DESIGN DETAILS
With the increase in power demand, modern power system networks are being operated under highly stressed conditions. This has resulted into the difficulty in meeting reactive power requirement and maintaining the bus voltage within acceptable limits. Voltage instability in the system occurs in the form of a progressive decay in voltage magnitude at some of the buses. The problems of voltage instability and voltage collapse are the major concerns in the operation of power system. Flexible AC Transmission System (FACTS) device in a power system improves the stability, enhances the voltage stability margin, and reduces the power losses. This Matlab design is based on identification of location of FACTS device in the power system using three algorithms using Genetic Algorithm, Particle Swarm Optimization and Hybrid Optimization Algorithm (Combination of Genetic Algorithm with Particle Swarm Optimization) to find optimal location and rated value of SVC device to minimize the voltage stability index, total power loss, load voltage deviation, cost of generation and cost of FACTS device to improve voltage stability in the power system. A comparative analysis is performed between the three algorithms.
TESTING
The design is tested on IEEE-14 and 30 Bus System considering different load percentage using Matlab 2020a. The simulation video shows the performance of the design with its result graphs/values. We have shown the Matlab program implementation of each function i.e Load Flow Analysis with the corresponding file in the simulation video to make you understand how it works.
REFERENCES
Reference Paper-1: Application of Hybrid PSOGA For Optimal Location of Svc to Improve Voltage Stability of Power System
Author’s Name: R. Kalaivani and V. Kamaraj
Source: IJEEE
Year:2012
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Негізгі бет VOLTAGE STABILITY IMPROVEMENT IN POWER SYSTEM FOR OPTIMAL LOCATION OF SVC
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