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Chengyu Zeng
College of Electrical and Information Engineering, Hunan University, Changsha 410082, China

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Journal article
Published: 13 August 2019 in Energies
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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.

ACS Style

Chengyu Zeng; Yuechun Jiang; Yuqing Liu; Zuoyun Tan; Zhongnan He; Shuhong Wu; Zeng; Liu; Tan; He; Wu. Optimal Dispatch of Integrated Energy System Considering Energy Hub Technology and Multi-Agent Interest Balance. Energies 2019, 12, 3112 .

AMA Style

Chengyu Zeng, Yuechun Jiang, Yuqing Liu, Zuoyun Tan, Zhongnan He, Shuhong Wu, Zeng, Liu, Tan, He, Wu. Optimal Dispatch of Integrated Energy System Considering Energy Hub Technology and Multi-Agent Interest Balance. Energies. 2019; 12 (16):3112.

Chicago/Turabian Style

Chengyu Zeng; Yuechun Jiang; Yuqing Liu; Zuoyun Tan; Zhongnan He; Shuhong Wu; Zeng; Liu; Tan; He; Wu. 2019. "Optimal Dispatch of Integrated Energy System Considering Energy Hub Technology and Multi-Agent Interest Balance." Energies 12, no. 16: 3112.