Effects of Distributed Generation on Carbon Emission Reduction of Distribution Network

Authors

  • Di Wu School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, China
  • Jun Su 1) School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, China 2) Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control, Xiamen, China
  • Zhengyu Chen School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, China
  • Hanhan Liu School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.3913

Keywords:

Distributed generation, power flow, carbon emission flow, decarbonization, carbon neutrailty

Abstract

Increasing renewable energy integration in power systems is an important way of decarbonising carbon emissions. Recently, the ever-increasing deployment of distributed generation (DG) is considered effective in reducing carbon emissions and power loss, such as wind, photovoltaic (PV), and combined heat and power generation (CHP) on the demand side. Thus, the evaluation of carbon emission flow (CEF) will be a crucial factor for distribution network planning with the integration of DGs, which may act as a supplemented indicator in addition to traditional power flow study. In the planning stage, it is paramount to ensure that decarbonisation process of the power distribution system is in line with environmental and technical targets. Thus, the paper proposes a modelling strategy to combine the power flow and carbon emission flow. It aims to analyse and calculate the CEF based on the power-flow study. The novel model satisfies the power flow and CEF balance and can be directly used to evaluate the decarbonization of power system. The results of this study can help relevant energy decision-makers to do appropriate renewable energy generation planning and guide the power system to achieve carbon neutrality.

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Author Biographies

Di Wu, School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, China

Di Wu graduated from Henan University in 2020. He is currently studying for a master’s degree at Xiamen University of Technology. The main research directions include smart distribution grids and low-carbon electricity.

Jun Su, 1) School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, China 2) Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control, Xiamen, China

Jun Su graduated in Electrical Engineering from Staffordshire University in 2012 and a master’s degree in electrical energy systems from Cardiff University in 2014. 2017.10–2020.12 Studied at Auckland University of Technology, New Zealand, and obtained a PhD in Electrical engineering. 2021.7 Teaching at School of Electrical Engineering and Automation, Xiamen University of Technology. The main research directions include electric vehicles and new energy grid optimization, intelligent distribution network, relay protection.

Zhengyu Chen, School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, China

Zhengyu Chen graduated from Nanjing Institute of Technology in 2020. He is currently studying for a master’s degree at Xiamen University of Technology. The main research directions include intelligent distribution network and low-carbon electricity.

Hanhan Liu, School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, China

Hanhan Liu graduated from North China Institute of Science and Technology in 2021. He is currently studying for a master’s degree at Xiamen University of Technology. The main research directions include smart new energy grid optimization and low-carbon electricity.

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Published

2023-10-30

How to Cite

Wu, D. ., Su, J. ., Chen, Z. ., & Liu, H. . (2023). Effects of Distributed Generation on Carbon Emission Reduction of Distribution Network. Distributed Generation &Amp; Alternative Energy Journal, 39(01), 57–82. https://doi.org/10.13052/dgaej2156-3306.3913

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