ارائۀ یک مدل بهینه‌سازی جدید برای مدیریت انرژی مبتنی بر قیمت‏ گذاری در یک بازار برق همتا به همتا (P2P)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، گروه مهندسی صنایع، دانشکدۀ مهندسی، دانشگاه بوعلی سینا، همدان، ایران

2 دانشیار، گروه مهندسی صنایع، دانشکدۀ مهندسی، دانشگاه بوعلی سینا، همدان، ایران

10.22059/ses.2024.374651.1062

چکیده

در سال‌های اخیر تجارت انرژی همتا به همتا (P2P) به عنوان یک مکانسیم مدیریت انرژی با هدف بهبود کارایی منابع انرژی تجدیدپذیر پراکنده، ظهور پیدا کرده است. در این مقاله نوعی مدل بهینه‌سازی MINLP به منظور طراحی بازار برق همتا به همتا (P2P) با هدف مدیریت انرژی مبتنی بر قیمت، در حضور یک برنامه پاسخ به تقاضای زمان‌محور‌ـ تشویق‌محور با مشارکت فعال خرده‏فروش پیشنهاد شده است. مدل ریاضی پیشنهادی در 2 سناریوی تک‌هدفه و یک سناریوی دو‌هدفه در بهینه‌سازی سود خرده‏فروش و هزینه‏های پرسیومرها، برای یک ریزشبکۀ هوشمند فرضی متصل به شبکۀ بالادست، براساس داده‌های واقعی تهران‌ـ ایران مورد بررسی قرار گرفت. نتایج نشان داد به دلیل سیاست‌های دولت ایران در استفاده از انرژی‌های تجدیدپذیر، در تمامی سناریو‌ها سهم قابل توجه درآمد خرده‏فروش، از فروش برق به بازار عمده‏فروشی است، و بخش بزرگی از هزینه‏های پرسیومرها حاصل به‌کارگیری سیستم‌های تولید انرژی به منظور تأمین انرژی ریزشبکه است. با این‌حال، می‌توان ادعا کرد که شرکت در بازار P2P نقش مهمی در کاهش هزینه‏های پرسیومرها ایفا می‌کند. همچنین بررسی تأثیرات اجرای برنامه‌های پاسخ به تقاضا نشان داد اجرای این برنامه‌ها همراه با کشش قیمتی منجر به افزایش سود خرده‏فروش و سود کلی ریزشبکه به‌ترتیب تا 3/10 و 98/39 درصد می‌شود. علاوه بر این، با اجرای برنامه‌های پاسخ به تقاضا، اعضای عادی ریزشبکه (بدون سیستم‌های تولید انرژی) نیز به سود می‌رسند.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

A Novel Optimization Model for Pricing-based Energy Management in a Peer-to-Peer (P2P) Electricity Market

نویسندگان [English]

  • Maliheh Masoumi 1
  • Amir Saman Kheirkhah 2
1 PhD student, Department of Industrial Engineering, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Iran
2 Department of Industrial Engineering, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Iran
چکیده [English]

In this paper, a bi-objective mixed-integer non-linear programming (MINLP) model is proposed to design a P2P electricity market for price-based energy management incorporating incentives and time-based demand response programs (DRPs), considering the active involvement of retailers. The proposed mathematical model was investigated for a hypothetical smart microgrid connected to the upstream grid, based on real data from Tehran, Iran. The results indicated that due to the Iranian government's policies on renewable energy, in all scenarios, a significant portion of the retail income comes from selling electricity to the wholesale market, and a considerable part of prosumers' costs is attributed to the deployment of energy generation systems to supply energy to the MG However, it can be argued that participating in the P2P market plays a significant role in reducing prosumers' costs. Furthermore, investigating the impacts of DRPs revealed that their implementation and price elasticity of demand increased retail and overall MG profit by up to 10.3% and 39.98%, respectively. Additionally, implementing DRPs benefits consumers (without DERs) in the MG.

کلیدواژه‌ها [English]

  • Demand Response Programs (DRPs)
  • Peer-to-Peer (P2P) Electricity Market
  • Elasticity
  • MINLP
  • Retailer

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فصلنامه سیستم های انرژی پایدار
دوره 3، شماره 1
دی 1402
صفحه 1-22

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