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Appl. Sci. 2017, 7(5), 468; doi:10.3390/app7050468

Optimal System Frequency Response Model and UFLS Schemes for a Small Receiving-End Power System after Islanding

School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
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Author to whom correspondence should be addressed.
Academic Editors: José L. Bernal-Agustín and Rodolfo Dufo-López
Received: 14 March 2017 / Revised: 19 April 2017 / Accepted: 26 April 2017 / Published: 2 May 2017
(This article belongs to the Special Issue Distribution Power Systems)
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Abstract

Large frequency deviations after islanding are exceedingly critical in small receiving-end power systems. The under-frequency load shedding (UFLS) scheme is an efficient protection step for preventing system black outs. It is very important to get an exact model to design the UFLS schemes. In this paper, an optimization model to achieve the system frequency response (SFR) model either from the full-scale power system or from test records was proposed. The optimized SFR model took into account the response of governors-prime movers and the dynamic characteristics of loads developed in the modern power system. Then the UFLS schemes were designed via the optimized SFR model and particle swarm optimization (PSO) method. The time-domain simulation with the actual small receiving-end power system was presented to investigate the validity of the presented model and the developed technique. View Full-Text
Keywords: System frequency response model; under-frequency load shedding; relay parameters; particle swarm optimization System frequency response model; under-frequency load shedding; relay parameters; particle swarm optimization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Yang, D.; Liu, S.; Cai, G. Optimal System Frequency Response Model and UFLS Schemes for a Small Receiving-End Power System after Islanding. Appl. Sci. 2017, 7, 468.

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