运筹与管理 ›› 2014, Vol. 23 ›› Issue (1): 108-115.

• 理论分析与方法探讨 • 上一篇    下一篇

智能电网下考虑风险的供电企业购电优化模型

李鹏, 李存斌, 祁之强   

  1. 华北电力大学 经济与管理学院,北京 102206
  • 收稿日期:2013-01-17 出版日期:2014-01-25
  • 作者简介:李鹏(1985-),男,山西长治人,博士研究生,研究方向:智能电网运营风险管理,信息管理与风险决策;李存斌(1959-),男,内蒙古兴和人,教授,研究方向:信息管理与决策分析,风险管理。
  • 基金资助:
    国家自然科学基金资助项目(71271084,71071054);中央高校基本科研业务费专项资金资助项目(13XS25)

Power Supply Enterprises Purchase'Optimization Model Considering Risk in Smart Grid

LI Peng, LI Cun-bin, QI Zhi-qiang   

  1. School of Economics and Management, North China Electric Power University, Beijing 102206, China
  • Received:2013-01-17 Online:2014-01-25

摘要: 针对智能电网带给供电企业购电决策的影响,提出了一种考虑风险的购电优化决策方法。智能电网建设并开展运营,发电侧考虑接纳更多的可再生能源发电,用电侧智能用电设备的使用导致主动负荷的出现等,这一系列变化给智能电网环境下供电企业购电决策带来一定程度的风险。首先,考虑了智能电网下负荷与风电出力不确定性给供电企业经营带来的风险,采用风险元传递理论与多目标规划理论,建立智能电网购电优化模型。然后,提出采用约束多目标粒子群优化算法(CMOPSO)对模型进行求解思路;最后,算例说明该模型的可行性,研究成果为我国智能电网运营风险管理提供新方法、新思路。

关键词: 风险管理, 购电优化, 风险元传递, 智能电网, 供电企业

Abstract: For the influence of power supply enterprises'electricity purchase decision brought by smart grid, a method of power purchase optimization decision considering the risk is proposed. The construction and operation of smart grid make some new changes, for example, more renewable energy generation to penetrate in generation side, rapid increase in smart equipment and active load appearance in user side. Those changes have some effect on electricity purchase decision of the power supply enterprises. First, on the impact on the power supply enterprises because of the uncertainty of wind generation output and the load, by the theory of risk element transmission and the theory of multiple objective programming, an optimization model about electricity purchasing under the smart grid is proposed. Then the constrained multi-objective particle swarm optimization algorithm(CMOPSO)method has been adopted to calculate the model. Finally, a numerical example shows the feasibility of the proposed model. The study is helpful to revealing the mechanism of power company electricity purchase risk occurrence in smart grid, and provides a new method or thought for the research of smart grid operation risk management.

Key words: risk management, electricity purchase optimization, risk element transmission, smart grid, power supply enterprises

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