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Improving power grid transient stability by plug-in electric vehicles

arXiv: http://arxiv.org/abs/1410.2176 , 1410.2176
handle: 2164/4248
Plug-in electric vehicles (PEVs) can serve in discharge mode as distributed energy and power resources operating as vehicle-to-grid (V2G) devices and in charge mode as loads or grid-to-vehicle (G2V) devices. It has been documented that PEVs serving as V2G systems can offer possible backup for renewable power sources, can provide reactive power support, active power regulation, load balancing, peak load shaving,% and current harmonic filtering, can provide ancillary services as frequency control and spinning reserves, can improve grid efficiency, stability, reliability, and generation dispatch, can reduce utility operating costs and can generate revenue. Here we show that PEVs can even improve power grid transient stability, that is, stability when the power grid is subjected to large disturbances, including bus faults, generator and branch tripping, and sudden large load changes. A control strategy that regulates the power output of a fleet of PEVs based on the speed of generator turbines is proposed and tested on the New England 10-unit 39-bus power system. By regulating the power output of the PEVs we show that (1) speed and voltage fluctuations resulting from large disturbances can be significantly reduced up to 5 times, and (2) the critical clearing time can be extended by 20-40%. Overall, the PEVs control strategy makes the power grid more robust.
15 pages, 4 figures, submitted to New Journal of Physics
- Potsdam-Institut für Klimafolgenforschung (Potsdam Institute for Climate Impact Research) Germany
- Saints Cyril and Methodius University of Skopje Former Yugoslav Republic of Macedonia
- Potsdam Institute for Climate Impact Res Germany
- Saints Cyril and Methodius University of Skopje Former Yugoslav Republic of Macedonia
- Potsdam-Institut für Klimafolgenforschung (Potsdam Institute for Climate Impact Research) Germany
Electric vehicles, Critical clearing time, Reactive power support, Vehicleto-Grid (V2G), Mathematics - Optimization and Control, QC, Physics, Q, Distributed energies, Vehicle to grids, 600, cs.SY, Nonlinear Sciences - Adaptation and Self-Organizing Systems, nlin.AO, Fleet operations, Electric discharges, Plug-in Electric Vehicles, Stability, Adaptation and Self-Organizing Systems (nlin.AO), transient stability, Science, QC1-999, FOS: Physical sciences, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, power systems, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, SDG 7 - Affordable and Clean Energy, vehicle-to-grid, math.OC, Electric power distribution, 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten, Standby power systems, Vehicles, Active power regulations, 540, Voltage fluctuations, 620, QC Physics, Optimization and Control (math.OC), Energy policy, Operating costs, ddc: ddc:550, ddc: ddc:620
Electric vehicles, Critical clearing time, Reactive power support, Vehicleto-Grid (V2G), Mathematics - Optimization and Control, QC, Physics, Q, Distributed energies, Vehicle to grids, 600, cs.SY, Nonlinear Sciences - Adaptation and Self-Organizing Systems, nlin.AO, Fleet operations, Electric discharges, Plug-in Electric Vehicles, Stability, Adaptation and Self-Organizing Systems (nlin.AO), transient stability, Science, QC1-999, FOS: Physical sciences, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, power systems, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, SDG 7 - Affordable and Clean Energy, vehicle-to-grid, math.OC, Electric power distribution, 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten, Standby power systems, Vehicles, Active power regulations, 540, Voltage fluctuations, 620, QC Physics, Optimization and Control (math.OC), Energy policy, Operating costs, ddc: ddc:550, ddc: ddc:620
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).30 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 68 download downloads 38 - 68views38downloads
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