Abstract

With the continuous development of wind power capacity, a large number of wind turbines connected by power electronic devices make the system inertia lower, which leads to the problem of system frequency stability degradation. The virtual synchronous generator (VSG) control can make wind turbines possess inertia and damping. However, the stochastic dynamic behavior of wind generation results in the stochastic changing of operating condition; this paper presents an adaptive subsynchronous oscillation (SSO) damping control method for the wind generation with VSG control. Firstly, the small signal model of the permanent magnet synchronous generator (PMSG) with VSG is built, and the model of state space is derived and built. The active power of PMSG is selected as the variable parameter vector to establish a polytopic linear variable parameter system model. Then, based on the hybrid H2/H∞ control method, each vertex state feedback matrix is solved by linear matrix inequality, and a subsynchronous oscillation adaptive damping controller with polytope is obtained. Finally, the 4-machine 2-area system connected to two PMSGs with VSG control is used as the test system for time domain simulation. The simulation results demonstrate that the LPV based adaptive damping controller could provide enough damping under the circumstances of wider changes of wind power outputs.

Highlights

  • Resources shortages in the world are becoming more dominant, and the development of renewable energy generation technologies is extremely serious

  • When the traditional power system is in the dynamic transient process, the inertia of a synchronous generator could provide enough damping to prevent the deterioration of the power system

  • For the permanent magnet synchronous generator (PMSG) integrated system with virtual synchronous generator (VSG) control, this paper proposes a sub-synchronous oscillation adaptive damping control method

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Summary

Introduction

Resources shortages in the world are becoming more dominant, and the development of renewable energy generation technologies is extremely serious. Many experts and scholars have achieved fruitful research results in the grid adaptability, control stability and system application of virtual synchronous generator technology [11,12,13,14]. Because of the intermittent and strong random fluctuation of wind power, the random drift behavior of the operating condition of the renewable energy power system in the operating space makes the traditional controller design, based on the typical operating conditions, show the defect that the adaptability is obviously insufficient, and it is difficult to create wind power. The variable-gain theory based on the linear variable parameter system is used to effectively track the random drift behavior of the wind integrated system, so as to realize the adaptive damping control strategy. SSO control by employing a polytopic LPV system can effectively suppress the SSO mode in the case of the fluctuating wind output

Mathematical Model of PMSG
Dynamic Model of VSG Control
The Linearization State Space
LPV Based Adaptive Damping Control Scheme
LPV-Based Gain Schedule Control
Test System
Damping Control
Simulation and Results
Eigenvalues of SSO for open-loop system for Vertex
Findings
Conclusions
Discussion
Full Text
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