Active potential mining of day-ahead invitation demand response for industrial conveying loads

Abstract

Aiming at industrial loads with high flexibility, such as material conveying processes, an active potential mining method for day-ahead invitation demand response is studied through optimization. Under the day-ahead invitation demand response mechanism, an aggregation method for industrial conveying loads and an active potential mining framework for load aggregators participating in demand response are proposed. The demand response potential mining of the conveying load aggregators is formulated as optimization problems. Through the constructions of publishment functions attaching to demand response period, a potential mining model for day-ahead invitation demand response and an integrated potential mining model capable to response to day-ahead invitation demand and time-of-use tariff simultaneously are built, respectively. A cement clinker conveying system is taken as the study case to verify the demand response active potential mining models under multi-operating conditions. The results show that the proposed active potential mining models can actively participate in day-ahead invitation demand response and obtain the maximum potential, meanwhile, satisfy all the production requirements and safety constraints. The models can be references for highly flexible industrial loads to participate in demand response.