• A.Tejaswi
• R.Suresh babu

Artificial neural nets (ANNs) are massively parallel systems with large numbers of interconnected simple processors. Electricity is being produced in large amount with power plants with coal, oil as primary source and use of these fuels results in increasing pollution and green house problems. Day by day increasing consumption of these fuels is leading towards the extinction of these conventional fuel sources. Now a days nonconventional energy sources are being installed in modern power systems worldwide to solve the crisis of fossil fuels. But the penetration of these non-conventional sources in the power system affects the quality and stability of system in adverse manner. This paper presents an effective concept called Electrical Spring to regulate the mains voltage despite of fluctuations caused due to intermittent nature of renewable energy sources using different types of control techniques. This technology reduces the voltage fluctuations on grid and stabilizes the power system with substantial penetration of intermittent renewable energy sources in distribution systems by using artificial neural networks (ANN). ANNs determine the appropriate system topology that reduces the power loss according to the variation of load pattern. The control strategy can be easily obtained on the basis of the system topology which is provided by ANNs.

Electric spring, ANN, Renewable energy

"ANN APPLICATION ON A SIMPLE ACTIVE AND REACTIVE POWER CONTROL OF A SINGLE PHASE ELECTRIC SPRING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.152-158, February-2020, Available :http://www.jetir.org/papers/JETIRDJ06022.pdf

"ANN APPLICATION ON A SIMPLE ACTIVE AND REACTIVE POWER CONTROL OF A SINGLE PHASE ELECTRIC SPRING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp152-158, February-2020, Available at : http://www.jetir.org/papers/JETIRDJ06022.pdf