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Item type:Item, Design of zero energy consumption system for small DC residential home based on off-grid PV system(2018-01-01) ;Chandanachulaka, NidchabendhaKhan-Ngern, WerachetThis research presents the design of a zero energy consumption system (ZECS) based on off-grid photovoltaic (PV) system for small DC system whose load demand is less than 1 kWh/day. This system consists of 3 parts: 300 W PV panel, energy conversion or solar charger, and 12 V 200 Ah energy storage. The used electrical utilizing system consists of 3 types: 20 W LED lighting system, 35 W fan for air cooling system, and 100 W electrical boiler or heating system, whose average load requirement is 0.795 kWh/day. This research defines 6 key sustainability parameters and key performance indicators in order to evaluate the benefits of ZECS, which are design, energy security, system availability, efficiency, environment and investment. The result has been analyzed and it was found that ZECS can achieve more than 80% of the energy conversion efficiency and it can operate for 2 days without charging the battery. The battery charging and discharging from PV are demonstrated to confirm ZECS energy security. The utilization ratio or the energy that required per one square meter is less than 50 Wh/m2. DC ZECS and DC electric appliances are available, affordable and easy to be maintained. ZECS is designed in order to provide the electricity for low-income people in remote areas, and its social benefits are more important than the return on investment. It can be concluded that DC utilizing system is reliable for ZECS which can benefit to apply this system in remote area where it cannot connect to the grid. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Comparison of distributed and Centralized control for partial shading in PV parallel based on Particle Swarm Optimization Algorithm(2014-10-15) ;Jumpasri, Nattawat ;Pinsuntia, Kittapas ;Woranetsuttikul, Kaweepoj ;Nilsakorn, TaywinKhan-Ngern, WerachetThis paper presents the comparison of Distributed Control and Centralized Control for partial shading in PV parallel based on the Particle Swarm Optimization Algorithm. The distributed control is the connection of PV 1 panel with 1 MPPT and the centralized control is the connection of many PV panels with 1 MPPT. Both methods have difference advantage, efficiency, cost and maintenance. The simulation of both methods made in Powersim and Matlab Simulink. The analysis and conclusion were included. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Improved particle swarm optimization algorithm using average model on MPPT for partial shading in PV array(2014-10-15) ;Jumpasri, Nattawat ;Pinsuntia, Kittapas ;Woranetsuttikul, Kaweepoj ;Nilsakorn, TaywinKhan-Ngern, WerachetThis paper presents the maximum power point tracking (MPPT) technique to improve the system operation during shading in photo voltaic array. This technique was based on the swarm optimization algorithm using average model. The algorithm has the simple topology and accuracy calculation. The PV system composed of the PV array, the synchronous buck-boost converter which can control the output voltage with the same polarity of both source and load. The PV array operating simulation was done by the PowerSim program where the MATLAB program simulates the particle swarm optimization with average model in various partial shading. Finally, the experimental results using average model show a fast response with good agreement of that simulation.
