Cuckoo Search-based Algorithm for Optimal Shunt Capacitors Allocations in Distribution Networks

Improved meta-heuristic techniques for simultaneous capacitor and DG allocation in radial distribution networks

“…Nevertheless, a sufficient diversity is essential to explore new solution points in the problem search space. In the optimal SCs-DGs placement problem, the most promising system nodes can be identified using some sensitivity based approach [2,3,5,7,[26][27][28][29][30]. However, any sensitivity based method can only provide an approximate priority list for the system nodes suitable to place these devices.…”

“…Therefore, many researchers have squeezed the search space by reducing the number of candidate locations for SCs-DGs placement using a suitable node sensitivity analysis technique such as mentioned in [2,3,5,7,[26][27][28][29][30]. These techniques provide a node priority list from which only top few nodes are selected to redefine the problem search space.…”

“…In recent past AI-techniques such as the Genetic Algorithm (GA), Tabu Search (TS), Particle Swarm Optimization (PSO), Harmony Search Algorithm (HSA), ant colony search, fuzzy GA, Bacterial Foraging Optimization (BFO), immune-based optimization technique, integrated DE-PS, big bang-big crunch optimization, Plant Growth Simulation Algorithm (PGSA) and Artificial Bee Colony (ABC)-based algorithm have been successfully used to solve the problem of optimal allocation of SCs [3]. The AI-techniques such as Simulated Annealing (SA), GA, PSO, ABC, Modified Teaching-Learning Based Optimization (MTLBO), and HSA have also been successfully used to solve the problems of optimal allocation of DGs in distribution systems [4].…”

Simultaneous allocation of distributed resources using improved teaching learning based optimization

“…Another disadvantage of TLBO is the convergence rate, and it gets even worse when deals with higher dimension problems and hence some mechanism has to be incorporated to achieve the highest performance [31]. Furthermore, several attempts [4,5,7,9,10,12,18,21,23] have been made in order to improve the accuracy and convergence of these techniques where the problem search space is reduced using a node sensitivity based approach. In this approach, a node priority list (NPL) is prepared using small perturbations of DERs and then only top few nodes are selected from it as the candidate locations for allocation of DERs.…”

“…Several successful attempts have been made in the recent past using heuristic, analytical or population-based search techniques to solve the problem of optimal allocation of either SCs [4][5][6][7][8][9][10][11] or for DGs [12][13][14][15][16][17][18][19][20] alone while usually considering power loss, voltage profile improvement and investment cost of devices, etc. as one or more objectives.…”