This PhD research proposes a new objective function for optimal on-line PEV coordination. A new enhanced on-line coordinated charging using coordinated aggregated particle swarm particle optimization (OLCC-CAPSO) has been used to solve the PEV coordination objective objection and associated constraints. The objective function provides a chance for all PEVs to start charging as quickly as possible, while customer satisfaction function is being optimized subject to network criteria including voltage profiles, generator and distribution transformer ratings
Over the next decade, a massive number of plug‐in electric vehicles (PEVs) will need to be integrate...
In most countries, the problems of energy and environment are becoming worse. To deal with the envir...
Technological advancement, environmental concerns, and social factors have made plug-in electric veh...
© 2016 Elsevier B.V. Participation of plug-in electric vehicles (PEVs) is expected to grow in emergi...
This PhD thesis will propose an optimal online charge control through genetic algorithm for G2V coor...
The main impact of uncoordinated plug-in electric vehicle (PEV) charging is adding new time-variant ...
Participation of plug-in electric vehicles (PEVs) is expected to grow in emerging smart grids. A str...
The main impact of uncoordinated plug-in electric vehicle (PEV) charging is adding new time-variant ...
This paper proposes an online fuzzy coordination algorithm (OL-FCA) for charging plug-in electric ve...
Optimal coordinated charging of plugged-in electric vehicles (PEVs) in smart grid (SG) can be benefi...
In this paper, a heuristic load management algorithm (H-LMA) is proposed for Plug-in Electric Vehicl...
Integration of plug-in electric vehicles (PEVs) in a smart grid largely deteriorates the performance...
Electric utilities are concern with the impacts of new generations of smart appliances such as Plug...
Advancements in technology and awareness of energy conservation and environmental protection have in...
© 2017 IEEE. The worldwide application and grid-to-vehicle charging of plug-in electric vehicles (PE...
Over the next decade, a massive number of plug‐in electric vehicles (PEVs) will need to be integrate...
In most countries, the problems of energy and environment are becoming worse. To deal with the envir...
Technological advancement, environmental concerns, and social factors have made plug-in electric veh...
© 2016 Elsevier B.V. Participation of plug-in electric vehicles (PEVs) is expected to grow in emergi...
This PhD thesis will propose an optimal online charge control through genetic algorithm for G2V coor...
The main impact of uncoordinated plug-in electric vehicle (PEV) charging is adding new time-variant ...
Participation of plug-in electric vehicles (PEVs) is expected to grow in emerging smart grids. A str...
The main impact of uncoordinated plug-in electric vehicle (PEV) charging is adding new time-variant ...
This paper proposes an online fuzzy coordination algorithm (OL-FCA) for charging plug-in electric ve...
Optimal coordinated charging of plugged-in electric vehicles (PEVs) in smart grid (SG) can be benefi...
In this paper, a heuristic load management algorithm (H-LMA) is proposed for Plug-in Electric Vehicl...
Integration of plug-in electric vehicles (PEVs) in a smart grid largely deteriorates the performance...
Electric utilities are concern with the impacts of new generations of smart appliances such as Plug...
Advancements in technology and awareness of energy conservation and environmental protection have in...
© 2017 IEEE. The worldwide application and grid-to-vehicle charging of plug-in electric vehicles (PE...
Over the next decade, a massive number of plug‐in electric vehicles (PEVs) will need to be integrate...
In most countries, the problems of energy and environment are becoming worse. To deal with the envir...
Technological advancement, environmental concerns, and social factors have made plug-in electric veh...