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فصلنامه علمی کارافن

ارزیابی تأثیر فناوری V2G و منابع تجدیدپذیر در کاهش هزینه‌های بهره‌برداری شبکه‌های توزیع با رویکرد برنامه‌ریزی مخروطی مرتبه دوم

نوع مقاله : مقاله پژوهشی (کاربردی)

نویسنده
گروه مهندسی برق، دانشگاه ملی مهارت، تهران، ایران
چکیده
مدیریت بهینه انرژی و بار در شبکه‌های توزیع به‌منظور کاهش هزینه‌های سرمایه‌گذاری و بهره‌برداری، از موضوعات مهم در سیستم‌های قدرت محسوب می‌شود. با توسعه فناوری، منابع نوینی همچون خودروهای برقی با قابلیت شارژ و دشارژ دوطرفه (V2G) به‌عنوان ابزار مؤثر در کاهش وابستگی به تولید فسیلی و مدیریت بار مطرح شده‌اند. در این مقاله، یک مدل بهینه‌سازی محدب برای تعیین مکان و ظرفیت منابع تولید پراکنده (DG) با درنظر گرفتن رفتار دقیق خودروهای برقی پیشنهاد شده است. مدل ارائه‌شده به‌صورت برنامه‌ریزی مخروطی مرتبه دوم عدد صحیح مختلط (MISOCP) فرمول‌بندی شده و امکان حل دقیق و تضمین بهینگی سراسری را فراهم می‌کند. رفتار غیرخطی خودروهای برقی با استفاده از روش خطی‌سازی Big-M مدل‌سازی شده است. تابع هدف شامل مجموع هزینه‌های سرمایه‌گذاری، بهره‌برداری، خرید انرژی از شبکه بالادست و تلفات انرژی است و قیود عملیاتی همچون ولتاژ، توان خطوط و محدودیت‌های فنی منابع در نظر گرفته شده‌اند. مدل روی شبکه استاندارد 33 باسه IEEE شبیه‌سازی شده و نتایج سناریوهای مختلف نشان می‌دهند که استفاده از فناوری V2G موجب کاهش قابل توجه در هزینه کل و تلفات انرژی شده است. همچنین تحلیل حساسیت مدل نسبت به پارامترهای کلیدی، پایداری ساختار مدل را تأیید می‌کند. مدل پیشنهادی می‌تواند ابزاری مؤثر برای برنامه‌ریزی هوشمند شبکه‌های توزیع باشد.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Evaluating the Impact of V2G Technology and Renewable Resources on Reducing Operational Costs of Distribution Networks Using a Mixed-Integer Second-Order Cone Programming Approach

نویسنده English

mehdi shafiee
1 Department of Electrical Engineering, Technical and Vocational University (TVU), Tehran, Iran.
چکیده English

Optimal energy and load management in distribution networks is a key issue in power systems aimed at reducing investment and operational costs. With technological advancements, new resources such as electric vehicles (EVs) with bidirectional charging and discharging capabilities (V2G) have emerged as effective tools for reducing dependency on fossil-fuel-based generation and for managing load. In this paper, a convex optimization model is proposed to determine the optimal location and capacity of distributed generation (DG) units while accurately modeling the behavior of electric vehicles. The proposed model is formulated as a Mixed-Integer Second-Order Cone Programming (MISOCP) problem, enabling precise solutions with guaranteed global optimality. The nonlinear behavior of EVs is modeled using the Big-M linearization method. The objective function includes the total costs of investment, operation, energy procurement from the upstream grid, and energy losses. Operational constraints such as voltage limits, line flow capacities, and technical restrictions of resources are also considered. The model is simulated on the standard IEEE 33-bus distribution network, and the results of various scenarios show that the integration of V2G technology leads to significant reductions in total cost and energy losses. Moreover, sensitivity analysis with respect to key parameters confirms the structural robustness of the model. The proposed approach can serve as an effective tool for intelligent distribution network planning.

کلیدواژه‌ها English

Electric Vehicles
Distribution network
Distributed production resources
Renewable resources
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دوره 23، شماره 1
فنی و مهندسی
بهار 1405
صفحه 286-310

  • تاریخ دریافت 11 اردیبهشت 1404
  • تاریخ بازنگری 01 تیر 1404
  • تاریخ پذیرش 25 بهمن 1404