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Integration of smart grid with renewable sources using soft computing technique

Sakshi Bangia

Abstract

This paper presents a control strategy for achieving maximum benefits from the smart grids which are widely used in various industrial applications. A smart grid is an electricity grid that incorporates automatic, two-way communication networks for transmitting energy from a power station to households, businesses, etc. Smart grids often provide feedback to grid operators about control interferences and electricity use. It is the combination of power system, distribution, transmission, communication, and switching equipment’s considering the safety purpose. The controlling technique is used in MPPT is Fuzzy logic integration which is used to find maximum point of power tracked through controller in which Mamdani control is used for better utility. The P&O Technique describe in the proposed work has an algorithm which defines the power as error and changes in it appears than after its rectification saturated output will be provided accordingly to the requirements of the system. The proposed work for power consumption with renewable energies and controlling technique is successfully achieved by comparing power of solar/wind and grid which has values of 4KW whereas that of grid is 2KW with P&O technique. The values of solar energy are increased to 8kw and grid power consumption is decreased, so higher and smooth utilization of power is obtained with Fuzzy Controller.

Smart Grid Energy ManagementMicrogrid Control and OptimizationPower Systems and Renewable EnergyRenewable energySmart gridComputer scienceGridSoft computingDistributed computingElectrical engineeringEngineeringGeologyArtificial intelligence
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Integration of smart grid with renewable sources using soft computing technique · Scinovex