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目标级联分析法在完全竞争发电市场迭代竞价机制中的应用
作者:
作者单位:

1.华南理工大学电力学院,广东省 广州市 510640;2.中国南方电网广东电网广州供电局,广东省 广州市 510600

作者简介:

谢敏(1978—),女,博士,副教授,主要研究方向:电力系统优化运行与控制。E-mail:minxie@scut.edu.cn
胡昕彤(1994—),女,通信作者,硕士研究生,主要研究方向:电力系统优化运行与控制。E-mail:894685795@qq.com
刘明波(1964—),男,博士,教授,主要研究方向:电力系统优化运行与控制。E-mail:epmbliu@scut.edu.cn

通讯作者:

基金项目:

广东省自然科学基金自由申请项目(2018A0303130134)。


Application of Analytical Target Cascading in Iterative Bidding Mechanism of Complete Competitive Power Generation Market
Author:
Affiliation:

1.School of Electric Power, South China University of Technology, Guangzhou 510640, China;2.Guangzhou Power Supply Bureau of Guangdong Power Grid of China Southern Power Grid, Guangzhou 510600, China

Fund Project:

This work is supported by Free Application Project of Guangdong Provincial Natural Science Foundation of China (No. 2018A0303130134).

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    摘要:

    采用迭代竞价机制可以促进发电商经济、合理地上报电价和组织生产,同时能赋予购买者议价的能力,促使电力市场协调、高效地运作。但现有的迭代竞价方法主要采用按报价支付或按统一边际出清价进行结算的方式,很少采用按节点边际电价进行结算,并且可能出现迭代次数过多而难以应用的情况。为此,提出了一种基于目标级联分析理论的发电市场迭代竞价模型。将发电商与独立系统运营商作为不同的利益主体,分别以生产效益最优和购电成本最小为目标,通过发电功率进行联络以实现2个优化模型的解耦与并行求解。该模型考虑了网络约束的影响,能有效激励发电商上报其真实成本,有利于社会资源的优化配置。基于IEEE 39节点系统和IEEE 118节点系统的算例表明,目标级联分析法应用于完全竞争的发电市场迭代竞价机制可行,且收敛性和计算效率都能满足要求。

    Abstract:

    Iterative bidding mechanism can promote power generators to quote electricity price economically and rationally and organize production. It can also give purchasers the ability to negotiate, and promote the coordinated and efficient operation of the power market. However, current iterative bidding methods mainly settle accounts according to the quoted price or the uniform marginal clearing price, but seldom according to the locational marginal price of nodes. There may be also too many iterations to be applied. Therefore, an iterative bidding model for power market based on analytical target cascading theory is proposed. Power generators and independent system operators are regarded as different stakeholders, and their objectives are optimizing the production efficiency and minimizing the cost of purchasing electricity, respectively. Coupling and parallel solution of the two optimized models are realized by connecting through generation power. Considering the influence of network constraints, the model can effectively motivate generators to report their real costs and is conducive to the optimal allocation of social resources. Examples of IEEE 39-bus system and IEEE 118-bus system show that analytical target cascading can be applied to the iterative bidding mechanism of fully competitive power generation market, and the convergence and computational efficiency can meet the requirements.

    表 2 目标级联分析系统与子系统各自的目标函数值Table 2 Objective function values of ATC system and subsystem
    表 1 生产成本函数系数Table 1 Coefficients of production cost functions
    图1 多发电商迭代竞价结构Fig.1 Iterative bidding structure with multiple power generators
    图2 目标级联分析法原理Fig.2 Principle of ATC
    图3 基于目标级联分析法的发电市场迭代竞价机制流程图Fig.3 Flow chart of iterative bidding mechanism in power market based on ATC
    图4 各机组调度出力曲线Fig.4 Power output curves of each unit
    图5 市场出清电价曲线Fig.5 Curves of market clearing price
    图6 迭代收敛曲线Fig.6 Iterative convergence curves
    图 平均日负荷曲线Fig. Average daily load curve
    图 节点边际电价曲线Fig. Locational marginal price curve
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引用本文

谢敏,胡昕彤,刘明波.目标级联分析法在完全竞争发电市场迭代竞价机制中的应用[J].电力系统自动化,2020,44(6):106-112. DOI:10.7500/AEPS20190304008.
XIE Min,HU Xintong,LIU Mingbo.Application of Analytical Target Cascading in Iterative Bidding Mechanism of Complete Competitive Power Generation Market[J].Automation of Electric Power Systems,2020,44(6):106-112. DOI:10.7500/AEPS20190304008.

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  • 收稿日期:2019-03-04
  • 最后修改日期:2019-08-17
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  • 在线发布日期: 2020-03-21
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