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

✍ Scribed by Masoud Esmaili; Nima Amjady; Heidar Ali Shayanfar

• Publisher: John Wiley and Sons
• Year: 2010
• Tongue: English
• Weight: 344 KB
• Volume: 21
• Category: Article
• ISSN: 1430-144X
• DOI: 10.1002/etep.416

✦ Synopsis

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.