Programs
- B. Sc. Clinical Nutrition, Dietetics, and Food Science - Undergraduate
- Post Doctoral Fellowship in EEG & Clinical Epileptology - Fellowship
Publication Type : Conference Proceedings
Publisher : ICICCS
Source : Proceedings of the 2nd International Conference on Intelligent Computing and Control Systems, ICICCS 2018, Institute of Electrical and Electronics Engineers Inc., p.1106-1112 (2019)
ISBN : 9781538628423
Keywords : Control systems, Demand Response, Demand supplies, Electric load management, Electric power plant loads, Energy utilization, Forecasting, Genetic algorithms, Intelligent computing, Load forecasting, Micro grid, Multiple regressions, Outages, Particle swarm optimization (PSO)
Campus : Bengaluru
School : School of Engineering
Department : Electrical and Electronics
Year : 2019
Abstract : The demand to supply proportion of power is highly misinterpreted and misconceived in many developed countries and its importance becomes vital when there is a heavy negative drift from the supply end. This phenomenon becomes adverse during prime hours and can have a severe impact on microgrid. The rhythmic growth in peak demand has increased the probability of power failures, blackouts and marginal cost of supply. This immeasurable fluctuation in the energy consumption rate has led to a considerable increase in the operational cost of grid. The after affects might be even more phenomenal in case of microgrids. The load optimization and forecasting helps grid to operate in a optimal way. This paper proposes an algorithm to reduce the complications faced by such unpredictable situation in microgrids using short term load forecasting and load optimization method, having consumers data (accepted)as input. © 2018 IEEE.
Cite this Research Publication : S. Reddy, Neppalli, Y., and K. Sireesha, “Load Optimization and Forecasting for Microgrids”, Proceedings of the 2nd International Conference on Intelligent Computing and Control Systems, ICICCS 2018. Institute of Electrical and Electronics Engineers Inc., pp. 1106-1112, 2019.