The need to incorporate renewable energy sources in the present grid due to energy demand and environmental issues has led the power industry to face new challenges and unexpected transformations. This new epitome to build a flexible power system with coordination of increasing intermittent renewable energy resources and delivering power efficiently with reliability demand new technologies. This work investigates the coupling of static synchronous compensator (STATCOM) with the most exclusive superconducting magnetic energy storage (SMES) device designed for the improved functioning of a grid network that is incorporated with a wind farm. The widespread integration of intermittent wind generators in the grid is disturbing its stability and reliability. The SMES is interlinked with the grid system via a power electronic interface and chopper for the energy exchange. This work suggests STATCOM as a power electronic interface and a three‐level chopper configuration with novel control scheme for enhancing the functioning of the test system. This integrated controller (STAT‐SMES) has been analyzed for grid‐connected doubly fed induction generator wind farm under different fault conditions and time durations. The results have been compared without any controller, with STATCOM only, and with the proposed STAT‐SMES controller using MATLAB. The simulation outcomes prove that coupled control scheme is effective and better in handling wind farm integration issues.
The rising number of intermittent wind energy-based generation systems in power systems affects the grid system’s stability and reliability. These wind generators reduce the inertia of the system, thus making the system sensitive to grid disturbances. Due to their unique features, the Doubly Fed Induction Generators (DFIG) wind generators are being connected at a large scale. The Energy Storage Device (ESD) offers a viable solution to the integration issues caused by variable-natured renewable energy sources. In this work, the Static Compensator (STATCOM) is attached to the Superconducting Magnetic Energy Storage (SMES) technology to strengthen the wind farm integrated grid system for better performance. The SMES is interlinked with the grid system via a power electronic interface (PEI) and chopper for the energy exchange. This work examines the functioning of the proposed STATCOM as PEI and three-level chopper control circuit based on fuzzy logic for the SMES system. The fuzzy logic based SMES with STATCOM (STAT-SMES) is proposed for a DFIG-based integrated system under different fault conditions. This coupled controller can compensate for both real and reactive powers, improve voltage stability, and can damp power oscillations at a fast rate. The results have been compared without any controller, with STATCOM only, and with the proposed, fuzzy based SMES coupled to STATCOM using MATLAB. The simulation outcomes prove that coupling SMES to STATCOM is effective in handling wind farm integration issues in a better way than STATCOM.
The Superconducting Magnetic Energy Storage (SMES) device is gaining significance in utility applications, as it can handle high power values with a fast rate of exchanging energy at high efficiency. The large-scale invasion of renewable energy systems into grid give rise to many integration issues. This SMES can handle these issues due to its various features. In this study the role of SMES in tackling stability issues due to presence of wind generation farms is investigated. The Doubly Fed Induction Generators (DFIG) based wind farms are most popular due to their distinctive advantages. Their intermittent output power and sensitivity to the grid disturbances gives rise to stability issues. These problems require innovative and advanced control strategies. Here coupling of SMES with Static Compensator (STATCOM) (STAT-SMES) has been suggested for boosting the transient stability of the hybrid large-scale DFIG and Synchronous Generator (SG) system. For investigation different faults and fast speed wind variation are considered. This coupled controller can compensate the real and reactive powers along with fast damping of oscillations under test conditions of entire system. The chopper link of SMES is controlled using Fuzzy based intelligent system and Proportional Integral (PI) controller. The connection of SMES to STATCOM shows better damping and improvement in all variables. The comparative study among Fuzzy based STAT-SMES, PI based STAT-SMES, only STATCOM, and without any controller is performed using MATLAB/Simulink. The simulation outcomes indicate that proposed Fuzzy based controller is better than other control systems in different test conditions.
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