A hybrid algorithm for voltage stability enhancement of distribution systems

Abstract

This paper presents a hybrid algorithm by applying a hybrid firefly and particle swarm optimization algorithm (HFPSO) to determine the optimal sizing of distributed generation (DG) and distribution static compensator (D-STATCOM) device. A multi-objective function is employed to enhance the voltage stability, voltage profile, and minimize the total power loss of the radial distribution system (RDS). Firstly, the voltage stability index (VSI) is applied to locate the optimal location of DG and D-STATCOM respectively. Secondly, to overcome the sup-optimal operation of existing algorithms, the HFPSO algorithm is utilized to determine the optimal size of both DG and D-STATCOM. Verification of the proposed algorithm has achieved on the standard IEEE 33-bus and Iraqi 65-bus radial distribution systems through simulation using MATLAB. Comprehensive simulation results of four different cases show that the proposed HFPSO demonstrates significant improvements over other existing algorithms in supporting voltage stability and loss reduction in distribution networks. Furthermore, comparisons have achieved to demonstrate the superiority of HFPSO algorithms over other techniques due to its ability to determine the global optimum solution by easy way and speed converge feature.

Firefly algorithm tuning of PID position control of DC motor using parameter estimator toolbox

“…Moreover, the optimization also aims to optimize power systems by improving efficiency, reducing power loss, enhancing the stability index, controlling power flow and supporting voltage stability. They use different optimization approaches such as particle swarm optimization (PSO), FA, and backtracking search algorithm (BSA) to solve complex problems related to power systems optimization [40]- [44]. Hybrid optimization techniques are also explored, combining FA and ACO to solve multi-depot multiple travelling salesman problems, achieving faster convergence and superior performance in optimizing sea transportation routes [45].…”

A unified power flow controller-based robust damping controller considering time delay in electrical power systems

“…It should be noted that in the study of dynamic stability, the linearized model of the system is used, and in order to design the controllers that dampen fluctuations based on FACTS devices, these devices must be included in the linear model of the system. Among the works in the field of linearization of FACTS devices, we can refer to [44], which deals with the linear modeling of synchronous series compensator (SSSC), static synchronous compensator (STATCOM), and UPFC in single-machine and multi-machine power systems and the modification of the Heffron-Phillips model so that all three devices have reached a similar structure with minor differences for the modified Heffron-Phillips model [1], [3], [10], [15], [17], [22], [25], [27], [31], [45]- [71]. In these articles, several methods have been used to select the feedback signal for the complementary controller.…”

Radio-frequency circular integrated inductors sizing optimization using bio-inspired techniques

“…Radio-frequency circular integrated inductors sizing optimization using … (Imad El Hajjami) 6321 such as artificial bee colony (ABC) [8], [9], genetic algorithms (GA) [10], [11], tabu search (TS) [12], simulated annealing (SA) [13], differential evolution (DE) [14], [15], ant colony optimization (ACO) [16], [17], Jaya algorithm (JA) [18], particle swarm optimization (PSO) [19], [20], salp swarm algorithm (SSA) [21], firefly algorithm (FA) [22], and the gravitational search algorithm (GSA) [23].…”