Integrated active/reactive power scheduling of interdependent microgrid and EV fleets based on stochastic multi-objective normalised normal constraint

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...

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Bibliographic Details
Published in:IET generation, transmission & distribution Vol. 14; no. 11; pp. 2055 - 2064
Main Authors: Saffari, Mohammadali, Kia, Mohsen, Vahidinasab, Vahid, Mehran, Kamyar
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 05.06.2020
Subjects:
aforementioned techno‐economic trade‐off
bidirectional charger
bi‐objective operation
coordinated optimisation
designed integrated framework
distributed power generation
economic objective
electric vehicle fleet entities
electric vehicles
EV's integration
EVs integrated energy management
integer programming
interdependent microgrid
linear programming
market price fluctuations
MG optimal operation changes
MG's operation cost minimisation
MG's voltage deviation
multiobjective mixed‐integer nonlinear programming problem
nonlinear programming
normalised normal constraint approach
optimisation
Pareto optimisation
power markets
reactive power
Research Article
solar panel power provision
stochastic multiobjective
technical objective
techno‐economical objective functions
trade‐off analysis
interdependent microgrid
stochastic multiobjective
bi-objective operation
nonlinear programming
electric vehicles
integer programming
MG's voltage deviation
market price fluctuations
coordinated optimisation
aforementioned techno-economic trade-off
linear programming
distributed power generation
techno-economical objective functions
MG optimal operation changes
optimisation
power markets
EV's integration
MG's operation cost minimisation
solar panel power provision
trade-off analysis
Pareto optimisation
economic objective
technical objective
normalised normal constraint approach
bidirectional charger
multiobjective mixed-integer nonlinear programming problem
reactive power
designed integrated framework
EVs integrated energy management
electric vehicle fleet entities
ISSN:1751-8687, 1751-8695
Online Access:Get full text
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Description
Summary: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.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2019.1406