DISAGGREGATION OF LOADS IN THE SMART GRID CONTEXT

• DOI: 10.22533/at.ed.4672028092

• Palavras-chave: Disaggregation of loads, SMART GRID, Neural Networks and Wavelet transform.

• Keywords: Disaggregation of loads, SMART GRID, Neural Networks and Wavelet transform.

• Abstract:

  This work aims to create a current signal database of domestic loads and proposes a technique for identifying such loads, necessary steps for the disaggregation of loads in the Smart-grid context. The disaggregation of the proposed technique is based on the use of neural networks and wavelet transform. The identification of electrical loads aims to discover what equipment is connected to utility power. Thus, it is possible to calculate separately for each device is consuming electricity. The results obtained from the information derived from the proposed algorithms are discussed and presented. The algorithms processing and load identification by wavelet and neural networks were developed using the MATLAB environment. The results prove the efficiency of the proposed technique.

• Número de páginas: 14