scholarly journals Entrepreneurship Through Start-ups in Hill Areas Using Photovoltaic Systems

2017 ◽  
Vol 6 (2) ◽  
pp. 105-121
Author(s):  
Chandani Sharma ◽  
Anamika Jain

There is large potential for generating solar power in Uttarakhand (India) endowed with natural resources. The extensive use of solar energy through solar PV panels in Distributed and Renewable Electricity Generation is significant to utilize multi climatic zones of hilly areas. In this regard, UREDA (Uttarakhand Renewable Energy Development Agency) targets to achieve a huge boost of solar PV battery backup with approved subsidy budget of INR 6 billion to 50 billion by 2019/20 under JNNSM (Jawaharlal Nehru National Solar Mission). This investment will increase productivity, enhance employment opportunities and improve quality of education. However, maximization of power output from panels used for same is achieved through use of MPPT (Maximum Power Point Trackers). The commercially installed solar power systems can be made to accomplish higher efficiency by implementing MPPT systems in start ups. In this paper, the effort is made to use MPPT system designed by intelligent controller for implementation in PV based utility systems. The regulated voltage output from MPPT system is obtained irrespective of fluctuations in environment. These variations are tested for changing temperature and irradiance due to shading or partial unavailability of sun. The results of same have been optimized through MATLAB/SIMULINK. The model designed is intended to be a beneficial source for PV engineers and researchers to provide high efficiency with the use of MPPT.

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1359
Author(s):  
Anindya-Sundar Jana ◽  
Hwa-Dong Liu ◽  
Shiue-Der Lu ◽  
Chang-Hua Lin

The traditional perturbation and observation (P&O) maximum power point tracking (MPPT) algorithm of a structure is simple and low-cost. However, the P&O algorithm is prone to divergence under solar radiation when the latter varies rapidly and the P&O algorithm cannot track the maximum power point (MPP) under partial shading conditions (PSCs). This study proposes an algorithm from the P&O algorithm combined with the solar radiation value detection scheme, where the solar radiation value detection is based on the solar photovoltaic (SPV) module equivalent conductance threshold control (CTC). While the proposed algorithm can immediately judge solar radiation, it also has suitable control strategies to achieve the high efficiency of MPPT especially for the rapid change in solar radiation and PSCs. In the actual test of the proposed algorithm and the P&O algorithm, the MPPT efficiency of the proposed algorithm could reach 99% under solar radiation, which varies rapidly, and under PSCs. However, in the P&O algorithm, the MPPT efficiency was 96% under solar radiation, which varies rapidly, while the MPPT efficiency was only 80% under PSCs. Furthermore, in verifying the experimental results, the proposed algorithm’s performance was higher than the P&O algorithm.


2018 ◽  
Vol 7 (2.31) ◽  
pp. 97 ◽  
Author(s):  
M Jayakumar ◽  
V Vanitha ◽  
V Jaisuriya ◽  
M Karthikeyan ◽  
George Daniel ◽  
...  

Solar power is widely available around the globe but efficient transfer of solar power to the load becomes a challenging task. There are various methods in which the power transfer can be done, the following work proposes a method for efficient tracking of solar power.  MPPT [ maximum power point tracking] algorithm applied on three phase voltage source inverter connected to solar PV array with a three phase load. MPPT is applied on inverter rather than conventionally applying MPPT on DC-DC converter. Perturb and Observe method is applied in the MPPT algorithm to find the optimal modulation index for the inverter to transfer maximum power from the panel. Sine pulse width modulation technique is employed for controlling the switching pattern of the inverter. The algorithm is programmed for changing irradiation and temperature condition. The system does not oscillate about the MPP point as the algorithm set the system at MPP and does not vary till a variation in irradiation is sensed.  The proposed system can be installed at all places and will reduce the cost, size and losses compared to conventional system. 


Author(s):  
Craig S. Turchi ◽  
Zhiwen Ma ◽  
Ty Neises ◽  
Michael Wagner

In 2011, the U.S. Department of Energy (DOE) initiated a “SunShot Concentrating Solar Power R&D” program to develop technologies that have the potential for much higher efficiency, lower cost, and/or more reliable performance than existing CSP systems. The DOE seeks to develop highly disruptive Concentrating Solar Power (CSP) technologies that will meet 6¢/kWh cost targets by the end of the decade, and a high-efficiency, low-cost thermal power cycle is one of the important components to achieve the goal. Supercritical CO2 (s-CO2) operated in a closed-loop Brayton cycle offers the potential of equivalent or higher cycle efficiency versus superheated or supercritical steam cycles at temperatures relevant for CSP applications. Brayton-cycle systems using s-CO2 have a smaller weight and volume, lower thermal mass, and less complex power blocks versus Rankine cycles due to the higher density of the fluid and simpler cycle design. The simpler machinery and compact size of the s-CO2 process may also reduce the installation, maintenance and operation cost of the system.


