RANCANG BANGUN MONITORING KINERJA SOLAR CELL MENGGUNAKAN SIMULINK

RANCANG BANGUN MONITORING KINERJA SOLAR CELL MENGGUNAKAN SIMULIN

PEMODELAN GUI BERBASIS QUADRATIC PROGRAMING UNTUK OPTIMASI PEMBANGKITAN PADA SISTEM SULSELRABAR

Dalam mengantisipasi order dari UP2B untuk beban tertentu selain beban maksimal, PLTU Barru harus mampu mengetahui unit mana yang lebih ekonomis untuk dioperasikan dengan beban lebih tinggi. Dimana nilai ekonomis dapat dilihat dari pemakaian batu bara yang lebih efisien. Hal tersebut bertujuan untuk PLTU Barru tetap dapat mengambil keuntungan lebih banyak disaat terdapat order beban selain beban maksimal dari UP2B. Dalam penelitian ini mambahas perbandingan metode ekonomi dispatch untuk memaksimalkan kondisi pada PLTU Barru yang tidak lagi di-order dispatcher secara maksimal. Sehingga operator PLTU Barru dapat menentukan pembagian alokasi daya yang di-order dispatcher ke dua unit pembangkit PLTU Barru. Metode yang digunakan dalam penelitian ini adalah metode quadratic programing. Dasar dari perhitungan ialah menghitung terlebih dahulu karakteristik pemakaian bahan bakar unit pembangkit saat beroperasi dalam satu hari. Data utama yang diambil ialah data hasil produksi listrik yang dikeluarkan generator dan pemakaian bahan bakar diambil dari flow coal feeder. Berdasarkan hasil penelitian diketahui bahwa metode quadratic programing dapat menghemat biaya produksi Rp. 7,34 per KWH

PENINGKATAN STABILITAS SISTEM SULSELRABAR DENGAN DUAL INPUT POWER SYSTEM STABILIZER PADA KONTINGENSI N-1

Studi kontingensi system tenaga adalah hal yang sangat penting, karena sistem harus dirancang dan dioperasikan sehingga apabila terjadi kontingensi (N-1) atau lepasnya suatu elemen sistem baik generator maupun saluran transmisi tidak akan mengalami kehilangan beban. Penelitian tentang analisis kontingensi N-1 pada sistem tenaga listrik perlu dilakukan, karena memiliki karakteristik yang berbeda dengan kondisi saat sistem beroperasi secara normal. Ketidakstabilan sistem Sulselrabar dalam kondisi normal akan menjadi acuan bagi peneliti untuk membahas kondisi sistem saat sistem tidak beroperasi secara normal seperti kontingensi N-1. Analisis kontingensi N-1 di sini berada di tengah-tengah garis Sidrap-Maros. Garis tengah Sidrap-Maros adalah garis yang menghubungkan daerah-daerah pusat beban. Salah satu metode yang diusulkan disini adalah penambahan Dual Input Power System Stabilizer (DIPPS). Dari hasil simulasi didapatkan kinerja sistem Sulselrabar saat kontingensi N-1 lebih optimal dengan menggunakan DIPSS, hal tersebut ditinjau dari karakteristik osilasi kecepatan generator yang minimum, deviasi respon sudut rotor yang baik, serta nilai eigenvalue yang semakin negatif. Untuk membandingkan kinerja sistem yang diusulkan, digunakan PSS konvensional dengan satu input

Using Particle Swarm Optimization for Power System Stabilizer and energy storage in the SMIB system under load shedding conditions

Generator instability, which manifests as oscillations in frequency and rotor angle, is brought on by sudden disruptions in the power supply. Power System Stabilizer (PSS) and Energy Storage are additional controllers that enhance generator stability. Energy storage types include superconducting magnetic (SMES) and capacitive (CES) storage. If the correct settings are employed, PSS, SMES, and CES coordination can boost system performance. It is necessary to use accurate and effective PSS, SMES, and CES tuning techniques. Artificial intelligence techniques can replace traditional trial-and-error tuning techniques and assist in adjusting controller parameters. According to this study, the PSS, SMES, and CES parameters can be optimized using a method based on particle swarm optimization (PSO). Based on the investigation's findings, PSO executes quick and accurate calculations in the fifth iteration with a fitness function value of 0.007813. The PSO aims to reduce the integral time absolute error (ITAE). With the addition of a load-shedding instance, the case study utilized the Single Machine Infinite Bus (SMIB) technology. The frequency response and rotor angle of the SMIB system are shown via time domain simulation. The analysis's findings demonstrate that the controller combination can offer stability, reducing overshoot oscillations and enabling quick settling times.

DESIGN OF OPTIMAL PID CONTROLLER FOR THREE PHASE INDUCTION MOTOR BASED ON ANT COLONY OPTIMIZATION

Speed control of an induction motor is an important part of the operation of an induction motor. One method of regulating motor speed is the addition of a PID controller. PID parameters must be tuned properly to get the optimal speed. In this study, the PID controller tuning method uses an artificial intelligence method based on Ant Colony Optimization (ACO). ACO algorithm in an intelligent algorithm that is inspired by the behavior of ants looking for food sources in groups with traces of feromone left behind. In this study, food sources are represented as optimal parameters of PID. From the computational results obtained optimal parameters respectively, P (Proportional) 0.5359, I (Integral) 0.1173, D (Derivative) 0.0427. ACO computing found the optimal parameters in the 21st iteration with a minimum fitness function of 11.8914. Case studies are used with two variations of the speed of the induction motor input. With optimal tuning, the performance of the induction motor is increasing, marked by a minimum overshoot of 1.08 pu and a speed variation of both overshoots of 1,201 pu, whereas without control 1.49 pu and 1.28 pu, as well as with PID trial control of 1.22 pu and 1.23 pu respectively. The benefits of this research can be used as a reference for the operation of induction motors, by tuning the Ant Colony intelligent method for the PID controller in real-time with the addition of microcontroller components

