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Ensuring the reduction in peak load demands based on load shifting DSM strategy for smart grid applications

Praveen Mande, Garimella Visweswara Rao

2020Procedia Computer Science34 citationsDOIOpen Access PDF

Abstract

In recent year the concept of prosumers (energy producer as well as the consumer) is becoming more popular, and on the other side, demand response has gained attention especially in the smart and micro grid systems. In such power networks, the behaviors of prosumers are highly variable due to many factors and few are price depended, incentive depended etc., Due to the highly dynamic nature of the prosumers, the peak load management is becoming crucial in the power system operation and control especially in smart grids, in which demand side management (DSM) application thought to be useful. This paper presents a simulation study on the role of DSM in the peak load management for a residential community. Here, load shitting-based DSM technique is used. This study considered the daily consumption patterns (hour wise) of electricity using the four types of electric loads. Results showed a considerable decrease in the peak load when compared to the load patterns before applying DSM. The average demand per day in summer is 4.521 kW, and in winter is 3.871 kW. The summary of peak load demands per day in kW without DSM are 14.712 kW, and 18.18 kW for summer and winter respectively. With the load shifting based DSM technique, the peak load per day are reduced to 9.6 kW in the summer season and 9.672 kW in the winter season.

Topics & Concepts

Smart gridComputer scienceLoad shiftingPeak demandDemand responseLoad balancing (electrical power)Peak loadIncentiveElectricityLoad managementGridDemand sideElectric power systemBase load power plantConsumption (sociology)Load profileReduction (mathematics)Environmental economicsAutomotive engineeringPower (physics)Electrical engineeringMicroeconomicsMathematicsEconomicsQuantum mechanicsSocial scienceGeometryEngineeringPhysicsSociologySmart Grid Energy ManagementEnergy Efficiency and ManagementEnergy Load and Power Forecasting
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