Reactualization of a Modified Single Machine to Infinite Bus Model to Multimachine System Steady State Stability Analysis Studies Using Losses Network Concepts and Radial Basis Function Neural Network (RBFNN)
| Autor: | Adi Soeprijanto, Rusilawati Rusilawati, Rony Seto Wibowo |
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| Rok vydání: | 2017 |
| Předmět: |
Engineering
Generator (computer programming) business.industry Mechanical Engineering General Chemical Engineering Value (computer science) Equivalent impedance transforms Stability (probability) Instability Radial basis function neural Control theory Modeling and Simulation Limit (music) Range (statistics) Electrical and Electronic Engineering business |
| Zdroj: | International Review on Modelling and Simulations (IREMOS). 10:112 |
| ISSN: | 1974-983X 1974-9821 |
| Popis: | To analyze the stability of each generator, the multimachine system must be changed into a Modified Single Machine to Infinite Bus (M-SMIB ) system. This paper proposes a method to change the multimachine system into a M-SMIB system with an equivalent impedance and an equivalent load by determining the contribution of each generator to a loading value using a simple technique. After the M-SMIB system is obtained, a steady-state stability analysis can be performed on each generator unit. In this paper, the maximum generation value which is the generator steady state stability limit, is determined. The Radial Basis Function Neural Network (RBFNN) is applied to determine the range area of generator steady state stability with the variable load to observe the influence of load variation in the generator steady state stability area. Thus, the area of safe operation of the generator can be directly observed without causing instability of the system. Therefore, the steady state stability limits of each generator unit can be directly determined every time there is a change of loading and recognize the operation limit of each generator during disturbances occurring on the bus. This method will be applied to a 4-bus IEEE system with 2 generators. |
| Databáze: | OpenAIRE |
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