Design of Harmony Search Algorithm Based Tuned Fuzzy Logic Power System Stabilizer

Prasad

2016

Int. J. Fuzzy Syst.

Section: Fuzzy Logic Processmentioning

confidence: 99%

“…5 can be obtained using machine data, the line data, and load flow [24,26], and are given as following in Eqs. 36,37.…”

Section: State Space Modelmentioning

confidence: 99%

Selection of Membership Functions Based on Fuzzy Rules to Design an Efficient Power System Stabilizer

Prasad

2016

Int. J. Fuzzy Syst.

“…As in [17,40,41], the PSSs can be designed by use of the linearized incremental models of power system around an operating point. The system representation based on differential equations and used data is given in [38]. The state equations of a power system can be written as…”

Section: Test System Modelmentioning

confidence: 99%

“…A mathematical analogy in between proportional derivative (PD) controller parameters and the input scaling factors of the fuzzy logic-based power system stabilizer (FPSS) is introduced. The input signal to FPSS has been considered as change in speed and acceleration, and the scaling factors in terms of the PD controller parameters have been optimized using the HSA [38]. Malik et al have considered as change in speed and change in power as an input signal to FPSS and output as correcting voltage in [39] as book chapter.…”

Section: Introductionmentioning

confidence: 99%

Optimal Tuning of Fuzzy Logic Power System Stabilizer Using Harmony Search Algorithm

Prasad

2015

Int. J. Fuzzy Syst.

Self Cite

In this paper, the design of fuzzy logic power system stabilizer (FPSS) is carried out using a harmony search algorithm (HSA) to optimize the input-output scaling factors of the fuzzy logic controller. The optimization problem is considered minimization of integral square error as an objective function with single-machine and multimachine power system. The performance of the HSA optimized FPSS with both systems is compared that of with robust FPSS; HSA tuned input scaling factors of FPSS, and particle swarm optimization tuned input-output FPSS for a wide range of operating conditions. The speed response performance for both systems is compared in terms of performance indices, and superiority of the proposed HSFPSS is validated. Keywords Fuzzy power system stabilizer Á Harmony search algorithm optimized fuzzy power system stabilizer Á Particle swarm optimization (PSO) tuned input-output FPSS Á SMIB power system Á Two-area ten-machine power system

“…Sambariya and Prasad [20], have designed a Fuzzy logic power system stabilizer, whose parameters are tuned by Harmony search algorithm. The Parameters of the PD controller are considered as the normalized factors of FPSS and Tuned using harmony search algorithm.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of PID Controller for Load Frequency Control using Harmony Search Algorithm

Shrangi

2017

IJEECS

This paper deals with soft computing technique, used for tuning PID controller. Controller tuned with a harmony search algorithm is used for controlling the frequency and Tie-line power responses of a non reheat two area power system.Step load perturbation has been given in both areas simultaneously. The dynamic results obtained by the proposed controller are compared with PID controller of recent published paper. The performance of the controllers is simulated using MATLAB/Simulation software. The results of tuned PID are compared with conventional controller on the basis of settling-time, peak over-shoot and peak under-shoot. Proposed PID gives better results than the conventional controller. The comparative results also tabulated as a comparative performance.