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Home > Archive>Volume 46, Issue 8, 2023 >20-31. DOI:10.11835/j.issn.1000-582X.2021.222
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Annual power generation plan optimization model considering deep peak regulation auxiliary services and multiple typical days
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1.Chongqing Electric Power Trading Center Co., Ltd., Chongqing 400013, P. R. China;2.State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, P. R. China

Clc Number:

TM732

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    Abstract:

    In the context of the deep peak regulation auxiliary service market, the costs of unit peak regulation and auxiliary service fees have a significant impact on power generation companies. To address this issue, this paper proposes an optimization model for annual generation plan that takes into account deep peak regulation auxiliary services and multiple typical days. To achieve effective scene acquisition, a typical scene clustering method with considering the coupling of load and wind power is proposed, thereby effectively solving the simulation problem of multiple typical daily scenes in a month. By considering the deep peak regulation cost, auxiliary services compensation, benefit from electricity sales and carbon trading cost, the model established the income constraints of generation companies participating in the auxiliary service market to ensure profitability for market entities. As the model is a nonlinear mixed integer programming problem, this paper uses linearization strategy and CPLEX solver to achieve an efficient solution. Finally, simulation analysis is conducted using a modified example system, verifying the effectiveness of the proposed model.

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张爱枫,刘或让,王勇,艾林,周颖,蒋振涌,桑福敏,林祖贵,颜伟.计及深度调峰辅助服务与多典型日的年度发电计划优化模型[J].重庆大学学报,2023,46(8):20~31

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  • Received:October 28,2021
  • Online: August 25,2023
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