OPTIMAL LOCATION AND CAPACITY OF STATCOM FOR VOLTAGE STABILITY ENHANCEMENT USING ACO PLUS GA
This project is design based on the paper "Optimal Location and Capacity of STATCOM for Voltage stability Enhancement using ACO plus GA". This project is designed with Ant Colony Optimization (ACO) plus Genetic Algorithms (GA) for optimal capacity and location of a new STATCOM with the ECI model in a power system. The simulation shows the optimal location and capacity of new STATCOM with the ECI model to enhance power system voltage stability by using GACO. The ability of the GA operated after can promote the Ant Colony Optimization (ACO) efficiency. The objective of GA is to improve the searching quality of ants by optimizing themselves to generate a better result because the ants produced randomly by pheromone process are not necessarily better. This method can not only enhance the neighborhood search but can also search the optimum solution quickly to advance convergence.
STATCOM connected to the power system
Reference Paper: Optimal Location and Capacity of STATCOM for Voltage stability Enhancement using ACO plus GA
Author’s Name: Whei-Min Lin, Kai-Hung Lu, Cong-Hui Huang, Ting-Chia Ou, and 1Yuan-Hui Li
Source: IEEE
Year: 2009
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SIMULATION VIDEO DEMO
You can DOWNLOAD Matlab code and reference paper.