Power quality solution in Distributed Generation (DG) Environment is based on non-conventional sources such as solar, hydro, wind, biomass, or bio-fuel. In a distributed system, the deviation between voltage and frequency occurs due to the discontinuous generation of electricity through renewable sources. In this paper intelligent controller as fuzzy controller is used for power quality solution such as voltage sags, swell, interruption, unbalanced load/ power and total harmonic distortion in the system. It includes the pulse width modulation (PWM) controller which is used in VSI. The distributed static compensator (DSTATCOM) is used to mitigate the current based problem and regulate the voltage either by generating or absorbing reactive power. The simulation are performed for all control strategy by using MATLAB/Simulink.Keywords: Distributed Static Compensator, Power Quality, Fuzzy logic, Distributed Generation (DG) Environment.
Electric vehicles are widely used in urban cold chain logistic delivery. Temperature-sensitive logistics are more challenging for small order deliveries in terms of cost and time constraints. Sustainable development of cold chain logistics is essential in road transportation. The solar-assisted refrigerating E-rickshaw has been proposed in this study. The performance of this system was analyzed under different operating conditions. The impact of changing the load on maximum vehicle speed and trip distance was investigated. The solar panel produced an average of 3140 Wh of solar energy in one sunny day. The vehicle was reached a maximum speed of 23 km/h while carrying a 200 kg load. The vehicle covered a distance of 60.4 km with the battery bank alone at 200 kg load condition. It was traveling 63.4 km distance with hybrid energy mode. The solar panel extended the cruising range of the vehicle by 3.2 kilometers.Keywords: E-mobility, energy consumption, performance, economic analysis.
Humans have always been concerned about the environment and energy conservation. The novel design of a portable solar hybrid vapor compression refrigerator has been proposed in this study. This hybrid energy-operated DC refrigerator was tested with four load conditions on sunny days. The I-V curve of the PV panel, refrigerator chamber temperature and meteorological data were recorded. The solar panel generated an average of 785 Wh of solar energy in one sunny day. The refrigerator was consumed 98 Wh energy at the no-load condition in a single day. The refrigerator chamber was filled with 30% (70 L), 60% (140 L), and 90% (210 L) load that consumed 154 Wh, 316 Wh, and 492 Wh energy, respectively to reach 0 oC. Daytime energy consumption of refrigerator was higher as compared to night time. The lead-acid battery's energy storage capacity was 1260 Wh. The battery was able to run the refrigerator for 2.5 days with 90% load condition without solar energy. The refrigeration system's average COP was 1.2. Experimental results demonstrated that solar energy production was higher as compared to refrigerator energy consumption. The proposed unique technology demonstrates the feasibility of the hybridization of renewable energy and grid utility in a cost-effective and environmentally friendly way. This solar-assisted system can be used to store lifesaving medicines and vaccines in disaster-prone areas.Keywords: Mobile solar refrigeration, energy-saving, performance, economic analysis.
In today's world, we are confronted with security challenges on every level. As a result, we must use modern technologies to address these difficulties. The Face recognition module is being used in this project to capture human photos and compare them to photographs stored in a database. The detection of persons who enter or leave the house is the most crucial element of any home security system. Instead, then using passwords or pins to monitor this, unique faces can be used because they are a biometric property. We want to build this system on the Raspberry Pi 4 to make the house only accessible when your face is identified by the Open CV library's recognition algorithms and you are authorized in by the house owner, who can monitor entry remotely. it identifies the face and unlocks the door if the face is registered; This is how things function in the system.Keywords: GSM Module, Open CV, Python, Raspberry-pi 4.