Low Voltage Ride-through Strategy of Photovoltaic Power Generation Based on State-dependent Riccati Euqation Technique
编号:295 访问权限:仅限参会人 更新:2020-11-11 12:10:24 浏览:87次 张贴报告

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摘要
In current photovoltaic transmission systems, low voltage ride-though is a main challenge that restricts the development of photovoltaic power generation. In this study, a power system with large photovoltaic (PV) power penetration is considered, and nonlinear control strategies for PV power stations are designed to guarantee the operation of PV power system and provide enough reactive power for the grid. First, the dynamic model of PV stations is constructed, and the control objective is to enhance the robustness of the system against grid faults. Second, the state-dependent Riccati equation (SDRE) technique is used to solve the robust control problem. The SDRE technique reconstructs a nonlinear system to a linear-like structure, and controls the system through solving an algebraic Riccati equation (ARE)-like approach with state-dependent coefficient (SDC) matrices. Comparisons with conventional PI controllers are performed, and better control performance is achieved through the proposed strategy.
关键词
Low voltage ride-though; Photovoltaic power station; Reactive power support; State-Dependent Riccati equation;
报告人
Boyu Qin
The School of Electrical Engineering, Xi’an Jiaotong University

稿件作者
Chao Huo Northwest Branch of State Grid Corporation of China
Ruowei Zhang The School of Electrical Engineering, Xi’an Jiaotong University
Xianbo Ke Northwest Branch of State Grid Corporation of China
Ping Wei Northwest Branch of State Grid Corporation of China
Zhizhen Ma Beijing Electric Power Economic Research Institute Co., Ltd
Boyu Qin The School of Electrical Engineering, Xi’an Jiaotong University
Wanliang Fang The School of Electrical Engineering, Xi’an Jiaotong University
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重要日期
  • 会议日期

    10月21日

    2019

    10月24日

    2019

  • 10月13日 2019

    摘要录用通知日期

  • 10月13日 2019

    初稿截稿日期

  • 10月14日 2019

    初稿录用通知日期

  • 10月24日 2019

    注册截止日期

  • 10月29日 2019

    终稿截稿日期

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