scholarly journals Kontrol dan Monitoring Stop Kontak Berbasis Android

Author(s):  
Indra Dwisaputra ◽  
Yudhi Yudhi ◽  
K’K Anggrainy ◽  
Steven Novaldy

Pertumbuhan konsumsi listrik semakin banyak dikarenakan pertumbuhan penduduk dan ekonomi dunia. Monitoring dan kontrol konsumsi energi listrik diharapkan dapat membantu efisiensi. Salah satu perangkat yang  digunakan menghubungkan sumber listrik ke perangkat listrik adalah elektrik soket. Penelitian ini dilakukan dengan cara eksperimen dan memodifikasi stop kontak yang umum di pasaran. Stop kontak ditambahkan sensor tipe PZEM-004T yang dapat membaca tegangan, arus dan daya. Data yang diambil dari sensor kemudian dibandingkan dengan alat power quality analyzer untuk mengetahui tingkat kepresisian pengukuran. Real time clock tipe DS3231 digunakan untuk menghitung pemakaian beban secara real time. Data diolah oleh mikrokontroller kemudian mengirimkannya ke Smart phone. Pengguna dapat memonitor biaya pemakaian dalam rupiah (Rp). Komunikasi stop kontak ke Smart phone menggunakan bluetooth tipe HC-05 dengan jarak maksimal 10 m. Relay dipasang untuk memutuskan aliran listrik sesuai dengan timer yang telah diatur. Berdasarkan hasil pengujian alat data yang dimonitoring memiliki perbedaan dengan persentase 0,13% untuk tegangan, 2,26% untuk arus dan 1,75% untuk daya. Aplikasi yang dibuat bekerja dengan baik dan dapat mengontrol ON/OFF sumber listrik pada stop kontak.The growth in electricity consumption is increasing due to population growth and the world economy. Monitoring and controlling the consumption of electrical energy is expected to help efficiency. One of the devices used to connect a power source to an electrical device is an electric socket. This research was conducted by experimenting and modifying common sockets on the market. The socket is added with a sensor type PZEM-004T which can read voltage, current and power. The data taken from the sensor is then compared with a power quality analyzer to determine the level of measurement precision. Real time clock type DS3231 is used to calculate load usage in real time. The data is processed by the microcontroller and then sends it to the smartphone. Users can monitor usage fees in rupiah (Rp). Communication socket to smartphone using bluetooth type HC-05 with a maximum distance of 10 m. Relay is installed to cut off electricity according to the timer that has been set. Based on the test results, the monitored data tool has a difference with a percentage of 0.13% for voltage, 2.26% for current and 1.75% for power.

Author(s):  
Sebastien Bissey ◽  
Sebastien Jacques ◽  
Cedric Reymond ◽  
Jean-Charles Le Bunetel

The management of the electrical energy still raises a huge interest for end-users at the household level. Home electricity management systems (HEMS) have recently emerged both to warrant uninterruptible power and high power quality, and to decrease the cost of electricity consumption, by either shifting it in off peak time or smoothing it. Such a HEMS requires a bidirectional DC-AC converter, specifically when an energy transfer is required between a storage system and the AC-grid, and vice versa. This article points out the relevance of an innovative topology based on sinusoidal waveforms from the generation of sine half-waves. Such a topology is based on a DC-DC stage equivalent to an adjustable output voltage source and a DC-AC stage (H-bridge) which are in series. The results of a complete experimental procedure prove the feasibility to improve the power quality of the output signals in terms of total harmonic distortion (THD-values about 5%). The complexity of the proposed converter is minimized in comparison with multilevel topologies. Finally, wide band-gap semiconductor devices (SiC MOSFETs) are helpful both to warrant the compactness and the high efficiency (about 96%) of the bidirectional converter, whatever its operation mode (inverter or rectifier mode).


