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Comparison of LFC Optimization on Micro-hydro using PID, CES, and SMES based Firefly Algorithm Kadaryono, Kadaryono; Rukslin, Rukslin; Ali, Machrus; Askan, Askan; Parwanti, Asnun; Cahyono, Iwan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Micro-hydro gets potential energy from water flow that has a certain height difference. Potential energy is strongly influenced by high water fall. Potential energy through pipes, incoming turbines converted into kinetic energy. The kinetic energy of the turbine coupled with the generator is converted into electrical energy. Some components used for micro-hydro power generation, among others; intake, settling basin, headrace, penstock, turbine, draft tube, generator, and control panel. Water flows through the pipe into the turbine house so it can rotate the turbine blades. Turbine rotation is used to rotate a generator at the micro hydro generator. The most common problem with micro-hydro generating systems is inconsistent generator rotation caused by changes in connected loads. Load changes can cause system frequency fluctuations and may cause damage to electrical equipment. Artificial Intelligence (AI) is used to obtain the right constants to obtain the best optimization. In this study compare the control method, namely; Proportional Integral Derivatives (PID), Capacitive Energy Storage (CES), and Superconducting Magnetic Energy Storage (SMES). This study also compared the method of artificial intelligence between Particle Swarm Optimization (PSO) method has been studied with the method of Firefly Algorithm (FA). Overall this study compares 11 methods, namely methods; uncontrolled, PID-PSO method, PID-FA method, CES-PSO method, CES-FA method, SMES-PSO method, SMES-FA method, PID-CES-PSO method, PID-CES-FA method, PID-SMES - PSO, and PID-SMES-FA method. The results of the simulation showed that from the 11 methods studied, it was found that the PID-CES-FA method has the smallest undershot value, ie -7.774e-03 pu, the smallest overshoot value, which is 4.482e-05 pu, and the fastest completion time is 7.11 s. These results indicate that the smallest frequency fluctuations are found in the PID-CES-FA controller. Thus it is stated that the PID-CES-FA method is the best method used in the previous method. This research will use other methods to get the best controller.

Optimasi Load Frequency Control (LFC) Pada Sistem Pembangkit Listrik Tenaga Mikro Hidro Berbasis PID-ANFIS Andrik, Mochamad; Farul, Mohamad; Cahyono, Iwan; Rukslin, Rukslin
Jurnal Rekayasa Mesin Vol 9, No 1 (2018)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Microhydro Power Plant is a small-scale power plant.Microhydro plants are built in areas where there is no power grid.In areas with sufficient water potential to generate electrical energy.The problem that often occurs in the micro-hydro generator system is the occurrence of non-constant generator.This is caused by changes in connected loads.Thus causing frequent fluctuations in the frequency of the system that can cause damage to electrical equipment.Therefore used Load Frequency Control (LFC) in order to control the frequency can be more stable.To get the optimal control parameter in micro hydro power plant system is used an Artificial Intelligence (AI) that is Adaptive Neuro Fuzzy Inference System (ANFIS) method. ANFIS data is taken from PID controller training data.By using PID-ANFIS control method, microhydro generating system can accelerate settling time and minimize overshoot.

Comparison of LFC Optimization on Micro-hydro using PID, CES, and SMES based Firefly Algorithm Kadaryono Kadaryono; Rukslin Rukslin; Machrus Ali; Askan Askan; Asnun Parwanti; Iwan Cahyono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Micro-hydro gets potential energy from water flow that has a certain height difference. Potential energy is strongly influenced by high water fall. Potential energy through pipes, incoming turbines converted into kinetic energy. The kinetic energy of the turbine coupled with the generator is converted into electrical energy. Some components used for micro-hydro power generation, among others; intake, settling basin, headrace, penstock, turbine, draft tube, generator, and control panel. Water flows through the pipe into the turbine house so it can rotate the turbine blades. Turbine rotation is used to rotate a generator at the micro hydro generator. The most common problem with micro-hydro generating systems is inconsistent generator rotation caused by changes in connected loads. Load changes can cause system frequency fluctuations and may cause damage to electrical equipment. Artificial Intelligence (AI) is used to obtain the right constants to obtain the best optimization. In this study compare the control method, namely; Proportional Integral Derivatives (PID), Capacitive Energy Storage (CES), and Superconducting Magnetic Energy Storage (SMES). This study also compared the method of artificial intelligence between Particle Swarm Optimization (PSO) method has been studied with the method of Firefly Algorithm (FA). Overall this study compares 11 methods, namely methods; uncontrolled, PID-PSO method, PID-FA method, CES-PSO method, CES-FA method, SMES-PSO method, SMES-FA method, PID-CES-PSO method, PID-CES-FA method, PID-SMES - PSO, and PID-SMES-FA method. The results of the simulation showed that from the 11 methods studied, it was found that the PID-CES-FA method has the smallest undershot value, ie -7.774e-03 pu, the smallest overshoot value, which is 4.482e-05 pu, and the fastest completion time is 7.11 s. These results indicate that the smallest frequency fluctuations are found in the PID-CES-FA controller. Thus it is stated that the PID-CES-FA method is the best method used in the previous method. This research will use other methods to get the best controller.

