Risk-Averse Optimal Bidding Strategy for Demand-Side Resource Aggregators in Day-Ahead Electricity Markets Under Uncertainty

This paper first presents a generic model to characterize a variety of flexible demand-side resources (e.g., plug-in electric vehicles and distributed generation). Key sources of uncertainty affecting the modeling results are identified and are characterized via multiple stochastic scenarios. We the...

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Vydané v:	IEEE transactions on smart grid Ročník 8; číslo 1; s. 96 - 105
Hlavní autori:	Xu, Zhiwei, Hu, Zechun, Song, Yonghua, Wang, Jianhui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.01.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Aggregates Aggregator Benchmarks Computational modeling Computer simulation conditional value-at-risk (CVaR) Decision theory Demand side management Distributed generation Electric power demand Electric vehicles Electricity consumption Electricity supply industry Energy consumption Generators Mathematical models optimal day-ahead bidding regret Risk levels risk-averse Robustness (mathematics) Stochastic processes Strategy Uncertainty value-at-risk (VaR)
ISSN:	1949-3053, 1949-3061
On-line prístup:	Získať plný text
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