Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2023 , Vol. 57 >Issue 7: 814 - 823

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2022.029

New Type Power System and the Integrated Energy

Optimal Scheduling of Integrated Energy System Considering Integration of Electric Vehicles and Load Aggregators

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  • College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Received date: 2022-02-14

  Revised date: 2022-03-11

  Accepted date: 2022-03-21

  Online published: 2023-01-10

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Abstract

Fully tapping into the role of user side regulation helps reduce the energy cost of integrated energy system (IES). Demand response (DR) and electric vehicle (EV) as schedulable resources on the user side are important regulation means for optimal scheduling of IES. However, in the actual operation process, due to the influence of load aggregator (LA) economic incentives and EV travel, the economic impact of the uncertainty of user side DR on IES cannot be ignored. Based on this, this paper proposes an IES optimal operation model considering the robust stochastic optimization of EV and the participation of LA which considers the energy purchase cost of IES from the superior network and the economic loss cost of LA. First, the response rate model and EV uncertainty model based on economic incentive are constructed. Then, the robust optimization model of EV is built, and the load demand of EV travel uncertainty is analyzed. Finally, a simulation example is given to analyze the impact of user DR uncertainty and EV uncertainty on IES operation economy and power balance. The simulation results show that considering the uncertainty of DR and EV can optimize the economic operation of IES and reduce the economic loss of LA and the total cost, which verifies the effectiveness and economy of the proposed models.

Key words： integrated energy system (IES); load aggregator (LA); demand response (DR); electric vehicle (EV); uncertainty

Cite this article

WANG Jing, XING Haijun, WANG Huaxin, PENG Sijia . Optimal Scheduling of Integrated Energy System Considering Integration of Electric Vehicles and Load Aggregators[J]. Journal of Shanghai Jiaotong University, 2023 , 57(7) : 814 -823 . DOI: 10.16183/j.cnki.jsjtu.2022.029

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