Coordinated management of centralized and distributed generation in an integrated energy system using a multi-agent approach

2022 ◽  
Vol 309 ◽  
pp. 118487
Author(s):  
Valery Stennikov ◽  
Evgeny Barakhtenko ◽  
Gleb Mayorov ◽  
Dmitry Sokolov ◽  
Bin Zhou
Keyword(s):  
Distributed Generation ◽  
Energy System ◽  
Integrated Energy System ◽  
Multi Agent

scholarly journals Research on the coordinated optimization operation method of Park Comprehensive Energy System Based on master-slave game

2021 ◽  
Vol 245 ◽  
pp. 01044
Author(s):  
Nan Xu ◽  
Bo Zhou ◽  
Jing Nie ◽  
Yan Song ◽  
Zihao Zhao
Keyword(s):  
Cost Model ◽  
Energy System ◽  
Optimization Method ◽  
Energy Market ◽  
Model Operator ◽  
Load Model ◽  
Game Equilibrium ◽  
Coordinated Optimization ◽  
Integrated Energy System ◽  
Multi Agent

With the transformation of the energy market from the traditional vertical integrated structure to the interactive competitive structure, the distributed characteristics of the energy system become more and more obvious, and the traditional centralized optimization method is difficult to reveal the interaction between the multi-agent. In this paper, a method based on master-slave game is proposed to optimize the operation of park integrated energy system. Firstly, user load model, user benefit model, operator revenue and cost model are established for park integrated energy system. Secondly, the Stackelberg master-slave game model of interactive optimization operation is established, and the peak cutting compensation price is adjusted. Both of them aim at maximizing their own interests until the game equilibrium is achieved. A distributed cooperative optimization model with one master and many slaves is established and solved by the combination of genetic algorithm and quadratic programming. Finally, an example is given to verify the effectiveness of the proposed method.

scholarly journals Optimal Dispatch of Integrated Energy System Considering Energy Hub Technology and Multi-Agent Interest Balance

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3112
Author(s):  
Zeng ◽  
Jiang ◽  
Liu ◽  
Tan ◽  
He ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Service Providers ◽  
Pareto Frontier ◽  
Optimal Solution ◽  
Energy System ◽  
Optimal Dispatch ◽  
Energy Hub ◽  
Interest Balance ◽  
Integrated Energy System ◽  
Multi Agent

With the gradual liberalization of the energy market, the future integrated energy system will be composed of multiple agents. Therefore, this paper proposes an optimization dispatch method considering energy hub technology and multi-agent interest balance in an integrated energy system. Firstly, an integrated energy system, including equipment for cogeneration, renewable energy, and electric vehicles, is established. Secondly, energy hub technologies, such as demand response, electricity storage, and thermal storage, are comprehensively considered, and the integrated energy system is divided into three agents: Integrated energy service providers, renewable energy owners, and users, respectively. Then, with the goal of balancing the interests of each agent, the model is solved by the non-dominated sorting genetic algorithm-III (NSGA-III) to obtain the Pareto frontier. Since the Pareto frontier is a series of values, the optimal solution of each agent in the Pareto frontier is found by the technical for order preference with a similar to ideal solution (TOPSIS). Ultimately, taking an integrated energy demonstration park in China as a case study, the function of energy hub technology is analyzed by simulation, and the proposed method is verified to be effective and practicable.

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