Optimal Dispatch and Pricing of Industrial Parks Considering CHP Mode Switching and Demand Response

Yating Zhao; Zhi Wu; Wei Gu; Jingxuan Wang; Fujue Wang; Zhoujun Ma; Minqiang Hu

doi:10.17775/CSEEJPES.2022.01080

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Optimal Dispatch and Pricing of Industrial Parks Considering CHP Mode Switching and Demand Response

Regular Papers | 更新时间：2026-10-15

- Optimal Dispatch and Pricing of Industrial Parks Considering CHP Mode Switching and Demand Response
- CSEE Journal of Power and Energy Systems Vol. 10, Issue 5, Pages: 2174-2185(2024)
- 作者机构：
  
  1. School of Electric Engineering, Southeast University,Nanjing,China
  2. College of Energy and Electrical Engineering, Hohai University,Nanjing,China
  3. State Grid Jiangsu Electric Power Company,Nanjing,China,210024
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2022.01080
  CLC：
- Published：01 September 2024
- 稿件说明：
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Yating Zhao, Zhi Wu, Wei Gu, et al. Optimal Dispatch and Pricing of Industrial Parks Considering CHP Mode Switching and Demand Response[J]. CSEE Journal of Power and Energy Systems, 2024, 10(5): 2174-2185.
DOI：

Yating Zhao, Zhi Wu, Wei Gu, et al. Optimal Dispatch and Pricing of Industrial Parks Considering CHP Mode Switching and Demand Response[J]. CSEE Journal of Power and Energy Systems, 2024, 10(5): 2174-2185. DOI： 10.17775/CSEEJPES.2022.01080.

摘要

Abstract

Industrial parks (IPs) play a crucial role in facilitating economic efficiency and comprehensive energy utilization in the industrial age. At the same time

multi-energy coupling and management of various types of energy in IP have become serious challenges. In this paper

combined heat and power unit (CHP) model considering operation mode switching characteristics is formulated by exploring its internal composition to improve output flexibility of the energy supply side. Then

heat and electricity integrated energy system (HE-IES) optimal dispatch and pricing model are established

taking electricity and heat demand response strategy and steam thermal inertia property into account. Based on the above models

a mixed-integer bilinear programming framework is designed to coordinate the day-ahead operation and pricing strategy of the HE-IES in the IP. The scenario study is carried out on a practical industrial park in Southern China. Numerical results indicate the proposed mechanism can effectively improve IP's energy utilization and economic efficiency.

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