International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

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ISSN ONLINE(2278-8875) PRINT (2320-3765)

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An Efficient Utilization Of Vehicle to Grid Technology On Distribution Systems

R.Sree Ganesh1, T.R.Rashmi2
  1. Assistant professor, Dept. of ECE, Lord Jegannath College of Engineering, Kanyakumari, Tamilnadu, India
  2. PG Student [AE], Dept. of ECE, Lord Jegannath College of Engineering , Kanyakumari, Tamilnadu, India
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Abstract

Plug-in hybrid electric vehicles (PHEVs) are connected to the electricity grid. The power flow of this connection can be either unidirectional or bidirectional, so vehicles can charge and discharge. This vehicle-to-grid option can aid to improve grid efficiency and reliability. Plug-in vehicles can behave either as loads or as a distributed energy and power resource in a concept known as vehicle-to-grid (V2G) connection. The use of electric vehicles (EVs, both purely electric and hybrid) which have to charge from the grid and may also inject power back to it in order to provide valuable services to ensure system stability and avoid congestion (“vehicle-to-grid”, V2G), is expected to grow. A scenario is provided that the market penetration of about 3.3 million EVs is achieved in 2020, increasing to 50 million EVs in 2030 (with a share of about 60% of these electric vehicles being PHEVs). Smart charging is assumed to become standard after 2020. The PHEV typically have a higher capacity onboard energy storage than a hybrid electric vehicle. This also offers reactive power support, active power regulation, and load balancing.

Keywords
Charging infrastructure, distribution system, grid operator, grid-to-vehicle (G2V), plug-in electric vehicles (PEVs), regulation, smart charging, unidirectional/bidirectional power flow, utility interface, vehicle to- grid (V2G).

INTRODUCTION
The V2G concept has attracted attention from grid operators and vehicle owners. PEVs can behave either as electric loads or as generators. The charging behaviour of PEVs is affected by different factors, such as the type of connection (unidirectional or bidirectional), geographical location, the number of PEVs being charged in a given vicinity, their charging voltage and current levels, battery status and capacity, charging duration, etc.[1],[2]. Connection to the grid, control and communication between vehicles and grid operator, and onboard/ off-board smart metering are required for beneficial V2G operation [3]. A bidirectional V2G system is generally required to support energy injection back to the grid [4]. Aggregators collect PEVs into a group to create a larger, more manageable load for the utility. These groups can act as distributed energy resources to realize ancillary services and spinning reserves. Cooperation between the grid operator and vehicle owners or aggregators is important to realize the highest possible net return. Many researchers have investigated potential benefits and costs issues of V2G concepts [4]. V2G-capable vehicles offer a possible backup for renewable power sources including wind and solar power, supporting efficient integration of intermittent power production [8]. V2G systems can provide additional opportunities for grid operators, such as reactive power support, active power regulation .

V2G CONCEPTS AND REQUIREMENTS
The components and power flow of a V2G system are represented in Fig.1 . The system consists of six major subsystems: 1) energy resources and an electric utility; 2) an independent system operator and aggregator; 3) charging infrastructure and locations; 4) two-way electrical energy flow and communication between each PEV and ISO or aggregator; 5) on-board and off-board intelligent metering and control; and 6) the PEV itself with its battery charger and management. The concept requires three elements: a power connection to the grid, a communication connection with the grid operator, and suitable metering; an efficient power transaction requires substantial information exchange [10].
Smart metering can make PEVs controllable loads and help combine PEVs and renewable energy. GPS locators and onboard meters on charging stations can monitor and exchange information with the control center through a field area network [3] . Plug-in hybrid electric vehicles have the opportunity to be combined with renewable energy. Renewable energy, for instance photovoltaic and wind energy, has the property to be intermittent. In the ideal case, the renewable energy and the generation by power plants should match the general consumption, which is the household and the PHEV demand. Shock hazard risk reduction for PEV charging is addressed in, the standard for personnel protection systems for PEV supply circuits [2]. Isolation is beneficial for PEV functions, including the high-voltage battery, dc–dc converter, traction inverter and charger. Galvanic isolation is provided in electric vehicle supply equipment either with a line transformer or dc converter stage with a high frequency transformer[3].

