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Prediction of solar irradiation and performance evaluation of grid connected solar 80KWp PV plant in Bangladesh

机译:孟加拉国并网太阳能80KWp光伏电站的太阳辐射预测和性能评估

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Energy security is the triggering factor for a developing country. Thus, for ensuring energy security renewable energy such as PV plant could be a best alternative. This study deals with the performance analysis of 80 KWp grid-connected solar power plant in Dhaka. This study presents a solar irradiation predict model based on fuzzy logic and artificial neural networks which aims to achieve a good accuracy at different weather conditions. The accuracy of predicted solar irradiation will affect the power output forecast of grid-connected photovoltaic systems which is important for power system operation and planning. Used data are taken from NASA. The performance of ANN is better than fuzzy logic model by comparing RMSE, R 2 and percentage of accuracy. These fuzzy logic and ANN models can be used to forecast solar irradiation of Dhaka city in different environment condition and to provide enough information about the feasibility of solar power projects.
机译:能源安全是发展中国家的触发因素。因此,为了确保能源安全,可再生能源(例如光伏电站)可能是最佳选择。这项研究涉及达卡的80 KWp并网太阳能发电厂的性能分析。本研究提出了一种基于模糊逻辑和人工神经网络的太阳辐射预测模型,旨在在不同的天气条件下达到良好的精度。预测的太阳辐射的准确性将影响并网光伏系统的功率输出预测,这对于电力系统的运行和规划很重要。使用的数据取自NASA。通过比较RMSE,R 2和准确度百分比,ANN的性能优于模糊逻辑模型。这些模糊逻辑和ANN模型可用于预测不同环境条件下达卡市的太阳辐射,并提供有关太阳能项目可行性的足够信息。

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