The influence of load on risk-Based small-Disturbance security profile of a power system

Hasan, K, Preece, R and Milanovic, J 2018, 'The influence of load on risk-Based small-Disturbance security profile of a power system', IEEE Transactions on Power Systems, vol. 33, no. 1, pp. 557-566.


Document type: Journal Article
Collection: Journal Articles

Title The influence of load on risk-Based small-Disturbance security profile of a power system
Author(s) Hasan, K
Preece, R
Milanovic, J
Year 2018
Journal name IEEE Transactions on Power Systems
Volume number 33
Issue number 1
Start page 557
End page 566
Total pages 10
Publisher IEEE
Abstract This paper establishes a generic severity function that can be used to produce power system security risk profiles. It is illustrated by analyzing the impacts of system load attributes on the small-disturbance rotor angle stability of a power system. The load attributes contributing to the oscillatory modes can be considered as inherent uncertain variables within power systems and include load power variations, load composition, and load model parameters. Uncertainty in the renewable power generation is also incorporated in the probabilistic modelling and risk assessment to demonstrate the flexibility of the approach. A novel approach is proposed to select the severity functions to logically represent small-disturbance security margin. The risk profile of a power system has been presented considering the probability density functions of power system critical modal damping and a selected set of severity functions. The analysis techniques developed are illustrated with a modified version of the 68-bus NETS-NYPS power system with a high amount of renewable power penetration. The relative importance of the load attributes and the impact of these attributes on stability boundaries have been identified at varying risk levels with respect to their contribution to small-disturbance stability.
Subject Renewable Power and Energy Systems Engineering (excl. Solar Cells)
Keyword(s) Load modelling
Power system analysis computing
Probabilistic assessment
Risk analysis
Small-signal stability
Uncertainty
DOI - identifier 10.1109/TPWRS.2017.2693502
Copyright notice © 2017 IEEE
ISSN 0885-8950
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