Enhancement of Power Quality by Optimal Placement of Dstatcom for Voltage Sag Mitigation Using Ann Based Approach
B.Rajani1, P.Sangameswara Raju2
1B.Rajani (Research scholar),Electrical and electronics Engineering Sri Venkateswara University college of Engineering, Tirupathi,A.P, INDIA
2Dr.P.Sangameswara Raju, Professor, S.V .University, Tirupathi, Andhra Pradesh, INDIA
Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 424-430 | Volume-2, Issue-3, July 2012. | Retrieval Number: C0792062312/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: DSTATCOM is one of the equipments for voltage sag mitigation in power systems. Voltage sag has been considered as one of the most harmful power quality problem as it may significantly affect industrial production. This paper presents an Artificial Neural Network (ANN) based approach for optimal placement of Distribution Static Compensator (DSTATCOM) to mitigate voltage sag under faults. Voltage sag under different type of short circuits has been estimated using MATLAB/SIMULINK software. Optimal location of DSTATCOM has been obtained using a feed forward neural network trained by post-fault voltage magnitude of three phases at different buses. Case studies have been performed on IEEE 30-bus system and effectiveness of proposed approach of DSTATCOM placement has been established.
Keywords: Power quality, Voltage sag mitigation, DSTATCOM,ANN.