TY - JOUR
T1 - Evaluation of demand response resource aggregation system capacity under uncertainty
AU - Zhang, Jiangmeng
AU - Dominguez-Garcia, Alejandro D.
N1 - Funding Information:
Manuscript received May 24, 2016; revised October 10, 2016 and December 21, 2016; accepted January 24, 2017. Date of publication February 2, 2017; date of current version August 21, 2018. This work was supported in part by the U.S. Department of Energy under Consortium for Electric Reliability Technology Solutions Program, and in part by the National Science Foundation under Grant ECCS-CPS-1135598. Paper no. TSG-00706-2016.
Publisher Copyright:
© 2010-2012 IEEE.
PY - 2018/9
Y1 - 2018/9
N2 - Demand response resources (DRRs) are usually aggregated in order to participate in wholesale electricity markets (e.g., capacity, energy, and ancillary service markets). In such DRR aggregation systems, uncertainty arising from, e.g., random failures, is unavoidable; this paper focuses on assessing the impact of such uncertain phenomena on the reliability of DRR aggregation systems. To this end, we first develop a stochastic hybrid system (SHS) model to capture DRR continuous dynamics, as well as discrete events that arise from failures and repairs. The statistics of the DRR aggregation system state variables can be obtained by using the extended generator of the SHS. Then, we can use these statistics to estimate the value of the probability that the DRR aggregation system can successfully provide a certain amount of power for a period of time. Subsequently, by varying the values of the power to be provided and period duration, we can construct a probability-capacity-duration contour. Capacity-duration curves can be then obtained by setting the probability to desired confidence levels. The proposed method is illustrated through several examples and case studies.
AB - Demand response resources (DRRs) are usually aggregated in order to participate in wholesale electricity markets (e.g., capacity, energy, and ancillary service markets). In such DRR aggregation systems, uncertainty arising from, e.g., random failures, is unavoidable; this paper focuses on assessing the impact of such uncertain phenomena on the reliability of DRR aggregation systems. To this end, we first develop a stochastic hybrid system (SHS) model to capture DRR continuous dynamics, as well as discrete events that arise from failures and repairs. The statistics of the DRR aggregation system state variables can be obtained by using the extended generator of the SHS. Then, we can use these statistics to estimate the value of the probability that the DRR aggregation system can successfully provide a certain amount of power for a period of time. Subsequently, by varying the values of the power to be provided and period duration, we can construct a probability-capacity-duration contour. Capacity-duration curves can be then obtained by setting the probability to desired confidence levels. The proposed method is illustrated through several examples and case studies.
KW - Demand-side management
KW - Power system reliability
KW - Stochastic systems
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U2 - 10.1109/TSG.2017.2663780
DO - 10.1109/TSG.2017.2663780
M3 - Article
AN - SCOPUS:85052755928
VL - 9
SP - 4577
EP - 4586
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
SN - 1949-3053
IS - 5
M1 - 7839997
ER -