Bi-level optimal scheduling of integrated energy systems considering incentive-based demand response and green certificate-carbon trading mechanisms DOI

Haipeng Chen,

Hao Wu, Haolin Li

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 13, P. 330 - 344

Published: Dec. 12, 2024

Language: Английский

Bi-level optimization and Stackelberg game in multi-integrated energy systems DOI
She-Sheng Xue, Yingchun Wang, Yang Liu

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 111, P. 115356 - 115356

Published: Jan. 15, 2025

Citations

0
Cooperative Game Enabled Low-Carbon Energy Dispatching of Multi-Regional Integrated Energy Systems Considering Carbon Market DOI Creative Commons

Peiran Liang,

Honghang Zhang,

Rui Liang

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(4), P. 759 - 759

Published: Feb. 7, 2025

With the growing global environmental concerns and push for carbon neutrality, rural multi-regional integrated energy systems (IESs) face challenges related to low efficiency, high emissions, transition cleaner sources. This paper proposes a cooperative game-based low-carbon economic dispatch strategy IESs, integrating trading mechanisms. A novel IESs architecture is developed exploit synergy between photovoltaic (PV) biomass systems. The proposed model described anaerobic fermentation heat loads, incorporates variable-temperature fermentation, employs Nash bargaining solved via Alternating Direction Method of Multipliers (ADMM) optimize cooperation while preserving stakeholder privacy. Simulation results show that reduces total operating costs by 16.9% emissions 7.5%, validating its effectiveness in enhancing efficiency sustainability

Language: Английский

Citations

0
Game Theory and Robust Predictive Control for Peer-to-Peer Energy Management: A Pathway to a Low-Carbon Economy DOI Open Access
Felix M. Gonzalez, Paúl Arévalo, Luis Ramírez

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 1780 - 1780

Published: Feb. 20, 2025

The shift towards decentralized energy systems demands innovative strategies to manage renewable integration, optimize resource allocation, and ensure grid stability. This review investigates the application of game theory robust predictive control as essential tools for peer-to-peer management. Game facilitates strategic decision-making cooperation among prosumers, distributors, consumers, enabling efficient trading dynamic distribution. Robust complements this by addressing uncertainties in generation demand, ensuring system stability through adaptive real-time optimization. By examining recent advancements, study highlights key methodologies, challenges, emerging technologies such blockchain, artificial intelligence, digital twins, which enhance these approaches. also explores their alignment with global sustainability objectives, emphasizing role promoting affordable clean energy, reducing emissions, fostering resilient urban infrastructures. A systematic methodology was employed, analyzing 153 selected articles published last five years, filtered from an initial dataset over 200 results retrieved ScienceDirect IEEE Xplore. Practical insights future directions are provided guide implementation methodologies networks.

Language: Английский

Citations

0
A Decarbonization-Oriented and Uncertainty-Aware Energy Management Strategy for Multi-District Integrated Energy Systems with Fair Peer-to-Peer Trading DOI
Tianyu Wu,

Fengwu Han,

Yunlong Zhao

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135885 - 135885

Published: March 1, 2025

Language: Английский

Citations

0
Techno-economic feasible region of electrochemical energy storage participating in the day-ahead electricity market trading DOI
Jie Yan,

Dexin Tan,

Yamin Yan

et al.

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 134294 - 134294

Published: Dec. 1, 2024

Language: Английский

Citations

1
Distributed Dispatch and Profit Allocation for Parks Using Co-Operative Game Theory and the Generalized Nash Bargaining Approach DOI Creative Commons
Hanwen Wang, Xiang Li,

Haojun Hu

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 6143 - 6143

Published: Dec. 5, 2024

To improve the regulatory capacity of distributed resources within park and enhance flexibility market transactions, this paper introduces a dispatch profit allocation method grounded in cooperative game theory generalized Nash bargaining framework. Initially, models for individual equipment are established. Subsequently, model is constructed, followed by development strategy based on contribution levels, using method. The solved alternating direction multipliers. results show that proposed approach achieves fast convergence, optimizes resource sharing mutual support park, lowers operational costs, ensures fairer distribution profits, promotes increased cooperation among entities.

Language: Английский

Citations

0
Bi-level optimal scheduling of integrated energy systems considering incentive-based demand response and green certificate-carbon trading mechanisms DOI

Haipeng Chen,

Hao Wu, Haolin Li

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 13, P. 330 - 344

Published: Dec. 12, 2024

Language: Английский

Citations

0