Optimization model of power generation right trading considering carbon trading income and network loss cost

被引：0
|
作者：
Wang Z. [1 ]
Bao H. [1 ]
Zhang F. [2 ]
Ding J. [2 ]
机构：
[1] School of Electrical and Electronic Engineering, North China Electric Power University, Beijing
[2] Electric Power Research Institute, State Grid Anhui Electric Power Co.，Ltd., Hefei
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2023年 / 43卷 / 05期
关键词：
carbon trading; generation right trading; intra-day trading; multilateral consultation; network loss cost; renewable energy consumption;
D O I：
10.16081/j.epae.202208041
中图分类号：
学科分类号：
摘要：
With the proposal of“dual carbon”goal，it is urgent to finish the task of power structure adjustment and consumption and emission reduction. An optimization model of power generation right for system with renewable energy is proposed considering carbon trading income and network loss cost，which aims to promote various power plants to actively participate in power generation right trading. The intra-day multilateral negotiation trading mode of power generation right is adopted，which reduces the trading deviation while improves the trading efficiency and expands the scale. Integrating the carbon trading mechanism，multiple power generation right trading structures of wind-thermal，light-thermal and thermal-thermal are constructed，which fully exploit the emission reduction potential of each unit. The network loss cost difference before and after trading is calculated based on the power component theory，which provides reference for the problems of network loss cost control and settlement. An optimization model of intra-day power generation right trading electricity quantity is built，which takes the optimal comprehensive income after multilateral negotiation trading as the objective and considers the constraints of output characteristic and system security and so on. The simulative results of the improved IEEE 39-bus system verify the effectiveness of the proposed model. © 2023 Electric Power Automation Equipment Press. All rights reserved.
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页码：23 / 29
页数：6
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