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.
M. R. Narimani et al., "Multi-Objective Dynamic Economic Dispatch with Demand Side Management of Residential Loads and Electric Vehicles," Energies, vol. 10, no. 5, MDPI AG, May 2017.
The definitive version is available at https://doi.org/10.3390/en10050624
Electrical and Computer Engineering
Keywords and Phrases
Decision making; Demand side management; Electric power transmission networks; Electric utilities; Electric vehicles; Energy dissipation; Housing; Multiobjective optimization; Scheduling; Vehicle-to-grid; Delay Time; Dynamic economic dispatch; Electric vehicle charging; Flexible loads; Fuzzy Decision making; Normal boundary intersection methods; Normal boundary intersections; Smart grid; Electric load dispatching; Acceptable delay time; Multi-objective optimization
International Standard Serial Number (ISSN)
Article - Journal
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01 May 2017