Day-by-day the power system is becoming heavily loaded due to the power demand. Moreover, power system may collapse if exceed its loadability limit. The consequence from overload is entire system might blackout. Blackout need to be avoided especially in industrial as they can suffer losses. Therefore, the objective of this project is to find the maximum load limit each bus can support before collapsed. The highest load value is the maximum limit of load that bus can support. Fast Voltage Stability Index (FVSI) is line stability index which is to determine the critical line of the bus but for this project the goal of FVSI is to identify the weak buses in the system. The bus that its FVSI value closes to 1 is considered as weak bus. In addition, the maximum loadability limit of bus system can be calculated using conventional methods likes Newton-Raphson method but it is quite difficult and time-consuming. Therefore, the Evolutionary Computation technique namely Particles Swarm Optimization (PSO) is used to optimize FVSI value to determine the maximum loadability limit for each bus. PSO and FVSI are tested in IEEE 6-bus system and IEEE 30-bus system. Both FVSI and PSO are simulated using MATLAB software.


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    Title :

    Maximum Loadability Limit of Power System using PSO Method



    Publication date :

    2018-12-28



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629