Frequency stability improvement of micro hydro power system using hybrid SMES and CES based on Cuckoo search algorithm

Abstract

Micro hydro has been chosen because it has advantages both economically, technically and as well as in terms of environmental friendliness. Micro hydro is suitable to be used in areas that difficult to be reached by the grid. Problems that often occur in the micro hydro system are not the constant rotation of the generator that caused by a change in load demand of the consumer. Thus causing frequency fluctuations in the system that can lead to damage both in the plant and in terms of consumer electrical appliances. The appropriate control technology should be taken to support the optimum performance of micro hydro. Therefore, this study will discuss a strategy of load frequency control by using Energy Storage. Superconducting magnetic energy storage (SMES) and capacitor energy storage (CES) are devices that can store energy in the form of a fast magnetic field in the superconducting coil. For the optimum performance, it is necessary to get the optimum tuning of SMES and CES parameters. The artificial intelligence methods, Cuckoo Search Algorithm (CSA) are used to obtain the optimum parameters in the micro hydro system. The simulation results show that the application of the CSA that use to tune the parameters of hybrid SMES-CES-PID can reduce overshoot oscillation of frequency response in micro hydro power plant.

Modal Analysis and Stability Enhancement of 150 kV Sulselrabar Electrical System u sing PSS and RFB based on Cuckoo Search Algorithm

“…This method was developed by Xin-She Yang and Deb in 2009 and can be used as an optimization method to determine the global optimum value both minimum and maximum. There are four assumption in utilizing CSA as optimization method [28,29]:…”

“…Levy flight can be presented as given in (12) with μ > 0 is a minimum steps and  is scale parameters [28,29].…”

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 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]. In [22], the small disturbance angle stability problems of power systems can be handled properly by utilizing cuckoo search algorithm.…”

Low-Frequency Oscillation Mitigation usin an Optimal Coordination of CES and PSS based on BA

“…One way out of the above dilemma is by employing an optimization method based on the nature-inspired algorithm which has been utilized to solve complex engineering problems [14][15][16][17][18][19][20][21][22]. An algorithm such as particle swarm optimization, genetic algorithm, differential evolution algorithm, imperialist competitive algorithm, artificial immune system, firefly algorithm, cuckoo search algorithm and bat algorithm were demonstrated to perform well in solving optimization problems [14][15][16][17][18][19][20][21][22]. In particular bat algorithm (BA) has shown a good performance finding the optimum parameter for optimization problems [16].…”