Demand Side Management Energy Management System for Distributed Networks

Abstract

This paper is focused on the development of a demand side management control method in a distributed network, aiming the creation of greater flexibility in demand and better ease the integration of renewable technologies. In particular, this work presents a novel multi-agent model-based predictive control method to manage distributed energy systems from the demand side, in presence of limited energy sources with fluctuating output and with energy storage in household or car batteries. Specifically, here is presented a solution for thermal comfort which manages a limited shared energy resource via a demand side management perspective, using an integrated approach that includes an auction and a shifting load strategy. The control is applied individually to a set of Thermal Control Areas, demand units, where the objective is to minimize the energy usage and not exceed the limited and shared energy resource, while simultaneously indoor temperatures are maintained within a comfort frame. The developed solution is explained and applied to different scenarios wherein the results illustrate the benefits of the proposed approach.

A Stackelberg Game Approach for Price Response Coordination of Thermostatically Controlled Loads

“…In 1, we consider the TCLs in different houses or offices where the evolution of the internal temperature is mainly effected by the heat exchange between inside and outside, hence there is no heat exchange among the TCLs [26]. Besides, Equation (1) is formulated for cooling TCLs such as air conditioners.…”

Enhanced demand side management for solar‐based isolated microgrid system: Load prioritisation and energy optimisation

“…With microcontroller-based technology, more flexibility on the load can be achieved with a decentralised control of the grid energy [23] such that individual households are employed with remote control technology to handle the consumption. Each household smart meter is coupled with an energy management system (EMS) or designed with an inbuilt EMS known as advanced metering infrastructure (AMI) [24]. These controllers are integrated with data acquisition system (sensors), computation and control technology (microcontroller/processor, programable logic circuit) [25,26], and communication technology (Zigbee, WIFI, LoWAN, Bluetooth) [23,[26][27][28], which enable the controller to communicate with the local smart meter, remote user controller, or/and central controller (i.e.…”