Enhancement of Voltage Stability by Optimal Location of Static Var Compensator Using Genetic Algorithm and Particle Swarm Optimization

Abstract

Problem statement:Voltage instability and voltage collapse have been considered as a major threat to present power system networks due to their stressed operation. It is very important to do the power system analysis with respect to voltage stability. Approach: Flexible AC Transmission System (FACTS) is an alternating current transmission system incorporating power electronic-based and other static controllers to enhance controllability and increase power transfer capability. A FACTS device in a power system improves the voltage stability, reduces the power loss and also improves the load ability of the system. Results: This study investigates the application of Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to find optimal location and rated value of Static Var Compensator (SVC) device to minimize the voltage stability index, total power loss, load voltage deviation, cost of generation and cost of FACTS devices to improve voltage stability in the power system. Optimal location and rated value of SVC device have been found in different loading scenario (115%, 125% and 150% of normal loading) using PSO and GA. Conclusion/Recommendations: It is observed from the results that the voltage stability margin is improved, the voltage profile of the power system is increased, load voltage deviation is reduced and real power losses also reduced by optimally locating SVC device in the power system. The proposed algorithm is verified with the IEEE 14 bus, IEEE 30 bus and IEEE 57 bus.

Compensación reactiva en redes eléctricas de transmisión basado en programación no lineal considerando ubicación óptima de SVC

“…Sobre los modelos de 14 y 30 barras del IEEE se aplicó el algoritmo de ubicación óptima de SVC con varias restricciones y como resultado se encontró las ubicaciones más factibles al momento de ubicar SVC en los modelos estudiados, en la figura 2 y figura 3 se presenta de forma gráfica el lugar en el cual se encontrarán colocados los SVC, para el modelo de 14 barras del IEEE se encontrarán en los nodos 4, 5, 7,11 y 13 y en el modelo de 30 barras del IEEE se encontrarán en los nodos 3,6,7,9,12,16,19,22,23, 26 y 29.…”

“…La estabilidad de voltaje es la capacidad que tiene un sistema eléctrico de potencia para mantener los voltajes en las barras dentro de los rangos aceptados y establecidos, ya sea trabajando en condiciones normales o bajo perturbaciones. Los FACTS son la mejor y efectiva alternativa para mejorar el rendimiento del sistema de energía, en lugar de diseñar e instalar nuevas y complejas líneas de transmisión [6], [7].…”

An optimal allocation of UPFC and transient stability improvement of an electrical power system: IEEE-30 buses

“…After the second 2, the UPFC is located at the circuit, the voltage will be approached to its reference values, and it will keep the stability after applying the disturbance. The disturbance and islanding mode effect can also be observed in the network's potential profile in time interval [7], [12] sec., respectively. The power flow will approach its reference value and will keep stability after applying the disturbance.…”

“…Research to improve voltage stability by UPFC by applying the algorithm of continuous power flow was performed. Simulation's findings will increase the power systems stability in using UPFC [12], [13].…”

Adaptive Neuro-Fuzzy Inference System-Particle Swarm Optimization Based Stability Maintenance of Power System Networks

“…Acharya et al (2006) have proposed the method to determine the appropriate size of DG units. In previous works, intelligent techniques like fuzzy logic, neural networks, genetic algorithm and particle swarm optimization are used for distributed generation placements and estimation of distribution capacity (Kayal and Chanda, 2013;Kalaivani and Kamaraj, 2012;Aref et al, 2012), but they are being slow in convergence. The adaptivness of such methods are not substantial at dissimilar steadiness level.…”