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1348
Author(s):  
María Dolores Borrás-Talavera ◽  
Juan Carlos Bravo ◽  
César Álvarez-Arroyo

The stability of power systems is very sensitive to voltage or current variations caused by the discontinuous supply of renewable power feeders. Moreover, the impact of these anomalies varies depending on the sensitivity/resilience of customer and transmission system equipment to those deviations. From any of these points of view, an instantaneous characterization of power quality (PQ) aspects becomes an important task. For this purpose, a wavelet-based power quality indices (PQIs) are introduced in this paper. An instantaneous disturbance index (ITD(t)) and a Global Disturbance Ratio index (GDR) are defined to integrally reflect the PQ level in Power Distribution Networks (PDN) under steady-state and/or transient conditions. With only these two indices it is possible to quantify the effects of non-stationary disturbances with high resolution and precision. These PQIs offer an advantage over other similar because of the suitable choice of mother wavelet function that permits to minimize leakage errors between wavelet levels. The wavelet-based algorithms which give rise to these PQIs can be implemented in smart sensors and used for monitoring purposes in PDN. The applicability of the proposed indices is validated by using a real-time experimental platform. In this emulated power system, signals are generated and real-time data are analyzed by a specifically designed software. The effectiveness of this method of detection and identification of disturbances has been proven by comparing the proposed PQIs with classical indices. The results confirm that the proposed method efficiently extracts the characteristics of each component from the multi-event test signals and thus clearly indicates the combined effect of these events through an accurate estimation of the PQIs.


Power Quality (PQ) issues and its alleviation techniques are becoming one of the vital research topics, soon after the integration of power electronic devices in power system. The non-linear nature of equipment’s introduces PQ issues such as voltage sag, swell, harmonics, unbalance and transients etc. and cause damage of end user equipment’s. Poor PQ has become a vital issue which affects production and profit of both utilities and consumers. Therefore continuous monitoring and assessment of PQ is essential for finding optimal solution to analyze and mitigate various PQ problems and also maintain quality of power within the prescribed limit. For PQ analysis, it is very difficult to generate power quality events in real life in order to observe the effects or to study their characteristics. Now days, various physical PQ analyzers are available in market to continuously monitor, analyze and record PQ problems. The major drawback of this analyzer is its hardware design, complexity and its cost which limits its usage to many places. Thus online PQ monitoring is a very big challenge for researches. This paper presents modeling and simulation of virtual PQ analyzer using Lab VIEW. Lab VIEW supports a lot of library functions for an acquisition, analysis of data and also the control of instruments. This software is mainly used to model standard real instruments used in laboratories by providing more flexibility. The proposed PQ analyzer is capable of generating, identifying various PQ problems and also measuring PQ parameters RMS Voltage (Vrms), RMS Current (Irms), Total Harmonic Distortion (THD), Real, Reactive and Apparent Power from the test system. Using Lab VIEW software, a complete quality analysis of electric energy can be done online at the user's location. So that the selection of custom power devices and mitigation methods for PQ problems can be done in a perfect manner. This RTPQ analyzer is tested using real time data of hardware are acquired by the construction of test systems such as rectifier with various resistive and inductive loads. ALL PQ parameters measured using proposed PQ Analyzer are also compared with the parameters measured using fluke PQ Analyzer. The response attained has proven that the accuracy and precision of the proposed analyzer can also be used as a very good cost effective tool for online PQ study.


Author(s):  
Benriwati Maharmi ◽  
Toriq Kardova ◽  
Ermawati

The use of controlled and efficient electrical energy can save the cost of electricity expenditure. This study aims to design the cost saving energy tool for household scale of lighting using automatic microcontroller system. The design of the appliance used the automatic control system of home lights, which setting time using RTC (Real Time Clock) and a microcontroller Arduino Mega 2560. Power supply on this system was operated to supply power all existing components and controller using Arduino Mega 2560 microcontroller. Based on the test results, the cost-saving energy tool worked as an expectation of controlling the On/Off lights automatically, the RTC and current sensors can work properly to limit the current. Therefore, this design proposed can reduce the cost of electrical energy.


10.2196/18707 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e18707 ◽  
Author(s):  
Wade L Schulz ◽  
Thomas J S Durant ◽  
Charles J Torre Jr ◽  
Allen L Hsiao ◽  
Harlan M Krumholz

The ongoing coronavirus disease outbreak demonstrates the need for novel applications of real-time data to produce timely information about incident cases. Using health information technology (HIT) and real-world data, we sought to produce an interface that could, in near real time, identify patients presenting with suspected respiratory tract infection and enable monitoring of test results related to specific pathogens, including severe acute respiratory syndrome coronavirus 2. This tool was built upon our computational health platform, which provides access to near real-time data from disparate HIT sources across our health system. This combination of technology allowed us to rapidly prototype, iterate, and deploy a platform to support a cohesive organizational response to a rapidly evolving outbreak. Platforms that allow for agile analytics are needed to keep pace with evolving needs within the health care system.


