Load frequency control (LFC) of micro-hydro power plant with Capacitive Energy Storage (CES) using Bat Algorithm (BA)

Yuniahastuti, Irna Tri; Anshori, Izza; Robandi, Imam

doi:10.1109/isemantic.2016.7873828

Cited by 16 publications

(9 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The case study was carried on MATLAB/SIMULINK environmental. Table 3 shows the dynamic data of micro hydro [22], SMES, and CES used in this paper while Table 4 illustrates the optimized parameter of SMES and CES using CSA.…”

Section: Resultsmentioning

confidence: 99%

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

Djalal¹,

Setiadi

Imran

2017

J. Mechatron. Electr. Power Veh. Technol.

View full text Add to dashboard Cite

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.

show abstract

Section: Resultsmentioning

confidence: 99%

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

Djalal¹,

Setiadi

Imran

2017

J. Mechatron. Electr. Power Veh. Technol.

View full text Add to dashboard Cite

show abstract

“…Furthermore, the upper and lower limit of each parameter is shown in Table 3. Source : [6,20] Figure 6. CES-PID tuning flow diagram using ICA [8] ICA find the fitness function (minimum ITAE) after 40 iterations and the minimum value of ITAE is 0.0000000001674 as shown in Fig.…”

Section: Empire Initializationmentioning

confidence: 99%

“…Of the several studies, micro-hydro control is still not optimal because it is still based on conventional PID. Recent research has also applied smart methods for controlling frequencies on micro-hydro, such as [5] using fuzzy logic, CES application in control has also been applied in many systems, such as [6] using Cuckoo Search, [7] using Bat Algorithm. For this reason, we propose a new approach in controlling micro-hydro based CES with hybrid PID and ICA intelligent method as a CES-PID tuning method.…”

Section: Introductionmentioning

confidence: 99%

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

Djalal¹,

Yunus²,

Imran³

et al. 2018

emitter

View full text Add to dashboard Cite

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.

show abstract

“…A fuzzy logic-based selftuning PID controllers was utilized and optimized by GA for the load frequency control (Ahmadi et al, 2020). The bat algorithm was presented (Yuniahastuti et al, 2016) to tune the controller Capacitive Energy Storage. To optimize the controller parameters in an isolated hydropower system, the cuttle-fish method was developed (Khari et al,2020).Unfortunately, conventional controllers are still used in the existing hydroelectric power plants, and since their parameters are determined according to the features of the system at the stage of initial installation, they cannot adapt to the changing system dynamics as the lifespan of power plants increases.…”

Section: Introductionmentioning

confidence: 99%

Uyarlanabilir Nöro-Bulanık Çıkarım Sistemi Tabanlı Modern Kontrolörlerle Bir Hidroelektrik Santralinde Frekans Kontrolü

Tabakh

Tiryaki

Bayhan

2021

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi

View full text Add to dashboard Cite

In power systems, the constant frequency, constant voltage, and the power output are desired and determine the quality of the generated electrical energy. Therefore, frequency control is crucial in power systems. The parameters of conventional controllers used in power generation plants are determined according to the system's characteristics at the stage of installation, they cannot adapt to the changing system dynamics as the lifespan of power plants increases. Thus, studies on the automatic adaptation of controller parameters to the continuously changing system dynamics are needed. In this study, conventional PI and PID controllers applied to the power system for frequency control of a hydroelectric power plant were examined comparatively with Fuzzy Gain Scheduled PI (FGPI) controller and Adaptive Neuro-Fuzzy Inference Systembased PI (ANFIS-PI) and PID (ANFIS-PID) controllers in the simulation environment. The obtained results demonstrated that Adaptive Neuro-Fuzzy Inference System-based controllers were quite successful compared to the others.

show abstract

Load frequency control (LFC) of micro-hydro power plant with Capacitive Energy Storage (CES) using Bat Algorithm (BA)

Cited by 16 publications

References 3 publications

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

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

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

Uyarlanabilir Nöro-Bulanık Çıkarım Sistemi Tabanlı Modern Kontrolörlerle Bir Hidroelektrik Santralinde Frekans Kontrolü

Contact Info

Product

Resources

About