0% Complete
صفحه اصلی
/
سی امین کنفرانس بین المللی مهندسی برق
Strategic Offering of a Virtual Power Plant in Energy Markets Under Contingency Conditions: A Hybrid Stochastic Robust Optimization Approach
نویسندگان :
Elahe Ghanaee
1
Morteza Rahimiyan
2
1- دانشگاه صنعتی شاهرود
2- دانشگاه صنعتی شاهرود
کلمات کلیدی :
Energy Management, Virtual Power Plant, Stochastic Robust Optimization, Contingency
چکیده :
In this paper, the energy management problem of a virtual power plant in energy markets considering contingency conditions is formulated as a stochastic robust optimization model. Several price-responsive demands, Renewable power plants (RPPs), conventional power plants (CPPs), energy storage systems (ESSs) are integrated into a virtual power plant (VPP) interconnected through an electric network. Smart grid technology enables the energy management system (EMS) to communicate with day-ahead (DA) and real-time (RT) markets, as well as with VPP components. The uncertainties associated with the production of renewable resources, the prices in the DA and RT markets, as well as the availability of the components of the VPP are considered. The uncertainty in the availability of the components in the virtual power plant and the market prices is modeled through scenarios, whereas the variability in Renewable production is presented through prediction intervals. Furthermore, the conditional value at risk (CVaR) is incorporated into the model to analyze the impact of risk-aversion on EMS decisions. The results verify the applicability of the decisions under contingency conditions.
لیست مقالات
لیست مقالات بایگانی شده
Distributed Deep Reinforcement Learning for Radio Resource Management in O-RAN
Ahmad Ahmadi Siahpoush - Vahid Shah-Mansouri
True Random Number Generator Relying on Multiple Entropy Source and Triple Oscillator for Cryptography Purposes
Somayeh Gholam Mehraban - Mohsen Jalali - Mostafa Azadbakht
Novel Low Power Switch-Count Structure for Medium/High Power Multilevel Inverter
Ali Seifi - Seyed-hossein Hosseini - Mehrdad Tarafdar Hagh
Using GA and ML to Improve LoRa Network Performance
Yas Hosseini Tehrani - Seyed mojtaba Atarodi
طراحی و ساخت سیستم تصویربرداری SAR دایروی موج میلیمتری
علی آقاکثیری - امیرعلی بنایی کاشانی - علی تاجیک - علیرضا کیایی - هنگامه عزیزی - مهدی عندلیبی - سامان غضنفری - محمد فخارزاده
Application of Statistical Techniques and Machine Learning in Forecasting Distribution Network Load: A Real Case Study on the Iranian Power System
Hossein Jafari - Mohammad Sadegh Sepasian - Fatemeh Teimori
Modeling, estimation, and model predictive control for Covid-19 pandemic with finite security duration vaccine
Abolfazl Delavar - Reza Rahimi Baghbadorani
Vehicle stability control and trajectory tracking utilizing a type-2 fuzzy controller
Mohammad Mahdavi Mazdeh - Mehdi Pourgholi - Vahid Fakhari
PCG Denoising using AR-based Kalman Filter
Mohammad Sadegh Nazemi - Hesam Hakimnejad - Zohreh Azimifar
TID-based PSS2B to Overcome LFO Issue in Multi-machine Power Systems
Javad Morsali
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0