Distributed Dispatch of Multiple Energy Systems Considering Carbon Trading

Yue Xiang; Mengqiu Fang; Junyong Liu; Pingliang Zeng; Ping Xue; Gang Wu

doi:10.17775/CSEEJPES.2021.09050

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Distributed Dispatch of Multiple Energy Systems Considering Carbon Trading

Special Section Papers | 更新时间：2026-10-15

- Distributed Dispatch of Multiple Energy Systems Considering Carbon Trading
- CSEE Journal of Power and Energy Systems Vol. 9, Issue 2, Pages: 459-469(2023)
- 作者机构：
  
  1. College of Electrical Engineering, Sichuan University,Chengdu,China
  2. School of Automation, Hangzhou Dianzi University,Hangzhou,China
  3. State Grid Sichuan Technical Training Center,Chengdu,China
  4. State Grid Sichuan Economic Research Institute,Sichuan,Chengdu,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2021.09050
  CLC：
- Published：01 March 2023
- 稿件说明：
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Yue Xiang, Mengqiu Fang, Junyong Liu, et al. Distributed Dispatch of Multiple Energy Systems Considering Carbon Trading[J]. CSEE Journal of Power and Energy Systems, 2023, 9(2): 459-469.
DOI：

Yue Xiang, Mengqiu Fang, Junyong Liu, et al. Distributed Dispatch of Multiple Energy Systems Considering Carbon Trading[J]. CSEE Journal of Power and Energy Systems, 2023, 9(2): 459-469. DOI： 10.17775/CSEEJPES.2021.09050.

摘要

Abstract

As an integrated carrier of energy production

transmission

distribution

conversion

storage

and utilization

multiple energy systems (MESs) have significant low-carbon potential. This paper proposes a hierarchical distributed dispatch model of MESs considering carbon trading

which is composed of the lower autonomous operation level of each MES and the upper coordinated control level. Different carbon emission sources are considered

including combined heat and power (CHP) units

gas boilers

and power to gas (P2G) devices. The transactive control (TC) mechanism is used to solve the model by introducing a virtual price signal. In the case study based on a 3-MES system

the effectiveness of the proposed distributed method is proved by comparison with a centralized algorithm. Meanwhile

the impacts of different carbon prices on MESs with different resource endowments are analyzed from the aspects of scheduling results

carbon emissions

clean energy consumption rate

and comprehensive operating costs.

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