Analisis Simpang Bersinyal Dengan Metode MKJI 1997 Studi Kasus Simpang Stadion Jombang Iwan Cahyono
Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Vol. 4 No. 1 (2013): April, 2013
Publisher : FT- UNDAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jintake.v4i1.94

Seiring meningkatnya aktivitas masyarakat Kota Jombang, berakibat pula meningkatnya pola pergerakan masyarakat. Kebutuhan akan pergerakan ini harus mampu dilayani oleh jaringan jalan yang ada, termasuk di dalamnya adalah simpang. Simpang Stadion Jombang merupakan simpang bersinyal yang terletak di jalan utama Kota Jombang, karena itu volume lalu lintas yang melewatinya cukup tinggi khususnya pada jam puncak. Oleh karena itu, perlu diadakan penelitian guna mengetahui tingkat kinerja simpang dan perilaku lalu lintasnya. Dalam penelitian ini untuk keperluan analisis simpang bersinyal penulis menggunakan metode Manual Kapasitas Jalan Indonesia (MKJI) 1997. Dari analisis yang telah dilakukan, diketahui kinerja simpang Stadion Jombang pada kondisi saat ini dengan 2 fase sinyal masih relatif stabil (DS < 0,75), kapasitas masing–masing lengan yaitu lengan timur : 1214,05 smp/jam, lengan barat : 1254,37 smp/jam, lengan utara : 338,47 smp/jam dan lengan selatan sebesar 488,12 smp/jam. Sedangkan perilaku lalu lintas pada simpang Stadion Jombang yang diindikasikan dengan nilai panjang antrian pada masing-masing lengan yaitu: lengan timur 33,33 m, lengan barat 45 m, lengan utara 13,33 m dan lengan selatan sebesar 40 m. Serta nilai tundaan rata-rata yaitu sebesar11,95 detik/smp.

Kajian Lampu Lalu Lintas Di Persimpangan Jalan Yos Sudarso Nggleduk Kabupaten Tulungagung Iwan Cahyono
Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Vol. 3 No. 1 (2012): April, 2012
Publisher : FT- UNDAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jintake.v3i1.111

Seiring meningkatnya aktifitas masyarakat kota Tulungagung, berakibat pula meningkatnya pola pergerakan masyarakat. Kebutuhan akan pergerakan ini harus mampu dilayani oleh prasarana transportasi yang ada, termasuk juga di persimpangan Nggleduk Jalan Yos Sudarso Tulungagung. Kondisi arus lalu lintas yang terjadi di simpang tsb yaitu kepadatan lalu lintas yang diakibatkan oleh system sinyal lalu lintas yang ada tidak lagi relevan dengan volume lalu lintas yang melewatinya terutama pada jam puncak siang. Pengaturan sinyal lalu lintas di simpang ini sangat diperlukan untuk memberikan kenyamanan dan keselamatan bagi pengemudi kendaraan maupun pejalan kaki. Namun, adanya sinyal lalu lintas pada persimpangan mestinya dibarengi dengan kesadaaran masyarakat dalam mematuhi rambu lalu lintas yang ada. Mengingat padatnya arus lalu lintas pada simpang Nggleduk-Tulungagung sehingga penulis perlu melakukan kajian pada simpang tersebut. Berdasarkan analisis dengan menggunakan metode Manual Kapasitas Jalan Indonesia (MKJI) 1997 pada kondisi saat ini di simpang Jl. Yos Sudarso Nggleduk, dengan 3 fase sinyal kinerja simpang tidak optimal. Hal ini dapat dilihat dari nilai derajat kejenuhan (DS) pada jam puncak siang di sebagian besar lengan simpang melampaui ketentuan DS (Syarat MKJI DS £ 0,75). Adapun nilai kapasitas simpang Nggleduk sebesar 3202,52 smp/jam. Guna meningkatkan kinerja simpang Nggleduk, dilakukan perubahan fase sinyal menjadi 4 fase. Diperoleh data, bahwa kinerja simpang menjadi lebih baik dari 3 fase, terbukti nilai DS sebagian besar sudah memenuhi ketentuan DS ≤ 0,75. Namun kapasitas simpang Nggleduk Tulungagung menjadi 1964,66 smp/jam.

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