[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
Overall Journal Statistics
Published articles: 240
Acceptance rate: 84.3
Rejection rate: 15.7
Average time to review: 97 days
Average time to publish: 26 days
..
:: Search published articles ::
Showing 1 results for Keywords: Virtual Power Plant

Mr. Mohammad Safar Ali Najjar, Dr. Mohsen Saniei,
Volume 2, Issue 1 (6-2013)
Abstract

Abstract:
Enviromental concerns, improvements in renewable energy technologies, governmental incentives for the use of these resources, and increased T&D costs, are the main factors driving the energy sector into a new era, where considerable portions of electrical demand will be met through widespread installation of Distributed Energy Resources (DERS). The Virtual Power Plant (VPP) is a decentralized energy management system tasked to aggregate of capacity some Distributed Generations (DGS), storage facilities, and Dispachable Loads (DLS) for the purpose of energy trading and/or providing system support services. Due of stochastic behavior of the prime sources of some DGS, such of wind speed and temperature, the steady state analysis of the system with integration of such DG unit requires a probabilistic approach. in this thesis, a probabilistic Price Based Unit Commitment (PBUC) approach using Point Estimate Method (PEM) is employed to model the uncertainty in market price and generation sources, for optimal bidding of a VPP in a day-ahead electricity market. Also, the uncertainty of stochastic DGS generation handled through increasing the amount of required reserve. The proposed model allows a VPP to decide on the unit commitment of its DERS, and the optimal sale bids to the day-ahead market. The proposed optimization algorithm is applied to an 18-buses system And solved by GAMS.



Page 1 from 1     

تحقیقات نوین در برق Journal of Novel Researches on Electrical Power
Persian site map - English site map - Created in 0.06 seconds with 27 queries by YEKTAWEB 4714