Design of Optimal Input–Output Scaling Factors based Fuzzy PSS with Artificial Bee Colony Algorithm
In this project, a fuzzy logic based power system stabilizer (FPSS) is designed by tuning its input–output scaling factors. Two input signals to FPSS are considered as change of speed and change in power, and the output signal is considered as a correcting voltage signal. The normalizing factors of these signals are considered as the optimization problem with minimization of integral of square error in single machine and multi-machine power systems. These factors are optimally determined with Artificial Bee Colony algorithm (ABC) and considered as scaling factors of FPSS. The performance of power system with such a designed ABC based FPSS (ABC-FPSS. The systems considered are two-area 4-machine 10-bus for evaluating the performance of ABC-FPSS. The performance is carried out in terms of the integral of time-weighted absolute error (ITAE), integral of absolute error (IAE) and integral of square error (ISE) of speed response for systems.
Two-area 4-machine 10-bus power system. The 2nd system considered is two-area 4-machine 10-bus power system. The line-diagram of the system is shown above figure. It can be represented by many differential and algebraic equations. Consider N as the number of generators of multimachine power system, with Npss the number of power system
The parameter bounds for SMIB power system are as in equations, includes parameter bounds for both multi-machine power systems. The i stands for ith generator in the multimachine power system and Tsim refers to simulation time during optimization process and specified as 100 seconds. In the case of IEEE 10-machine power system, the value of i is 09, because 10th generator is considered as slack without controller at this generator. Considering one of the above objectives corresponding to the system under investigation, the proposed approach employs the bat algorithm with parameter bounds to solve this optimization problem for an optimal set of input–output scaling factors of FPSS.
Refernce Paper:Design of optimal input–output scaling factors based fuzzy PSS using bat algorithm
Author's Name: D.K. Sambariya, R. Gupta, R. Prasad
Source:Engineering Science and Technology,an International Journal
Year:2016
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