Price based Demand Response strategy considering load priorities

Demand Response (DR) refers to response of the load according to the supply conditions such as tariff, frequency etc. This feature is relevant in a system with high penetration of intermittent renewable energy resources. Current strategies do not consider the user inconvenience or losses caused by DR. In this paper, a new strategy for DR considering the user inconvenience/losses caused by load re-scheduling is presented. Demand response in smart grid involves changing the electricity usage profile of the customer according to energy pricing for economic advantage. But it causes loss of comfort, energy loss and productivity loss for the user. An approach is proposed to address this issue using Predicted Mean Vote (PMV) based thermal sensation model for estimating thermal comfort with Heating, Ventilating and Air Conditioning (HVAC) Loads. Mathematical formulation to account energy losses and productivity losses during DR is also proposed A multi-objective algorithm based on evolutionary computation for load scheduling was developed and tested for multiple scenarios.