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dc.contributor.authorDash, S.-
dc.contributor.authorSodhi, R.-
dc.contributor.authorSodhi, B.-
dc.date.accessioned2021-10-22T00:12:55Z-
dc.date.available2021-10-22T00:12:55Z-
dc.date.issued2021-10-22-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3093-
dc.description.abstractThis paper proposes an energy management (EM) model for residences in an inclining block rate (IBR) tariff environment. Given a cluster, i.e., a group of appliances which satisfies 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 multi-criteria decision problem crafted to address both gridconnected and isolated modes of operations. The model is tested on MATLAB using the IEEE 123-bus system with 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 presence of non-responsive IBR environment.en_US
dc.language.isoen_USen_US
dc.subjectDemand Responseen_US
dc.subjectEnergy Managementen_US
dc.subjectClustered Priorityen_US
dc.subjectInclining Block Rateen_US
dc.subjectIncentivesen_US
dc.subjectAggregatoren_US
dc.titleA Bi-Layer clustered priority driven energy management model for inclining block rate tariff environmenten_US
dc.typeArticleen_US
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