Benefit allocation for distributed energy network participants applying game theory based solutions

Wu, Qiong; Ren, Hongbo; Gao, Weijun; Ren, Jianxing

doi:10.1016/j.energy.2016.12.088

Cited by 70 publications

(23 citation statements)

References 32 publications

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“…According to the different status of each participating member in the Game process, the Game is divided into Nash Game, master slave Game (Stackelberg Game), etc. [27].…”

Section: Optimization Model Of Stackelberg Gamementioning

confidence: 99%

Study on Master Slave Interaction Model Based on Stackelberg Game in Distributed Environment

et al. 2020

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In view of the problems such as low efficiency, difficulty in resolving local conflicts and lack of practical application scenarios, existing in the interaction model of multi-agent systems in a distributed environment, a multi-master multi-slave interaction model was designed based on the Stackelberg game, which is applied to the interaction game problem between the controller and the participant in the command and control process. Through optimizing the Stackelberg game model and multi-attribute decision-making, the multi-master, multi-slave, multi-agent system of the Stackelberg game was designed, and the closed loop problem under the Stackelberg game is solved for dimension reduction and optimal function value. Finally, through the numerical derivation simulation and the training results of related system data, the high efficiency and strong robustness of the model were verified from multiple perspectives, and this model algorithm was proved to be true and highly efficient.

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“…According to the different status of each participating member in the Game process, the Game is divided into Nash Game, master slave Game (Stackelberg Game), etc. [27].…”

Section: Optimization Model Of Stackelberg Gamementioning

confidence: 99%

Study on Master Slave Interaction Model Based on Stackelberg Game in Distributed Environment

et al. 2020

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“…Loehman et al [43] used an index similar to the Shapley-Shubik power index to measure power in a cooperative game. This index was used in several later studies to evaluate the fairness of a given allocation among all players [37,40,44].…”

Section: Fairness Indexmentioning

confidence: 99%

“…is the standard deviation and represents the average value. The greater the value of FI, the larger the instability of the solution [37,40,44].…”

Section: Fairness Indexmentioning

confidence: 99%

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Contractors’ Partnership in Project Resource Management Application of Cooperative Game Theory Approach

Akhbari

2018

Scientia Iranica

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It is generally agreed that decomposing a project into several independent subprojects can help to have a successful and e ective project management. On the other hand, this may lead to ine cient use of some renewable resources and increase in the total cost and time of project. This study deals with the bene ts of horizontal partnering among contractors assigned to subprojects through sharing renewable resources and proposes a model based on cooperative game theory for the problem. The improvement of the Net Present Value (NPV) of the project was considered as the bene t of cooperation among contractors. Therefore, a Mixed-Integer Non-Linear Programming (MINLP) model was developed for the resource constrained project scheduling with the objective function of maximizing the NPV of each coalition. Seven widely used cooperative game theory solution methods were used to solve the NPV allocation problem and then, stability criteria were utilized to nd the best allocation scheme. An example is presented in the paper to more comprehensively illustrate the problem.

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“…On the other hand, cooperative game theory has begun to be used to realize energy saving on the micro level. Based on cooperative game theory, Wu et al [86][87][88] developed models for optimization of distributed energy networks which were integrated with heating interchanges to realize cooperative energy saving and cost effectiveness. However, research exploring cooperative energy saving from the perspective of macro-management remains scant.…”

Section: Introductionmentioning

confidence: 99%

Modeling Interprovincial Cooperative Energy Saving in China: An Electricity Utilization Perspective

et al. 2018

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Abstract:As the world faces great challenges from climate change and environmental pollution, China urgently requires energy saving, emission reduction, and carbon reduction programmes. However, the non-cooperative energy saving model (NCESM), the simple regulation mode that is China's main model for energy saving, is not beneficial for optimization of energy and resource distribution, and cannot effectively motivate energy saving at the provincial level. Therefore, we propose an interprovincial cooperative energy saving model (CESM) from the perspective of electricity utilization, with the object of maximizing the benefits from electricity utilization of the cooperation union based on achieving the energy saving goals of the union as a whole. The CESM consists of two parts: (1) an optimization model that calculates the optimal quantities of electricity consumption for each participating province to meet the joint energy saving goal; and (2) a model that distributes the economic benefits of the cooperation among the provinces in the cooperation based on the Shapley value method. We applied the CESM to the case of an interprovincial union of Shanghai, Sichuan, Shanxi, and Gansu in China. The results, based on the data from 2001-2014, show that cooperation can significantly increase the benefits of electricity utilization for each province in the union. The total benefits of the union from utilization of electricity increased 38.38%, or 353.98 billion CNY, while the benefits to Shanghai, Sichuan, Shanxi, and Gansu were 200.28, 58.37, 57.11, and 38.22 billion CNY respectively greater under the CESM than the NCESM. The implementation of the CESM provides the provincial governments not only a flexible and incentive way to achieve short-term goals, but also a feasible and effective path to realize long-term energy saving strategies. To test the impact of different parameter values on the results of the CESM, a sensitivity analysis was conducted. Some policy recommendations are made at the central government level and the provincial government level to promote the implementation of the CESM.

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Benefit allocation for distributed energy network participants applying game theory based solutions

Cited by 70 publications

References 32 publications

Study on Master Slave Interaction Model Based on Stackelberg Game in Distributed Environment

Study on Master Slave Interaction Model Based on Stackelberg Game in Distributed Environment

Contractors’ Partnership in Project Resource Management Application of Cooperative Game Theory Approach

Modeling Interprovincial Cooperative Energy Saving in China: An Electricity Utilization Perspective

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