Customer profiling-based optimal load shaving solution

This paper presents a new solution for load management of a power grid to address the ever growing supply shortage problem. It profiles customers´ load behavior data provided by the advanced metering infrastructure and divides the power customers into groups based on their usage characteristics. The possible load management strategy for each of the group(s) was developed to guide the customer´s participation in the system load shaving process. An optimization model is developed to perform the load shaving analysis subject to the constraints of the customer participation strategies for each of the group(s) and other load management constraints. The optimization solution provides a recommended load management decision for each of the power customers in order to optimally reduce the system peak load and increase the valley load such that the predicted system peak hour supply shortage could be avoided. The developed load shaving optimization model was solved utilizing the Mixed Integer Linear Programming technique.