MATEC Web Conf.
Volume 164, 2018The 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017)
|Number of page(s)||13|
|Published online||23 April 2018|
Determination of Generator Steady State Stability Limit for Multimachine System based on Network Losses Concept
Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Gedung B, C & AJ Kampus ITS Sukolilo, Surabaya 60111, Indonesia
2 Department of Electrical Engineering, Akademi Teknik Pembangunan Nasional, Grand Palace Park Jl. A.Yani km 32, Loktabat Banjarbaru 70714, Indonesia
3 Department of Electrical Engineering, Institut Teknologi Nasional, Jl. Raya Karanglo km 2, Malang 65145, Indonesia
* Corresponding author: firstname.lastname@example.org
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 only look 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 is presented in this paper. The multimachine system is converted into an equivalent impedance (req and xeq) and an equivalent load based on losses concept. After req and xeq is calculated, then by using steady state stability limit concept, the value of the maximum generation of each generator units can be determined. By means of maximum generation is the maximum output power limit that can be generated without causing unstability. ETAP simulation is used to validate the calculation results of the proposed method. The method was applied to units generator in Java Bali system 500 kV.
Key words: Equivalent reactance / Equivalent resistance / Generator steady state stability limit / Maximum generation / The losses concept
© The Authors, published by EDP Sciences, 2018
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