中国电力 ›› 2023, Vol. 56 ›› Issue (12): 199-205.DOI: 10.11930/j.issn.1004-9649.202309095

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考虑碳交易成本的输储多阶段协调规划方法

李强1(), 王尧1(), 胡迎迎1, 郑晓明1, 张琳娜2, 荆永明1   

  1. 1. 国网山西省电力公司经济技术研究院,山西 太原 030021
    2. 国网山西省电力公司,山西 太原 030021
  • 收稿日期:2023-09-21 出版日期:2023-12-28 发布日期:2023-12-28
  • 作者简介:李强(1977—),男,通信作者,高级工程师,从事电力系统规划研究,E-mail: victorlq@163.com
    王尧(1990—),男,博士,高级工程师,从事电力市场机制设计研究,E-mail: 1742140863@qq.com
  • 基金资助:
    国网山西省电力有限公司科技项目(520533220002)。

Multi-Stage Coordinated Planning Method for Transmission Network and Energy Storage Considering Carbon Trading Cost

Qiang LI1(), Yao WANG1(), Yingying HU1, Xiaoming ZHENG1, Linna ZHANG2, Yongming JING1   

  1. 1. Economic and Technological Research Institute, State Grid Shanxi Electric Power Company, Taiyuan 030021, China
    2. State Grid Shanxi Electric Power Company, Taiyuan 030021, China
  • Received:2023-09-21 Online:2023-12-28 Published:2023-12-28
  • Supported by:
    This work is supported by Science and Technology Project of State Grid Shanxi Electric Power Company (No.520533220002)

摘要:

输电网和储能协调发展是构建新型电力系统的重要途径。传统的输储协调规划往往忽略了风电等新能源出力聚类场景概率的误差,导则规划结果保守。首先通过场景聚类将年周期下的负荷需求、风电出力生成典型场景集,并考虑场景概率的误差,建立基于1-范数和∞-范数的场景概率分布不确定集合;然后,建立以输电线路投资成本、储能投资成本、运行成本、碳交易成本为综合目标的输储多阶段协调分布鲁棒规划模型,采用列与约束生成(column-and-constraint generation,C&CG)算法将输储多阶段协调分布鲁棒规划模型转化为主子问题迭代求解;最后,在改进的IEEE-30节点系统上验证了所提输储多阶段协调规划方法的优越性。

关键词: 阶梯碳交易, 输电网, 多阶段协调, 列与生成算法, 分布鲁棒优化

Abstract:

The coordinated development of transmission network and energy storage is an important way to build a new type of power system. Traditional transmission and storage coordination planning often overlooks the error in the probability of clustering new energy output scenarios such as wind power, and the planning results are conservative. For this reason, this article first generates a typical scenario set by clustering the load demand and wind farm output under the annual cycle, and considers the error of scenario probability to establish an uncertain set of scenario probability distribution based on 1-norm and ∞ norm. Then, a multi-stage coordinated distributed robust programming model for transmission and storage is established with comprehensive objectives of transmission line investment cost, energy storage investment cost, operation cost, and carbon trading cost. The column and constraint generation (C&CG) algorithm is used to transform the multi-stage coordinated distributed robust programming model for transmission and storage into an iterative solution of the main and sub problems. The superiority of the proposed multi-stage coordinated planning method for transmission and storage was verified on an improved IEEE-30 node system.

Key words: ladder-type carbon trading, transmission network, multi-stage coordinated planning, columns and generation algorithm, distributionally robust optimization