Application of Smart Bats Algorithm for Optimal Design of Power Stabilizer System at Sengkang Power Plant

Djalal, Muhammad Ruswandi; Yunus, Muhammad Yunus; Nawir, Herman; Imran, Ali

doi:10.29099/ijair.v1i2.26

Cited by 8 publications

(6 citation statements)

References 7 publications

(7 reference statements)

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“…Parameter PSS ditala dengan menggunakan FPA dan dibandingkan dengan metode trial & error dan algoritma kelelawar. Model algoritma kelelawar menggunakan seperti dalam [5] dan [6]. Hasil optimasi parameter PSS dengan menggunakan ketiga algoritma tersebut seperti ditunjukkan dalam Tabel 5.…”

Section: Mw = Pm -Pe -Dωunclassified

“…Overshoot terkecil didapatkan dari FPA dibandingkan algoritma Tabel 3. Analogi FPA dan penyerbukan bunga [19] Masalah Optimasi: PSS FPA mempunyai respons paling baik dibandingkan tanpa PSS dan dengan PSS trial dan PSS kelelawar, seperti yang digunakan dalam [5], [6]. Settling time yang dihasilkan juga semakin cepat menuju ke kondisi tunak saat diberikan perubahan beban dengan menggunakan PSS FPA dibandingkan dengan sistem tanpa kontrol dan PSS dengan penalaan lain.…”

Section: Mw = Pm -Pe -Dωunclassified

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PSS Tuning on Power Generator System using Flower Pollination Algorithm

Djalal¹,

Sonong²

2018

Jurnal Teknologi dan Sistem Komputer

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-This research proposed a tuning method of power system stabilizer (PSS) using an intelligent method based on flower pollination algorithm (FPA) on Pajalesang generator located in Soppeng district. The observed result is the deviation response of velocity and rotor angle in case of disturbance. The case study used as the disturbance to this generator system is a load addition of 0.05 pu. The results show that velocity deviation response without PSS is 0.01152 pu to -0.0248 pu, using PSS trial is 0.007014 pu to -0.02174 pu, using PSS bat algorithm is 0.003972 pu to -0.01865 pu, and using the proposed method of PSS flower algorithm is 0.002149 pu to -0.01678 pu. The rotor angle response shows better results with reduced oscillation and rapidly leading to the steady-state condition. I. PENDAHULUANFungsi pengontrol dalam operasi generator pada sistem tenaga listrik terletak pada governor dan eksiter di masing-masing generator. Namun, perangkat tersebut memiliki keterbatasan kinerja yang menyebabkan generator tidak dapat bekerja dengan optimal. Perubahan beban yang terjadi secara tiba-tiba dan periodik tidak dapat direspons dengan baik oleh generator sehingga dapat mempengaruhi kestabilan dinamik sistem. Respons yang kurang baik dapat menimbulkan osilasi frekuensi dalam periode yang lama. Hal itu dapat mengakibatkan pengurangan kekuatan transfer daya yang dapat diatasi menggunakan peralatan tambahan yang disebut power system stabilizer (PSS). Kontroler PSS ditambahkan pada pengatur tegangan otomatis (AVR). Fungsi dari eksiter, governor dan PSS ini adalah untuk mengatur frekuensi dan tegangan terminal secara lokal atau global pada masing-masing generator.Kestabilan dari sistem tenaga listrik yang ada, umumnya terdiri dari kestabilan keadaan tunak (steady state) dan kestabilan transient. Kestabilan transient dikaitkan dengan gangguan besar yang tiba-tiba terjadi, misalnya gangguan hubung singkat, pemutusan saluran, pemindahan atau pemutusan beban pada sistem. Kestabilan steady state berhubungan dengan kemampuan sistem tenaga listrik untuk kembali pada titik operasinya setelah gangguan kecil terjadi. Parameter sistem dikatakan stabil apabila seluruh variabel keadaannya stabil, yaitu frekuensi sistem, tegangan bus, atau sudut generator. Parameter *) Penulis korespondensi (Muhammad Ruswandi Djalal)

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Section: Mw = Pm -Pe -Dωunclassified

PSS Tuning on Power Generator System using Flower Pollination Algorithm

Djalal¹,

Sonong²

2018

Jurnal Teknologi dan Sistem Komputer

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“…The performance of the BA algorithm is very good in carrying out several optimisations, especially in the optimisation of the electric power system. The application of the BA method to the electric power system shows optimal results, such as [9] optimisation of the economical cost of generating, [10,11,12,13], optimal optimisation of Power System Stabilizer parameters to improve power system stability, and [14] optimisation of optimal power flow to reduce losses in transmission. This research proposes an approach based on the Bat Algorithm as a more optimal SMES and CES optimisation method.…”

Section: Introductionmentioning

confidence: 99%

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

Djalal¹,

Kadir²

2022

Sinergi

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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.

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“…In several previous studies, the ACO method was also used for the optimization of PID controllers [10] [11]. Several other studies related to the application of smart methods can improve generator performance, such as firefly method [2], bat algorithm [12,13,14], flower pollination [15], imperialist competitive [4], and cuckoo search [3] [5].…”

Section: Introductionmentioning

confidence: 99%

Optimal Design PSS-Pid Control on Single Machine Infinite Bus Using Ant Colony Optimization

Kadir¹,

Djalal²

2021

Sinergi

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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.

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Application of Smart Bats Algorithm for Optimal Design of Power Stabilizer System at Sengkang Power Plant

Cited by 8 publications

References 7 publications

PSS Tuning on Power Generator System using Flower Pollination Algorithm

PSS Tuning on Power Generator System using Flower Pollination Algorithm

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

Optimal Design PSS-Pid Control on Single Machine Infinite Bus Using Ant Colony Optimization

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