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Optimal Tuning of PSS Parameter Using HACDE Based on Equivalent SMIB Model

Rusilawati Rusilawati(1), Dheny Ashari(2), Uman Putra Dimas Fajar(3*), Rony Seto Wibowo(4), Adi Soeprijanto(5)

(1) Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
(2) Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
(3) Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
(4) Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
(5) Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
(*) Corresponding author


DOI: https://doi.org/10.15866/ireaco.v10i2.11056

Abstract


This paper proposesthe optimal tuning of PSS parameter using the Hybrid Adaptive Chaotic Differential Evolution (HACDE) based on equivalent SMIB model in spite of the complex interconnection multi-machine system. The interconnection of power systems has some advantages such as the increase in power system reliability and maximum power transfer but, on the other hand, these interactions make the systems difficult to analyze because it becomes larger and more complex. To simplify the analysis, first the multi-machine system is converted into an equivalent Single Machine to Infinite Bus (SMIB) model which is formed by determining the equivalent impedance obtained from the network reduction method using the losses concept based on power flow tracing. This model is fairlyenough to represent the setting of generator control equipment. Afterward, the PSS parameters is tuned using HACDE optimization methods in the SMIB system. The HACDE method is able to increase the damping of generator oscillation. The PSS tuning by using HACDE is compared with the DE and RD-PSO methods. Based on time domain and ITAE simulation results, the PSS tuned using HACDE gives better damping than by using the other methods.
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Keywords


Hybrid Adaptive Chaotic Differential Evolution (HACDE); Losses Concept; Network Reduction; Power Flow Tracing; PSS Parameter Tuning

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