Bambang Sri Kaloko

Universitas Jember

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Co-Authors

Dedy Kurnia Setiawan

Universitas Jember

Triwahju Hardianto

Universitas Jember

Bambang Sujanarko

Universitas Jember

R.Y. Adhitya

Universitas Mulia

Guido Dias Kalandro

Universitas Jember

Mat Syai’in

Institut Sains dan Teknologi Terpadu Surabaya

Adi Soeprijanto

Sepuluh Nopember Institute of Technology

Adi Mulyadi

Universitas Pgri Banyuwangi

Muhammad Zainal Roisul Amin

Universitas Pgri Banyuwangi

Joko Endrasmono

Universitas Negeri Surabaya

Cooperative Institutions

Universitas Jember

Sepuluh Nopember Institute of Technology

Universitas Pgri Banyuwangi

Universitas Negeri Surabaya

Bandung Institute of Technology

University of Surabaya

Institut Sains dan Teknologi Terpadu Surabaya

Shanghai Shipbuilding Technology Research Institute

National Taiwan University of Science and Technology

Institute of Automation

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APPLICATION OF STATIC SYNCHRONOUS COMPENSATOR (STATCOM) AS REACTIVE POWER CONTROL IN DFIG WIND FARM AND GRID INTERCONNECTION SYSTEMS

Media Elektro (2023)

Dedy Kurnia Setiawan Widya Cahyadi M Agung Prawira N Bambang Sri Kaloko

The most difficult aspect of optimizing a wind farm is creating an accurate wind farm model, especially if the farm is connected to the grid. The inconsistency and unpredictability of wind speeds exacerbates this issue. When dealing with wind farms, it is possible that the reactive power addition capabilities of individual wind turbines are insufficient to meet network requirements. This is due to cable losses and line losses between the wind farm and PCC. This study employs a doubly fed induction generator (DFIG) and a Static Synchronous Compensator (STATCOM) compensator to keep the output voltage amplitude more constant. Using two PI controller loops, the STATCOM will generate reactive (capacitive) power if the DFIG voltage is lower. The STATCOM will then absorb reactive (inductive) electricity if the DFIG system voltage is greater. STATCOM's ability to regulate the flow of reactive power can increase the network's stability. By optimizing the network's reactive power, the power factor is increased and stabilized up to 0.99. In addition, the system's harmonics never exceed the 5% limit specified by the IEEE 519-1992 standard.

Static VAR compensator

Volt-ampere reactive

10.35508/jme.v0i0.10230

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Regenerative Braking Using Fuzzy Logic Control on BLDC Motor Driven Electric Vehicles

Bambang Sujanarko Fitrianik Bagas Satya Dian Nugraha Bambang Sri Kaloko

The problem that often occurs in electric vehicles is their cruising ability which is limited by the energy stored in the battery. However, there is an opportunity to increase the effectiveness of battery energy, by the braking regenerative. It converts brake energy to electric power and this electric energy then recharges the battery. For this purpose, a voltage regulator is needed so that the power generated during braking has a voltage that can be charged to the battery. In this research, the regulation voltage uses fuzzy logic. The research experiment was carried out on an electric bicycle with a Brushless Direct Current (BLDC) motor. The test results show that at 30 meter track, a braking time of 9.46 seconds, have stopping distance of 20 meters and an efficiency of 92.79%. While in the fastest braking, braking time of 7.43 seconds, the stopping distance is 7.4 meters, and produces efficiency in 97.94%.

Regenerative brake

Engine braking

Dynamic braking

10.1109/iceecit55908.2022.10030473

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Comparison of Extreme Learning Machine and Neural Network Methods on Automatic Pressure Application of Plant Air Receiver Based on Microcontroller

Erwin Santoso A. C. Chafid R. L. Stregar Mat Syai’in R.Y. Adhitya

One Chemical Company is a state-owned factory engaged in the production of fertilizers. Especially in factory which is a supporter of air needs for line to line needs in Plant Air Receiver. The air requirement is supplied by three air compressors using an electric power. Air is accommodated on a large tube that is called D923 Plant Air Receiver tube. After meet the required air pressure, air will be channeled to the Plant Air Receiver line. However, three compressors still use manual systems where the operator goes down to the plant to turn off and turn on the compressor and the compressor is still running independently. If the compressor burns continuously in hot conditions then the compressor lifetime will shorten. With the above problems, the researcher tries to create a system of air pressure plant automation receiver by using microcontroller, as a main control of the system are using ELM and NN. Both of them are used for controlling the air valve filling and air pressure measurement process using MPX5500DP sensor and compressor temperature measurement using DS18B20 to make two compressors as main compressor and backup compressor. It is expected to be used to assist in the process of control and monitoring of air filling so it can be controlled through control room.

Air compressor

10.1109/isesd.2017.8253307

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Application The Method Direct Effect Piezoelectric (DEP) Using Vibrator Engine Diesel

Bambang Sri Kaloko W Widjonarko Zulfikar Febrian

In this study using the piezoelectric direct effect (DEP) method. The existence of this method can be used to generate voltages and currents from the piezoelectric. From these data, it can be divided between series and parallel circuits to carry out the battery charging process using a diesel engine vibration. The results of this experiment, namely by using a series arrangement will get a good voltage up to a value of 10.5 volts with a voltage drop of about 3 volts so that the resulting current is about 30 mA. When using a parallel circuit the resulting voltage is less than 0.8 volts so that the battery is not filled. The estimated time taken for the research process is 50 minutes with an average power output of around 90.91 mW so that the value of the mAh is about 19.38 mAh.

