746 / 2019-04-26 22:49:27
Low Voltage Ride-through Strategy of Photovoltaic Power Generation Based on State-dependent Riccati Euqation Technique
Low voltage ride-though; Photovoltaic power station; Reactive power support; State-Dependent Riccati equation;
Draft Accepted
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
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.
Important Date
  • Conference Date

    Oct 21

    2019

    to

    Oct 24

    2019

  • Oct 13 2019

    Abstract Notification of Acceptance

  • Oct 13 2019

    Draft paper submission deadline

  • Oct 14 2019

    Draft Paper Acceptance Notification

  • Oct 24 2019

    Registration deadline

  • Oct 29 2019

    Final Paper Deadline

Organized By
Xi'an Jiaotong University
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