Determination of Generator Steady State Stability Limit Using Losses Concept and RBFNN

Authors

  • Rusilawati Rusilawati Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia. Department of Electrical Engineering, Akademi Teknik Pembangunan Nasional, Banjarbaru, Kalimantan Selatan, Indonesia.
  • Adi Soeprijanto Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
  • Ontoseno Penangsang Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
  • D.F. Uman P Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.

Keywords:

The Losses Concept, Equivalent Resistance, Equivalent Reactance, Generator Steady State Stability Limit, RBFNN,

Abstract

In the multimachine circumstances, it is difficult to analyze the steady state stability of each generator. In previous research, analysis of the steady state stability limit has been carried out but it only looked at the stability of the overall system. Therefore, to analyze the stability of each generator, the multimachine system must be changed into a Single Machine to Infinite Bus (SMIB) system by collecting all the loads into one central load in the infinite bus. The method to change from the multimachine system to SMIB system was presented in this paper. The multimachine system was converted into an equivalent impedance ( req and xeq ) and an equivalent load based on losses concept. After req and xeq is calculated, the value of the maximum generation of each generator units was determined using the steady state stability limit concept. By means of maximum generation, the maximum output power limit can be generated without causing instability. Generator Saguling, which is one of the generators in the Java-Bali system 500 kV was used as a observed generator. Radial Basis Function Neural Network (RBFNN) was applied to determine the maximum generation of generator Saguling on the variety load. Therefore, the determination of the maximum generation limit of generator Saguling can be determined directly at any time change of the load demand. ETAP simulation was used to validate the calculation results of the proposed method.

References

Chitra T. and Saurabh S. 2013. Analysis of Voltage Stability and Transfer Capability Enhancement of Transmission System Using Facts Controllers. Current Trends in Technology and Science ISSN : 2279-0535. 2(4).

Žaneta E. and Anton B. 2008. The Power System Steady-State Stability Analysis. AT&P journal PLUS2.

Jan V. 2013. Performance of Steady-State Voltage Stability Analysis in MATLAB Environment. Transactions on Electrical Engineering. 2(3).

Jan V. and Tomáš N. 2013. On Steady-State Voltage Stability Analysis Performance in MATLAB Environment,” Proceedings of the 2013 International Conference on Energy, Environment, Ecosystems and Development.

Jasmon G.B., PhD and Lee L.H.C.C. 1991. Stability of loadflow techniques for distribution system voltage stability analysis, IEE Proceedings-C. 138(6).

Jan V. 2011. Possible Steady-State Voltage Stability Analyses Of Electric Power Systems. Intensive Programme Renewable Energy Sources, Železná Ruda-Špièák, University of West Bohemia, Czech Republic.

David T-C W. and Nirmal-Kumar N. Voltage Collapse Scenarios in the North Island of New Zealand Electricity Market.

Badrul H. Chowdhury and Carson W. T. 2000. Voltage Stability Analysis: V –Q Power Flow Simulation Versus Dynamic Simulation, IEEE Transactions On Power Systems. 15(4).

Jasrnon G.B., PhD and Lee L.H.C.C., BEng. 1993. New Contingency Ranking Technique Incorporating A Voltage Stability Criterion. IEE Proceedings-C. 140(2).

Mesut E. B. and Felix F. W. 1989. Network Reconfiguration In Distribution Systems For Loss Reduction And Load Balancing. IEEE Transactions on Power Delivery. 4(2).

Kashem M.A., Ganapathy V. and Jasmon G.B. 2000. Network Reconf Iguration For Enhancement Of Voltage Stability In Distribution Networks. IEE Proc.-Gener. Transm. Distrib, 147(3).

Khyati.M. and Ranjit.R. 2011. Enhancement of Voltage Stability Index of Distribution System by Network Reconfiguration Including Static Load Model and Daily Load Curve. IEEE PES Innovative Smart Grid Technologies-India.

Huang Y.C. 2002. Enhanced genetic algorithm-based fuzzy multi-objective approach to distribution network reconfiguration, IEE Proc.-Gener. Transm. Distrib. 149(5).

Partha K., Sayonsom C. and Chanda C. K. 2012. Determination Of Voltage Stability In Distribution Network using ANN technique, International Journal on Electrical Engineering and Informatics. 4(2).

Himaja K., Surendra T. S. and Tara Kalyani S. 2012. Steady State Stability Analysis Of A Single Machine Power System Using Matlab, International Journal of Engineering Research & Technology (IJERT). 1(7).

Lendasse A., Lee J., de Bodt E., Wertz V., Verleysen M. 2003. Approximation by Radial Basis Function Network – Application to Option Pricing.

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Published

2017-06-01

How to Cite

Rusilawati, R., Soeprijanto, A., Penangsang, O., & Uman P, D. (2017). Determination of Generator Steady State Stability Limit Using Losses Concept and RBFNN. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2-3), 161–166. Retrieved from https://jtec.utem.edu.my/jtec/article/view/2347