Real-Time Energy Management Algorithm for Plug-In Hybrid Electric Vehicle Charging Parks Involving Sustainable Energy

Mohamed, Azah; Salehi, Vahid; Ma, Tao; Mohammed, Osama A.

doi:10.1109/tste.2013.2278544

Cited by 273 publications

(70 citation statements)

References 14 publications

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“…In the past few decades, the integration of renewable energy sources (RES) along with energy storage systems has been gaining a remarkable pace throughout the world. Plug-in hybrid electric vehicles (PHEVs) are achieving great popularity owing to the global call for clean energy [1]. The penetration of PHEVs in the power grid constitutes an emerging technology [2,3].…”

Section: Introductionmentioning

confidence: 99%

Energy Management and Control of Plug-In Hybrid Electric Vehicle Charging Stations in a Grid-Connected Hybrid Power System

et al. 2017

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Abstract:The charging infrastructure plays a key role in the healthy and rapid development of the electric vehicle industry. This paper presents an energy management and control system of an electric vehicle charging station. The charging station (CS) is integrated to a grid-connected hybrid power system having a wind turbine maximum power point tracking (MPPT) controlled subsystem, photovoltaic (PV) MPPT controlled subsystem and a controlled solid oxide fuel cell with electrolyzer subsystem which are characterized as renewable energy sources. In this article, an energy management system is designed for charging and discharging of five different plug-in hybrid electric vehicles (PHEVs) simultaneously to fulfil the grid-to-vehicle (G2V), vehicle-to-grid (V2G), grid-to-battery storage system (G2BSS), battery storage system-to-grid (BSS2G), battery storage system-to-vehicle (BSS2V), vehicle-to-battery storage system (V2BSS) and vehicle-to-vehicle (V2V) charging and discharging requirements of the charging station. A simulation test-bed in Matlab/Simulink is developed to evaluate and control adaptively the AC-DC-AC converter of non-renewable energy source, DC-DC converters of the storage system, DC-AC grid side inverter and the converters of the CS using adaptive proportional-integral-derivate (AdapPID) control paradigm. The effectiveness of the AdapPID control strategy is validated through simulation results by comparing with conventional PID control scheme.

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Section: Introductionmentioning

confidence: 99%

Energy Management and Control of Plug-In Hybrid Electric Vehicle Charging Stations in a Grid-Connected Hybrid Power System

et al. 2017

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“…Generally, most of the above methods are optimization problems with explicit objective functions, and can be solved by quadratic programming, mixed-integer programming, particle swarm optimization, or other methods. Recently, real-time V2G control has emerged as a promising future research direction [23][24][25][26]. Also, real-time control strategies for EVs in participation of frequency regulation are still actively pursued [27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Topology of a Bidirectional Converter for Energy Interaction between Electric Vehicles and the Grid

2014

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Abstract:In vehicle-to-grid (V2G) systems, electric vehicles interact with the grid as distributed energy storage systems that offer many potential benefits. As an energy interface between a vehicle and the grid, the bidirectional converter plays a crucial role in their interaction. Its reliability, safety, cost, efficiency, weight, size, harmonics, and other factors are of essential importance for V2G realization, especially for on-board operations. Beyond the common existing topologies for bidirectional chargers, this paper introduces a novel high-power-factor bidirectional single-stage full-bridge (BSS-FBC) topology, which offers advantages in power density, size, weight, cost, efficiency, power quality, dynamic characteristic, reliability, and complexity. Its operational principles and control strategies are presented. Harmonic analysis on the basis of double-Fourier integral is performed with detailed comparison of line current harmonic characteristics between the BSS-FBC topology and unipolar/bipolar controlled single-phase pulse width modulation (PWM) converters. A dynamic model of the topology is derived, its dynamic behavior analyzed, and its compensator design method developed. Simulation and experimental results are employed to verify the design and analysis. Design considerations for the key parameters are discussed. A 3.3 kW prototype is developed for this topology and validated in its vehicle applications. The results demonstrate clearly the benefits and advantages of the new topology.

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“…On the other hand, they can also be seen as wide-spread energy storage assets, which could provide extremely valuable services to the grid and/or the owners of the vehicles. By integrating intelligent systems into the management of the charging and discharging of the vehicles, they can be leveraged while maintaining the transportation requirements of the user [24].…”

Section: Smart Grid Technologymentioning

confidence: 99%

Fully Decentralized Multi-Agent System for Optimal Microgrid Control

Azevedo¹

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Real-Time Energy Management Algorithm for Plug-In Hybrid Electric Vehicle Charging Parks Involving Sustainable Energy

Cited by 273 publications

References 14 publications

Energy Management and Control of Plug-In Hybrid Electric Vehicle Charging Stations in a Grid-Connected Hybrid Power System

Energy Management and Control of Plug-In Hybrid Electric Vehicle Charging Stations in a Grid-Connected Hybrid Power System

Topology of a Bidirectional Converter for Energy Interaction between Electric Vehicles and the Grid

Fully Decentralized Multi-Agent System for Optimal Microgrid Control

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