Investigating the Impact of Load Profile Attributes on Demand Response Exchange

This paper investigates the impact of load profiling attributes on the demand response exchange (DRX) mechanism. Modeling of demand response (DR) seller bids in traditional approach/model includes a customer willingness factor assigned in a random/arbitrary manner. The proposed model of DR bids takes into account, the load attributes such as utilization and availability factors. The criticality and willingness of the DR load/customer are embedded into seller market bids through utilization and availability factor, respectively. Various cost models have been developed to emulate the possible customer behavior in DR cost modeling. However, modeling of indistinct and uncertain nature of customer behavior is a complex issue in real-time consideration. Therefore, this paper also presents a fuzzy inference system (FIS) for considering the customer load profile attributes in DR bids. In addition, parameter tuning of fuzzy membership functions is also carried out in this paper using heuristic optimization techniques to improve the performance of FIS in DRX clearing. The proposed methodology with load profile attributes is simulated considering various load types across different load sectors. Simulation results of proposed tuned FIS-based DRX clearing are compared with other nonfuzzy models, conventional models without load attributes and untuned FIS system to demonstrate the effectiveness of tuned FIS with load profile attribute consideration in DRX clearing.