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Go to Editorial ManagerAs demand for sustainable energy continues to grow, wind energy especially provided by permanent magnet synchronous generators (PMSG) connected to wind turbines, has become an important research area. This article provides a comprehensive review of various converter topologies used in PMSG-based wind turbines. The transition from asynchronous to synchronous generators reflects the industry’s response to the evolving landscape of energy requirements. The review explores the advantages and disadvantages associated with different power converter topologies. Among these, the ”back-to-back” converter emerges as a common and favored topology due to its superior performance over Doubly Fed Induction Generators (DFIGs). The study delves into the intricate details of these converter topologies, shedding light on their operating intricacies and the impact on overall wind energy conversion efficiency. Furthermore, the analysis demonstrates recent developments and outcomes in power conversion topologies, including resonant converters, matrix converters, and multilevel converters. Tests have shown that the continuously clamped three-phase neutral diode topology (3L NPC-BTB) is superior to the BTB 2L-VSC parallel two-phase converter with DC coupling and multi-level converters. The proposed converter topology improves energy extraction and provides a gainful solution for generator on the side converters of high-power, variable speed PMSG wind turbines. This review provides a comprehensive guide to the power converter topologies of PMSG in wind turbines and contributes to ongoing discussions on advancing wind energy technology. Additionally, this review article is also useful for researchers, engineers, and professionals interested in renewable energy systems.
Wind energy and its conversion is part of renewable energy resources as cheaper and cleaner energy today even though the initial cost varies from place to place. Most of the government sector always promotes renewable energy with a provision of subsidies as observed worldwide. Wind energy is an actual solution over costlier conventional energy sources. If it is not properly placed and the selection of turbine design is not up to the mark, then investments may require more time to acquire Net Profit Value called as NPV. This research work is focused on the development of mathematical models to optimize the turbine size and locations considering all constraints such as the distance between the turbines, hub height, and investment in internal road and substation cost. Particle-Swarm-Optimization is an intelligent tool to optimize turbine place and size. The database management system is selected as the appropriate data storage platform for before and after optimization simulation. Various plots and excel outputs of .net programming are addressed for the success of optimization algorithms for the purpose of wind turbine placement and WTG design is suggested to manage wind energy such that power system reliability has been improved and the same is monitored through the reliability indices.