Simulated Annealing Optimization Method on Decentralized Fuzzy Controller of Large Scale Power Systems

Abstract

Abstract-The centralized control of large scale systems is usually infeasible due to their high dimensionality, nonlinearity, coupling, time delay and etc. In order to overcome the mentioned difficulties, this paper presents an application of decentralized fuzzy logic controller (FLC) which is optimum by Simulated Annealing (SA) algorithm on two interconnected power area for the load frequency control as a case study of large scale systems. The simulation study is undertaken, based on MATLAB / SIMULINK to demonstrate and confirm the effectiveness of proposed method.Index Terms-Fuzzy logic control; simulated annealing optimization method, large scale systems; load frequency control.

Controller Optimization for Boiler Turbine Using Simulated Annealing and Genetic Algorithm

“…If the value of objective function is better for this new state than the last current state then it is considered as the current state and next iteration of algorithm is run. This is done for preventing the algorithm from being stuck at a local minima point [1]. The worse point may also be accepted as the current state, after this comparison, with some acceptance probability given by equation (1) [2].…”