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Electric markets and neural networks with MATPOWER and Matlab

Grant number: 13/08307-8
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): August 01, 2013
Effective date (End): December 31, 2013
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal researcher:Anna Diva Plasencia Lotufo
Grantee:Pedro Henrique Lehnhardt Monteiro
Home Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil

Abstract

Price forecasting is one of the tasks executed to planning and operation of electrical markets. According to the literature Artificial Neural Networks are the most used techniques to forecast as well as associated with other classical methods or other artificial intelligence forming the hybrid methods. This work has two parts: use the IEEE 24 RTS to run a DC OPF and compute the LMP random varying the load to obtain different scenarios and after realizing the price prediction with Neural Networks. The DC OPF will be done by MATPOWER and the predictions by Neural Network toolbox of MATLAB. (AU)

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