فصلنامه سیستم های انرژی پایدار

فصلنامه سیستم های انرژی پایدار

برنامه‌ریزی بهینۀ شارژ و دشارژ خودروهای الکتریکی در پارکینگ هوشمند lot در حضور رفتار نامعین مالکین خودرو

نوع مقاله : مقاله پژوهشی

نویسنده
دانشکدۀ مهندسی برق و کامپیوتر، دانشگاه ملی مهارت، تهران، ایران
10.22059/ses.2026.413326.1232
چکیده
سطح بالای آلودگی هوا، مشکلات گازهای گلخانه‌ای و افزایش سریع تقاضا برای انرژی پاک به افزایش تقاضا وسایل نقلیۀ الکتریکی (EVs) منجر شده است، اما شارژ و دشارژ برنامه‌ریزی‌نشدۀ EV‌ها می‌تواند شبکۀ تغذیۀ بالادستی را با مسائل فنی و اقتصادی زیادی مانند امنیت انرژی و ریسک قابلیت اطمینان مواجه کند. بنابراین، برنامه‌ریزی هوشمند شارژ و دشارژ EV‌ها ضروری است. در این مقاله، یک الگوریتم مبتنی بر PSO برای برنامه‌ریزی بهینۀ شارژ و دشارژ EV‌ها در پارکینگ هوشمند با شرایط واقعی ارائه شده است. این الگوریتم بر اساس مقادیر اولیه و نهایی وضعیت شارژ (SOC) تمام EV‌ها و اطلاعات زمان مورد انتظار ورود و خروج به پارکینگ است. برای رفتارهای نامعین مالکین EV، جریمۀ پرداختی به پارکینگ لحاظ می‌شود. در مسئلۀ بهینه‌سازی مربوطه، حداکثر کردن سود پارکینگ هوشمند و حداقل کردن هزینۀ مالکین EV مد نظر است. الگوریتم پیشنهادی با موفقیت با سناریوهای چهارگانۀ واقعی آزمایش شده است. مطابق نتایج آزمایش، هر چقدر انعطاف‌پذیری بیشتری در رفتار نامعین مالکین EV لحاظ شود، سود دریافتی پارکینگ به دلیل کاهش جریمه‌های دریافتی از مالکین EV کاهش می‌یابد و به‌عکس. لذا در سناریو 2 با بیشترین انعطاف خطا، سود پارکینگ به حداقل مقدار 2245 پوند کاهش می‌یابد. همچنین، در سناریو 1 که هیچ‌گونه انعطافی در رفتار نامعین مالکین EV مجاز نیست، سود پارکینگ به حداکثر مقدار خود یعنی 20512 پوند می‌رسد. به‌علاوه، هزینۀ مالکین EV در سناریو 2 حداقل و در سناریو 1 حداکثر می‌شود.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Optimum charging and discharging scheduling of EVs in a smart parking-lot in the presence of random behaviour of EV owners

نویسنده English

Shahriar Abbasi
Faculty of Electrical and Computer Engineering, National University of Skills (NUS), Tehran, Iran
چکیده English

Air pollution, greenhouse gas problems and the rapid increase in demand for clean energy have led to increase in the demand for electric vehicles (EVs). However, unscheduled charging and discharging of EVs can cause many technical and economic issues for the upstream power grid, such as security and reliability concerns. Therefore, smart scheduling of EVs charging and discharging is essential. In this paper, a PSO-based algorithm is proposed for optimal scheduling of EVs charging and discharging in smart parking lots under real-world conditions. This algorithm is based on the initial and final values ​​of the State Of Charge (SOC) of all EVs and the expected time information of entering and exiting the parking lot. For the uncertain behaviors of EV owners, penalties paid to the parking lot is considered. In the corresponding optimization problem, the profit of smart parking and the cost of EV owners are maximized. The proposed algorithm has been successfully tested with four real scenarios. According to the test results, the more flexibility is included in the uncertain behavior of EV owners, the parking profit decreases due to the reduction of penalty costs received from EV owners and vice versa. In scenario 2 with the highest fault flexibility, the parking profit decreases to a minimum of £2245. Also, in scenario 1, where no flexibility is allowed in the uncertain behavior of EV owners, parking profit reaches its maximum value of £20512. Also. cost of EV owners is minimized in scenario 2 and maximized in scenario 1.

کلیدواژه‌ها English

Smart Parking lot
Electric Vehicle (EV)
Scheduling
Random behaviour
Particle Swarm Optimization (PSO)
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