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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 13 - 2025 | doi: 10.3389/fenrg.2025.1540071
This article is part of the Research Topic Advanced Technologies for High-quality Development of Distribution Systems with Distributed Energy Resources View all articles

Optimal dispatch of integrated energy system considering time-space dimensional demand response based on time-of-use electricity price

Provisionally accepted
Tingli Cheng Tingli Cheng 1,2*Liqiang Zeng Liqiang Zeng 2Hao Tang Hao Tang 1Yingying Zhang Yingying Zhang 1
  • 1 Hefei University of Technology, Hefei, China
  • 2 Chongqing University, Chongqing, China

The final, formatted version of the article will be published soon.

    Demand response has significant potential for enhancing energy utilization, thereby contributing to the advancement of integrated energy systems (IES). In this paper, an optimal IES dispatch model fully incorporating flexible loads on the demand sides is established. Firstly, based on time-of-use (ToU) electricity pricing, a flexible two-dimensional integrated demand response (IDR) model of is presented, which is characterized by considering tightly spatial-temporal coupling characteristics of different loads. Subsequently, a day-ahead dispatch model for IES, incorporating ToU-based IDR, is developed to minimize the total operational cost.In this model, the optimal ToU pricing scheme is determined by comparing their economic efficiencies. The Particle Swarm Optimization (PSO) algorithm is then applied to solve the complex dispatch problem. Finally, the case study is conducted and the comparative results confirm that: 1) implementation of the IDR in time-space dimension can flatten the loads curves; 2) the time-space IDR significantly promotes the economic benefits of IES dispatch; 3) the proposed dispatch model is able to coordinate and optimize various types of energy and flexible loads.

    Keywords: Integrated energy system, demand response, Operation cost, cost, Price

    Received: 05 Dec 2024; Accepted: 17 Jan 2025.

    Copyright: © 2025 Cheng, Zeng, Tang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Tingli Cheng, Hefei University of Technology, Hefei, China

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