What question did this study set out to answer?

This research aims to develop techniques for minimizing peak load in smart grids through effective demand side management.

January 1, 2015Open Access

Demand Side Management to Minimize Peak-to-Average Ratio in Smart Grid

EMEmmanuel ManassehHiroshima University SOShûichi OhnoOsaka Metropolitan University KKKhamisi KalegeleTohoku Institute of Technology

Key Points

This research aims to develop techniques for minimizing peak load in smart grids through effective demand side management.
Developed a demand side management (DSM) technique to optimize peak load strategies.
Analyzed a smart power system with multiple residential end-users.
Considered end-user strategies involving energy scheduling and storage during varying demand periods.
End-users successfully minimized peak-to-average ratio, enhancing grid efficiency.
Utilization of renewable energy and storage significantly contributed to reducing peak loads.
Users could charge storage during low-demand and discharge during peak demand, effectively managing energy costs.

Abstract

In this paper, a demand side management (DSM) technique for minimizing the peak load of the electric grid is proposed. The grid optimization problem is formulated and analyzed to find the optimized strategies. A smart power system with multi-residential end-users connected to a single energy source is considered. The end-users attempt to minimize peak-to-average ratio (PAR) of the electric grid by using energy scheduler (ES) as well as their energy production and storage strategies. Some end-users posses renewable energy sources (RESs), distribution generators (DGs), storage devices or both. Users charge their storage devices at low-demand periods and discharge them at high-demand periods. Likewise, end-users produces electricity during the peak hours to minimize their energy cost.

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