A novel demand response algorithm for grid-connected microgrids that maximises renewable energy utilisation

Utilizing wind and solar electricity effectively in the power system is difficult due to the uncertainty these sources bring. The conventional method for handling its erratic power supply is to instal battery energy storage systems (BESS). However, BESS can't get widespread use because of its prohibitive price tag. In this study, we look at the demand response (DR) strategy to see whether or not it is a viable option for optimising the use of renewable energy sources like wind and solar. Specifically for managing the operations of thermostatically controlled appliances (TCAs) like air conditioners, a novel DR technique called weighted coefficient queuing (WCQ) algorithm has been created (AC). In order to customise the amount of reaction from their appliances, users may choose from a spectrum of colours using the WCQ algorithm, which is made up of a algorithm and a state-queuing (SQ) model. This kind of algorithm may guarantee the satisfaction and fairness of the clientele. The suggested algorithm is tested on a microgrid with one thousand ACs to ensure its efficacy.