(1990). ENERGY FUNCTION ANALYSIS FOR POWER SYSTEM STABILITY. Electric Machines & Power Systems: Vol. 18, No. 2, pp. 209-210.

Energy function analysis for power system stability

Parameters identification of photovoltaic models using an improved JAYA optimization algorithm

Economic dispatch using chaotic bat algorithm

Optimization can be defined as an effort of generating solutions to a problem under bounded circumstances. Optimization methods have arisen from a desire to utilize existing resources in the best possible way. An important class of optimization methods is heuristic algorithms. Heuristic algorithms have generally been proposed by inspiration from the nature. For instance, Particle Swarm Optimization has been inspired by social behavior patterns of fish schooling or bird flocking. Bat algorithm is a heuristic algorithm proposed by Yang in 2010 and has been inspired by a property, named as echolocation, which guides the bats' movements during their flight and hunting even in complete darkness. In this work, local and global search characteristics of bat algorithm have been enhanced through three different methods. To validate the performance of the Enhanced Bat Algorithm (EBA), standard test functions and constrained real-world problems have been employed. The results obtained by these test sets have proven EBA superior to the standard one. Furthermore, the method proposed in this study is compared with recently published studies in the literature on real-world problems and it is proven that this method is more effective than the studies belonging to other literature on this sort of problems.

A new modification approach on bat algorithm for solving optimization problems

Optimization of Power System Stabilizers using BAT search algorithm

Analytic hierarchy process based automatic generation control of multi-area interconnected power system using Jaya algorithm

A modified bacteria foraging based optimal power flow framework for Hydro-Thermal-Wind generation system in the presence of STATCOM

Bat algorithm is a recent addition to the bioinspired algorithms, considered as a new metaheuristic algorithm based on Bat behaviour. This work presents, the optimal solution of economic load dispatch (ELD) is obtained using the proposed bat algorithm. Here the operating cost of a thermal power plant is optimized using Bat algorithm. Numerical results show that the proposed method has good convergence property and better in quality of solution than PSO and IWD reported in recent literature. The main advantage of the proposed technique is easy is implement and capable of finding feasible near global optimal solution with less computational effort. BAT algorithm is easy to implement and priory in terms of accuracy and efficiency compared to other algorithms. In order to illustrate the effectiveness of the proposed method, it has been tested on 3 and 6-unit system.

Optimal power dispatch using BAT algorithm

A synchrophasor measurement based wide-area power system stabilizer design for inter-area oscillation damping considering variable time-delays

https://accentsjournals.org/PaperDirectory/Journal/IJATEE/2016/11/4.pdf

Tapan Prakash

Papers

Analytic hierarchy process based automatic generation control of multi-area interconnected power system using Jaya algorithm

A modified bacteria foraging based optimal power flow framework for Hydro-Thermal-Wind generation system in the presence of STATCOM

Optimal power dispatch using BAT algorithm

A synchrophasor measurement based wide-area power system stabilizer design for inter-area oscillation damping considering variable time-delays

Elephant herding optimization based PID controller tuning