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Article type: Research Article
Authors: Kamankesh, Hamidreza; * | Zhang, Daming
Affiliations: School of Electrical Engineering and Telecommunications, The University of New South Wales (UNSW) Sydney, NSW, Australia
Correspondence: [*] Corresponding author. Hamidreza Kamankesh, School of Electrical Engineering and Telecommunications, The University of New South Wales (UNSW) Sydney, NSW, Australia. Tel./Fax: +61 6478188492; E-mail: [email protected].
Abstract: This paper investigates the optimal structure switching in the microgrid for improving the electrical services for cost minimization and power quality improvement. The proposed framework makes use of some tie and sectionalizing switches for changing the microgrid feeding path to the electrical consumers and thus minimizing the resistive power losses. This concept is assimilated with the mobile storage capability of electric vehicles to improve the operation of the microgrid. The wöhler curve is used to model the degradation costs of battery charging and discharging process in the electric vehicles. The proposed problem is formulated as a mixed-integer nonlinear optimization problem which is solved using the social spider optimization algorithm. Also, an effective two-phase modification method is developed to improve the algorithm diversity and avoid the premature convergence. An IEEE test system is used to investigate the performance of the proposed model.
Keywords: Renewable energy sources, switching of feeders, microgrid, electric vehicle, wöhler curve
DOI: 10.3233/JIFS-172126
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 2149-2159, 2018
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