Optimum D-STATCOM placement using firefly algorithm for power quality enhancement

Abstract

This paper presents a novel method to optimally place the Distribution Static Synchronous Compensator (D-STATCOM) in a distribution system using the firefly algorithm (FA) for enhancing power quality. In the proposed method, the average voltage total harmonic distortion (THD V ), average voltage deviation and total investment cost are considered as the objective functions, where voltage and power limits for individual buses are chosen as the optimization constraints. The performance of the proposed FA is investigated using the Matlab software on the radial IEEE 16bus test system. The obtained results are also compared with the particle swarm optimization and genetic algorithm. The simulation results verify the ability of FA in accurately determining the optimal location and size of the D-STATCOM in radial distribution systems.Index Terms-D-STATCOM, optimal placement, firefly algorithm, voltage sag

Optimal placement of D-STATCOM using sensitivity approaches in mesh distribution system with time variant load models under load growth

“…and to supply the required reactive power for compensation at the node where D-STATCOM is placed. Farhoodnea et al [8] used Firefly algorithm to determine the optimal size and location of D-STATCOM. Tolabi et al [9] proposed ant colony algorithm and its combination with fuzzy multi-objective approach for simultaneous placement of DG and D-STATCOM in the reconfigured network.…”

Optimal allocation of D-STATCOM and reconfiguration in radial distribution network using MOPSO algorithm in TOPSIS framework

“…Immune algorithm was used as optimization tool. Harmony search algorithm was applied to optimal location and sizing of D‐STATCOM considering minimization of the total network losses in Yuvaraj et al Optimal location of D‐STATCOM is presented to loss reduction and power quality improvement using firefly algorithm in Farhoodnea et al This paper considered economical parameters. Optimal location and sizing of D‐STATCOM are considered to reduce power loss and improvement of voltage profile using PSO algorithm in Devi and Geethanjali .…”

Modeling, optimal sizing, and allocation of DSTATCOM in unbalanced radial distribution systems using differential evolution algorithm

“…Numerous works have been reported in the field of DSTATCOM planning in balanced distribution systems . Generally, DSTATCOM planning problem is a complex optimization problem that involves the minimization of various objective functions and constraints, classifying this problem in view of objective functions such as power loss, voltage profile, voltage sag, total operational cost, load balancing index, voltage stability index, and voltage deviation index …”

“…The solution strategies for this planning problem can be broadly categorized into 2 types such as analytical approaches and population‐based optimization approaches. The population‐based optimization (PBO) algorithms are genetic algorithm, bat algorithm, binary gravitational search algorithm, immune algorithm, fuzzy shuffled frog leaping algorithm, ant colony optimization, particle swarm optimization, differential evolution (DE) algorithm, bacteria foraging algorithm, binary gravitational search algorithm, and firefly algorithm . From the literature studies, it is observed that theses optimization algorithms are found to give good results efficiently in comparison to analytic approach.…”