Renewable Energy and Demand Forecasting in an Integrated Smart Grid
Vishnu Vardhan Sai Lanka, Millend Roy, Shikhar Suman, Shivam Prajapati
Abstract
The paper presents a framework that realistically simulates a microgrid and forecasts renewable energy and load demand. Electricity spot prices are also forecasted and used by the scheduler to optimize the total microgrid cost per day. The energy storage and conventional supplies are coherently scheduled to meet the demand. Forecasting models described here give an excellent insight to choose the appropriate architecture to safeguard grid stability, smooth scheduling, and energy management. Finally, the results help in a better understanding of the functioning of the smart grid system.
Topics & Concepts
MicrogridSmart gridRenewable energyComputer scienceGridScheduling (production processes)Demand responseElectricityEnergy storagePeak demandSafeguardEnergy managementIntermittent energy sourceEnvironmental economicsReliability engineeringDistributed generationEnergy (signal processing)EngineeringElectrical engineeringOperations managementPower (physics)BusinessEconomicsGeometryStatisticsInternational tradePhysicsMathematicsQuantum mechanicsMicrogrid Control and OptimizationSmart Grid Energy ManagementOptimal Power Flow Distribution