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基于潮流双向追踪的稳态电网利润分布计算方法
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1. 华北电力大学电气与电子工程学院, 北京市 102206; 2. 国网四川省电力有限公司成都供电公司, 四川省成都市 610041

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Calculation Method for Profit Distribution of Steady-state Power Grid Based on Bi-directional Power Flow Tracing
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Affiliation:

1. School of Electrical & Electronic Engineering, North China Electric Power University, Beijing 102206, China;2. Chengdu Power Supply Company of State Grid Sichuan Electric Power Co., Ltd., Chengdu 610041, China

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    摘要:

    随着电力改革的深化,各市场主体希望直观、细致地了解电网的经济分布。为精确定量分析电网各部分的盈利情况,给出了一种基于潮流双向追踪的稳态电网利润分布计算方法。首先,基于功率分量理论和支路等效变换,提出一种适用于任意电网的双向追踪方法,该方法能给出电源供能网络和负荷吸能网络,此为利润计算的物理基础。然后,依据费用守恒原则,将上述双向追踪结果应用于经济核算中,建立电网经济分布模型,求得利润分布。算例采用IEEE 39节点系统并结合北京市标杆电价对双向追踪方法和利润分布求解的有效性进行了验证。

    Abstract:

    With the deepening of power reform, various market players want to understand the economic distribution of power grid intuitively and meticulously. In order to accurately and quantitatively analyze the profitability of each part in power grid, calculation method for profit distribution of steady-state power grid based on bi-directional power flow tracing is presented. Firstly, based on the power component theory and branch equivalent transformation, a bi-directional power flow tracing method suitable for any network is proposed. This method could provide the power-supply networks and the load-absorption networks, which are the physical basis for profit calculation. Then, based on the principle of cost conservation, the results of the bi-directional power flow tracing method are applied to the economic accounting. Economic distribution models are established, thus the profit distribution could be calculated. The effectiveness of the method and profit distribution solution is verified based on the IEEE 39 bus system and the benchmarking electricity prices in Beijing.

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引用本文

苏洪玉,鲍海.基于潮流双向追踪的稳态电网利润分布计算方法[J].电力系统自动化,2019,43(21):118-124. DOI:10.7500/AEPS20180111014.
SU Hongyu,BAO Hai.Calculation Method for Profit Distribution of Steady-state Power Grid Based on Bi-directional Power Flow Tracing[J].Automation of Electric Power Systems,2019,43(21):118-124. DOI:10.7500/AEPS20180111014.

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  • 收稿日期:2018-01-11
  • 最后修改日期:2019-09-10
  • 录用日期:2019-05-28
  • 在线发布日期: 2019-08-27
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