This work presents a methodology for optimal parameter tuning of PID controller for frequency regulation in PV-Diesel two area power system. The gains of PV generator and diesel generator are optimized in a coordinated manner by employing biologically inspired optimized algorithms like Bat Algorithm (BA) and Firefly Algorithm (FA). Transfer function model of the diesel generator is interfaced w...

Inspired by ant colony optimization algorithm, a new firefly optimization algorithm is presented which we call firefly colony optimization algorithm (FCO). Unlike the standard firefly algorithm, the proposed approach is a distributed, and constructive greedy metaheuristic which uses the positive feedback to construct greedily good solutions, and to avoid a premature convergence to low quality s...

To effectively suppress the horizontal vibration of a high-speed elevator car caused by uncertainties such as irregularity guide rails and piston wind in hoistway, this paper proposes new variable universe fuzzy control method for semi-active shoes with magnetorheological (MR) dampers based on firefly algorithm backpropagation (FA-BP) neural network (FNN). First, dynamic model system is constru...

Wind speed forecasting has an unsuperseded function in the high-efficiency operation of wind farms, and is significant in wind-related engineering studies. Back-propagation (BP) algorithms have been comprehensively employed to forecast time series that are nonlinear, irregular, and unstable. However, the single model usually overlooks the importance of data pre-processing and parameter optimiza...

Firefly algorithm is one of the new metaheuristic algorithms for optimization problems. The algorithm is inspired by the flashing behavior of fireflies. In the algorithm, randomly generated solutions will be considered as fireflies, and brightness is assigned depending on their performance on the objective function. One of the rules used to construct the algorithm is, a firefly will be attracte...

—Many real world problems are mostly time varying optimization problems, which require special mechanisms to detect changes in environment and then response to them. In this paper, combination of learning automata and firefly algorithm in order to improve the performance of firefly algorithm in dynamic environments has been proposed. In the algorithm, the firefly algorithm has been equipped wit...

Contingency analysis has been considered as critical issue in power systems because it initiates failures transmission line and failure equipment. Hence, this paper is presented Red Deer Algorithm (RDA) to manage contingency condition for improving security of the system. The proposed algorithm utilized solve Optimal Power flow (OPF) with multi-objective functions. function consisting six singl...

Clustering analysis is the process of identifying similar patterns in various types data. Heterogeneous categorical data consists on ordinal, nominal, binary, and Likert scales. The clustering solution for heterogeneous remains difficult due to partitioning complex dissimilarity features. It necessary find a high-quality techniques efficiently determine significant features This paper emphasize...