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含平衡机约束条件的区间直流潮流模型与方法
作者:
作者单位:

1. 中国电力科学研究院有限公司, 北京市 100192; 2. 西安交通大学电气工程学院, 陕西省西安市 710049;3. 电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084;4. 田纳西大学电气工程与计算机科学系, Knoxville, TN 37996-2100, 美国; 5. 国网北京海淀供电公司, 北京市 100195

摘要:

传统区间潮流研究未考虑一些实际的物理限制,如平衡机出力约束、发电准稳态调整等,使得区间结果过于保守。为解决此问题,文中分别建立了含平衡机约束和准稳态调整约束的区间直流潮流模型,并采用优化的方法进行求解。所提出的模型能够扩展到含其他约束的区间直流潮流模型,具有一定通用性。采用9节点和IEEE 118节点系统对所建立的模型进行详细仿真分析,结果证明了方法的有效性,克服了传统无约束区间直流潮流的保守性。

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基金项目:

国家电网公司科技项目(XT71-16-019)

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作者简介:


Model and Method for Interval DC Power Flow Considering Constraints of Balancing Machine
Author:
Affiliation:

1. China Electric Power Research Institute, Beijing 100192, China;2. School of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, China;3. State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Tsinghua University, Beijing 100084, China; 4. Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996-2100, USA; 5. State Grid Beijing Haidian Electric Power Supply Company, Beijing 100195, China

Abstract:

The traditional interval power flow studies have ignored some actual physical constraints, such as output limit constraints of balancing machine, steady-state adjustments of generation, which therefore bring about conservative results. Interval DC power flow models with the consideration of the balancing machine constraints and steady-state adjustments are set up respectively. Furthermore, these problems are solved by optimization method. Moreover, the proposed method could be extended to other interval DC power flow problems including different constraints. Finally, the simulations of 9-bus and IEEE 118-bus system verify the effectiveness of the proposed method and the conservativeness of the traditional interval DC power flow model is reduced.

Keywords:

Foundation:
引用本文
[1]鲁广明,严剑峰,丁涛,等.含平衡机约束条件的区间直流潮流模型与方法[J].电力系统自动化,2018,42(20):80-85. DOI:10.7500/AEPS20171228009.
LU Guangming, YAN Jianfeng, DING Tao, et al. Model and Method for Interval DC Power Flow Considering Constraints of Balancing Machine[J]. Automation of Electric Power Systems, 2018, 42(20):80-85. DOI:10.7500/AEPS20171228009.
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  • 收稿日期:2017-12-28
  • 最后修改日期:2018-09-07
  • 录用日期:2018-04-17
  • 在线发布日期: 2018-09-04
  • 出版日期: