Muliadi
@unida-aceh.ac.id
Electrical Engineering
Universitas Iskandar Muda
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
MULIADI, M. YOGI FAHREZI, INTAN SARI ARENI, ELYAS PALANTEI, and ANDANI ACHMAD
IEEE
The use of IoT technology enables web-based monitoring to statistically collect information related to measurements of electrical energy parameters, such as real time measurement of current (I), voltage (V) and power (P). This study aims to design a web-based real time monitoring system for electrical energy consumption inside a particular house. The sensing peripheral node was constructed using an ESP8266 controller chipset to steer a relay and a current sensor PZEM004T. The controller was programmed using the Arduino IDE application and exploiting the powerful performance of C language to build the codes. The web-based application interface was correspondingly created using the sublime text 3text editor using the HTML; CSS programming languages as the frontend; and both PHP and MySQL software as the backend. Users could control the functional of the particular installed electronic devices using ON / OFF button directly through the designed website. Through this way, users may also observe the current and power values consumed by each operated devices. The cumulative power consumption profile for a certain time interval for each electronic appliances is also graphically visualized on the website menu. The practical testing results obtained the percentage of error current reading from the PZEM-004T sensor to the theoretical current value. From the data collection of an electric loads, the error percentage of the light bulb load is 0.5%, the rice cooker load is 0.7% and the dispenser load is 0.1%.
Muliadi and Ira Devi Sara
IEEE
Conventional techniques for finding the maximum point of the output power of a solar panel such as artificial intelligence (AI), perturb and observe (P&O), incremental conductance (IC), hill climbing (HC) are unable to obtain the global maximum point of the output power with multiple peaks. One interesting solution has been proposed to solve this problem i.e.: by using a metaheuristic optimization methodology. Therefore, a method based on the grey wolf optimization (GWO) is suggested to increase the efficiency in finding the global maximum point of the output power of a solar panel with multiple peaks. In this study, there are two different arrangements of a solar panel advocated i.e.: one module with one bypass diode and two modules with one bypass diode under two different shading conditions. The results indicate that the arrangement of a solar panel has an impact on the output power yield. Furthermore, the GWO method also produces an efficient and faster convergence in obtaining the global maximum point of the output power of a solar panel with multiple peaks.