Fuzzy Logic based Short Term Load Forecasting

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Published Sep 5, 2013
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Volume 9, Issue 3, September 2013

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Amit Jain
Power Systems Division, Central Power Research Institute, Bangalore - 560 080
Santosh Kumar Kukkadapu
International Institute of Information Technology, Hyderabad - 500 032

Abstract

With increasing complexity of modern power systems, good quality load forecasting has become the necessary requirement for secure and reliable operation of power grid. Short term load forecasting plays vital role in daily operation of power grid to provide right inputs for the commitment of power generation units and dispatch. Fuzzy logic based short term load forecasting is described in this paper. To obtain the next-day load forecast, fuzzy logic is used to modify the load curves on selected similar days. A new Euclidean norm with weight factors is used for the selection of similar days. The proposed fuzzy logic based short term load forecasting method presented in the paper is illustrated through the simulation results on a typical data set.

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How to Cite
Jain, A., & Kukkadapu, S. K. (2013). Fuzzy Logic based Short Term Load Forecasting. Power Research - A Journal of CPRI, 321–328. Retrieved from https://cprijournal.in/index.php/pr/article/view/871

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