بازآرایی مقاوم شبکه¬های توزیع به منظور بهبود انعطاف¬پذیری در حضور منابع انرژی تجدیدپذیر

محورهای موضوعی : مهندسی برق و کامپیوتر

مهسا چوبداری ¹ , محمود سمیعی مقدم ² , رضا داورزنی ³ , آزیتا آذرفر ⁴ , حسام الدین حسین پور ⁵

1 - گروه مهندسي برق، واحد شاهرود، دانشگاه آزاد اسلامی، شاهرود، ايران
2 - گروه مهندسي برق، واحد دامغان، دانشگاه آزاد اسلامی، دامغان، ايران
3 - گروه مهندسي برق، واحد شاهرود، دانشگاه آزاد اسلامی، شاهرود، ايران
4 - گروه مهندسي برق، واحد شاهرود، دانشگاه آزاد اسلامی، شاهرود، ايران
5 - گروه مهندسي برق، واحد شاهرود، دانشگاه آزاد اسلامی، شاهرود، ايران

تاریخ دریافت : 1403/07/20 تاریخ پذیرش : 1403/12/01 تاریخ انتشار : 1405/03/31

کلید واژه: انرژی تجدیدپذیر, بازآرایی, بهینه¬سازی مقاوم, شبکه توزیع,

چکیده مقاله :

بازآرایی شبکه‌های توزیع هوشمند به عنوان یک استراتژی مقرون‌به‌صرفه برای کاهش تلفات و انحراف ولتاژ، به ویژه در مواجهه با ادوات نوظهوری مانند سیستم‌های ذخیره‌سازی انرژی، مدیریت سمت تقاضا و منابع تولید پراکنده می‌باشد. مطالعات اخیر، اهداف بهینه‌سازی را گسترش داده است تا نه تنها کاهش تلفات سیستم توزیع، بلکه به حداقل رساندن تأمین برق از شبکه انتقال در پست‌های توزیع را نیز شامل شود. این مقاله یک مدل بازآرایی مقاوم را معرفی می‌کند که از بهینه‌سازی مخروط مرتبه دوم دو مرحله‌ای استفاده می‌کند. منابع انرژی تجدیدپذیر و مدیریت تقاضا به همراه منابع تولید پراکنده مبتنی بر سوخت فسیلی مانند ژنراتورهای گاز و دیزل را پوشش می‌دهد. هدف این مدل بهینه‌سازی یک تابع چند هدفه است که تلفات، خرید برق در پست‌های توزیع و هزینه‌های مرتبط با محدود کردن منابع انرژی تجدیدپذیر را کاهش می‌دهد. عملکرد مدل پیشنهادی در شبیه‌سازی شبکه 33 باس IEEE نشان می‌دهد که تلفات توان در مقایسه با وضعیت بدون مدیریت سمت تقاضا (معادل 0.71 مگاوات) تا 22.5% کاهش یافته است. مصرف انرژی خریداری‌شده از شبکه تا 19.5% کاهش یافته است (از 1.54 به 1.24 مگاوات ساعت). ولتاژ حداقل بهبود یافته است (افزایش 1.03% از 0.972 به 0.982 p.u). در سناریوی بهینه‌سازی مقاوم، کاهش 10% در تعداد خطوط بازشده نشان‌دهنده بهبود عملکرد در شرایط عدم قطعیت است. این نتایج نشان‌دهنده تأثیر قابل‌توجه مدل پیشنهادی در بهینه‌سازی عملکرد شبکه‌های توزیع هوشمند و کاهش هزینه‌ها و تلفات است.

چکیده انگلیسی:

Reconfiguring smart distribution networks is an economical strategy for reducing losses and voltage deviations, particularly in the face of emerging devices such as energy storage systems, demand-side management, and distributed generation sources. Recent studies have expanded optimization objectives to not only reduce distribution system losses but also minimize electricity procurement from the transmission network at distribution substations. This paper introduces a resilient reconfiguration model that uses a second-order cone programming optimization approach. It covers renewable energy sources, demand-side management, and fossil fuel-based distributed generation sources such as gas and diesel generators. The goal of this optimization model is to minimize a multi-objective function that reduces losses, electricity purchase at distribution substations, and costs associated with limiting renewable energy sources. The performance of the proposed model is validated through a simulation of the 33-bus IEEE network, showing that power losses have decreased by 22.5% (from 0.71 MW to 0.55 MW) compared to the case without demand-side management. The energy purchased from the grid has decreased by 19.5% (from 1.54 to 1.24 MWh). The minimum voltage has improved by 1.03% (from 0.972 p.u to 0.982 p.u). In the robust optimization scenario, there is a 10% reduction in the number of open lines, indicating improved performance under uncertainty conditions. These results highlight the significant impact of the proposed model in optimizing the performance of smart distribution networks and reducing costs and losses.

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