Synergistic control of plug-in vehicle charging and wind power scheduling

Li, Chiao-Ting; Ahn, Changsun; Peng, Huei; Sun, Jing

doi:10.1109/tpwrs.2012.2211900

Cited by 87 publications

(51 citation statements)

References 34 publications

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“…Effective integrations of EVs into the grid are able to improve the power system ancillary services such as demand-side management [4], distribution network planning [5][6], wide area stability enhancement [7], and alleviation of frequency fluctuation [2,[8][9][10][11][12][13][14]. The power charging control of EVs in order to alleviate the frequency fluctuation has been proposed in [2]. In addition, the bidirectional power controls or vehicle to grid (V2G) of EV for alleviation of frequency deviation in the interconnected power system with wind farms have been proposed in [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Control of Frequency Fluctuation and Battery SOC in a Smart Grid using LFC and EV Controllers based on Optimal MIMO-MPC

Pahasa¹,

Ngamroo²

2017

Journal of Electrical Engineering and Technology

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-This paper proposes a simultaneous control of frequency deviation and electric vehicles (EVs) battery state of charge (SOC) using load frequency control (LFC) and EV controllers. In order to provide both frequency stabilization and SOC schedule near optimal performance within the whole operating regions, a multiple-input multiple-output model predictive control (MIMO-MPC) is employed for the coordination of LFC and EV controllers. The MIMO-MPC is an effective modelbased prediction which calculates future control signals by an optimization of quadratic programming based on the plant model, past manipulate, measured disturbance, and control signals. By optimizing the input and output weights of the MIMO-MPC using particle swarm optimization (PSO), the optimal MIMO-MPC for simultaneous control of the LFC and EVs, is able to stabilize the frequency fluctuation and maintain the desired battery SOC at the certain time, effectively. Simulation study in a two-area interconnected power system with wind farms shows the effectiveness of the proposed MIMO-MPC over the proportional integral (PI) controller and the decentralized vehicle to grid control (DVC) controller.

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Section: Introductionmentioning

confidence: 99%

Simultaneous Control of Frequency Fluctuation and Battery SOC in a Smart Grid using LFC and EV Controllers based on Optimal MIMO-MPC

Pahasa¹,

Ngamroo²

2017

Journal of Electrical Engineering and Technology

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“…EVs and wind power have capability to help reduce the emissions and depletion of fossil fuel. Despite the benefits, integration of EVs and wind generators (WGs) in the power network also causes adverse impacts because of the increased load from EV charging and intermittency of wind power [1,2]. The placement and number of EV loads and WGs impact the voltage profile in the distribution network.…”

Section: Introductionmentioning

confidence: 99%

Harmonic Distortion Minimization in Power Grids with Wind and Electric Vehicles

Misra¹,

Paudyal²,

Ceylan³

et al. 2017

Energies

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Power-electronic interfacing based devices such as wind generators (WGs) and electrical vehicles (EVs) cause harmonic distortions on the power grid. Higher penetration and uncoordinated operation of WGs and EVs can lead to voltage and current harmonic distortions, which may exceed IEEE limits. It is interesting to note that WGs and EVs have some common harmonic profiles. Therefore, when EVs are connected to the grid, the harmonic pollution EVs impart onto the grid can be reduced to some extent by the amount of wind power injecting into the grid and vice versa. In this context, this work studies the impact of EVs on harmonic distortions and careful utilization of wind power to minimize the distortions in distribution feeders. For this, a harmonic unbalanced distribution feeder model is developed in OpenDSS and interfaced with Genetic Algorithm (GA) based optimization algorithm in MATLAB to solve optimal harmonic power flow (OHPF) problems. The developed OHPF model is first used to study impact of EV penetration on current/voltage total harmonic distortions (THDs) in distribution grids. Next, dispatch of WGs are found at different locations on the distribution grid to demonstrate reduction in the current/voltage THDs when EVs are charging.

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“…At this rate, the number of EVs is set to increase considerably. This large-scale penetration of EVs will challenge the power system as an additional load due to the substantial need for battery charging, but it could help to increase the penetration of intermittent renewable energy sources by absorbing the extra electricity generated from these sources and then feeding it into the grid when needed [7,8]. By applying an optimal coordinated dispatch strategy of EVs with V2G operation and RGs, those issues that they might cause can be addressed.…”

Section: Introductionmentioning

confidence: 99%

Optimal coordination of vehicle-to-grid batteries and renewable generators in a distribution system

Wang

Sharkh

Chipperfield

2016

Energy

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The increasing penetration of electric vehicles (EVs) and renewable generators (RGs) in the power grid is an inevitable trend to combat air pollution and reduce the usage of fossil fuels. This will challenge distribution networks, which have constrained capacity. However, appropriate dispatch of electric vehicles via vehicle-to-grid (V2G) operation in coordination with the distributed renewable generators can provide support for the grid, reduce the reliance on traditional fossil-fuel generators and benefit EV users. This paper develops a novel agent-based coordinated dispatch strategy for EVs and distributed renewable generators, taking into account both grid's and EV users' concerns and priorities. This optimal dispatch problem is formulated as a distributed multi-objective constraint optimisation problem utilizing the Analytic Hierarchy Process and is solved using a dynamic-programming-based algorithm. The proposed strategy is tested on a modified UK Generic Distribution System (UKGDS). The electricity network model is simplified using a virtual sub-node concept to alleviate the computation burden of a node's agent. Simulation results demonstrate the feasibility and stability of this dispatch strategy.

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Synergistic control of plug-in vehicle charging and wind power scheduling

Cited by 87 publications

References 34 publications

Simultaneous Control of Frequency Fluctuation and Battery SOC in a Smart Grid using LFC and EV Controllers based on Optimal MIMO-MPC

Simultaneous Control of Frequency Fluctuation and Battery SOC in a Smart Grid using LFC and EV Controllers based on Optimal MIMO-MPC

Harmonic Distortion Minimization in Power Grids with Wind and Electric Vehicles

Optimal coordination of vehicle-to-grid batteries and renewable generators in a distribution system

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