上海交通大学学报 ›› 2024, Vol. 58 ›› Issue (1): 11-18.doi: 10.16183/j.cnki.jsjtu.2022.130

• 新型电力系统与综合能源 • 上一篇    下一篇

考虑主体信用的配电网分布式绿电交易方法

吴清1, 贾乾罡2, 严正2(), 钟准1, 郭颂1, 李志勇1   

  1. 1.海南电网有限责任公司, 海口 570100
    2.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
  • 收稿日期:2022-04-27 修回日期:2022-09-06 接受日期:2022-09-22 出版日期:2024-01-28 发布日期:2024-01-16
  • 通讯作者: 严 正,教授,博士生导师;E-mail:yanz@sjtu.edu.cn.
  • 作者简介:吴 清(1971-),教授级高级工程师,从事电力系统自动化研究.
  • 基金资助:
    中国南方电网有限责任公司科技项目资助(自趋优智慧园区微网系统示范及实训平台研究与建设)(HNKJXM20180209)

Green Energy Trading in Distribution Network Considering Credit Value

WU Qing1, JIA Qiangang2, YAN Zheng2(), ZHONG Zhun1, GUO Song1, LI Zhiyong1   

  1. 1. Hainan Power Grid Co., Ltd., Haikou 570100, China
    2. Key Laboratory of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2022-04-27 Revised:2022-09-06 Accepted:2022-09-22 Online:2024-01-28 Published:2024-01-16

摘要:

发展分布式可再生能源是推动能源转型的关键手段,组织市场化交易能够促进分布式可再生能源生产和消纳.然而,可再生能源出力的不确定性使其容易在市场交割时出现偏差,进而为配电系统安全运行带来压力,但现有市场化交易机制仍难以激励市场主体主动减少偏差.为此,通过量化信用成本来引导分布式绿电的诚信交割行为.同时,考虑分布式绿电主体的策略性报价行为,建立考虑主体信用的分布式绿电市场化交易模型.然后,提出基于最优响应法的迭代算法来计算绿电市场的纳什均衡点.算例结果表明:所提市场机制能够以激励相容的方式引导用户的诚信行为,在降低交割偏差的同时提高绿电市场社会福利.

关键词: 分布式发电, 绿电交易, 信用值, 纳什均衡

Abstract:

Developing distributed renewable energy is vital to energy system transformation, while organizing market trading will promote the production and consumption of distributed renewable energy. However, the uncertainty of renewable energy output causes deviations during market delivery, which threats the security of distribution system operation. It is still difficult for existing market-based trading mechanisms to motivate market players to reduce the deviations. Therefore, this paper gives guidance to the honest delivery behaviors of distributed green energy producers by quantifying credit costs. Considering the strategic bidding behaviors of distributed green energy producers, it establishes a market model taking the credit costs into account. Then, it proposed an iterative algorithm based on the optimal response theory to calculate the Nash equilibria of the green energy market. The results of the case study show that the market mechanism proposed can give guidance to the integrity behavior of green energy producers in an incentive-compatible way, reducing the delivery deviation while improving social welfare.

Key words: distributed energy resource, green market trading, credit value, Nash equilibrium

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