| Title | System Splitting Predictive Analytics Tool for Smart City to Enhance Restoration of Smart Grid |
|---|---|
| ID_Doc | 38558 |
| Authors | Bhangale, K; Desmukh, SR |
| Title | System Splitting Predictive Analytics Tool for Smart City to Enhance Restoration of Smart Grid |
| Year | 2018 |
| Published | |
| Abstract | Smart city is an urban area where all the required assets and resources benefited to citizens are managed efficiently. According to electrical perspective a smart city aims to provide the citizens a reliable and more efficient power supply. Thus, the contribution of electrical engineer to make a city smart is to make the electrical grid robust, reliable and round the clock available. But the electrical grid being prone towards some serious disturbances which may trigger growing oscillations leading to loss of synchronization between groups of generators and possibly to system blackout, efforts are to be made to develop such predictive tools with optimum strategic solution to reduce power system restoration time during failure of network. Under such condition of extreme failure which could result in grid collapse, the active and viable splitting of the system can avoid the situation of complete blackout. The aim of the work is to develop predictive network reduction tool to provide optimum splitting strategies. This will enable fast restoration of major part of network. The technical constraints being fulfillment of generation load balance and satisfactory load flow. The case study is presented in the paper with results and practical significance of this tool in real time operation of grid. With encouragement of smart technology in grid, such predictive tool will certainly improve reliability, enhancing the quality attribute of city. |
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