Voltage control of switched reluctance generator using grasshopper optimization algorithm

Abstract

<p>This paper presents<strong> </strong>a terminal voltage control approach of a Switched Reluctance Generator (SRG) based wind turbine generating systems. The control process is employed using a closed loop stimulated by the error between the reference voltage and the generator output voltage due to load and wind speed variation. This error feeds the tuned Proportional Integral controller (PI).</p><p>Tuning of PI controller by conventional analysis methods is difficult by the existence of a significant non-linearity. A novel strategy method is presented here to determine optimum PI controller parameters of voltage control of SRG using Grasshopper Optimization Algorithm (GOA). This proposed approach is a simple and effective algorithm that is able to solve many optimization problems. The simplicity of algorithm provides high quality tuning of optimal PI controller parameters. The integral of time weighted squared error (ITSE) is used as the performance of the proposed GOA-PI controller. The effectiveness of the proposed strategy is tested with the three-phase 12/8 structure SRG. Outcomes indicate the supremacy of GOA over Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO) in terms of control performance measures.</p>

Improvement of Fault Ride-Through Capability of Grid Connected Wind Turbine Based on a Switched Reluctance Generator Using a Dynamic Voltage Restorer

“…The stator of the SRG is comprised of a salient pole with a laminated core and concentrated windings. In addition, the rotor has a salient pole construction independent of windings or permanent magnets, resulting in cost savings and supply chain security, which are two important advantages [4,22]. There are many configurations for SRG.…”

“…Figure 2a depicts the three-phase SRG's structure for this paper, which has 12 poles on the stator and 8 poles on the rotor. Phase commutation and current regulation in 12/8 SRG are controlled by asymmetric bridge converters [4,23]. Half-bridge inverters, as depicted in Figure 2b, are a typical converter structure for this purpose.…”

“…Due to its high-power density, mechanical robustness, high fault tolerance, cheap production costs, performance at a wide range of speeds, and great efficiency, a switched reluctance generator (SRG) is studied for WT systems [4,5]. Based on SRG performance as the wind speed varies, this generator can be a suitable replacement and run more efficiently [5].…”

Integration of Switched Reluctance Generator in a Wind Energy Conversion System: An Overview of the State of the Art and Challenges

“…The experimental results show that this method can improve the output power to 642.53 W and the system efficiency to 69.43%. Due to the substantial non-linearity of SRGs, a strategy control method to estimate the optimal PI controller values of the SRG voltage control using the grasshopper optimization algorithm has been presented in [101].…”

Speed controller design for three-phase induction motor based on dynamic adjustment grasshopper optimization algorithm

“…The integral of time-multiplied square error (ITSE) is used as an objective function in this research work to design the proposed controller's parameters, and it's as follows [22]:…”