A communication-efficient coalition graph game-based framework for electricity and carbon trading in networked energy hubs

Zhong, Xiaoqing; Zhong, Weifeng; Liu, Yi; Yang, Chao; Xie, Shengli

doi:10.1016/j.apenergy.2022.120221

Cited by 25 publications

(14 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Depending on the main purpose of the study, coalitional games are often classified or grouped into three distinct categories: canonical coalition games [23][24][25][26][27][28][29][30][31][32], coalition formation games [33][34][35][36][37][38][39][40][41], and coalition graph games [42][43][44]. These categories or classes of coalitional games are briefly represented in Figure 4.…”

Section: Categories Of Coalitional Gamesmentioning

confidence: 99%

Application and Challenges of Coalitional Game Theory in Power Systems for Sustainable Energy Trading Communities

Bandeiras,

Gomes,

Gomes

et al. 2023

Energies

View full text Add to dashboard Cite

The role of prosumers is changing as they become active and empowered members of the grid by exchanging energy. This introduces bidirectional power flow and other challenges into the existing power systems, which require new approaches capable of dealing with the increased decentralization and complexity. Such approaches rely on game-theoretic models and mechanisms to analyze strategic decisions in competitive settings. More specifically, a coalitional game can encourage participants to trade energy with one another and obtain fair and sustainable outcomes. Therefore, the contents of this work address the coalitional game for sustainable energy trading, as well as the challenges associated with its application in power systems. This is achieved by identifying literature works that successfully implemented coalitional games in energy trading and management applications while providing an overview of solution concepts and discussing their properties and contributions to sustainability. Moreover, this work also proposes conditions that peer-to-peer energy trading should satisfy to be considered sustainable. Finally, a case study is presented to demonstrate how a coalitional game and various solution concepts can be successfully implemented to ensure the benefits and stability of cooperation in power systems. The weighted Shapley value is proposed to allocate profits among communities according to their level of sustainability.

show abstract

Section: Categories Of Coalitional Gamesmentioning

confidence: 99%

Application and Challenges of Coalitional Game Theory in Power Systems for Sustainable Energy Trading Communities

Bandeiras,

Gomes,

Gomes

et al. 2023

Energies

View full text Add to dashboard Cite

show abstract

“…A carbon and green certificate joint trading model was formulated in [22] to improve energy efficiency and reduce carbon emissions from virtual power plants. Moreover, a two-stage communication-efficient coalition graph game-based framework was adopted in [23] to solve the P2P electricity and carbon allowance trading problem among energy hubs within a hybrid topology. A cooperative operation approach was developed in [24] to manage detailed electricity and carbon allowance transactions between battery swapping stations and charging stations in community MEMGs.…”

Section: Introductionmentioning

confidence: 99%

Distributed optimization for joint peer‐to‐peer electricity and carbon trading among multi‐energy microgrids considering renewable generation uncertainty

Hou,

Wang,

Zhao

et al. 2024

Energy Conversion and Econom

View full text Add to dashboard Cite

The increasing penetration of renewable energy and the further coupling of the electricity and carbon markets have hindered the realization of efficient and low‐carbon transformation processes in new power systems. This study addresses the optimization problems of joint peer‐to‐peer (P2P) electricity and carbon trading in multi‐energy microgrids (MEMGs), taking into account the risks associated with renewable generation in a distributed manner. First, a coordinated operation model is developed to describe the joint P2P electricity and carbon trading issues among MEMGs, aiming to minimize operating costs, mitigate potential risk losses, and reduce renewable energy wastage. Second, the conditional value‐at‐risk technique, paired with stochastic programming, is employed to quantify potential risk losses arising from uncertainties. Finally, a distributed optimization approach is developed based on the alternating direction method of multipliers to maintain the privacy and independence of decision‐making in individual MEMGs. During the trading processes, the Lagrangian multipliers are used as price signals to ensure fairness in optimal trading schemes among MEMGs. Moreover, a parallel solution mechanism is implemented to improve overall operational efficiency with minimal calculation expenditure. The simulation results demonstrate that the proposed method can reduce operation costs and carbon emissions while also preventing a significant amount of renewable energy abandonment.

show abstract

“…This method effectively addresses privacy issues and achieves a balance of interests for each MG subject by considering direct interaction between participants. The game theory mainly includes noncooperative game [18,19] and cooperative game [20][21][22][23][24][25][26][27][28]. In ref.…”

Section: Introductionmentioning

confidence: 99%

“…Noncooperative games can maximise the interests of each agent, but it cannot guarantee the existence and uniqueness of Nash equilibrium solution, so it usually leads to non-social and non-Pareto optimal. Cooperative game is usually modelled as alliance game [20][21][22] or Nash bargaining [23][24][25][26][27][28]. In ref.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Distributed robust operation strategy of multi‐microgrid based on peer‐to‐peer multi‐energy trading

Gao

Shao

Chen

et al. 2023

IET Energy Syst Integration

View full text Add to dashboard Cite

In microgrid (MG) systems, traditional centralised energy trading models can lead to issues such as low energy efficiency due to unstable energy supply and lack of flexibility. Peer‐to‐peer (P2P) trading models have been widely used due to their advantages in promoting the sustainable development of renewable energy and reducing energy trading costs. However, P2P multi‐energy trading requires mutual agreements between two microgrids (MGs), and the uncertainties of renewable energy and load affects energy supply security. To address these issues, this article proposed a distributed robust operation strategy based on P2P multi‐energy trading for multi‐microgrid (MMG) systems. Firstly, a two‐stage robust optimisation (TRO) method was adopted to consider the uncertainties of P2P multi‐energy trading between MGs, which reduced the conservatism of robust optimisation (RO). Secondly, a TRO model for P2P multi‐energy trading among MGs was established based on the Nash bargaining theory, where each MG negotiates with others based on their energy contributions in the cooperation. Additionally, a distributed algorithm was used to protect the privacy of each MG. Finally, the simulation results based on three MGs showed that the proposed approach can achieve a fair distribution of cooperative interests and effectively promote cooperation among MGs.

show abstract

A communication-efficient coalition graph game-based framework for electricity and carbon trading in networked energy hubs

Cited by 25 publications

References 26 publications

Application and Challenges of Coalitional Game Theory in Power Systems for Sustainable Energy Trading Communities

Application and Challenges of Coalitional Game Theory in Power Systems for Sustainable Energy Trading Communities

Distributed optimization for joint peer‐to‐peer electricity and carbon trading among multi‐energy microgrids considering renewable generation uncertainty

Distributed robust operation strategy of multi‐microgrid based on peer‐to‐peer multi‐energy trading

Contact Info

Product

Resources

About