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Study on optimal dispatching of clean energy heating considering customer satisfaction
  • +4
  • Haifeng Chen,
  • Houjing Guo,
  • Minli Huang,
  • Zhixuan Pan,
  • Jing Cheng,
  • Dabala Wu,
  • Jieren Tan
Haifeng Chen
SGIDI Engineering Consulting (Group) Co., Ltd

Corresponding Author:chf202285@163.com

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Houjing Guo
Inner Mongolia Power Group Economic and Technological Research Co., Ltd
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Minli Huang
SGIDI Engineering Consulting (Group) Co., Ltd
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Zhixuan Pan
SGIDI Engineering Consulting (Group) Co., Ltd
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Jing Cheng
SGIDI Engineering Consulting (Group) Co., Ltd
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Dabala Wu
Inner Mongolia Power Group Economic and Technological Research Co., Ltd
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Jieren Tan
China Energy Engineering Group Guangdong Electric Power Design Institute Co., Ltd
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Abstract

Abstract: The consumption of coal in winter heating period in northern China is large, and the combustion generates greenhouse gases that pollute the environment. At the same time, wind abandonment is widespread in northern China, causing waste of energy. In order to solve these problems, this paper proposes to apply clean energy heating and waste wind power generation for heating, and build a multi-objective optimal dispatching model under the goal of considering Customer satisfaction and operating costs. Finally, taking a region in the north of China as an example, the improved genetic algorithm is used to solve the model. The example results verify that the use of clean energy heating can increase the wind power consumption space and reduce the heating cost in winter.
30 Jan 2023Submitted to The Journal of Engineering
01 Feb 2023Submission Checks Completed
01 Feb 2023Assigned to Editor
18 Feb 2023Reviewer(s) Assigned
02 Aug 2023Review(s) Completed, Editorial Evaluation Pending
29 Aug 2023Editorial Decision: Revise Major
07 Nov 20231st Revision Received
22 Nov 2023Submission Checks Completed
22 Nov 2023Assigned to Editor
22 Nov 2023Reviewer(s) Assigned