Implementation of Vehicle to Grid Infrastructure Using Fuzzy Logic Controller

Singh, Mukesh; Kumar, Praveen; Kar, Indrani

doi:10.1109/tsg.2011.2172697

Cited by 191 publications

(111 citation statements)

References 12 publications

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“…Usually, an FLC controller is composed of three main components: a fuzzification unit, a base rule unit, and a defuzzification unit. More details of those combinations can be found in [6]. The charge and discharge rates are controlled by using FLC.…”

Section: Proposed Fuzzy Pi Controllermentioning

confidence: 99%

“…The integration of EVs is important to support a resilient grid and to overcome extreme events and fault conditions. For the flexible operation of distribution systems under uncertain and changing conditions, EV integration is considered a potential solution for improving resiliency in distribution systems [6][7][8][9]. EVs with onboard batteries are qualified for supporting the electricity grid by absorbing the excessive amount of electrical energy and returning the power back to the grid when necessary.…”

Section: Introductionmentioning

confidence: 99%

“…EVs control scheme controls the power flow based on certain preset limits of the DC bus voltage. The energy flow control between the utility grid and EVs has been made mainly for voltage support and peak reduction [6]. The fuzzy control techniques are in popular use due to the linguistic representation of rules without needing to develop a system mathematical model.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Electric Vehicle to Power Grid Integration Using Three-Phase Three-Level AC/DC Converter and PI-Fuzzy Controller

Sayed

Gabbar

2016

Energies

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This paper presents the control and simulation of an electric vehicle (EV) charging station using a three-level converter on the grid-side as well as on the EV-side. The charging station control schemes with three-level AC/DC power conversion and a bidirectional DC/DC charging regulator are described. The integration of EVs to the power grid provides an improvement of the grid reliability and stability. EVs are considered an asset to the smart grid to optimize effective performance economically and environmentally under various operation conditions, and more significantly to sustain the resiliency of the grid in the case of emergency conditions and disturbance events. The three-level grid side converter (GSC) can participate in the reactive power support or grid voltage control at the grid interfacing point or the common coupling point (PCC). A fuzzy logic proportional integral (FL-PI) controller is proposed to control the GSC converter. The controllers used are verified and tested by simulation to evaluate their performance using MATLAB/SIMULINK. The comparison of a PI-controller and a PI-Fuzzy controller for the EV charging station shows the effectiveness of the proposed FL-PI controller over conventional PI controller for same circuit operating conditions. A good performance for PI-Fuzzy in terms of settling time and peak overshoot can observed from the simulation results.

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Section: Proposed Fuzzy Pi Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Electric Vehicle to Power Grid Integration Using Three-Phase Three-Level AC/DC Converter and PI-Fuzzy Controller

Sayed

Gabbar

2016

Energies

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“…The distributed coordinated charging technology mainly uses fuzzy mathematics theory [4,5] and sensitivity analysis [6]. The centralized coordinated charging technology…”

Section: Introductionmentioning

confidence: 99%

Smart Charging of EVs in Residential Distribution Systems Using the Extended Iterative Method

et al. 2016

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Smart charging of electrical vehicles (EVs) is critical to provide the secure and cost-effective operation for distribution systems. Three model objective functions which are minimization of total supplied power, energy costs and maximization of profits are formulated. The conventional household load is modeled as a ZIP load that consists of constant power, constant current and constant impedance components. The imbalance of distribution system, constraints on nodal voltages and thermal loadings of lines and transformers are all taken into account. Utilizing the radial operation structure of distribution system, an extended iterative method is proposed to greatly reduce the dimensions of optimization variables and thus improve calculation speed. Impacts of the conventional household load model on the simulation results are also investigated. Case studies on three distribution systems with 2, 14, and 141 buses are performed and analyzed. It is found that the linear constrained convex quadratic programming model is applicable at each iteration, when the conventional household load is composed of constant power and constant impedance load. However, it is not applicable when the conventional household load consists of constant current load. The accuracy and computational efficiency of the proposed method are also validated.

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“…However, since the PI controller with fixed gains has been designed at nominal operating conditions, it could not provide good control performance over a wide range of operating conditions. In [16], a typical city distribution system was modeled to demonstrate V2G capabilities for frequency regulation and voltage sag reduction using a FUZZY logic controller. However, it can only demonstrated good dynamics when some specific membership functions were selected, whose application can be limited in reality.…”

mentioning

confidence: 99%

Load Frequency Control in Isolated Micro-Grids with Electrical Vehicles Based on Multivariable Generalized Predictive Theory

et al. 2015

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Abstract:In power systems, although the inertia energy in power sources can partly cover power unbalances caused by load disturbance or renewable energy fluctuation, it is still hard to maintain the frequency deviation within acceptable ranges. However, with the vehicle-to-grid (V2G) technique, electric vehicles (EVs) can act as mobile energy storage units, which could be a solution for load frequency control (LFC) in an isolated grid. In this paper, a LFC model of an isolated micro-grid with EVs, distributed generations and their constraints is developed. In addition, a controller based on multivariable generalized predictive control (MGPC) theory is proposed for LFC in the isolated micro-grid, where EVs and diesel generator (DG) are coordinated to achieve a satisfied performance on load frequency. A benchmark isolated micro-grid with EVs, DG, and wind farm is modeled in the Matlab/Simulink environment to demonstrate the effectiveness of the proposed method. Simulation results demonstrate that with MGPC, the energy stored in EVs can be managed intelligently according to LFC requirement. This improves the system frequency stability with complex operation situations including the random renewable energy resource and the continuous load disturbances. OPEN ACCESS

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Implementation of Vehicle to Grid Infrastructure Using Fuzzy Logic Controller

Cited by 191 publications

References 12 publications

Electric Vehicle to Power Grid Integration Using Three-Phase Three-Level AC/DC Converter and PI-Fuzzy Controller

Electric Vehicle to Power Grid Integration Using Three-Phase Three-Level AC/DC Converter and PI-Fuzzy Controller

Smart Charging of EVs in Residential Distribution Systems Using the Extended Iterative Method

Load Frequency Control in Isolated Micro-Grids with Electrical Vehicles Based on Multivariable Generalized Predictive Theory

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