Grid Reliability Enhancement by Demand Side Management on Adapting Load Forecasting |
Author(s): |
| Swati Takiyar , MMMUT, Gorakhpur; Prof. K. G. Upadhyay, MMMUT |
Keywords: |
| Artificial Neural Network (ANN), Demand Response, Demand Side Management, Load Forecasting, Peak Load, Power Grid, Reliability, Varying Load Demand |
Abstract |
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Raised complexity levels of conventional grids, ever increasing load demands, elevated reliability issues, limitations of conventional power generating units and quality issues associated with sustainable energy resources all highlight the need to adapt specific demand management techniques to enhance grid reliability. The stability of grids are adversely effected by varying loads, moreover the intermittent nature of the renewable resources and inability of conventional plants to deal with them make the grids even more vulnerable during peak load times. In this study we propose a tool based on Artificial Neural Network as the solution. It would forecast futuristic load enabling utilities to optimize grid performance. |
Other Details |
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Paper ID: IJSRDV3I40015 Published in: Volume : 3, Issue : 4 Publication Date: 01/07/2015 Page(s): 87-90 |
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