基于绿证-碳交易机制的风-火-蓄联合调峰控制策略

doi:10.12204/j.issn.1000-7229.2023.07.002

电力建设 ›› 2023, Vol. 44 ›› Issue (7): 11-20.doi: 10.12204/j.issn.1000-7229.2023.07.002

• 双碳目标驱动下的能源电力经济与市场机制·栏目主持文福拴教授、刘敦楠教授· • 上一篇下一篇

基于绿证-碳交易机制的风-火-蓄联合调峰控制策略

李军徽¹, 罗铉众¹, 朱星旭¹(), 李翠萍¹, 贾晨², 张哲深³, 黄建文³, 陈培毅³

1.现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市 132012
2.国网辽宁省电力有限公司电力科学研究院,沈阳市 110006
3.国网浙江省电力有限公司苍南县供电公司,浙江省苍南县 325800

收稿日期:2022-10-15 出版日期:2023-07-01 发布日期:2023-06-21
通讯作者: 朱星旭(1989),男,博士,讲师,主要研究方向为电力系统运行与控制,E-mail:neduzxx@163.com
作者简介:李军徽(1976),男,博士,教授,主要研究方向为新能源发电联网运行关键技术和储能技术应用等;
罗铉众(1998),男,硕士研究生,主要研究方向为储能技术在新能源发电中的应用;
李翠萍(1982),女,博士,副教授,主要研究方向为新能源运行与控制、配电网中分布式储能控制策略。
基金资助:
吉林省自然科学基金联合基金项目资助(YDZJ202101ZYTS152);国家电网有限公司科技项目(5108-202299257A-1-0-ZB)

Peak Regulation Control Strategy of Wind-Thermal-Storage Combined Based on Green Certificate-Carbon Trading Mechanism

LI Junhui¹, LUO Xuanzhong¹, ZHU Xingxu¹(), LI Cuiping¹, JIA Chen², ZHANG Zheshen³, HUANG Jianwen³, CHEN Peiyi³

1. Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology of Ministry of Education(Northeast Electric Power University), Jilin 132012, Jilin Province, China
2. Electric Power Research Institute of State Grid, Liaoning Electric Power Co., Ltd., Shenyang 110006, China
3. State Grid Cangnan Electric Power Company, Cangnan 325800, Zhejiang Province, China

Received:2022-10-15 Online:2023-07-01 Published:2023-06-21
Supported by:
Joint Foundation of the Natural Science Foundation of Jilin Province(YDZJ202101ZYTS152);Science and Technology Project of the State Grid Corporation of China(5108-202299257A-1-0-ZB)

摘要/Abstract

摘要：

碳达峰、碳中和对可再生能源提出了更迫切的发展要求。为缓解电网调峰压力的同时降低碳排放,提出了一种基于绿证-碳交易机制的风-火-蓄联合调峰控制策略。该策略为分层控制,上层模型为保证抽蓄电站的削峰填谷效果和收益,以净负荷峰谷差最小和抽蓄收益最大为目标;下层模型以系统总运行成本最低为目标,并引入了划分区间的阶梯式碳交易机制和量化罚款幅度的绿色证书交易机制,旨在保证系统经济性的同时满足低碳性。仿真结果表明,所提出的绿证-碳交易机制控制策略可减少火电机组出力1.69%,降低系统总运行成本4.09%,验证了策略在低碳经济发展方面的作用。

关键词: 风-火-蓄联合发电系统, 碳交易机制, 绿色证书交易机制, 低碳减排

Abstract:

Peak carbon dioxide emissions and carbon neutrality require urgent renewable energy development. This paper proposes a peak regulation control strategy for wind-thermal-storage combined with the green certificate-carbon trading mechanism to ease peak shaving pressure and reduce carbon emissions. The strategy employs a hierarchical control approach. First, the upper model aims to optimize the peak-valley difference of the net load and maximize the revenue from pumping and storage power stations, ensuring their peak-shaving, valley-filling effect, and revenue. Second, the lower model aims at the lowest total operating cost of the system and incorporates a carbon trading mechanism with segmented boundaries and a green certificate mechanism with quantified fines to ensure the economy of the system while meeting the low carbon requirements. Through simulation analysis, the proposed green certificate-carbon trading mechanism control strategy can reduce the output of thermal power units by 1.69% and the total operating cost of the system by 4.09%, verifying the role of the strategy in developing a low-carbon economy.

Key words: wind-thermal-storage combined power generation system, carbon trading mechanism, green certificate trading mechanism, low carbon emission reduction

中图分类号:

TM73

李军徽, 罗铉众, 朱星旭, 李翠萍, 贾晨, 张哲深, 黄建文, 陈培毅. 基于绿证-碳交易机制的风-火-蓄联合调峰控制策略[J]. 电力建设, 2023, 44(7): 11-20.

LI Junhui, LUO Xuanzhong, ZHU Xingxu, LI Cuiping, JIA Chen, ZHANG Zheshen, HUANG Jianwen, CHEN Peiyi. Peak Regulation Control Strategy of Wind-Thermal-Storage Combined Based on Green Certificate-Carbon Trading Mechanism[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(7): 11-20.

图/表 13

图1 联合系统结构

Fig.1 Combined system structure

图2 模型分层控制框架

Fig.2 Hierarchical control framework of model

图3 模型求解流程图

Fig.3 Flow chart of model solution

图4 风电聚类场景结果

Fig.4 Wind power scene clustering results

表1 抽水蓄能机组运行参数

Table 1 Operating parameters of pumped storage unit

表2 火电机组构成及参数

Table 2 Composition and parameters of thermal power units

图5 风电和负荷预测曲线

Fig.5 Wind powerand load forecasting curve

图6 场景1和4机组出力优化结果

Fig.6 Output optimization results of units in scenario 1 and 4

表3 各场景下系统运行情况

Table 3 System operation in various scenarios

图7 削峰填谷效果

Fig.7 Effect diagram of peak cutting and valley filling

表4 调峰效果参数

Table 4 Peak shaving effect parameter

图8 新能源规定配额关系曲线

Fig.8 New energy quota relationship curve

图9 碳交易价格关系曲线

Fig.9 Carbon transaction price relationship curve

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基于绿证-碳交易机制的风-火-蓄联合调峰控制策略

Peak Regulation Control Strategy of Wind-Thermal-Storage Combined Based on Green Certificate-Carbon Trading Mechanism

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