Volt

Vibrator (electronic)

Voltage drop

10.1109/icomitee53461.2021.9650118

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Determination analaysis of the power losses of transformers with continuously transpored conductors (CTC) based fuzzy logic

AIP conference proceedings (2017)

Bambang Sri Kaloko Erinna Dyah Atsari

Electric motive force which flows into the iron core continuously on a plate – plate iron isolated may cause heat posed by current eddy (eddy current). No water loss occurs due to detainees on the circuit at the the flow of current load because this loss happened on the entanglement of the transformer is made of copper. Continuously Transposed Conductors (CTC) consist of a number of enameled rectangular wires (5-84 strands) made into an assembly. Each strand is transposed in turn to each position in the cable and is then covered with layers of insulation paper. Continuously Transposed Conductors are used in winding wires for medium and ultra high power transformers. CTC is manufactured by OFHC copper and indeed, is able to supply polyester roped. CTC which has been designed to reduce production cost, oil pocket and improve cooling efficiency. Hardened type CTC (CPR1, CPR2, and CPR3: BS1432) and Self-bonding CTC which can be used to improve mechanical and electrical strength are also available. This analysis is performed using the methods of fuzzy logic in taking account of the resources.

10.1063/1.4976886

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Machine Learning-Based Solar Panel System Failure Detection Using Random Forest, Gradient Boosting, and AdaBoost

Ramadhaniar Eka W W Widjonarko Bambang Sri Kaloko Muhammad Alfarizqi

AdaBoost

Boosting

Gradient boosting

Ensemble Learning

10.1109/iceecit63698.2024.10859492

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Performance Analysis of Lithium Polymer Pack and Lithium Ion Pack Batteries With Load Variations

Bambang Sri Kaloko Denni Kurniawan Satryo Budi Utomo Guido Dias Kalandro Gamma Aditya Rahardi

Battery pack

10.1109/iceecit63698.2024.10859888

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Design of Lighting System and Watering Automation Based Internet of Things with Message Queuing Telemetry Transport Protocol and Framework Flutter

Zenodo (CERN European Organization for Nuclear Research) (2022)

Ardianto Syaifur Rohman Bambang Sujanarko Bambang Sri Kaloko

Message queue

MQTT

10.5281/zenodo.7347542

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Peningkatan Pengetahuan Masyarakat Desa Bungatan Kabupaten Situbondo Tentang Sanitasi Lingkungan

TEKIBA Jurnal Teknologi dan Pengabdian Masyarakat (2023)

Bambang Sri Kaloko Lestyo Wulandari M. Zainal Roisul Amin Muhamad Khoirul Anam

KKN is activities carried out by students to integrate academic learning with practical experience in the field. Students who undergo KKN will socialize with the surrounding community, identify problems that occur at the KKN location, and find solutions that are relevant to these problems. The results of problem identification by students in Bungatan Village were the lack of public concern for environmental cleanliness and the absence of a Garbage Disposal Site. For this reason, group 160 KKN students stationed in Bungatan Village held a socialization activity on Bungatan Can Clean from Garbage (Busa-Busa). The activity aims to provide knowledge to the Bungatan Village Community regarding the types of waste, how to manage it, and invite all elements of the village apparatus to hold TPS and waste management from TPS to TPA. After this activity, it is hoped that the Bungatan Village Community will become more concerned with the surrounding environment.

Socialization

Identification

10.36526/tekiba.v3i2.3118

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Control and monitoring system optimalization of combustion in furnace boiler prototype at industrial steam power plant with comparison of Neural Network (NN) and Extreme Learning Machine (ELM) method

Ariska Aulia Rahmanda Adi Soeprijanto Aminu Labaran Muhammad Mat Syai’in R.Y. Adhitya

This paper is presenting a design and research studies in industrial steam power plant system called "control and monitoring system to optimize the combustion process in the furnace boiler prototype with comparison of neural network and extreme learning machine". Comparison between Neural Network and ELM (Extreme Learning Machine) methods will be used to this combustion control system and will be implemented in a prototype with microcontroller. This prototype is using the value of temperature sensor and value of smoke sensor in the furnace as parameter of heat to control the flow of air and fuel oil. The temperature sensor in this research is type K Thermocouple. The smoke sensor is MQ sensor. This prototype also used fan and pump oil as an actuator. Fans are used to supply the oxygen and pump is used to supply the fuel oil. From the experimental result, this prototype shows the optimization of combustion system using ELM (Extreme Learning Machine) method can work well compared with NN (Neural Network) method. ELM Control System has a very good response and it can work well (RMSE = 6,32456E-05). So, if the system is applied in the industrial steam power plant, it can improve the performance of combustion control systems and able to save the fuel.

Steam power

Extreme Learning Machine

10.1109/isesd.2017.8253317

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