V2G POWERFLOW
Electricity flows from generators through the grid to electricity users. Electricity flows back to the grid from the batteries in EV[1]. The control signal from the grid operator (ISO) could be a broadcast radio signal, a cell phone network, or power line carrier. The grid operator sends requests for power to a large number of vehicles [7]. The signal may go directly to each individual vehicle, to a fleet operator, or through a third-party aggregator to dispatch power from individual vehicles.
1) Unidirectional Power flow:
Power flow is bidirectional in general, as shown in Fig. 2. Unidirectional V2G, the basic battery charge process, can provide services based on reactive power and dynamic adjustment of charge rates even without reversal [2]. It requires no hardware other than an outlet and avoids extra EV battery degradation from cycling. Properly designed unidirectional chargers can supply absorb reactive power by means of current phase angle control.
2) Bidirectional Power Flow
A typical bidirectional charger has two stages: an active grid connected bidirectional ac–dc converter that enforces active power factor correction, and a bidirectional dc–dc converter to regulate the battery charge or discharge current [5],. When operating in charge mode, the charger should draw a sinusoidal current with a defined phase angle to control power and reactive power. In discharge mode, the charger should return current in a similar sinusoidal form.

CHARGING AND DISCHARGING
1. Uncoordinated Charging/Discharging
Uncoordinated charging indicates that PEV batteries either start charging immediately when plugged in or start after a user-adjustable fixed delay, and continue charging until they are fully charged or disconnected [3],[4].
The aggregated load in the simulated system is shown in Fig. 3, and peaks increase substantially.
2. Coordinated Charging/Discharging
Coordinated smart charging and discharging can optimize time and power demand and reduce daily electricity costs, voltage deviations, line currents, and transformer load surges[9]. Optimization of charging time and energy flows reduces daily electricity cost with little effect on peak capacity needs. Incremental investments and high energy losses can be avoided, and wasting renewable energy and network congestion prevented.

RESULT AND DISCUSSION
The electric vehicle battery has been verified with the ability to inject power to the grid when necessary[1]. In this case, the electric vehicle is working in discharging mode.
1. Interaction between Distribution Grid and Charging Station
The structure of the proposed electric vehicle charging station is made up of a full-bridge inverter/rectifier and a DC-DC converter shown in Figure 3. The positive current direction is assumed to be from the grid to the inverter as shown in Figure 4. So is the positive power flow direction [10].
2. Control of Bidirectional Buck–Boost DC-DC Converter
By changing the duty cycle of the DC-DC converter, both the charging current and charging voltage can be controlled accordingly [3]. Figure 4 and 5 correspondingly show the boost and buck outputs.
3. Simulation Results
In order to estimate the interaction between the distributed energy generator with electric charging station in the proposed active distribution network,[7]. Case study is carried out in the chosen regional distribution network as shown in Fig. 6 Charging stations are installed for those electric vehicles based on owner’s fast-charging requirements.
Figure 8 show the voltage, current, and power profile measured at B1 in Case 1. At time 0.5s, three-phase ground fault was applied at B2, and fault was cleared 0.1s later, a distinctive voltage dip can be observed from Figure 7, where the fault is extremely severe such that the voltage falls below 0.15 p.u., which is below the limit specified in the grid code issued by the UK National Grid Company[8] . The voltage limit specified by the Grid Code, required number of vehicles and road power are shown in Figure 9.

CONCLUSION
The impact of V2G technologies on distributed systems, and requirements, benefits, challenges, and strategies for V2G interfaces of both individual PEVs and vehicle fleets were reviewed. Unidirectional V2G is a traditional and logical first step because it limits hardware requirements, simplifies interconnection issues, and tends to reduce battery degradation. A bidirectional V2G system supports charge from the grid, battery energy injection back to the grid, and power stabilization.In the future work,the life of battery should be extended to a long extend and fast charging is achieved. The simulation model for th electric vehicle battery and charging station is mainly developed for power grid transient analysis. Further models will be needed for long term simulations where the charging cycle and some other battery parameters should be considerate in the model. The simulation work was developed in Matlab/Simulink, future simulation work will need to migrate to some other advanced power system simulation software packages, with more rich DG simulation models and for large scale power grid simulations.

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References