Capacitive Energy Storage (CES) Optimization For Load Frequency Control in Micro Hydro Power Plant Using Imperialist Competitive Algorithm (ICA)

Abstract

This paper presents a method for enhancing the frequency performance of micro hydro power plant by adding an additional device called capacitive energy storage (CES). A modification has been made by adding PID controller as additional controller of CES. Furthermore, to obtain the optimal parameter of CES, an optimization approach called imperialist competitive algorithm (ICA) is used as an optimization method. From the simulation results show that by adding CES-PID the frequency performance of the micro hydro power system is enhanced significantly. Moreover, the best performance is performed by a system with CES-PID optimized by ICA indicated by smallest overshoot. The analysis result obtained small overshoot response by using PID-CES controller that is equal to -1.371e-05pu, for system without controller equal to -0.000318 pu. By comparison, several scenarios for control methods are used.

Characteristic of Current Diffusion on Double-Plate Conductor for Smaller Resistive Load

“…The formula above becomes the fundamental of superconductor development where the coil is placed in the very extreme low temperature (cryogenic state). This superconducting coil could store energy in very high efficiency [3], applied in wind turbine generators [4][5][6], and in micro hydro [7,8]. Meanwhile, energy storage that performed from electrical field normally occurs due to the difference capacitance among some parts including the difference on their voltages.…”

Smart Frequency Control using Coordinated RFB and TCPS based on Firefly Algorithm

“…There is a lot of type of metaheuristic algorithm that has been used to solve optimization problems in the last few decades. The application of metaheuristic for solving optimization problems has been developed significantly over the past few decades as reported in [21][22][23][24][25]. The application of cuckoo search algorithm to tuning the parameter of SMES and CES is reported in [21].…”

“…The application of particle swarm optimization and differential evolution algorithm for designing the blade pitch angle wind turbine is reported in [23]. The application of imperialist competitive algorithm for solving frequency stability problems in small-scale power systems is reported in [24]. Furthermore, the application of craziness particle swarm for designing dual input of power system stabilizer is reported in [25].…”

Optimal Power Flow using Fuzzy-Firefly Algorithm

“…Optimizing parameter of blade pitch angle wind turbine using hybrid differential evolution algorithm-particle swarm optimization is explained in [10]. Application of imperialist competitive algorithm for designing capacitive energy storage parameter as load frequency controller of micro hydro is described in [11].…”