Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Coordinated Robust PID-based Damping Control of Permanent Magnet Synchronous Generators for Low-frequency Oscillations Considering Power System Operational Uncertainties
Author:
Affiliation:

1.College of Electrical Engineering, Zhejiang University, Hangzhou 310058, China;2.The Hong Kong Polytechnic University, Hong Kong, China;3.State Grid Zhejiang Electric Power Company, Hangzhou 310007, China

Fund Project:

This work was jointly supported by the Major Program of National Natural Science Foundation of China (No. U2166601) and the General Program of National Natural Science Foundation of China (No. 52077196).

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    Abstract:

    In recent years, with the growth of wind energy resources, the capability of wind farms to damp low-frequency oscillations (LFOs) has provided a notable advantage for the stability enhancement of the modern power grid. Meanwhile, owing to variations in the power system operating point (OP), the damping characteristics of LFOs may be affected adversely. In this respect, this paper presents a coordinated robust proportional-integral-derivative (PID) based damping control approach for permanent magnet synchronous generators (PMSGs) to effectively stabilize LFOs, while considering power system operational uncertainties in the form of a polytopic model constructed by linearizing the power system under a given set of OPs. The proposed approach works by modulating the DC-link voltage control loop of the grid-side converter (GSC) via a supplementary PID controller, which is synthesized by transforming the design problem into H-infinity static output feedback (SOF) control methodology. The solution of H-infinity SOF control problem involves satisfying linear matrix inequality (LMI) constraints based on the parameter-dependent Lyapunov function to ensure asymptotic stability such that the minimal H-infinity performance objective is simultaneously accomplished for the entire polytope. The coordinated damping controllers for the multiple wind farms are then designed sequentially by using the proposed approach. Eigenvalue analysis confirms the improved damping characteristics of the closed-loop system for several representative OPs. Afterward, the simulation results, including the performance comparison with existing approaches, validate the higher robustness of the proposed approach for a wide range of operating scenarios.

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History
  • Received:May 24,2023
  • Revised:July 12,2023
  • Adopted:
  • Online: July 30,2024
  • Published: