Journal of Engineering and Technology

ARTICLE
Year
: 2011  |  Volume : 1  |  Issue : 1  |  Page : 24--30

Short-Term Load Forecasting in Deregulated Electricity Markets using Fuzzy Approach


SK Aggarwal1, Manoj Kumar2, LM Saini3, Ashwani Kumar3 
1 Electrical Engineering Department, M.M. Engineering College, Mullana, India
2 H.V.P.N. Ltd, Kurukshetra, India
3 Electrical Engineering Department, NIT, Kurukshetra, India

Correspondence Address:
S K Aggarwal
Electrical Engineering Department, M.M. Engineering College, Mullana
India

In this article, a fuzzy inference-based method for short-term load forecasting has been presented. Load data from European Energy Exchange has been selected for the case study. The źDQ╗time,źDQ╗ źDQ╗temperature,źDQ╗ and źDQ╗historical loadźDQ╗ are taken as inputs for the fuzzy logic controller and the źDQ╗forecast loadźDQ╗ is the output. Each of the input variables źDQ╗timeźDQ╗ and źDQ╗temperatureźDQ╗ has been divided into 7 triangular membership functions, whereas the input variable źDQ╗historical loadźDQ╗ has been divided into 10 triangular membership functions. The źDQ╗forecast loadźDQ╗ as output has been divided into 10 triangular membership functions. Then, 1 day ahead load forecast for each hourly interval has been performed using fuzzy logic method. Furthermore, performance of the fuzzy logic model is compared with a conventional model. It has been shown that the proposed method possesses better forecasting abilities than the other model.


How to cite this article:
Aggarwal S K, Kumar M, Saini L M, Kumar A. Short-Term Load Forecasting in Deregulated Electricity Markets using Fuzzy Approach.J Eng Technol 2011;1:24-30


How to cite this URL:
Aggarwal S K, Kumar M, Saini L M, Kumar A. Short-Term Load Forecasting in Deregulated Electricity Markets using Fuzzy Approach. J Eng Technol [serial online] 2011 [cited 2019 Aug 24 ];1:24-30
Available from: http://www.onlinejet.net/article.asp?issn=0976-8580;year=2011;volume=1;issue=1;spage=24;epage=30;aulast=Aggarwal;type=0