کنفرانس مهندسی برق ایران

صفحه اصلی / بیست و نهمین کنفرانس مهندسی برق ایران

Probabilistic Dynamic Economic Dispatch in Presence of Wind Farms

نویسندگان :

Homayoun Berahmandpour¹ Shahram Montasar Kuhsari² Hassan Rastegar³

1- دانشگاه صنعتی امیرکبیر 2- دانشگاه صنعتی امیرکبیر 3- دانشگاه صنعتی امیرکبیر

کلمات کلیدی :

Dynamic Economic Dispatch, Probabilistic analysis, Wind power, Economic trade-off, Wind power linear model

چکیده :

Dynamic economic dispatch is the main tool for optimal power system operation. On the other hand, probabilistic economic dispatch is also an important tool because of the increasing of uncertain and non dispatchable renewable generation mainly wind and solar. This paper presents a probabilistic dynamic economic dispatch model in presence of wind farms using a linear wind power model. The main idea about the probabilistic model is presented in previous work by authors. Based on the previous work, the wind power curve is linearized by a precise method and Weibull distribution function is used to model the probabilistic wind speed specification. In the current paper two improvements are done as extending the static economic dispatch to dynamic and also extending the optimization algorithm to include all types of Weibull distribution function.

لیست مقالات

لیست مقالات بایگانی شده

Partial Image Encryption of Faces Based on Chaotic Maps and Elliptic Curve Cryptography

Ali Soleymani - Md Jan Nordin

ساخت و مشخصه یابی حسگر گاز مونوکسیدکربن مبتنی بر هتروساختار p-n نیترید کربن گرافیتی متخلخل-اکسید مس

سمیرا جوانمردی - شیرین نصر اصفهانی - محمد حسین شیخی

مدل سازی و شبیه سازی جداکننده پرتو کوانتومی و تداخل گر ماخ زندر کوانتومی

محمد جواد شریفی

Unscented Kalman Filter adaptive noise covariance selection for satellite formation flying with Q_learning

Mohammad Hossein Nemati - MohammadRasoul Kankashvar - Hossein Bolandi

Design and fabrication tip tapered fiber optic dopamine sensor based on LSPR

Roksana Esmaeilpour - Mohammad Ismail zibaii - Masoumeh Barkand - Marzieh Pajouhandeh - Soroush Rostami - Mehdi Banihashemi - Mohammad-Mahdi Babakhani-fard

Application of Transfer Learning in Optimized Filter- Bank Regularized CSP to Classification of EEG Signals with Small Dataset

M. Moein Esfahani - Hossein Sadati

Machine Learning Approach for Retrieval of Complex Permittivity in Cavity Resonators

Kianoosh Kazemi - Gholamreza Moradi

Applying Parameter-Oriented Learning to Identify Statistical EEG Features Associated with Depression

Sara Bargi Barkouk - Melika Changizi - Mahdi Zolfagharzadeh Kermani - Ali Asadi Zeidabadi

Robust H∞ Control Design for Variable-Speed Wind Turbines Using Bilinear Matrix Inequalities

Hamidreza Javanmardi - Alireza Hamedi - Mahya Rahimzadeh

Error Correction Enhancement in SCL Decoding of Polar Codes Using LSTM Network

Fatemeh Alia - Bahareh Akhbari - Mahmoud Ahmadian Attari

بیشتر