Abstract
Background: Focusing on the stability problems brought by integrated wind power and fuel cell, the objective of this paper is to analyze small-signal stability and improvement of a hybrid renewable energy system connected with Doubly-Fed Induction Generators (DFIGs) and Solid Oxide Fuel Cells (SOFCs) energy with the Static Series Synchronous Compensator (SSSC) and power-Oscillation Damper (POD).
Methods: For this purpose, a SSSC-POD controller is designed and the state-space representation of such a hybrid power system for modal analysis is developed. Then an approach of coordination and optimization of SSSC-POD parameters based on Genetic Algorithm (GA) and modal analysis is proposed to further improve the power system small-signal stability.
Results: Several designed scenarios, including changing the tie-line power, POD input signal, and SOFC power output, are considered in IEEE's two-area system to test the proposed method through small-disturbance eigenvalue analysis and time-domain simulations.
Conclusion: Simulation results demonstrate that the proposed approach can effectively suppress the local and inter-area oscillations and improve power system stability.
Keywords: small-signal stability, DFIG, SOFC, SSSC, POD, modal analysis, GA
Graphical Abstract
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