A computationally efficient method for bounding impacts of multiple uncertain parameters in dynamic load models

Jae Kyeong Kim, Jin Ma, Kai Sun, Jaegul Lee, Jeonghoon Shin, Yonghak Kim, Kyeon Hur

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


This paper develops a computationally efficient method to bound the impact of multiple uncertain parameters in a dynamic load model. Load model trajectory sensitivity is first conducted on regional dynamics only (e.g., a large industrial load bus and its model for adequately representing the bus voltage dynamics) to identify critical and correlated load parameters. Systemwide trajectory sensitivity on the entire power system model is then evaluated for this reduced set of parameters, and finally, the impact of multiple uncertain parameters on the representation of power system dynamics is bounded. To reinforce this reasoning, we elaborate on the conceptual meaning of the load model trajectory sensitivity, its implication, and its applicability to the entire power grid analysis. This research also develops a fluctuation index of trajectory sensitivity to effectively rank and select the model parameters based on the impact of their perturbations on the system's dynamic performance. Case studies for the Korean power system demonstrate the validity and efficacy of the developed methods for adequately bounding the uncertainty impacts with reference to the comprehensive time-domain dynamic simulation approach.

Original languageEnglish
Article number8519330
Pages (from-to)897-907
Number of pages11
JournalIEEE Transactions on Power Systems
Issue number2
Publication statusPublished - 2019 Mar

Bibliographical note

Funding Information:
Manuscript received August 30, 2017; revised January 23, 2018, May 27, 2018, and September 27, 2018; accepted October 19, 2018. Date of publication November 1, 2018; date of current version February 18, 2019. This work was supported in part under the framework of international cooperation program managed by the National Research Foundation of Korea (No. 2017K1A4A3013579), and in part under “Human Resources Program in Energy Technology” of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (No. 20174030201540). Paper no. TPWRS-01336-2017. (Corresponding author: Kyeon Hur.) J.-K. Kim and K. Hur are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail:, jk.kim@yonsei.ac.kr; khur@yonsei.ac.kr).

Publisher Copyright:
© 1969-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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