Create a Program for Load Identification

2937 Words6 Pages

The aim of this project is to create a program for load identification by means of the active and reactive power characteristics with the dataset called REDD. Specifically, it aims to evaluate the ability of the algorithm applied with respect to different types of appliances. In this semester, lots of technical papers had been studied and the useful know-how had been selected. The power calculation model in MS Excel had been verified, and the formulas to find out the results had been set up. To extract the data appropriately, the REDD dataset was also studied. Finally, the database of load signatures was built up for load recognition and this represents fifty percent of the project works has been completed. In next semester, an application program by LABVIEW or MATLAB will be created for completing the load identification task and the recognition performance will be evaluated. Table of Contents No. Description Page 1. INTRODUCTION 4 2. LITERATURE REVIEW 5 3. PROJECT AIMS 6 4. DESIGN DETAILS 6 4.1 PQ Algorithm 6 4.2 Load Recognition 7 5. PRELIMINARY RESULTS 9 5.1 REDD Dataset 9 5.2 Verification of Power Calculation 11 5.3 Procedure of Load Signature Extraction 12 5.4 Results of Load Signature 15 6. PROBLEMS ENCOUNTERED AND SOLUTIONS 18 7. WORKS ON DESIGN 4B 18 8. PROJECT TIME LINE 19 9. RESULTS AND CONCULSION 20 9.1 Main Achievements and Results 20 9.2 Lessons Learnt 20 9.3 Conclusion 20 10. BIBLIOGRAPHY 21 1. INTRODUCTION In view of increasing power demand, escalating oil prices, exploding carbon credit market and the security concerns in nuclear power plant, it is time for us to rethink the way to deal with the energy needs. Although many new renewable energies have b... ... middle of paper ... ...es such as refrigerator, washing machine, smoke detector, etc.. That experience heightened the interest on researching the relevant technical papers and finding out the real situations. The problems encountered as seen in Chapter 6 described the difficulties of handling the large REDD dataset and extracting the required data from different data files. Through that challenging work, the skill to manipulate the large dataset and formulate appropriate calculations in MS Excel were practised. 9.3 Conclusion In conclusion, the tasks of this project has been fifty percent completed as explained in Chapter 9.1 and the remaining works in the coming semester for completing the project aims as seen in Chapter 7 are to create LABVIEW or MATLAB program for load identification and to evaluate the ability of the algorithm applied with respect to different types of appliances.

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