Design of earth station power controller using embedded system
01 Aug 2016-Vol. 2016, pp 1-5
TL;DR: Earth Station Power controller design is nothing but a design of algorithm where multiple solutions are provided for power failure condition and power consumption conditions and hardware specification has selected for the prototype.
Abstract: Earth Station Power controller can be designed by several methods by using different processors and programming codes. For coding we can use different languages as per different processor or hardware, embedded C, Hardware description language (HDL), etc. Power controller design is nothing but a design of algorithm where multiple solutions are provided for power failure condition and power consumption conditions. We have used different power sources for load consumption (Earth Station), our primary power source is Solar Panels and Secondary power source is Diesel generator. Our main objectives are avoiding Failure conditions and utilize maximum power from solar panels. As per objective, load consumption and failure conditions our algorithm and flow chart are designed accordingly hardware specification has selected for our prototype. Solar panels, charger circuit, battery bank, inverter, load and controller these are main hardware.
References
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TL;DR: Experimental results show that the proposed two-mode MPPT control provides excellent performance at less than 30% insolation intensity, covering the whole insolation area without additional hardware circuitry.
248 citations
19 May 2002
TL;DR: A novel two-mode MPPT control algorithm combining the constant voltage control and IncCond method is proposed to improve efficiency of the 3 kW PV power generation system at different insolation conditions.
Abstract: As is well-known, the maximum power point (MPP) of PV power generation system depends on array temperature and solar insolation, it is necessary to track MPP of solar array all the time. For the past years, many researches have been focused on various MPP control algorithms to draw the maximum power of the solar array. Among them, the constant voltage control method, the perturbation and observation (P&O) method and the incremental conductance method (IncCond) have drawn many attractions due to the usefulness of each system. In this paper, the effectiveness of the three different control algorithms are thoroughly investigated via simulations and proposed efficiency evaluation method on experiment. Both the steady-state and transient characteristics of each control algorithm along with measured efficiency are analyzed, respectively. Finally, a novel two-mode MPPT control algorithm combining the constant voltage control and IncCond method is proposed to improve efficiency of the 3 kW PV power generation system at different insolation conditions.
197 citations
TL;DR: In this paper, a neural network based maximum power tracking controller for interconnected PV power systems is presented, where the neural network is utilized to identify the optimal operating voltage of the PV power system.
Abstract: This paper presents a neural network based maximum power tracking controller for interconnected PV power systems The neural network is utilized to identify the optimal operating voltage of the PV power system The controller generates the control signal in real-time, and the control signal is fed back to the voltage control loop of the inverter to shift the terminal voltage of the PV power system to its identified optimum, which yields maximum power generation The controller is of the PI type The proportional and the integral gains are set to their optimal values to achieve fast response and also to prevent overshoot and also undershoot Continuous measurement is required for the open circuit voltage on the monitoring cell, and also for the terminal voltage of the PV power system Because of the accurate identification of the optimal operating voltage of the PV power system, more than 99% power is drawn from the actual maximum power >
176 citations
"Design of earth station power contr..." refers background or methods in this paper
...From table.[1] we have input values X2 and hence we have designed following circuit diagram....
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...From table [1] we takes output O1 = 1, O2 = 0 for solar panel switching condition and O1 = 1, O2 = 1 for diesel generator switching condition....
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...From table [1] and [2] we have values of X1, X2 and X3 by putting this values in state table we can design logic design circuit, here output of mealy circuit connected to Push button for controlling solar panel as well as diesel generator, by using state methods we have designed following circuit for diesel generator switching....
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TL;DR: In this article, the size optimization of solar array and battery in a standalone photovoltaic (SPV) system is investigated based on the energy efficiency model, the loss of power supply probability (LPSP) of the SPV system is calculated for different size combinations of solar arrays and battery.
173 citations
04 Jun 2002
TL;DR: In this paper, a GA-RBFNN (genetic algorithm trained radial basis function neural network)-based model was proposed to carry out the maximum power point tracking (MPPT) for grid-connected photovoltaic (PV) power generation control systems.
Abstract: This paper presents a novel GA-RBFNN (genetic algorithm trained radial basis function neural network)-based model to carry out the maximum power point tracking (MPPT) for grid-connected photovoltaic (PV) power generation control systems. The hidden layer of the neural network is self-organised by the GA-based RBF growing algorithm. The trained GA-RBFNN-based MPP model is then employed to predict the maximum power points of a PV array using measured environmental data. The simulation results are compared with the conventional P&O method, and the current/voltage waveforms of the PV panel are presented and discussed.
58 citations