DocumentCode
14601
Title
Market Implications and Pricing of Dynamic Reserve Policies for Systems With Renewables
Author
Lyon, Joshua D. ; Fengyu Wang ; Hedman, Kory W. ; Muhong Zhang
Author_Institution
Dept. of Ind. Eng., Arizona State Univ., Tempe, AZ, USA
Volume
30
Issue
3
fYear
2015
fDate
May-15
Firstpage
1593
Lastpage
1602
Abstract
Static reserve policies are used within security-constrained unit commitment (SCUC) and security constrained economic dispatch (SCED) to ensure reliability. A common policy is that 10-min reserve must exceed the largest contingency. However, this condition does not guarantee reliability because voltage and thermal limits can hinder reserve deliverability. Many operators use zonal reserve markets to ensure reserves are dispersed across the grid. Such zonal models attempt to anticipate transmission bottlenecks, which is a difficult task when the future system state is uncertain. This paper examines the market implications of dynamic reserve policies used to mitigate uncertainty from renewable resources and contingencies. We study the market implications of policies recently proposed in the literature, such as hourly zones within day-ahead SCUC and an algorithm that formally disqualifies reserves that are expected to be undeliverable. A locational reserve pricing scheme is also proposed in connection with scenario-based reserve disqualification. Analysis on the RTS-96 test case shows that dynamic zones and reserve disqualification, along with the proposed compensation scheme, help direct reserve payments toward resources that more effectively respond to contingencies.
Keywords
power generation dispatch; power generation economics; power generation reliability; power markets; pricing; RTS-96 test; compensation scheme; day-ahead SCUC; dynamic reserve policies pricing; market implications; reliability; renewable resources; reserve pricing scheme; scenario-based reserve disqualification; security-constrained unit commitment; static reserve policies; Biological system modeling; Generators; Mathematical model; Quality of service; Real-time systems; Reliability; Wind forecasting; Electric energy markets; locational reserve payments; power generation dispatch; power system economics; power system reliability; renewable energy; reserve requirements; reserve zones; unit commitment;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2014.2377044
Filename
7006810
Link To Document