NDLI: Qualification and quantification of reserves in power systems under high wind generation penetration considering demand response

Content Provider	IEEE Xplore Digital Library
Author	Paterakis, N.G. Erdinc, O. Bakirtzis, A.G. Catalao, J.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr.-Electron. Eng., Arel Univ., Istanbul, Turkey (Erdinc, O.) \|\| Dept. Electromech. Eng., Univ. Beira Interior, Covilha, Portugal (Paterakis, N.G.; Catalao, J.) \|\| Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece (Bakirtzis, A.G.)
Abstract	Summary form only given. The presence of high levels of Renewable Energy Resources (RES) and especially wind power production poses technical and economic challenges to System Operators, which under this fact have to procure more Ancillary Services (AS) through various balancing mechanisms, in order to maintain the generation-consumption balance and to guarantee the security of the grid. Traditionally, these critical services had been procured only from the generation side, yet the current perception has begun to recognize the demand side as an important asset that can improve the reliability of a power system, offering notable advantages. In this study, a two-stage stochastic programming model, representing the day-ahead market clearing procedure on an hourly basis and the actual minute-to-minute operation of the power system, is developed comprising different services that specifically address to various disturbance sources of the normal operation of a power system, namely intra-hour load variation, intra-hour wind variation, as well as generating unit and transmission line outages.
Starting Page	1
Ending Page	1
File Size	77046
Page Count	1
File Format	PDF
ISBN	9781467380409
DOI	10.1109/PESGM.2015.7285856
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power systems Wind power generation Load management Qualifications Wind Computers Renewable energy sources
Content Type	Text
Resource Type	Article

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