Pemodelan Peramalan Beban pada System Sulselrabar Menggunakan Tipe-2 Logika Fuzzy

Penelitian ini mengusulkan pendekatan pemodelan untuk peramalan beban jangka pendek 24 jam berdasarkan logika fuzzy tipe-2. Dalam penelitian ini didapatkan suatu pendekatan dalam merancang model peramalan beban, dimana sebelumnya masih menggunakan logika fuzzy konvensional. Implementasi peramalan beban pada penelitian ini dilakukan pada sistem kelistrikan 150 kV Sulselrabar. Sistem kelistrikan Sulselrabar dalam perkembangannya mengalami perkembangan yang pesat, oleh karena itu diperlukan suatu penelitian yang dapat meningkatkan performansi sistem tersebut, salah satunya adalah studi peramalan beban jangka pendek. Sebagai data input digunakan data beban dari tahun 2010 sampai dengan tahun 2016 pada hari yang sama yaitu tanggal 8 Januari. Untuk melihat keakuratan hasil, dilakukan dua pendekatan, yaitu logika fuzzy tipe-1 yang dimodelkan menggunakan Simulink dan logika fuzzy tipe-2 dengan menggunakan m-file Matlab. Dari hasil analisis diperoleh Mean Percentage Error (MAPE) paling kecil dengan menggunakan metode Fuzzy Logic Type-2, dibandingkan dengan metode Fuzzy Logic Type-1. Dimana, MAPE untuk metode fuzzy logic tipe-1 adalah 2.1%, dan dengan menggunakan metode logika fuzzy tipe-2, MAPE adalah 1.7%

BAT ALGORITHM IMPLEMENTATION TO OPTIMALLY DESIGN THE STABILIZER POWER SYSTEM ON THE SUPPA GENERATOR

One of the control devices that can be used to strengthen the performance of PLTU Suppa is the installation of Power System Stabilizer. The problem of using Power System Stabilizer (PSS) in generator excitation is how to determine the optimal PSS parameter. To overcome these problems, the authors use a method of intelligent bats to design PSS. Bat's algorithm will work based on the specified destination function, which is an Integral Time Absolute Error (ITAE). In this research, we will see the deviation response of velocity and the rotor angle of the suppa generator in case of interference. The results of the analysis show that the uncontrolled system produces oscillation overshoot speed of -0.02437 pu to 0.006517 pu, conventional PSS about -0.02186 pu to 0.004623 pu and with PSS Bat overshoot of -0.01507 pu up to 0.0006223 pu. A loop for rotor angle response shows good results with reduced oscillation and rapidly leading to steady-state conditions. From the analysis results can be concluded, the performance of suppa generator is increased with the installation of Power System Stabilizer with optimal PSS parameters, with parameters respectively Kpss = 32.2077, T1 = 0.0173, T2 = 0.0401, T3 = 0.9174, T4 = 1.2575

PEMODELAN IDENTIFIKASI PEMAKAIAN BEBAN SOLAR PANEL BERBASIS ARTIFICIAL NEURAL NETWORK

PEMODELAN IDENTIFIKASI PEMAKAIAN BEBAN SOLAR PANEL BERBASIS ARTIFICIAL NEURAL NETWOR

OPTIMAL DESIGN PSS-PID CONTROL ON SINGLE MACHINE INFINITE BUS USING ANT COLONY OPTIMIZATION

Optimization of the controller in a generator can improve system performance. The right parameter optimization is needed to get the optimal performance from the controller. The application of the artificial intelligence method as a parameter optimization method is proposed in this study. By using the smart method based on Ant Colony, the optimal PSS-PID parameters are obtained. With optimal tuning, the system gets optimal Single Machine Infinite Bus (SMIB) system frequency and rotor angle response, indicated by the minimum overshot system response. The SMIB system's stability will be tested. A case study of adding and reducing loads is used, with the proposed control method PSS-PID being optimized using Ant Colony. Based on the analysis using the proposed PSS-PID control, we get the minimum overshoot for the frequency response and rotor angle of the SMIB system. When the load changes at 20 seconds, using the PSS-PID control scheme, the minimum overshoot is -4.316e-06 to 7.598e-05 pu with a settling time of 22.01s. For the rotor angle overshoot response, using the PSS-PID control scheme, the minimum overshoot is -0.01113 to -0.009669 pu with a settling time of 22.36s

Optimal design of energy storage for load frequency control in micro hydro power plant using Bat Algorithm

The rotational speed of a generator affects the frequency and voltage produced, where this change will affect the load side. For that we need a control equipment that can optimize the performance of micro-hydro. Therefore, we need a technology to optimize the performance of micro hydro by applying Load Frequency Control (LFC). LFC designed by implementing Superconducting Magnetic Energy Storage (SMES) and Capacitive Energy Storage (CES), this application will provide power compensation to reduce or even eliminate frequency oscillations caused by changes in consumer electrical power loads. To get optimal microhydro performance, it is necessary to set the right parameters for SMES and CES. SMES and CES parameter tuning in this study is proposed using the Bat Algorithm. The objective function used by this algorithm is to optimize the Integral Time Absolute Error (ITAE). For performance analysis, the system is tested with load changes, then the governor, turbine, and system frequency responses are analyzed. To test the reliability of the system, this study used several scenarios of a combination of control, SMES, CES, with conventional control based on Proportional, Integral, Derivative (PID). The right control parameters will improve system performance more optimally. Optimal system performance can be seen from the response of the governor, turbine, and minimum overshoot of the frequency, as well as the fast settling time for the system to switch to steady state conditions