
Smart self‐scheduling of Gencos with thermal and energy storage units under price uncertainty
Author(s) -
Soroudi Alireza
Publication year - 2014
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.1780
Subject(s) - scheduling (production processes) , smart grid , computer science , electricity , energy storage , electricity market , grid , thermal energy storage , compressed air energy storage , operations research , electricity price , mathematical optimization , engineering , electrical engineering , power (physics) , physics , mathematics , ecology , geometry , quantum mechanics , biology
SUMMARY This paper provides a self‐scheduling tool for price taker Gencos. This methodology is based on Robust Optimization (RO) to deal with the uncertainties of market price values in the day‐ahead electricity pool market. The Genco is assumed to be the entity who decides about the operating schedules of its thermal units and Compressed Air Energy Storage units. The benefits of Genco brought by smart grid technology and energy storage systems are investigated in this work. The applicability of the proposed method is analyzed through different scenarios. Copyright © 2013 John Wiley & Sons, Ltd.