Next Article in Journal
Electrical Treeing in Power Cable Insulation under Harmonics Superimposed on Unfiltered HVDC Voltages
Next Article in Special Issue
Analysis of Subsynchronous Resonance Characteristics and Influence Factors in a Series Compensated Transmission System
Previous Article in Journal
Improved Deadbeat FC-MPC Based on the Discrete Space Vector Modulation Method with Efficient Computation for a Grid-Connected Three-Level Inverter System
Previous Article in Special Issue
Research on Harmonic Current Amplification Effect of Parallel APF Compensating Voltage Source Nonlinear Load
Open AccessArticle

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

1
College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
2
State Grid Yongzhou Power Supply Company, Yongzhou 425000, China
*
Author to whom correspondence should be addressed.
Energies 2019, 12(16), 3112; https://doi.org/10.3390/en12163112
Received: 17 July 2019 / Revised: 9 August 2019 / Accepted: 12 August 2019 / Published: 13 August 2019
(This article belongs to the Special Issue Advanced Techniques for Electronic Power and Energy Systems)
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. View Full-Text
Keywords: integrated energy; energy hub technology; multi-agent; renewable energy; NSGA-III integrated energy; energy hub technology; multi-agent; renewable energy; NSGA-III
Show Figures

Figure 1

MDPI and ACS Style

Zeng, C.; Jiang, Y.; Liu, Y.; Tan, Z.; He, Z.; Wu, S. Optimal Dispatch of Integrated Energy System Considering Energy Hub Technology and Multi-Agent Interest Balance. Energies 2019, 12, 3112.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop