Optimal Placement of Phasor Measurement Unit in Active Distribution Network considering Uncertainty and Soft Open Point
编号:110 访问权限:仅限参会人 更新:2023-11-20 13:45:44 浏览:517次 口头报告

报告开始:2023年12月09日 11:00(Asia/Shanghai)

报告时间:15min

所在会场:[S4] Power system and automation [S4] Power system and automation

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摘要

State estimation provides reliable status information supporting accurate dispatch of complicated active distribution systems. However, there are many buses in the distribution system, and state estimation can only be accomplished with an insufficient number of phase measurement units, with little confidence of accuracy. Moreover, the voltage instability by distributed generation uncertainties and power flow changes by soft open points bring new challenges to state estimation. Therefore, an optimal phasor measurement unit placement model considering economy, bus voltage out-of-limit weight and state estimation accuracy is investigated in the paper. First, Monte Carlo simulation calculates the bus voltage out-of-limit weights to approximate distribution generation uncertainties. Then, a virtual bus representing soft open point is introduced, displaying power flow changes with its own control signal in state estimation. Finally, placement locations are obtained from new optimization objective and constraints. Simulations and analyses on the modified IEEE 33-bus distribution network validate the proposed model.

关键词
state estimation,active distribution network,optimal placement,phasor measurement unit,soft open point
报告人
Ruoyan Wang
Master Student State Key Laboratory of Internet of Things for Smart City (University of Macau)

稿件作者
Ruoyan Wang State Key Laboratory of Internet of Things for Smart City (University of Macau)
Qilin Hou State Key Laboratory of Internet of Things for Smart City (University of Macau)
Ningyi Dai State Key Laboratory of Internet of Things for Smart City (University of Macau);Zhuhai UM Science & Technology Research Institute
Peng Wang State Key Laboratory of Internet of Things for Smart City (University of Macau)
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重要日期
  • 会议日期

    12月08日

    2023

    12月10日

    2023

  • 11月01日 2023

    初稿截稿日期

  • 12月10日 2023

    注册截止日期

主办单位
IEEE IAS
承办单位
Southwest Jiaotong University (SWJTU)
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