2013 ◽  
Vol 441 ◽  
pp. 268-271
Author(s):  
De Da Sun ◽  
Da Hai Zhang ◽  
Yang Liu

Photovoltaic (PV) power systems are widely used today, so its useful to study how to make the PV maximum power output. In this paper a novel approach based on Support Vector Machine (SVM) for maximum power point tracking (MPPT) of PV systems is presented. The output power characteristics of PV cells vary with solar irradiation and temperature, so the controllers inputs is the level of solar radiation and ambient temperature of the PV module, and the voltage at maximum power point (MPP) is the output. Results show that the proposed MPPT controller based on SVM is sensitive to environmental changes and has high efficiency and less Mean Square Error (MSE).


2015 ◽  
Author(s):  
Amol A. Phadke ◽  
Arne Jacobson ◽  
Won Young Park ◽  
Ga Rick Lee ◽  
Peter Alstone ◽  
...  

2019 ◽  
Vol 28 (05) ◽  
pp. 1950082 ◽  
Author(s):  
M. Premkumar ◽  
T. R. Sumithira

This paper presents nonisolated DC–DC converter which suits for solar photovoltaic (PV) applications. The DC–DC converter proposed in this paper utilizes coupled inductor, voltage boost capacitor and passive clamp circuit to achieve desired voltage gain and the passive clamp circuit will help the converter to accomplish high efficiency. To minimize the voltage spike/ringing across MOSFET drain-source and to recover the coupled inductor leakage energy, the RCD clamp circuit is used. The voltage lift capacitor along with the clamp circuit helps in increasing the voltage gain of the converter. The proposed converter offers low voltage stress on MOSFET and diode, low-coupled inductor turns ratio with low duty cycle. The converter is analyzed and simulated with PLECS standalone simulating environment for all aspects of the clamp circuit. The simulation results are compared with RCD and other clamping circuits to verify the performance of the proposed converter. The converter is also compared with active clamping to discuss the effectiveness of passive clamping circuit. To track the maximum power from the solar PV module, the conventional maximum power point tracking (MPPT) techniques are used. The prototype is designed and implemented for 150W and experimental results are verified.


Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 124 ◽  
Author(s):  
Adel El-Shahat ◽  
Sharaf Sumaiya

Recently direct current (DC) microgrids have drawn more consideration because of the expanding use of direct current (DC) energy sources, energy storages, and loads in power systems. Design and analysis of a standalone solar photovoltaic (PV) system with DC microgrid has been proposed to supply power for both DC and alternating current (AC) loads. The proposed system comprises of a solar PV system with boost DC/DC converter, Incremental conductance (IncCond) maximum power point tracking (MPPT), bi-directional DC/DC converter (BDC), DC-AC inverter and batteries. The proposed bi-directional DC/DC converter (BDC) lessens the component losses and upsurges the efficiency of the complete system after many trials for its components’ selection. Additionally, the IncCond MPPT is replaced by Perturb & Observe (P&O) MPPT, and a particle swarm optimization (PSO) one. The three proposed techniques’ comparison shows the ranking of the best choice in terms of the achieved maximum power and fast—dynamic response. Furthermore, a stability analysis of the DC microgrid system is investigated with a boost converter and a bidirectional DC-DC converter with the Lyapunov function for the system has been proposed. The complete system is designed and executed in a MATLAB/SIMULINK environment and validated utilizing an OPAL real-time simulator.


Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4132 ◽  
Author(s):  
António Couto ◽  
Ana Estanqueiro

Understanding the spatiotemporal complementarity of wind and solar power generation and their combined capability to meet the demand of electricity is a crucial step towards increasing their share in power systems without neglecting neither the security of supply nor the overall cost efficiency of the power system operation. This work proposes a methodology to exploit the complementarity of the wind and solar primary resources and electricity demand in planning the expansion of electric power systems. Scenarios that exploit the strategic combined deployment of wind and solar power against scenarios based only on the development of an individual renewable power source are compared and analysed. For each scenario of the power system development, the characterization of the additional power capacity, typical daily profile, extreme values, and energy deficit are assessed. The method is applied to a Portuguese case study and results show that coupled scenarios based on the strategic combined development of wind and solar generation provide a more sustainable way to increase the share of variable renewables into the power system (up to 68% for an annual energy exceedance of 10% for the renewable generation) when compared to scenarios based on an individual renewable power source. Combined development also enables to reduce the overall variability and extreme values of a power system net load.


2019 ◽  
Vol 16 (3) ◽  
pp. 359-376
Author(s):  
Milan Gojkovic ◽  
Djordje Damnjanovic ◽  
Radojka Krneta ◽  
Dejan Vujicic ◽  
Marina Milosevic

The state estimation of the voltage conversion process (with Kalman filtering) in a solar power system is shown in this paper. Theoretical principles of solar power systems are presented, along with the position and working principles of a DC-DC boost converter in a solar power system. Different modes of state estimation of the voltage conversion process are shown, along with a detailed explanation of the Kalman filter appliance. This approach can be applied to one of the maximum power point tracking systems (MPPT). In the practical section of this paper, the implementation of noise filtering concepts in a solar power system is shown, by using the National Instruments LabVIEW programming suite. Processes that occur in this type of system are simulated, and the basic principles of noise cancellation are explained, in order to achieve optimal working conditions.


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