Dynamic Load Models for Voltage Stability Studies with a Solution of UPFC using CSO
Author(s) -
G NaveenKumar,
M. Surya Kalavathi
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/20374-2589
Subject(s) - computer science , stability (learning theory) , voltage , dynamic simulation , control theory (sociology) , operations research , simulation , electrical engineering , artificial intelligence , machine learning , mathematics , control (management) , engineering
Efficient load models are essential and important for power system load modeling constraint voltage stability studies. Dynamic load models allow a more precise calculation of stability limits that are critical in the planning and operation of power systems. Voltage stability which defines ability of a power network to maintain steady voltages deals with many a kind of disturbance parameters. Variation in loads is considered one such category of disturbance which may result to instability. In this paper, we are trying to analyze modeling parameters of loads for voltage stability studies. We are performing a dynamic load modeling study. The accuracy and correctness of the results are directly related to the load models used in this analysis. The method is analyzed using continuation power flow routine. FACTS technology with a combination of Cat Swarm Optimization heuristic approach is applied to give a solution for the problem of instability. The effectiveness of the proposed method is demonstrated through quantitative studies on standard IEEE 6 bus and 14 bus networks.
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