Novel optimization technique for energy demand management via dispatchable, non dispatchable and storage devices

Abstract

This paper presents a novel demand side management with integration of renewable energy sources and storage devices. The presented work includes both traditional consumers and smart consumers (equipped with energy consumption schedulers, energy generation and storage devices). The users are intended to reduce their energy usage and prices by using renewable energy sources rather purchasing from the grid which can be regulated by the independent central unit by means of day ahead optimization process. The resulting grid optimization problem is formulated as a non-cooperative game. It is assumed that the independent central unit can adopt adequate pricing tariffs that differentiate the energy usage in time and level. Furthermore, we present a distributed algorithm to be run on the users' smart meters, which provide the optimal production and/or storage strategies, while preserving the privacy of the users. Finally, Simulation results confirm that the proposed approach can reduce the peak-to-average ratio of the total energy demand, the total energy costs, as well as each user's individual daily electricity charges. Moreover, the block pricing method is proved to be more beneficiary for the users compared to hourly pricing strategy.