The increasing penetration of wind power plant introduces a various effect on power system stability, operation and control. Unpredictable, uncertain and fluctuating circumstances can significantly affect the performance of power system. Moreover, employment of novel technologies in wind power plant significantly alter the control characteristic and operation procedure of power system to deal with load variations and fast changing of generated power from wind-based power plant. One of the main focus in integrating large scale wind power plant is how to maintain voltage stability under transient and steady state scenarios. In this paper, effects of large-scale wind power plants on voltage stability of power system is investigated. Practical test system of South-West Sulawesi, Indonesia with integration of two large scale wind power plants are considered. Hence the novelty of this paper is to introduce new and practical test system for power system stability study considering renewable energy integration. The simulation results suggest that the additional power injection from wind power plant introduces beneficial effects on power system voltage stability performance. It was monitored that the increasing power injection from wind power plant enhanced the voltage profile (0.96 pu to 0.975 pu), voltage margin and load-ability (200 MW to 215 MW) of the system. Furthermore, it was also observed that additional power injection from wind power plant significantly improved the dynamic voltage stability performance of the power system, ensuring stable operation under transition stages when the power system was subjected to disturbances.

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Abstract-This paper presents a new architecture for multiuser remote laboratory based on an embedded web server used for experiment with the MCS-51 microcontroller system. The design for the remote lab uses a green computing approach, with the aim of reducing energy consumption, lowering the cost of procurement systems, improving performance and use, and also saving space. The remote lab system uses multi user and multi device architecture to support collaborative work and improve scalability. The design of the remote lab has n modules experiment, and each module can be accessed by a single user or a group which consists of several user. The prototype of a remote lab that has been realized consists of an embedded web server based on Raspberry Pi as the remote lab gateway and 2 experiment modules that are controlled by an embedded web server based on MCS-51 microcontroller. Development of the system is expected to contribute to creating an efficient remote lab that is able to facilitate collaborative work and support green computing.

This paper will discuss the results of research on the development of remote laboratory architectures for electronics telecommunications courses based on mobile devices. The background of study for the development of this system is to meet the demands of the world of education in the era of the industrial revolution 4.0 and the needs for online learning that is caused by the Covid-19 pandemic. Besides, with the development of cellular communication technology and mobile devices that have PC-level capabilities, mobile devices can support remote laboratory development. The design of remote laboratory system is based on an embedded system consisting of a user management server based on the Raspberry Pi 4 and an instrumentation system using Red Pitaya. Remote  Laboratory applications can be accessed using mobile devices such as Android based smart phones or tablets. The aim of the development of this remote          laboratory is to complete remote experiment activities in electronics telecommunications   courses in the Electrical Engineering study program.

The increasing demand for electrical energy and the decreasing supply of fossil fuels in recent years have increased the cost of electrical energy. So that the culture of saving electrical energy is a habit that must be cultivated in the community. On the other hand, energy-saving behavior cannot be realized massively without a support system that can control energy use. With these concerns, it is necessary to develop a method that encourages a culture of saving electrical energy. This paper proposes a system that supports active energy efficiency methods that can support an energy-efficient culture. This system is an electric power monitoring system that is integrated with a smart electrical panel that continuously monitors the use of electrical energy and can control electrical loads automatically, record electricity usage, provide comprehensive reports and analyze energy usage. The method used to carry out this research is research and development. This research has produced a prototype of electrical power control and monitoring system that has a smart panel based on a raspberry PI 3 and PZEM-004t power energy meter. The monitoring system performs and executes automatic control of electrical loads. The system can also provide reports in the form of data monitoring in daily, weekly, monthly or annual period. From the test results, it can be concluded that the system can work well. This research is expected to contribute to providing a system that can support government efforts in saving energy.

Alat absensi dengan sistem sensor Radio Frequency Identification (RFID) dan modul ESP32CAM berbasis Internet Of Things ini merupakan sistem yang dirancang untuk menggantikan sistem sidik jari agar meminimalisir sentuhan fisik karena beberapa tahun belakangan covid yang mewabah hingga menjadi pandemi dimana-mana, kemudian juga biaya perancangan alat ini lebih murah dibanding absensi dengan sistem pengenalan wajah hingga akan relevan dengan target pengaplikasian pada usaha bisnis menengah. Data identitas yang absen disini akan dideteksi melalui ID Card karyawan yang sebelumnya telah dimasukkan ke database. Pada rancangan projek ini menggunakan mikrokontroller NodeMcu ESP8266 sebagai pengolah data dari RFID kemudian data tersebut akan dikirim dan disimpan pada Web Server, pada sistem absensi ini juga ditambahkan Modul ESP32CAM yang memotret wajah pada saat melakukan absensi agar bisa menutupi kekurangan RFID yang tidak berbasis biometrik sehingga dapat mencegah kecurangan pada saat melakukan absen.

This paper presents a concept of an expert system to monitor and improve the voltage stability condition in a power system based on the L-index of load busses. This index uses the load flow analysis information from the steady state voltages condition and is in the range of 0 which is indicated for no load condition to 1 which is indicated for voltage collapse. For improving the voltage stability index the control variable consists of switchable shunt VAR compensators (SVC), OLTC transformers and generator excitation. The control of voltage collapse is based on reducing the magnitude of L-indices of critical bus for a given system operating condition based on heuristic criteria using the sensitivities (change in L-index) of load busses to different reactive power control variables. These sensitivities are stored in the knowledge base of expert system in the form of facts called voltage stability control lists. The expert system identifies the critical load busses whose L-index values are above acceptable limits. The expert system selects the corresponding voltage stability control list and recommends control action at the most effective compensator. The proposed expert system technique has been tested on a standard test system. Results obtained for a modified IEEE-30 bus standard test system are presented for illustration purposes.

Industrial worlds nowadays is encountering a change by entering industrial revolution 4.0 era. This era is also disrupting a lot of human’s activities, including science, technology and higher education. In facing industrial revolution 4.0 in education, Indonesian government has tried Cyber University program and the development of 4.0 learning, like distance learning system that is facilitated by SPADA (Indonesian online learning system). SPADA is a program of the Directorate General of Learning and Student Affairs of the Indonesian Ministry of Research, Technology and Higher Education to improve equitable access towards quality learning in higher education. Aggregator of the SPADA Indonesia is used to connect learning management system of higher education and the LMS of SPADA Indonesia. The problem in SPADA and LSM system is generally in a state of having shortcomings in the learning of engineering field, where to achieve learning outcomes, it needs facilities to do laboratory work activity. Using this background, the researchers in this research is integrating between LMS and remote laboratory system. It is expected that the solution of distance learning that integrated with remote laboratory can fulfill all resources needed to achieve learning outcomes education of the engineering field like in conventional learning.