上海交通大学学报

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2024 , Vol. 58 >Issue 12: 1868 - 1880

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.149

新型电力系统与综合能源

计及风电不确定性及碳交易的储能参与电力市场竞价策略

  • 张宪文 ,
  • 殷高文 ,
  • 沈非凡 ,
  • 黄晟 ,
  • 魏娟
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  • 1.临朐县重大项目服务中心,山东 潍坊 262600
    2.湖南大学 电气与信息工程学院,长沙 410082
张宪文(1970—),高级工程师,现主要从事电力系统运行优化和电力市场研究.
沈非凡,助理教授;E-mail:shenfeifan@hnu.edu.cn.

收稿日期: 2023-04-20

  修回日期: 2023-06-29

  录用日期: 2023-06-30

  网络出版日期: 2023-07-24

基金资助

湖南省制造业关键产品“揭榜挂帅”项目(2022GXGG019);湖南省重点研发计划项目(2021GK2019);湖南省科技创新计划资助(2021RC2046)

收起

Bidding Strategies for Energy Storage Participation in Electricity Market Considering Uncertainty of Wind Power and Carbon Trading

  • ZHANG Xianwen ,
  • YIN Gaowen ,
  • SHEN Feifan ,
  • HUANG Sheng ,
  • WEI Juan
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  • 1. Linqu County Major Project Service Center, Weifang 262600, Shandong, China
    2. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China

Received date: 2023-04-20

  Revised date: 2023-06-29

  Accepted date: 2023-06-30

  Online published: 2023-07-24

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摘要

电源侧储能是促进新能源消纳、践行“双碳”战略的有力抓手.针对电源侧储能作为新兴主体参与竞争性联合电力市场竞价机制尚不完善的问题,从电源侧储能作为价格制定者参与电力现货市场的博弈关系出发,考虑风电出力的不确定性以及碳交易引入下电力市场的耦合性,提出一种电源侧储能参与电能量及备用市场多场景应用的竞标博弈双层优化模型.上层电源侧储能作为领导者以自身综合收益最大为目标进行投标决策,下层电力交易中心作为追随者以社会购电成本及平衡调节成本最小完成市场出清.利用MATLAB仿真验证了所提模型在优化电源侧储能参与电力市场多场景应用竞标、提升储能综合运行收益方面的合理性和有效性.

关键词： 电源侧储能; 电力市场; 风电不确定性; 碳交易; 竞价策略; 双层优化模型

本文引用格式

张宪文 , 殷高文 , 沈非凡 , 黄晟 , 魏娟 . 计及风电不确定性及碳交易的储能参与电力市场竞价策略[J]. 上海交通大学学报, 2024 , 58(12) : 1868 -1880 . DOI: 10.16183/j.cnki.jsjtu.2023.149

Abstract

Power side energy storage is a powerful tool for promoting the consumption of new energy and implementing the “dual carbon” strategy. In view of the imperfection of the bidding mechanism of the power side energy storage as an emerging entity participating in the competitive joint electricity market, and starting from the game relationship of the power side energy storage as a price maker participating in the spot electricity market, a bidding game two-level optimization model of the power side energy storage participating in the multi scenario application of the electric energy and reserve ancillary service market is proposed, considering the uncertainty of wind power output and the coupling of the electricity market with the introduction of carbon trading. The energy storage at the upper power supply side, as a leader, makes bidding decisions with the goal of maximizing its own comprehensive income, while the lower power trading center as a follower completes market clearing with the minimum cost of social power purchase and balance regulation. The MATLAB simulation verifies the rationality and effectiveness of the proposed model in optimizing the participation of power side energy storage in multi scenario application bidding in the electricity market and improving the comprehensive operating income of the energy storage.

Key words： power side energy storage; electricity market; uncertainty of wind power; carbon trading; bidding strategy; two-level optimization model

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