Integrated active/reactive power scheduling of interdependent microgrid and EV fleets based on stochastic multi‐objective normalised normal constraint. Issue 11 (22nd April 2020)

• Record Type: Journal Article
• Authors: Saffari, Mohammadali; Kia, Mohsen; Vahidinasab, Vahid; Mehran, Kamyar
• Is Part Of: IET generation, transmission & distribution. Volume 14:Issue 11(2020)
• Page Start: 2055
• Page End: 2064
• Publication Date: 2020-04-22
• Subjects: optimisation -- distributed power generation -- linear programming -- nonlinear programming -- Pareto optimisation -- reactive power -- electric vehicles -- power markets -- integer programming; EVs integrated energy management -- bi‐objective operation -- interdependent microgrid -- stochastic multiobjective -- coordinated optimisation -- electric vehicle fleet entities -- normalised normal constraint approach -- bidirectional charger -- EV's integration -- techno‐economical objective functions -- trade‐off analysis -- economic objective -- MG's operation cost minimisation -- technical objective -- MG's voltage deviation -- solar panel power provision -- market price fluctuations -- aforementioned techno‐economic trade‐off -- multiobjective mixed‐integer nonlinear programming problem -- designed integrated framework -- MG optimal operation changes; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2019.1406
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : This study proposes an integrated framework for coordinated optimisation of the interdependent microgrid (MG) and electric vehicle (EV) fleet entities using the normalised normal constraint approach. By considering the active/reactive power management option of the bidirectional charger enabled EVs in the proposed model, the authors investigate the effectiveness of EV's integration in the presence of the techno‐economical objective functions. This work concentrates on the trade‐off analysis of two conflicting objectives, including the economic objective of the MG's operation cost minimisation and the technical objective of the MG's voltage deviation. Besides, they consider several uncertainty sources, e.g. wind, EV and solar panel (PV) power provision, as well as market price fluctuations in the proposed model affecting the aforementioned techno‐economic trade‐off solution. The proposed model is a stochastic multi‐objective mixed‐integer non‐linear programming problem where the authors apply the designed integrated framework on a modified IEEE 18‐bus test case in GAMS software. Through numerical results, they demonstrate MG optimal operation changes due to different MGO priorities and study the positive effects of EVs integrated energy management on the bi‐objective operation.