TY - JOUR
T1 - Congestion risk-aware unit commitment with significant wind power generation
AU - Abedi, Sajjad
AU - He, Miao
AU - Obadina, Diran
N1 - Funding Information:
Manuscript received November 9, 2017; revised February 28, 2018; accepted April 22, 2018. Date of publication April 30, 2018; date of current version October 18, 2018. This work was supported in part by Electric Reliability Council of Texas (ERCOT), and in part by the National Science Foundation (NSF) under Grant ECCS-1509890 and ECCS-1653922. (Corresponding author: Sajjad Abedi.) S. Abedi and M. He are with the Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79409 USA (e-mail:, S.Abedi@ttu.edu; Miao.He@ttu.edu).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/11
Y1 - 2018/11
N2 - Large-scale and ubiquitous penetration of wind power generation to power systems necessitates more conservative provision of system reliability by ensuring adequately committed reserve and observance of transmission constraints. In addition, wind power curtailment due to the technical limitations of system operations, such as transmission congestion, should be efficiently mitigated. To this aim, this paper presents a congestion risk-aware unit commitment formulation in a two-settlement market environment. The uncertainty impact of multicorrelated wind power and contingencies on the risk of transmission congestion for each line, called the Line Transfer Margins (LTM), is incorporated using basic statistical data on the nodal wind power forecast and probability of credible line-outages across the system. The LTMs, formulated free of any distributional assumptions, collectively provide a measure for transmission reserves, which effectively mitigate the likelihood of transmission congestion, reserve undeliverability, and wind power curtailment in the real-time economic dispatch. The effectiveness of the proposed approach is verified through comparative case studies on IEEE RTS-96 for various wind power and LTM scenarios.
AB - Large-scale and ubiquitous penetration of wind power generation to power systems necessitates more conservative provision of system reliability by ensuring adequately committed reserve and observance of transmission constraints. In addition, wind power curtailment due to the technical limitations of system operations, such as transmission congestion, should be efficiently mitigated. To this aim, this paper presents a congestion risk-aware unit commitment formulation in a two-settlement market environment. The uncertainty impact of multicorrelated wind power and contingencies on the risk of transmission congestion for each line, called the Line Transfer Margins (LTM), is incorporated using basic statistical data on the nodal wind power forecast and probability of credible line-outages across the system. The LTMs, formulated free of any distributional assumptions, collectively provide a measure for transmission reserves, which effectively mitigate the likelihood of transmission congestion, reserve undeliverability, and wind power curtailment in the real-time economic dispatch. The effectiveness of the proposed approach is verified through comparative case studies on IEEE RTS-96 for various wind power and LTM scenarios.
KW - Congestion management
KW - line transfer margin
KW - power system reliability
KW - transmission reserve
KW - unit commitment
KW - wind power curtailment
KW - wind power uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85046354069&partnerID=8YFLogxK
U2 - 10.1109/TPWRS.2018.2831677
DO - 10.1109/TPWRS.2018.2831677
M3 - Article
AN - SCOPUS:85046354069
SN - 0885-8950
VL - 33
SP - 6861
EP - 6869
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 6
M1 - 8352818
ER -