Optimal Placement and Sizing of DG in Radial Distribution Networks Using SFLA

Abstract

Optimal placement and sizing of DG in distribution network is an optimization problem with continuous and discrete variables. Many researchers have used evolutionary methods for finding the optimal DG placement. This paper proposes a shuffled frog leaping algorithm (SFLA) for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total real power loss and to improve the voltage profile. The SFLA is a meta-heuristic search method inspired from the memetic evolution of a group of frogs when seeking for food. It consists of a frog leaping rule for local search and a memetic shuffling rule for global information exchange. The proposed SFL algorithm is used to determine optimal sizes and locations of multi-DGs. Test results indicate that SFLA method can obtain better results than the simple heuristic search method on the 33-bus radial distribution systems. Moreover, voltage profile improvement and branch current reduction are obtained.

Firefly algorithm based energy loss minimization approach for optimal sizing & placement of distributed generation

“…The comparison studies of these 3 cases are tabulated in Table 1. The total line power losses obtained by FA are lower than obtained by Shuffled Frog Leaping Algrithm [8].…”

“…The comparison with Shuffled Frog Leaping Algorithm (SFLA) [8] also has been conducted to see the performance of FA in solving the optimal allocation and sizing problems.…”

“…The results of FA are compared with those obtained by the method Shuffled Frog Leaping Algorithm SFLA [8]. The following three cases to study the impact of DG installation on the system performance are considered:…”

Optimization in microgrids with hybrid energy systems – A review

“…Whereas, siting deals with the problem of the placement of these generators on the distribution bus (as long transmission is not characteristic of microgrids) so as to minimize the transmission losses and to deliver the maximum quality power to the load. Many research works have been done in this field by applying various optimization methods [45][46][47].…”

An Efficient Method for THD Minimization in Multilevel Inverter’s

“…In the SFLA, there are several frogs with the same structure but different adaptabilities and each of them represents a possible solution to an optimization problem [25]. The population of frogs is shared into some frog memeplexes according to particular rules and each memeplex represents a type of meme.…”