上海交通大学学报

上海交通大学学报 >

2024 , Vol. 58 >Issue 12: 1835 - 1845

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.217

新型电力系统与综合能源

计及碳成本的区域间电价差与跨区电力交易量评估模型

  • 李威 ,
  • 李然 ,
  • 胡炎 ,
  • 王曦炜 ,
  • 熊康
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  • 上海交通大学 电力传输与功率变换控制教育部重点实验室,上海 200240
李 威(1998—),硕士生,从事碳市场、电力市场相关研究.
李 然,副教授,博士生导师;E-mail:rl272@sjtu.edu.cn.

收稿日期: 2023-05-31

  修回日期: 2023-08-22

  录用日期: 2023-08-31

  网络出版日期: 2023-09-25

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Assessment Model for Interregional Electricity Price Difference and Cross-Regional Electricity Trading Volume Considering Carbon Cost

  • LI Wei ,
  • LI Ran ,
  • HU Yan ,
  • WANG Xiwei ,
  • XIONG Kang
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  • Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China

Received date: 2023-05-31

  Revised date: 2023-08-22

  Accepted date: 2023-08-31

  Online published: 2023-09-25

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摘要

在实现“双碳”目标背景下,电力行业碳减排任务亟待完成;跨区电力交易能实现富余风光资源异地消纳,助力电力系统低碳转型.由于互联区域电源结构差异客观存在,所以碳成本对区域内出清电价影响程度不同,进而形成区域间动态电价差,影响跨区电力交易结果;交易结果又会加剧电源结构差异,进一步影响区间电价差.为此,提出一种计及碳成本的区间电价差与跨区电力交易量评估模型,将碳成本引入电力系统生产过程,理顺区间电价差和跨区电力交易的关系.在跨区电力交易量的评估中,以区间动态电价差为信号确定跨区电力交易量;在区间电价差的评估中,以各机组年收益率为依据更新区内电源结构,对比电源结构迭代前、后的电价差.以两互联地区开展跨区电力交易为例,算例仿真结果表明:所提模型能够有效评估区域间动态电价差和跨区电力交易量,量化电源结构演化对区间电价差的影响.

关键词： 碳成本; 区间电价差; 跨区电力交易; 电源结构

本文引用格式

李威 , 李然 , 胡炎 , 王曦炜 , 熊康 . 计及碳成本的区域间电价差与跨区电力交易量评估模型[J]. 上海交通大学学报, 2024 , 58(12) : 1835 -1845 . DOI: 10.16183/j.cnki.jsjtu.2023.217

Abstract

In the context of achieving the “dual carbon” goal, the task of carbon emission reduction in the power industry urgently needs to be completed. Cross-regional electricity trading can facilitate the remote consumption of surplus renewable resources and contribute to the low-carbon transformation of the power system. Due to the inherent differences in power generation structures across interconnected regions, the impact of carbon costs on the clearing electricity prices within regions varies, leading to dynamic price differences between regions, which, in turn, affects the outcomes of cross-regional electricity trading, and further exacerbates the differences in power generation structures, thereby impacting interval electricity price differences. To address these complexities, this paper proposes an assessment model which considers both carbon costs and interval electricity price differences in evaluating cross-regional electricity trading volumes. The model aims to establish a coherent relationship between interval price differences and cross-regional electricity trading by incorporating carbon costs into the power system production process. It uses the dynamic interval price difference as a signal to determine the trading volume between regions in the evaluation of cross-regional electricity trading volumes. In assessing interval price differences, the model updates the intra-region power generation structure based on unit revenue rates, and contrasts the price differences before and after these structural iterations. Taking the cross-regional electricity trading between two interconnected areas as an example, the results of the computational simulations demonstrate that the proposed model effectively evaluates the dynamic price differences between regions and cross-regional electricity trading volumes. Additionally, it quantifies the impact of power generation structure evolution on interval price differences.

Key words： carbon cost; interregional electricity price difference; cross-regional electricity trading; power generation structure

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