The utilization of an impedance network in power electronic applications overcame traditional two‐stage converters' drawbacks, including a dc‐dc and dc‐ac stage. A well‐designed impedance‐based converter shuns the necessity of multiple network stages that, in turn, enhance operational performance and reliability. The split source inverter (SSI) belongs to such a single‐stage system that consists of an impedance network with a voltage source inverter. The work's primary purpose is to explore the performance of grid‐connected SSI in the application of wind energy systems. A novel peak power tracking controller is proposed for the SSI‐based wind energy systems for tracking the maximum power available in the wind. The grid‐side controller's current regulator is modified to sense the intermittent wind's perturbation and to regulate the SSI output current. The theoretical analysis is validated by simulation, and different case studies are analyzed by considering the mutual effects of SSI and variable wind speed. A laboratory prototype is designed for the experimental investigation of the SSI that consists of a 5‐kVA three‐phase grid‐tied SSI and wind emulator prototype. A field‐programmable gate array (Xilinx) is used to program the control algorithm. Different test cases are analyzed experimentally to prove the robustness of the proposed controller.
Summary This paper presents hybrid photovoltaic (PV)‐wind‐battery energy storage network tied to three‐phase utility grid side inverter using fuzzy logic proportional integral derivative‐improved second‐order generalized integrator‐quadrature signal generator‐phase locked loop (FLPID‐ISOGI‐PLL) for power quality enhancement at the consumer side terminals. An advanced ISOGI‐PLL control strategy is implemented to separate the fundamental constituent of each phase load current without sensing other phase currents, which makes phase independent and reliable. It has several characteristics, such as improved hybrid system (HS) power penetration, load sharing, and power factor correction. Additionally, FLPID adaptive voltage controller is incorporated in the presented scheme to enhance dynamic operation of the system and also keeping the power balance between the dc and ac sides by maintaining the dc bus voltage. Moreover, the photovoltaic system's feed‐forward constituent is incorporated in the proposed technique, which improves the system dynamic performance and minimizes oscillations in grid currents. The outcomes of the advanced control strategy are found adequate for enhancing active power filter (APF) performance at the consumer side terminals under several operating conditions. The proposed control technique is computationally analyzed by simulating the system through MATLAB/SIMULINK under steady state, dynamic, load removed, and unbalanced grid voltage conditions. The competency of an advanced control approach is examined with hardware‐in‐loop (HIL) co‐simulation using FPGA Virtex‐7 VC‐707 via very high speed integrated circuit hardware description language (VHDL) code generation. Finally, the simulation outcomes are verified through a real‐time prototype laboratory platform using FPGA Virtex‐7 VC‐707 evaluation kit, and the total harmonic distortion (THD) analysis of injected grid currents is tabulated under different operating scenarios and found good within the IEEE‐519 standard limits.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.