Lux and current analysis on lab-scale smart grid system using Mamdani fuzzy logic controller

The increasing need for electrical energy requires suppliers to innovate in developing electric distribution systems that are better in terms of quality and affordability. In its development, it is necessary to have a control that can combine the electricity network from renewable energy and the main network through voltage back-up or synchronization automatically. The purpose of this research is to create an innovative lux and current analysis on a lab-scale smart grid system using a fuzzy logic controller to control the main network, solar panel network and generator network to supply each other with lab-scale electrical energy. In the control, Mamdani fuzzy logic controller method is used as the basis for determining the smart grid system control problem solving by adjusting the current conditions on the main network and the light intensity conditions on the LDR sensor. Current conditions are classified in three conditions namely safe, warning, and trip. Meanwhile, the light intensity conditions are classified into three conditions namely dark, cloudy and bright. From the test results, the utility grid (PLN) is at active conditions when the load current is 0.4 A (safe) and light intensity is 1,167 Lux (dark). Then the PLN + PV condition is active when the load current is 1.37 (warning) and the light intensity is 8,680 lux (bright). Finally, the generator condition is active when the load current is 1.6 (trip) and the light intensity is 8,680 (bright). Based on the test results, it is known that the system can work to determine which source is more efficient based on the parameters obtained.

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A Research on Power Quality Enhancement and Energy Management of Solar-Wind Hybrid Smart Grid System

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.a2990.109119 ◽

2019 ◽

Vol 9 (1) ◽

pp. 6868-6870

Keyword(s):

Solar Wind ◽

Smart Grid ◽

Power System ◽

Power Quality ◽

Electrical Energy ◽

Energy System ◽

Grid System ◽

Hybrid Renewable Energy System ◽

Smart Grid System ◽

Micro Grids

A solar-wind hybrid system plays a key role in power generation and becomes very important role to smart grid power systems. Also, the wind-solar hybrid energy storage control systems in coordination of energy markets, made economical to the electrical power system power system. Hybrid renewable energy system connected micro-grid consists of significant identification; in view of solve the rising electrical energy demand. In addition to this the problem of harmonic distortion in micro-grids due to the non-linear loads is an indispensable topic of study. Also, it is very significant for the better understanding of the power quality impacts in micro-grids. This paper presents detail analysis of different control techniques for optimization of harmonics in smart grid system and enhancement in power quality of the smart grid system. The performance of the control system is verified through the MATLAB simulation of the hybrid solar-wind electrical energy system.

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Design Smart Grid Hybrid in Faculty of Engineering Universitas Negeri Yogyakarta

Journal of Physics Conference Series ◽

10.1088/1742-6596/2111/1/012003 ◽

2021 ◽

Vol 2111 (1) ◽

pp. 012003

Author(s):

Muhamad Ali ◽

BT Djoko Laras ◽

Muhfizaturrahmah ◽

PS Deny

Keyword(s):

Smart Grid ◽

Smart Grids ◽

Power Plants ◽

Electricity Consumption ◽

Electrical Energy ◽

Grid System ◽

Power Sources ◽

Renewable Power ◽

Study Results ◽

Smart Grid System

Abstract The Faculty of Engineering, Universitas Negeri Yogyakarta (UNY), as one of the educational institutions in Engineering, still uses electrical energy from PT PLN, mainly generated from steam and gas power plants. Dependence on fossil energy can be reduced by utilizing renewable power plants, both solar and wind. For this reason, it is necessary to study the use of a Smart Grid system that can regulate electricity needs by optimizing renewable power plants. The Smart Grid components consist of solar power plants, wind power plants, batteries, inverters, and grid power sources from PLN integrated into the Smart grid system. We have designed the Smart Grid system through field observations and data processing with the HOMER Pro software to obtain an optimal hybrid power generation system and wind turbine. The study results indicate that the Faculty of Engineering, UNY has excellent potential to develop smart grids. The potential for solar energy is 418.393 kWh/year, and wind energy is 2.78 kWh/year. The Smart grid system is sufficient to meet the electricity consumption of only 205.5 kWh/year.

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Smart grid photovoltaic system pilot scale using sunlight intensity and state of charge (SoC) battery based on Mamdani fuzzy logic control

Mechatronics Electrical Power and Vehicular Technology ◽

10.14203/j.mev.2019.v10.36-47 ◽

2019 ◽

Vol 10 (1) ◽

pp. 36

Author(s):

Kamil Faqih ◽

Wahyu Primadi ◽

Anik Nur Handayani ◽

Ari Priharta ◽

Kohei Arai

Keyword(s):

Fuzzy Logic ◽

Light Intensity ◽

Smart Grid ◽

Power Supply ◽

Power Plants ◽

Electrical Energy ◽

Pilot Scale ◽

Photovoltaic System ◽

Safety Parameters ◽

Electrical Loads

The Utilization of renewable energy such as a photovoltaic system is the foremost alternative in transfers generated by conventional power plants, but the lack of photovoltaics is support for light intensity. The purpose of this research is to develop a pilot-scale smart grid photovoltaic system that can regulate the supply of electrical energy from either the battery or the power supply. The control system in this study uses the Mamdani fuzzy logic method in determining automatic system performance. This system monitors the intensity of light and battery which are then used as automatic safety parameters on the power supply, battery, and photovoltaic. The results of this study display the indicator results from the microcontroller in supplying electrical energy for the use of electrical loads, Power Supply has been served the load when the battery is in a low state which have a voltage <11 Volts, the battery has been served the load when the condition of the battery is in a medium and high condition which has a voltage of 11.5 <; ....; <13 Volts. PV has been served batteries or loads when the light intensity is cloudy and bright which have a light intensity of 3585 <; ...; <10752 Lux. This system can reduce dependence on conventional energy without reducing the quality of the energy supply at load and Photovoltaic system dependence on light intensity does not affect the supply of energy consumption to electrical loads.

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Intelligent Multi-coloured Lighting System Design with Fuzzy Logic Controller

APTIKOM Journal on Computer Science and Information Technologies ◽

10.11591/aptikom.j.csit.121 ◽

2016 ◽

Vol 1 (3) ◽

pp. 128-140

Author(s):

Paul W. Mutua ◽

Mwangi Mbuthia

Keyword(s):

Fuzzy Logic ◽

Energy Efficient ◽

Fuzzy Logic Controller ◽

Electrical Energy ◽

Luminance Level ◽

Test Results ◽

Lighting System ◽

Fuzzy Logic Controllers ◽

Simulation Test ◽

Software Environment

This paper describes the design of an intelligent energy efficient lighting system that uses multi-coloured LEDs and a fuzzy logic controller to produce light of the required luminance level and colour in a typical room space. The lighting system incorporates automatic control of a room’s window shade opening, conveniently harvesting daylight. Appropriate room occupancy sensors were set to dim off the LEDs if there are no people in the room. A movement sensor was also considered for dimming the LEDs if the persons in the room are asleep. A colour decoder was included in the control system, to determine the LEDs’ output light colour and dim them off if the colour requirement is not selected. The colour decoder also closes the window shade if required light colour is not white. Two Fuzzy Logic controllers were used in the system; one to control opening of the room’s window shade via microcontroller, and the other to control the LEDs’ output luminance. The study was limited to simulation of the design in a MATLAB software environment using Fuzzy Logic Toolbox and Simulink blocks. The simulation test results confirmed that the LEDs’ output luminance decreases as the amount of daylight entering the room increases. The designed system intelligently saves lighting electrical energy while maintaining the room’s comfortable illumination levels and colour requirements.

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