2011 ◽  
Vol 403-408 ◽  
pp. 4279-4286
Author(s):  
Sanjay Saini ◽  
A. Umamakeswari

The development of satellite communication technology has brought the Vehicle tracking systems to the day-to-day life of the common man. Today GPS fitted cars, ambulances, fleets and police vehicles are common on the roads. All the existing technology can support only tracking the vehicle place and status. No such systems have implemented emergency alert during accidents, using smart phone. Real time vehicular tracking system incorporates a hardware device installed in the vehicle and a remote Tracking server. The information is transmitted to Tracking server using GSM/GPRS modem on GSM network by using SMS or using direct TCP/IP connection with Tracking server through GPRS. Tracking server also has GSM/GPRS modem that receives vehicle location information via GSM network and stores all this information in computer database. This information is available to authorized users of the system via website over the internet.The embedded device fitted with “sensors”. The sensors used are to provide Automated Emergency Alert in case of accident (Inform nearby Police, Hospital and Owner through SMS), Identification of Halts and Duration, Emergency Message Display in Centralized computer, Automatic update of Emergency number, Fuel Tank Pilferage Monitoring and Distance and Speed computation. The data from the sensors are transferred to centralized server through GSM enabled device. GPS device is used to track the vehicle locations in latitude and longitude. The GPS device is received raw satellites data in this data is not understandable first we convert raw data to digital form and transmitted to centralize computer. Each licence vehicle owner can access the data using web service and can retrieve all the real time data and stored previous data in database. Because whole Proposed system control in a single chip so proposed system allows for the stability, equilibrium, less resource use and sustainability of a tracking system and save of the people life.


2001 ◽  
Author(s):  
James V. Leggett ◽  
Vladimir Dubinsky ◽  
Doug Patterson ◽  
Alexei Bolshakov

2014 ◽  
Vol 1070-1072 ◽  
pp. 874-879
Author(s):  
Jin Ming Hou ◽  
Chuan Kai Zhang ◽  
Xiu Ping Shi ◽  
Yuan Chao Huang

Senior applications based on PMU have to process a large amount of data. An effective method to solve the problem is need to find. Firstly, the characteristics of real-time data message of WAMS and the method for receiving and processing real-time data based on the message bus of the smart grid dispatching technical support system were analyzed, and then, the producer/consumer model which is commonly used in the data receiving and processing was introduced emphatically. The advantages and disadvantages of three different ways to realize the buffer were explained. Finally, the test results of practical application were given. The test results show the producer / consumer model using the ring buffer can effectively solve the problem of a large number of PMU data processing.


2019 ◽  
Vol 19 (2) ◽  
pp. 83
Author(s):  
Muhammad Nasar ◽  
Novendra Setyawan ◽  
Amrul Faruq ◽  
Indah Sulistiyowati

Monitoring energy in buildings can ease us to have a better understanding of electricity consumption patterns to support efficiency and avoid potential damages. However, indoor installations are mostly unmonitored because their panel meters are usually difficult to access. Yet, indoor maintenance tends to be more difficult since the cables are inside the wall, ceiling, or concrete. Internet of Things and big data analytics can be used to track electricity usage either in residential, commercial, or industrial buildings. This paper presents how a simple real-time energy data analytics was built at a low cost and high accuracy to inspect energy fluctuations, anomaly, and its significant pattern. We proposed 3 layers of architecture namely acquisition, transportation, and application management. An electronic module named PZEM004T was used to sense voltage, current, and other electrical parameters. Through a microcontroller ESP8266, the data was processed and sent it to an application layer via an existing wireless network. The actual and historical data of electricity were visualized on high-resolution graphs. The experiment was conducted at our office building. The experimental results showed that data of electrical energy usage can be captured close to realtime and power anomaly and pattern can be figured. Performance and functionality testing showed acceptable use of this system with more than 99% accuracy. This system is intended to empower building managers in evaluating the electrical network balance as well as anticipating damage due to overload, overvoltage, and voltage drop. If this model is widely implemented it will produce big data that is useful for advanced analysis.


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