A two-layer game optimization strategy for an integrated energy system considering multiple responses and renewable energy uncertainty DOI
Hui Xiao,

Y.June Wu,

Linjun Zeng

et al.

Sustainable Energy Grids and Networks, Journal Year: 2024, Volume and Issue: unknown, P. 101605 - 101605

Published: Dec. 1, 2024

Language: Английский

Advanced Energy Management and Optimal Scheduling for Integrated Offshore Gas-Hydrogen-Electricity-Heat Systems DOI
Zhe Wang,

X. C. Mu,

Yuhao Ma

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135091 - 135091

Published: Feb. 1, 2025

Language: Английский

Citations

2
Low-carbon optimization scheduling for integrated energy system considering two-stage power-to-gas and carbon capture system DOI

Qunli Wu,

Yunfeng Chen,

Jiayi Bai

et al.

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

Published: Jan. 1, 2025

With the rapid growth of energy demand and increasing severity environmental pollution, low-carbon clean have become mainstream direction development. An integrated system (IES) is one effective ways to reduce pollution improve efficiency. Based on this, this paper proposes a coupled model that considers two-stage power-to-gas (P2G) carbon capture (CCS) extends it IES, including electricity, heat, gas. Then, optimization scheduling for IES based Stackelberg game established. In model, operator regarded as leader, user coalition follower. The leader optimizes selling price equipment outputs with goal maximizing profit, while follower consumption strategy minimizing purchased cost. genetic algorithm CPLEX solver are combined solve eight scenarios analyzed. results indicate proposed can fully tap potential response. addition, introduction P2G makes wind power absorption rate reach 99.31%, CO2 captured by CCS could be used synthesize natural gas, reducing emission.

Language: Английский

Citations

0
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
Interactive optimization of electric vehicles and park integrated energy system driven by low carbon: An incentive mechanism based on Stackelberg game DOI

Shaobo Shi,

Yuehui Ji,

Lewei Zhu

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134799 - 134799

Published: Feb. 1, 2025

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 multi-energy load forecasting method based on the Mixture-of-Experts model and dynamic multilevel attention mechanism DOI

Jinxue Hu,

Pengfei Duan, Xiaodong Cao

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135947 - 135947

Published: April 1, 2025

Language: Английский

Citations

0
A Stackelberg game model with cloud energy storage operators: A multi-user, multi-scenario analysis, adopting the time-based pricing strategy DOI

Ling-Ling Li,

Jie Pei,

Ming K. Lim

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 123, P. 116672 - 116672

Published: April 25, 2025

Language: Английский

Citations

0
Equilibrium Interaction Strategies for Integrated Energy System Incorporating Demand-Side Management Based on Stackelberg Game Approach DOI Creative Commons

Kangli Xiang,

Jinyu Chen,

Li Yang

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(14), P. 3603 - 3603

Published: July 22, 2024

This paper analyzes the balanced interaction strategy of an integrated energy system (IES) operator and industrial user in operation process IES under demand-side management (DSM) based on game theory. Firstly, we establish electric–thermal IES, which includes a power grid, heat grid natural gas grid. Secondly, two-stage Stackelberg dynamic model is proposed to describe behavior operators users participating DSM. The interactions between (leader) (follower) are formulated into one-leader–one-follower game, where optimization problems formed for each player help select optimal strategy. A pricing function adopted regulating time-of-use (TOU), acts as coordinator, inducing join game. Then, complex established, lower user-side constraint problem replaced by its KKT condition, so that hierarchical transformed single-stage mixed-integer nonlinear model, branch-and-bound method introduced solve it. Finally, equilibrium strategies income values both sides obtained through case simulation, curves different capacity configurations sensitivity analysis key parameters. USD 93.859, while park 92.720. simulation results show effective.

Language: Английский

Citations

1
Research on cooperative operation optimization method of internet data center alliance considering diversified flexibility DOI Creative Commons
Xiaoou Liu

International Journal of Electrical Power & Energy Systems, Journal Year: 2024, Volume and Issue: 162, P. 110223 - 110223

Published: Sept. 10, 2024

Language: Английский

Citations

1
Hierarchical game optimization of integrated energy systems with grid-forming energy storage: improved mountaineering team optimization algorithm DOI
Hui Chen,

Libin Yang,

Jian Gao

et al.

Journal of Industrial and Production Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 20

Published: Aug. 9, 2024

This study proposes a hierarchical game approach for grid-forming energy storage to participate in the operational optimization of integrated systems. Few studies are on systems with storage. The microgrid operator is upper-level leader, and user aggregator lower-level follower consider operation cost, power trading, demand-side management, voltage supportability. An improved mountaineering team-based (IMTBO) algorithm proposed based chaotic mapping dispersive search improve model effect. results showed that IMTBO can reduce deviation by 23.77% compared control case improves efficiency system distribution network, rationally optimizes allocation price system.

Language: Английский

Citations

0