首页|Coordinated Robust PID-based Damping Control of Permanent Magnet Synchronous Generators for Low-frequency Oscillations Considering Power System Operational Uncertainties
Coordinated Robust PID-based Damping Control of Permanent Magnet Synchronous Generators for Low-frequency Oscillations Considering Power System Operational Uncertainties
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In recent years,with the growth of wind energy re-sources,the capability of wind farms to damp low-frequency os-cillations(LFOs)has provided a notable advantage for the sta-bility enhancement of the modern power grid.Meanwhile,ow-ing 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 propor-tional-integral-derivative(PID)based damping control ap-proach for permanent magnet synchronous generators(PMSGs)to effectively stabilize LFOs,while considering power system op-erational uncertainties in the form of a polytopic model con-structed 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 sup-plementary PID controller,which is synthesized by transform-ing the design problem into H-infinity static output feedback(SOF)control methodology.The solution of H-infinity SOF con-trol problem involves satisfying linear matrix inequality(LMI)constraints based on the parameter-dependent Lyapunov func-tion to ensure asymptotic stability such that the minimal H-in-finity 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 im-proved damping characteristics of the closed-loop system for several representative OPs.Afterward,the simulation results,in-cluding the performance comparison with existing approaches,validate the higher robustness of the proposed approach for a wide range of operating scenarios.