Stochastic multi-objective congestion management in power markets improving voltage and transient stabilities

Abstract

Congestion management is traditionally done using deterministic values of power system parameters. After relieving congestion using conventional methods, the network may be operated with a low voltage or transient stability margin because of hitting security limits. In this paper, a stochastic multi-objective framework considering power system uncertainties is proposed to enhance voltage and transient stabilities after congestion management. The uncertainty sources incorporate contingencies of generating units and branches. The proposed multi-objective framework simultaneously optimizes competing objective functions of congestion management cost, voltage security, and dynamic security under a stochastic framework. The proposed framework not only captures a more uncertainty spectrum of the power system compared with deterministic methods, but also establishes a sufficient level of voltage and dynamic security after congestion management. Results of testing the proposed framework and previous congestion management methods on the New-England power system, discussed in detail, elaborate the efficiency of the proposed framework. Copyright © 2010 John Wiley & Sons, Ltd.