طراحی کنترل‌کننده مقاوم بهینه برای فرایند شارژ خودروی الکتریکی در حضور عدم قطعیت
محورهای موضوعی : مهندسی برق و کامپیوتر
مهسا کرمی
1
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روح الله برزمینی
2
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رضا شریفی
3
1 - دانشگاه آزاد اسلامی واحد تهران مرکزی
2 - دانشگاه آزاد اسلامی واحد تهران مرکزی
3 - دانشگاه آزاد اسلامی واحد تهران غرب
کلید واژه: خودروی الکتریکی, شارژ بی‌سیم, کنترل مقاوم, عدم قطعیت, ایستگاه شارژ,
چکیده مقاله :
فناوری انتقال توان بی سیم که با عناوینی مانند انتقال توان بدون تماس و انتقال توان به روش تزویج مغناطیسی نیز شناخته می شود، انتقال توان را به گونه ای ایمن و قابل اطمینان انجام می دهد که نیازی به اتصال مكانیكی مابین منبع و بار نباشد. در این روش، انتقال توان به روش بی‌سیم با استفاده از تزویج القای تشدیدی صورت می‌پذیرد. با عملکرد مبدل در حالت تشدید، انتقال مقدار قابل توجهی از توان در یک فاصله هوایی چند 10 سانتی‌متری، در حالی که بازده سیستم زیاد می‌باشد و تنش ولتاژ و جریان مبدل در حد معقول است، امکان‌پذیر خواهد بود. در این مقاله با ارائه روش مبتنی بر کنترل مقاوم H- بی‌نهایت و الگوریتم‌های فراابتکاری به بهبود فرایند شارژ خودروهای الکتریکی با در نظر گرفتن شرایط عدم قطعیت می‌پردازیم. نتايج حاصل از شبيه‌سازي، نشان‌دهنده عملكرد مناسب‌تر کنترلر پيشنهادي در مقايسه با کنترلرهای دیگر است. همچنین در این مقاله اثر اتصال ایستگاه شارژ خودروهای الکتریکی به شبکه توزیع با ملاحظه سیستم‌های برنامه‌ریزی بهینه شارژ و دشارژ برای حداکثرسازی سود اقتصادی خودروها و ایستگاه شارژ بررسی شد. در برنامه‌ریزی پیشنهادی، بهترین برنامه برای شارژ و دشارژ خودروها به منظور حداکثرسازی سود خود بر پایه الگوریتم ژنتیک استخراج شده است. مطابق نتایج شبیه‌سازی، برنامه‌ریزی بهینه شارژ و دشارژ به کاهش ارزش تلفات به انرژی کل شبکه به ازای بارگذاری ایستگاه در برخی شین‌ها منجر شده است، به طوری که اهداف شبکه مانند تلفات و شاخص انحراف ولتاژ، حداقل و شاخص پایداری ولتاژ حداکثر شده است. در این مطالعه، حداقل‌سازی تلفات، انحراف ولتاژ و همچنین حداکثرسازی شاخص پایداری ولتاژ، بررسی شده و مکان بهینه ایستگاه با در نظر گرفتن این اهداف به همراه سود ایستگاه و خودروها به دست آمده است. مطابق با نتایج، با برنامه‌ریزی شارژ و دشارژ خودروها علاوه بر تأمین شارژ مورد نیاز، سود ایستگاه و خودروها نیز افزایش یافته است.
Wireless power transmission technology with titles such as contactless power transmission, magnetic coupling power transfer, etc.are known and in fact, this method safely and reliably transmits power in such a way that does not require a mechanical connection between the source and the load. In this method, power transmission is done wirelessly using resonance induction coupling. By operating the transducer in the resonant mode, it will be possible to transfer a significant amount of power over an air distance of a few tens of centimeters, while the system efficiency is high and the voltage and current stress of the transducer are reasonable. In this paper, by presenting a method based on robust control and meta-heuristic algorithms, we improve the charging process of electric vehicles by considering uncertainty conditions. The simulation results show the better performance of the proposed controller compared to other controllers. Also, in this paper, the effect of connecting the charging station of electric vehicles to the distribution network is investigated by considering the optimal charging and discharging scheduling systems to maximize the economic profit of the vehicles and the charging station. In the proposed method, the best program for charging and discharging cars in order to maximize their profit is extracted based on genetic algorithm. According to the simulation results, optimal charging and discharging planning has reduced the value of losses to the total network energy to load the station in some trains, so that network targets such as losses and voltage deviation index are minimized and voltage stability index is maximized. In this study, minimization of losses, voltage deviation as well as maximization of voltage stability index have been investigated and the optimal location of the station has been obtained by considering these goals along with the profit of the station and vehicles. Finally, according to the results, with the planning of charging and discharging cars, in addition to providing the required charge, the profit of the station and cars has also increased.
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