AN MILP FORMULATION FOR LOAD-SIDE DEMAND CONTROL

This paper presents a mixed integer linear programming formulation for load-side control of electrical energy demand. The formulation utiliz es demand prediction to determine if control actions are necessary, an d it schedules both shedding and restoration times based on an optimiz ation model that minimizes the net cost of load shedding. Operational constraints are satisfied through the use of minimum/maximum uptimes/d owntimes, which depend upon the current state of the system. The algor ithm is evaluated using a simulation model of an underground coal mini ng operation where, (i) its performance is compared with a traditional static, priority-based, load-shedding schedule, and, (ii) its potenti al is established for producing net savings through demand control.