Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6859921 | International Journal of Electrical Power & Energy Systems | 2015 | 10 Pages |
Abstract
Renewable resources generation scheduling is one of the newest problems of the power markets. In this paper, joint operation (JO) of wind farms (WF), pump-storage units (PSU), photo-voltaic (PV) resources, and energy storage devices (ESD) is studied in the energy and ancillary service markets. There are uncertainties in wind power generation (WPG), photovoltaic power generation (PVPG) and the market prices. To model these uncertainties, the WPG is forecasted by using ARMA model and its scenarios are generated using Weibull distribution function. Moreover, other uncertain parameters are forecasted first, and their uncertainties are modeled by using scenario generation and scenario reduction method. The proposed JO method is used to determine the optimal bidding strategy of the PSU, PV, ESD and WF of IEEE 118-bus standard system. The results for these renewable energy resources confirm that the JO of these resources increases the profit and decreases the risk of the resources in comparison with their uncoordinated operation (UO).
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Moein Parastegari, Rahmat-Allah Hooshmand, Amin Khodabakhshian, Amir-Hossein Zare,