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

Mohammad Rasoul Narimani, Maigha, Jhi-Young Joo and Mariesa Crow
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Mohammad Rasoul Narimani: Department of electrical and computer engineering, Missouri University of Science and Technology, Rolla, MO 65401, USA
Maigha: Department of electrical and computer engineering, Missouri University of Science and Technology, Rolla, MO 65401, USA
Jhi-Young Joo: Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Mariesa Crow: Department of electrical and computer engineering, Missouri University of Science and Technology, Rolla, MO 65401, USA

Energies, 2017, vol. 10, issue 5, 1-18

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.

Keywords: demand side management; electric vehicles; flexible loads; acceptable delay time; smart grid; multi-objective optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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