Decentralized Optimal Scheduling for Charging and Discharging of Plug-In Electric Vehicles in Smart Grids

Xing, Hao; Fu, Minyue; Lin, Zhiyun; Mou, Yuting

doi:10.1109/tpwrs.2015.2507179

Cited by 143 publications

(77 citation statements)

References 19 publications

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“…For this purpose, a bidirectional data flow takes place between the aggregator and electric vehicle supply equipments (EVSEs). The decentralized control architecture, on the other hand, allows each PEV to determine its own discharging profile [18][19][20]. It is more flexible in terms of PEV user convenience and easier to implement in the field.…”

Section: Introductionmentioning

confidence: 99%

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

Erdoğan

Erden

Kisacikoglu

2018

J. Mod. Power Syst. Clean Energy

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This study focuses on the potential role of plugin electric vehicles (PEVs) as a distributed energy storage unit to provide peak demand minimization in power distribution systems. Vehicle-to-grid (V2G) power and currently available information transfer technology enables utility companies to use this stored energy. The V2G process is first formulated as an optimal control problem. Then, a two-stage V2G discharging control scheme is proposed. In the first stage, a desired level for peak shaving and duration for V2G service are determined off-line based on forecasted loading profile and PEV mobility model. In the second stage, the discharging rates of PEVs are dynamically adjusted in real time by considering the actual grid load and the characteristics of PEVs connected to the grid. The optimal and proposed V2G algorithms are tested using a real residential distribution transformer and PEV mobility data collected from field with different battery and charger ratings for heuristic user case scenarios. The peak shaving performance is assessed in terms of peak shaving index and peak load reduction. Proposed solution is shown to be competitive with the optimal solution while avoiding high computational loads. The impact of the V2G management strategy on the system loading at night is also analyzed by implementing an off-line charging scheduling algorithm.

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Section: Introductionmentioning

confidence: 99%

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

Erdoğan

Erden

Kisacikoglu

2018

J. Mod. Power Syst. Clean Energy

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“…In this type of EV the power be created, the internal combustion engine is divided into two parts, mechanical and electrical which electrical parts are 13 controlled so that the engine at its optimal point of work. This will be done by the separator and energy storage (batteries), the produced electricity in addition to uses in the electric motor it will be saved in the battery.…”

Section: Fig 9 Architectures Of Parallel Hevmentioning

confidence: 99%

“…The results of these incentives have been solar, wind, and wave energies, which are substituting for conventional sources. On another hand, using current loads such as EV and Personal Computer (PC) based on power electronic have been increased, remarkably [13][14][15]. After finding reliable sources, the next step is to handle these energies and convert them into the electrical energy.…”

Section: Energy Management System In Electric Vehiclementioning

confidence: 99%

Electric and Hybrid Vehicle Drives and Smart Grid Interfacing

Sharaf¹,

Omar

Gandoman

et al. 2018

Advances in Renewable Energies and Power Technologies

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Over the few last decades, the demand for electrical energy is rising remarkably. As a result, the usage of environmentally friendly and renewable energy sources has been increased. Parallel to these developments, the number of the gasoline-powered vehicle has been increased and therefore the energy shortages and environmental concerns increased as well. From this perspective, research into the usage of renewable energy sources instead of fossil fuels in the automotive industry is proceeding fast. One of the most important issues, which play a significant role in overcoming the problem mentioned above, is the implementation of modern electrical networks including Electric Vehicle (EVs). In this chapter, the standard EVs applications in smart grids are presented and discussed. Besides, two novel low-impacts efficient Vehicle to Hybrid (V2H) battery and Hybrid Vehicle to Grid (V2G) smart grid battery are presented. The new schemes utilized switched filter-capacitive compensation to ensure fast multi-mode charging with enhanced power quality and power factor in addition to minimal inrush currents and improved energy utilization.

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“…V2G has received significant attention from the research community [26][27][28][29][30]. In particular, a detailed review of V2G operation is given in [29].…”

Section: Introductionmentioning

confidence: 99%

Bi-Directional Coordination of Plug-In Electric Vehicles with Economic Model Predictive Control

et al. 2017

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Abstract:The emergence of plug-in electric vehicles (PEVs) is unveiling new opportunities to de-carbonise the vehicle parcs and promote sustainability in different parts of the globe. As battery technologies and PEV efficiency continue to improve, the use of electric cars as distributed energy resources is fast becoming a reality. While the distribution network operators (DNOs) strive to ensure grid balancing and reliability, the PEV owners primarily aim at maximising their economic benefits. However, given that the PEV batteries have limited capacities and the distribution network is constrained, smart techniques are required to coordinate the charging/discharging of the PEVs. Using the economic model predictive control (EMPC) technique, this paper proposes a decentralised optimisation algorithm for PEVs during the grid-to-vehicle (G2V) and vehicle-to-grid (V2G) operations. To capture the operational dynamics of the batteries, it considers the state-of-charge (SoC) at a given time as a discrete state space and investigates PEVs performance in V2G and G2V operations. In particular, this study exploits the variability in the energy tariff across different periods of the day to schedule V2G/G2V cycles using real data from the university's PEV infrastructure. The results show that by charging/discharging the vehicles during optimal time partitions, prosumers can take advantage of the price elasticity of supply to achieve net savings of about 63%.

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Decentralized Optimal Scheduling for Charging and Discharging of Plug-In Electric Vehicles in Smart Grids

Cited by 143 publications

References 19 publications

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

Electric and Hybrid Vehicle Drives and Smart Grid Interfacing

Bi-Directional Coordination of Plug-In Electric Vehicles with Economic Model Predictive Control

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