scholarly journals Modeling and Simulation using MATLAB to Mitigate Technical Challenges & Also for Scalability of Pilot Project of Clustered Solar Agricultural Feeder

The inclusion of renewable energy in India’s electricity mix has been increased dramatically in the past several years. From an environmental, energy security and long-term cost standpoint, this evolving trend is undoubtedly welcome. Solar energy has rapidly emerged as a reliable, affordable and clean solution for meeting India’s fast growing energy demand and supply to all. But connecting PV plant DC power with the AC grid is difficult because of tripping, not properly synchronizing. In this paper the development of PV array model, their integration, power quality assessment and Simulink implementation are described. Modeling concept presented in this paper can easily be extended and used for scalability purpose. System consist of solar arrays, MPPT, IGBT inverter and transformer. First, the field parameters has been measured and analyzed by using Fluke Power Analyzer, then exact field modeling and simulation of cluster model of 1.6 MW grid (agricultural feeder)connected PV based solar power plant using MATLAB Simulink R2019A is made in which Maximum Power Point Tracking technique(MPPT) for obtaining maximum possible power output is used, and in MPPT we have used Perturb and Observe method. The ideal values getting from MATLAB Simulation and the real time values of the PV Plant measured by fluke power analyzer are compared and analyzed, then an efficient systems can be modeled for proper synchronization with the grid.

2012 ◽  
Vol 430-432 ◽  
pp. 1348-1351
Author(s):  
Yu Shui Huang ◽  
Yan Jie Wei ◽  
Xue Chen

The output of photovoltaic (PV) array is affected by the environmental factors such as irradiation and temperature, so an effective maximum power point tracking (MPPT) method of PV array is necessary. In this paper, a modified perturb and observe (MPO) method is proposed to achieve MPPT for a PV system and to improve the shortcomings of prior methods. Comparing with a typical perturb and observe (P&O) MPPT method, the MPO efficiency is improved in transient state by the proposed MPPT as theoretical prediction.


Author(s):  
Taufik Hidayat ◽  
Mohammad Zaenal Efendi ◽  
Farid Dwi Murdianto

The problems of using solar panels include the power and efficiency that can be achieved by solar panels during conditions where the surface of the solar panel is covered by shadows, because the performance of the solar panels is affected by the amount of sunlight received and the temperature of the solar panels. Then, a solution appears to overcome the problem, called Maximum Power Point Tracking or a technique to get the maximum output power from solar panels. Initially, MPPT worked with conventional methods, one of which was Perturb and Observe. Furthermore, the MPPT method on solar panels continues to develop to solve problems during partial shade conditions. The development of this conventional method is called the metaheuristic method, an example of which is the Cuckoo Search Algorithm method implemented in this research. This method is characterized by the Levy Flight equation in generating duty cycle values so that it can reach the maximum peak power of solar panels. The system built in this research is also supported by the highly efficient Interleaved Boost converter. Based on simulation results show that the power that can be generated by the MPPT Cuckoo Search Algorithm is higher than the MPPT Perturb and Observe, which is 121.23 W compared to 72.38 W.


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