SMIB stability enhancement using capacitive energy storage and PID based on ant colony optimization

Abstract

Abstract This research proposes a control method in the Single Machine Infinite Bus (SMIB) system by using energy storage based on Capacitive Energy Storage (CES) and Proportional Integral Derivative (PID). The CES-PID parameter is optimized using the Ant Colony Optimization (ACO) algorithm. From the results, the ACO algorithm can quickly converge, the ACO obtained the fitness function value of 2.5054e-07, with 50 iterations. ACO found the most optimal value at the 19th iteration. With elapsed time is 59.179148 seconds. To investigate the stability of the SMIB system with CES-PID control, two case studies are applied, namely increasing and load shedding. The system analysis reviewed is time domain simulation frequency response and rotor angle, Eigenvalue analysis, and damping system. From the simulation result, it can be obtained optimal SMIB system performance with a control method based on Capacitive Energy Storage-PID.

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