BFO Optimized Automatic Load Frequency Control of a Multi-Area Power System

2016 ◽  
pp. 369-412
Author(s):  
Pravat Kumar Ray ◽  
Sushmita Ekka
Keyword(s):  
Resource Utilization ◽  
Optimization Algorithm ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Simultaneous Optimization ◽  
Computational Burden ◽  
Load Frequency ◽  
Speed Regulation ◽  
Integral Controller ◽  
Bacteria Foraging Optimization Algorithm

This chapter presents an analysis on operation of Automatic Load Frequency Control (ALFC) by developing models in SIMULINK which helps us to understand the principle behind ALFC including the challenges. The three area system is being taken into account considering several important parameters of ALFC like integral controller gains (KIi), governor speed regulation parameters (Ri), and frequency bias parameters (Bi), which are being optimized by using Bacteria Foraging Optimization Algorithm (BFOA). Simultaneous optimization of certain parameters like KIi, Ri and Bi has been done which provides not only the best dynamic response for the system but also allows us to use much higher values of Ri than used in practice. This will help the power industries for easier and cheaper realization of the governor. The performance of BFOA is also investigated through the convergence characteristics which reveal that that the Bacteria Foraging Algorithm is quite faster in optimization such that there is reduction in the computational burden and also minimal use of computer resource utilization.

scholarly journals Design of 2-Dof Pid Controller for Load Frequency Control of Two Area Power System using Mfo Algorithm

2020 ◽  
Vol 9 (3) ◽  
pp. 158-161
Keyword(s):  
Heuristic Algorithm ◽  
Optimization Algorithm ◽  
Pid Controller ◽  
Frequency Control ◽  
Load Frequency Control ◽  
The Other ◽  
Load Frequency ◽  
Integral Controller ◽  
Moth Flame Optimization Algorithm ◽  
Tie Line

The paper endeavours to analyse the load frequency control for two area system. In this paper, two areas has been considered in which non-reheated type of turbine in both area are used and whose secondary loop consists a latest controller called 2 degree-of-freedom PID (2-DOF-PID) controller. The parameter of the this controller is been optimized by the latest meta heuristic algorithm also called Moth flame optimization algorithm (MFO) to minimize the deviation in frequency of area and tie-line power respectively. The same processes are repeated with PID controller and Integral controller whose parameters are also optimized by MFO. A comparison is made among the result of these and 2-DOF-PID controller prove its superiority over the other controller for minimizing the deviation which occurs in frequency of the area as well as the tie-line power.

scholarly journals Load Frequency control(LFC) of a Multiarea Restructured Hybrid Powersystem on Multi objective SSA

2019 ◽  
Vol 9 (2S3) ◽  
pp. 395-402
Keyword(s):  
Frequency Control ◽  
Test System ◽  
Optimization Techniques ◽  
Load Frequency Control ◽  
Dynamic Responses ◽  
Double Integral ◽  
Load Frequency ◽  
Multiobjective Approach ◽  
Integral Controller ◽  
Frequency Controller

The aimof the paper tune the paramters of the load frequency controller using a latest and novel algorithm named as Salp sarm of algorithm with multiobjective approach. The test system choosen is a Two area interconnected hybrid power system under deregulated-environment integrated with Distributd genertion (DG) resource.The DG systems consists of Windturbine generator(WTG), SolarPV systems, Diesels engines generators(DEG), Fuelcells with Aqua electrolyzers and Energy storages like Batteries energy storage systems(BESS). To minimise the frequency of oscillations, Secondarycontroller opted was an optimal Fuzzy PID plus double integral controller (FPID-II). The effectiveness of proposed controller is determined with the comparison of nominal PI, PID and Two degree freedom PID (TDOFPID) controller. Furthermore the dynamic responses of SSA tuned FPID-II controller are been compared with other optimization techniques. The results depit the superiority of the proposed controller in suppressing the deviations of frequency

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