中国电力 ›› 2015, Vol. 48 ›› Issue (7): 76-81.DOI: 10.11930.2015.7.76

• 电力规划 • 上一篇    下一篇

市场环境下考虑风险成本的启发式输电网规划

娄素华1,王亚娟2,卢斯煜1,吴耀武1   

  1. 1. 华中科技大学 强电磁工程与新技术国家重点实验室,湖北 武汉 430074;
    2. 湖北省电力公司,湖北 武汉 430077
  • 收稿日期:2015-03-25 出版日期:2015-07-25 发布日期:2015-11-26
  • 作者简介:娄素华(1974—),女,辽宁锦州人,博士,副教授,从事电力系统规划与可靠性,电力技术经济研究。E-mail: shlou@mail.hust.edu.cn
  • 基金资助:
    国家电网公司大电网重大专项资助项目(SGCC-MPLG026-2012);国家自然科学基金资助项目(51207062)

Research on Transmission Network Planning Model Based on Risk Cost under Market Environment

LOU Suhua1, WANG Yajuan2, LU Siyu1, WU Yaowu1   

  1. 1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;
    2. Hubei Electric Power Company, Wuhan 430077, China
  • Received:2015-03-25 Online:2015-07-25 Published:2015-11-26

摘要: 市场经济环境下电网公司更加重视电网投资的经济性问题。提出了一种考虑风险成本的输电网规划模型,该模型以投资等额年值、运行成本和系统运行的过负荷风险最小作为目标函数。采用N-1故障情况下的过负荷风险成本对传统规划模型中的硬性安全约束进行软化,实现了输电网的经济效益需求与用户可靠性需求的有机结合。采用强迫切负荷经济损失最小为严重度函数,建立了一种与输电网规划问题相适宜的过负荷风险评估公式。采用改进的Garve6节点系统进行了算例测试,结果分析证明了模型的合理性。

关键词: 输电网规划, 风险评估, 严重度函数, 过负荷风险成本, 市场环境

Abstract: Under the market economy, more attention is paid to the economic efficiency of power grid investment by the power utility company. In this paper, a novel transmission network planning model is proposed with consideration of the risk cost, in which the equivalent annual value of investment, the operating cost and the minimum overload risk of system operation are taken as the objective functions. The imperative constraint condition, which is represented by “N-1” constraint in conventional model, is replaced by the overload risk cost of power system. Accordingly, the transmission company can make a compromise between the reliability and economics. In order to obtain the overload risk cost, an overload risk evaluation formula is given by calculating the minimal the economic cost of load shedding in case of the single failure of transmission network. Case studies on a Garve 6-bus system demonstrate the effectiveness of the proposed model.

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