions reflecting user characteristics uses multi-agents different interests. Considering industrial users, small-scale microgrids, distributed generation, battery energy storage systems are included. Based on supply interest, a online multi-agent reinforcement learning (RL) algorithm is proposed. A bi-level stochastic model in Markov decision process framework optimizes strategy. Through information exchange, adaptive scheme balances interest achieves optimal strategies. Simulation results confirm effectiveness proposed method peak shaving valley filling. Three fluctuation scenarios compared, showing algorithm's adaptability. findings reveal potential RL-based resource allocation benefits Innovations modeling, construction, application have theoretical practical significance market research.

Language: Английский

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Stochastic optimal design of a rural microgrid with hybrid storage system including hydrogen and electric cars using vehicle-to-grid technology

Journal of Energy Storage, Journal Year: 2023, Volume and Issue: 75, P. 109747 - 109747

Published: Nov. 16, 2023

Language: Английский

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The dynamic economic emission dispatch of the combined heat and power system integrated with a wind farm and a photovoltaic plant

Applied Energy, Journal Year: 2023, Volume and Issue: 351, P. 121890 - 121890

Published: Sept. 12, 2023

Language: Английский

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A multi-objective energy scheduling of the reconfigurable off-grid microgrid with electric vehicles using demand response program

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 117, P. 109275 - 109275

Published: May 8, 2024

Language: Английский

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Challenges and potential solutions for the global optimization of "Offshore Wind Energy — Multi-Marine Resources" integration system in the Beibu Gulf of Guangxi

Deleted Journal, Journal Year: 2025, Volume and Issue: 2(1), P. 100073 - 100073

Published: Jan. 1, 2025

<p>The development of a national energy base and modern system in the Beibu Gulf Guangxi requires an innovative system. General only consists single marine resource, this work introduces "Offshore Wind Energy—Multi-Marine Resources" integration system, which distinctively centers on offshore wind power while incorporating seawater hydrogen production, pumped storage, desalination, aquaculture, other resource utilization complexes. Its potential challenges during its future construction solutions for global optimization that need to be addressed are as follows: 1) creating high-precision speed prediction model across multiple scales; 2) developing under uncertainties; 3) proposing resilience assessment method systems subjected unconventional external shocks. This can contribute comprehensive resources establishment Province around world.</p>

Language: Английский

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Day-Ahead Scheduling of Multi-Energy Microgrids Based on a Stochastic Multi-Objective Optimization Model

Energies, Journal Year: 2023, Volume and Issue: 16(4), P. 1802 - 1802

Published: Feb. 11, 2023

Dealing with multi-objective problems has several interesting benefits, one of which is that it supplies the decision-maker complete information regarding Pareto front, as well a clear overview various trade-offs are involved in problem. The selection such representative set is, and itself, problem must take into consideration number choices to show uniformity representation and/or coverage order ensure quality solution. In this study, day-ahead scheduling been transformed optimization due inclusion objectives, operating cost multi-energy multi-microgrids (MMGs) profit Distribution Company (DISCO). purpose proposed system determine best operation combined heat power (CHP) unit, gas boiler, energy storage, demand response program, transaction electricity natural (NG). Electricity traded by MGs DISCO at prices dynamic fixed, respectively. Through scenario generation probability density functions, uncertainties wind speed, solar irradiation, electrical, demands have considered. By using mixed-integer linear programming (MILP) for reduction, high generated scenarios significantly reduced. ɛ-constraint approach was used solved nonlinear (MINLP) obtain solution meets needs both these objective functions.

Language: Английский

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