System Development & Application
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 5
1508-1514

Low carbon economic scheduling of integrated energy systems based on proximal policy optimization algorithm with carbon capture

Wang Guilan1a,1b
Zhang Haixiao1a,1b
Liu Hong2
Zeng Kangwei1a,1b
1. a. School of Control & Computer Engineering, b. Engineering Research Center of Intelligent Computing for Complex Energy Systems, Ministry of Education, North China Electric Power University, Baoding Hebei 071000, China
2. State Grid Hebei Electric Power Co. , Ltd. Information & Communication Branch, Shijiazhuang 050000, China
DOI: 10.19734/j.issn.1001-3695.2023.08.0446

Abstract

In order to achieve low-carbon economic operation and multi energy complementarity of the PIES in the park, solve the contradiction between power consumption and carbon capture demand of carbon capture devices, as well as the problem of real-time response to uncertain source loads, this paper proposed a low-carbon economic scheduling method for the comprehensive energy system with carbon capture based on proximal strategy optimization algorithm. This method solved the contradiction between power consumption and carbon capture demand of carbon capture devices by adding carbon capture devices to PIES, thereby achieving low-carbon operation of PIES. By adopting a proximal strategy optimization algorithm for dynamic scheduling of PIES, it solved the uncertainty of source and load, and balanced the supply and demand of various energy sources, thereby reducing the operating cost of the system. The experimental results show that this method realizes the real-time response of uncertain source loads, and is effective and progressiveness in low-carbon economic operation compared with DDPG and DQN methods.

Foundation Support

河北省省级科技计划资助项目(22310302D)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.08.0446
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 5
Section: System Development & Application
Pages: 1508-1514
Serial Number: 1001-3695(2024)05-032-1508-07

Publish History

[2024-01-16] Accepted Paper
[2024-05-05] Printed Article

Cite This Article

王桂兰, 张海晓, 刘宏, 等. 基于近端策略优化算法含碳捕集的综合能源系统低碳经济调度 [J]. 计算机应用研究, 2024, 41 (5): 1508-1514. (Wang Guilan, Zhang Haixiao, Liu Hong, et al. Low carbon economic scheduling of integrated energy systems based on proximal policy optimization algorithm with carbon capture [J]. Application Research of Computers, 2024, 41 (5): 1508-1514. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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