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METHODS article

Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1453754
This article is part of the Research Topic Integrated Energy System Planning, Optimization, Trading and Benefit Assessment View all 5 articles

Study on the Comprehensive Evaluation Index System for Low Carbon Development of Power Systems in Load Intensive City

Provisionally accepted
Yi Liang Yi Liang 1Hong Dong Hong Dong 1Yuqun Gao Yuqun Gao 1Liujun Hu Liujun Hu 1Yanna Gao Yanna Gao 1Zihan Lin Zihan Lin 1Fanhong Zeng Fanhong Zeng 1Yunxia Xu Yunxia Xu 2*
  • 1 Guangzhou Power Supply Bureau, Guangdong Power Grid Co., LTD., Guangdong, China
  • 2 Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu, China

The final, formatted version of the article will be published soon.

    At present, there is a relative lack of study on the comprehensive index system for low carbon development of power systems in load intensive city in China. Firstly, this paper outlined the main challenges faced in the development process of urban power systems, and determined development goals and key indexes, which combined the macro goals and requirements of the construction of new power system with the development characteristics and trends of load intensive urban power systems.Secondly, an comprehensive index system and evaluation method for the low carbon development of power systems would be proposed that took into account the perspectives of safety, efficiency, cleanliness, low-carbon, and flexibility. Finally, the effectiveness of the proposed index system and evaluation method was verified by taking the development of actual power systems in ultra large load intensive city as an example, which providing support for the development decision-making of actual urban power systems construction and transformation.

    Keywords: load intensive city, Comprehensive evaluation index system, Security efficiency, low carbon with cleanliness, Flexibility

    Received: 24 Jun 2024; Accepted: 12 Aug 2024.

    Copyright: © 2024 Liang, Dong, Gao, Hu, Gao, Lin, Zeng and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yunxia Xu, Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu, China

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