DocumentCode :
715098
Title :
Toward design of risk-based real-time dispatch at value
Author :
Xiaoqi Yin ; Ilic, Marija D. ; Sinopoli, Bruno
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2015
fDate :
18-20 Feb. 2015
Firstpage :
1
Lastpage :
5
Abstract :
The increasing presence of uncertainties in today´s power systems has brought new risks in its daily operation. In addition to the uncertainty of demand and renewable resources, the slow generator´s deviation from the system operator´s command in real-time dispatch has recently been identified as a new type of uncertainty which may lead to risks of increased stress on AGC as well as market inefficiency. Instead of the centralized framework previously proposed, in this paper we develop a risk-based market structure to manage the risk in a distributed way. The generators with deviations are charged with the corresponding redispatch cost caused by their deviations based on market-based prices. As a result, the slow generators internalize the potential risks of deviations in their simple bid functions submitted in real-time energy market. We show through simulations that the proposed risk-based market structure 1) rewards the right stakeholders/technologies for what they do by allocating the cost of risk to the causation; 2) reduces overall generation cost as well as risk in online power balancing.
Keywords :
cost reduction; power generation dispatch; power generation economics; power markets; pricing; AGC; bid function; demand uncertainty; generation cost reduction; generator deviation; market-based prices; online power balancing; power systems; real-time energy market; redispatch cost; renewable resources; risk cost allocation; risk management; risk-based market structure; risk-based real-time dispatch; system operator command; Automatic generation control; Generators; Power systems; Real-time systems; Risk management; Schedules; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/ISGT.2015.7131810
Filename :
7131810
Link To Document :
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