A study on dynamic behavior of load supply system including synchronous generators with and without load drop

Yamashita, Koji; Sakamoto, Orie

doi:10.1109/pes.2010.5589816

Cited by 4 publications

(2 citation statements)

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“…Capacitor placement and sizing strategies have been extensively studied, with both heuristic guidelines [19]- [21] and optimization techniques [15], [22] widely used. The approach suggested in [19] was adopted to place capacitors, with the capacitors sized using an optimization formulation that minimizes line losses, (11) subject to (12) (13) where ( 12) is just the compact form (6) of the power-flow equations, with loads taking their predisturbance values. The voltage bounds may occasionally lead to infeasibility.…”

Section: A Predisturbance Conditionsmentioning

confidence: 99%

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Overvoltages due to Synchronous Tripping of Plug-in Electric-Vehicle Chargers Following Voltage Dips

Kundu

Hiskens

2014

IEEE Trans. Power Delivery

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Plug-in electric vehicle (PEV) charging equipment incorporates protection that ensures that grid disturbances do not damage the charger or vehicle. When the grid voltage sags below 80% of nominal, undervoltage protection is likely to disconnect the charging load from the grid. Most PEV charging will occur overnight, when non-PEV load is at a minimum. This paper argues that PEV voltage-sag response, when synchronized across large numbers of PEVs, could result in the loss of a significant proportion of the total load. It is shown that this load loss can lead to unacceptably high voltages once the initiating event has been cleared. This paper explores the nature of this voltage-rise phenomenon. Analysis tools are developed to assist in determining PEV loading conditions that demarcate acceptable postdisturbance voltage response from unacceptable outcomes. Two examples, based on standard distribution test systems, are used to illustrate PEV-induced overvoltage behavior, and demonstrate applications of the analysis tools.

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Section: A Predisturbance Conditionsmentioning

confidence: 99%

“…Reliable convergence was obtained using the optimization package CVX [23]. CVX solves convex optimization problems, but the objective function (11) and the power-flow equations (12) are nonconvex. Thus an iterative approach was adopted, whereby at each iteration, convex approximations of ( 11) and ( 12) were used.…”

Section: A Predisturbance Conditionsmentioning

confidence: 99%