[KSCI] Korea Science Citation Index Service

Power System Sensitivity Analysis for Probabilistic Small Signal Stability Assessment in a Deregulated Environment

Dong Zhao Yang (School of Information Technology and Electrical Engineering, The University of Queensland)
Pang Chee Khiang (Department of Electrical and Computer Engineering, National University of Singapore)
Zhang Pei (Electric Power Research Institute (EPRI))

Publication Information

International Journal of Control, Automation, and Systems / v.3, no.spc2, 2005 , pp. 355-362 More about this Journal

Abstract

Deregulations and market practices in power industry have brought great challenges to the system planning area. In particular, they introduce a variety of uncertainties to system planning. New techniques are required to cope with such uncertainties. As a promising approach, probabilistic methods are attracting more and more attentions by system planners. In small signal stability analysis, generation control parameters play an important role in determining the stability margin. The objective of this paper is to investigate power system state matrix sensitivity characteristics with respect to system parameter uncertainties with analytical and numerical approaches and to identify those parameters have great impact on system eigenvalues, therefore, the system stability properties. Those identified parameter variations need to be investigated with priority. The results can be used to help Regional Transmission Organizations (RTOs) and Independent System Operators (ISOs) perform planning studies under the open access environment.

Keywords

Power system stability; sensitivity analysis; probabilistic small signal stability; power system modeling; eigenvalue analysis; open access and electricity market;

Citations & Related Records

Reference

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