Electric Load and Solar Irradiance Forecasting in Microgrid using High Order MIMO Fuzzy Logic Approach

Authors

  • Gurpreet kaur
  • Manpreet Singh

Abstract

In the modern world, the concept of microgrid is rising at a very rapid rate. With the high participation of the renewable energy resources, the system is considered to be highly advantageous. But, with such integration comes the problem related to their uncertain nature. The major source of energy in the microgrid is considered to be the solar PV which depends upon the value of solar irradiance i.e. uncertain in nature. This uncertainty is dependent upon the various weather based parameters like temperature, wind speed, rain etc. Along with the uncertain source, the load in the system is also variable in nature; depending upon the similar weather based parameters. Thus in this paper, using the high order multi input multi output (MIMO) fuzzy logic approach the forecasting of both the solar irradiance and electric load has been done. The proposed approach is validated by comparing with the real time values of the parameters.

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Published

2019-10-22

Issue

Section

Articles

How to Cite

kaur, G., & Singh, M. (2019). Electric Load and Solar Irradiance Forecasting in Microgrid using High Order MIMO Fuzzy Logic Approach. International Journal of Advanced Engineering Research and Science, 6(4). https://journal-repository.com/index.php/ijaers/article/view/930