A Bilayer Clustered-Priority-Driven Energy Management Model for inclining block rate tariff environment

Abstract

This article proposes an energy management model for residences in an inclining block rate (IBR) tariff environment. Given a cluster, i.e., a group of appliances that satisfy certain requirements, the proposed scheme is primarily driven by two layers of clustered priorities. The first layer of clusters comprises various services of the residences and governs it with shareable z1 priorities, and the second layer of clusters binds the major power-consuming appliances under each substation and regulates it with dynamically changing z2 priorities. Integer linear programming is used to solve the multicriteria decision problem crafted to address both grid-connected and isolated modes of operations. The model is tested on MATLAB using the IEEE 123-bus system with the modified Pecan Street dataset. Various results reveal that the proposed model is effective in providing a reliable power supply to the critical loads in all the scenarios while keeping the price within the preference limit with minimum comfort-loss for end-users, even in the presence of nonresponsive IBR environment.