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DIFFUSION OF GRID-CONNECTED PV IN INDIA: AN ANALYSIS OF VARIATIONS INCAPACITY FACTOR

机译:网格连接的PV扩散在印度:变异变异因子的分析

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This paper analyses variations in capacity factor on diffusion of solar PV in the context of National Solar Mission announced by the Government of India. The capacity factor is evaluated by considering meteorological conditions and choice of technology. A mathematical model is developed to determine the capacity factor considering cell efficiency, solar irradiance and local temperature. The output of the model is used as input for determining cost of generated electricity. Simulation is performed for a 1MWp grid connected PV plant by considering daily average hourly solar irradiance and temperature variation. With a view to achieve a vision of PV diffusion in India,- the present work includes system data for representative places located in different latitudes. Feed-in-Tariff (FiT) determined by. various states for grid connected PV is compared with cost of electricity generated obtained from simulation. The cost of electricity generated from solar PV is found to vary between 26 0/kWh and 33 0/kWh based on the capacity factor. This comparison helps to bridge the gap between FiT and actual cost based on capacity factor by way of additional incentives for a fixed period. This analysis would be useful for utilities/states to assess the diffusion of PV power into the grid and determine tariff based on meteorological parameters. The reduction in CO_2 emission is computed for various locations considering the. actual generation mix. Analysis is also carried out to determine the growth of cells and module manufacturing capacity in India for 2022. Simulation result indicate that the present high growth rate (>30%) for both cells and modules is sufficient to achiev target set by the National Solar Mission. This paper also discusses briefly about National Solar Mission and status of grid connected PV power in India.
机译:本文分析了印度政府宣布的国家太阳能使命范围内太阳能光伏扩散的能力因素的变化。通过考虑气象条件和技术选择来评估容量因数。开发了一种数学模型,以确定考虑电池效率,太阳辐照度和局部温度的容量因数。该模型的输出用作确定产生的电力成本的输入。通过考虑日平均每小时太阳辐照度和温度变化,对1MWP网格连接的PV工厂进行仿真。为了实现印度光伏扩散的视野, - 目前的工作包括位于不同纬度的代表地点的系统数据。馈入课程(适合)由。将网格连接PV的各种状态与从模拟中获得的电力成本进行比较。发现从太阳能光伏产生的电力成本在26 0 / kWh和33 0 / kWh基于容量因数之间变化。这种比较有助于通过固定时期的额外激励措施基于容量因子来弥合拟合和实际成本之间的差距。该分析对于公用事业/国家是有用的,以评估PV电力扩散到网格中并根据气象参数确定关税。考虑到的各个位置,计算CO_2排放的减少。实际的一代混合。分析也进行,以确定细胞和模块在印度制造能力为2022仿真结果的生长表明,对于这两种电池和模块本高生长速率(> 30%)足以由国家太阳能任务achiev目标集。本文还简要讨论了印度国家太阳能使命和网格连接光伏电网的地位。

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