طراحی بهینه ژنراتور سنکرون آهنربای دایم شار شعاعی شش‌فاز جهت استفاده در توربین‌های بادی مقیاس کوچک
محورهای موضوعی : مهندسی برق و کامپیوتر
محمدابراهیم مؤذن
1
(دانشگاه صنعتی نوشیروانی بابل)
سیداصغر غلامیان
2
(دانشگاه نوشیروان بابل)
میثم جعفری نوکندی
3
(دانشگاه نوشیروان بابل)
کلید واژه: ژنراتور آهنربای دایمتوربین بادیطراحی بهینههزینه ساختتلفاتالگوریتم ازدحام ذراتتحلیل اجزای محدود,
چکیده مقاله :
در این مقاله طراحی بهینه ژنراتور سنکرون آهنربای دایم شش‌فاز جهت استفاده در توربین‌های بادی بدون جعبه‌دنده ارائه شده است. ابعاد و هزینه ساخت زیاد و راندمان کم از معایب ژنراتورهای متصل به توربین‌های بادی بدون جعبه‌دنده به دلیل سرعت نامی پایین می‌باشد. بنابراین هدف اصلی این مقاله طراحی بهینه ژنراتور سنکرون آهنربای دایم بر اساس کاهش تلفات و هزینه ساخت ژنراتور است. به همین منظور ابتدا روابط حاکم بر طراحی ژنراتور سنکرون آهنربای دایم شار شعاعی مورد بررسی قرار گرفته و یک الگوریتم طراحی دقیق برای آن استخراج شده است. سپس با تعریف یک مسأله بهینه‌سازی چندهدفه، متغیرهای طراحی با استفاده از الگوریتم بهینه‌سازی ازدحام ذرات در یک محدوده مناسب بهینه‌یابی شده و حداقل تلفات و هزینه ساخت ژنراتور به دست آمده است. در پایان مقایسه‌ای بین ژنراتور بهینه شده و یک نمونه ژنراتور آهنربای دائم رتور خارجی واقعی انجام شده است که نشان‌دهنده قابلیت‌های بسیار خوب روش طراحی بهینه ارائه‌شده می‌باشد. همچنین صحت طراحی بهینه انجام‌شده به واسطه تحلیل اجزای محدود مورد بررسی قرار گرفته است.
This paper presents optimal design of a six-phase permanent magnet synchronous generator (PMSG) for use in direct drive wind turbines. High Dimensions and manufacturing cost and low efficiency are the disadvantages of generators connected to wind turbines without gearbox because of their low nominal speed. Therefore, the main purpose of this paper is to optimize the design of the PMSG based on the reduction of losses and the construction cost of the generator. For this purpose, the relations governing the design of the radial flux PMSG have been introduced and then a design algorithm has been extracted. Subsequently, by defining a multi-objective optimization problem and using the particle swarm optimization (PSO) algorithm, the optimum design variables are determined in a suitable range and the minimum losses and construction cost of the generator are obtained. The optimal design has been verified by using finite element analysis.
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