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Energies 2017, 10(5), 624; doi:10.3390/en10050624

Multi-Objective Dynamic Economic Dispatch with Demand Side Management of Residential Loads and Electric Vehicles

1
Department of electrical and computer engineering, Missouri University of Science and Technology, Rolla, MO 65401, USA
2
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Michael Gerard Pecht
Received: 22 January 2017 / Revised: 26 April 2017 / Accepted: 27 April 2017 / Published: 3 May 2017
(This article belongs to the Section Electrical Power and Energy System)
View Full-Text   |   Download PDF [769 KB, uploaded 3 May 2017]   |  

Abstract

In this paper, a multi-objective optimization method based on the normal boundary intersection is proposed to solve the dynamic economic dispatch with demand side management of individual residential loads and electric vehicles. The proposed approach specifically addresses consumer comfort through acceptable appliance deferral times and electric vehicle charging requirements. The multi-objectives of minimizing generation costs, emissions, and energy loss in the system are balanced in a Pareto front approach in which a fuzzy decision making method has been implemented to find the best compromise solution based on desired system operating conditions. The normal boundary intersection method is described and validated. View Full-Text
Keywords: demand side management; electric vehicles; flexible loads; acceptable delay time; smart grid; multi-objective optimization demand side management; electric vehicles; flexible loads; acceptable delay time; smart grid; multi-objective optimization
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MDPI and ACS Style

Narimani, M.R.; Maigha; Joo, J.-Y.; Crow, M. Multi-Objective Dynamic Economic Dispatch with Demand Side Management of Residential Loads and Electric Vehicles. Energies 2017, 10, 624.

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