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Morse S.,Vermont Energy | Malmgren I.,Vermont Energy | Letendre S.E.,Green Mountain College | Ruder A.,New York State Energy Research and Development Authority NYSERDA
EVS 2016 - 29th International Electric Vehicle Symposium | Year: 2016

A shift from fossil fuels to electricity for transportation energy will pose challenges for utility providers while also presenting opportunities for economic, grid reliability, and environmental benefits. Strategic integration of electric vehicles (EVs) with the grid would more fully realize the benefits that EVs offer and potentially make EV ownership more affordable through the provision of reliability and resilience services to the grid. The New York State roadmap presented here was informed by a preliminary research report, gap analysis, and stakeholder feedback; it identifies the current state of grid-interactive vehicles, examines how to overcome existing barriers, and presents a strategic plan for EV grid-integration.

Ghiocel S.G.,Rensselaer Polytechnic Institute | Chow J.H.,Rensselaer Polytechnic Institute | Bertagnolli D.B.,ISO New England | Razanousky M.,New York State Energy Research and Development Authority NYSERDA | And 5 more authors.
Proceedings - 2014 Power Systems Computation Conference, PSCC 2014 | Year: 2014

For complex power transfer interfaces or load areas with multiple in-feeds, we present a method for phasor-measurement-based calculation of voltage stability margins. In the case of complex transfer paths with multiple injections, a radial system approach may not be sufficient for voltage stability analysis. Our approach provides voltage stability margins considering the full fidelity of the transfer paths. In this paper, we extend a previously proposed phasor-measurement-based approach [1] and apply it to a voltage stability-limited power transfer interface using synchronized phasor measurements from loss-of-generation disturbance events. Previous work employed a simple radial system [2] or modeled a power transfer interface using only one generator [1]. In our approach, we use the PMU data to model multiple external injections that share the power transfer increase, and we employ a modified AQ-bus power flow method to compute the steady-state voltage stability margins [3]. We demonstrate the method using real PMU data from disturbance events in the US Eastern Interconnection. © 2014 Power Systems Computation Conference.

Wang M.,Rensselaer Polytechnic Institute | Chow J.H.,Rensselaer Polytechnic Institute | Gao P.,Rensselaer Polytechnic Institute | Jiang X.T.,Rensselaer Polytechnic Institute | And 9 more authors.
Proceedings of the Annual Hawaii International Conference on System Sciences | Year: 2015

With the installation of many new multi-channel phasor measurement units (PMUs), utilities and power grid operators are collecting an unprecedented amount of high-sampling rate bus frequency, bus voltage phasor, and line current phasor data with accurate time stamps. The data owners are interested in efficient algorithms to process and extract as much information as possible from such data for real-time and off-line analysis. Traditional data analysis typically analyze one channel of PMU data at a time, and then combine the results from the individual analysis to arrive at some conclusions. In this paper, a spatial-temporal framework for efficient processing of blocks of PMU data is proposed. A key property of these PMU data matrices is that they are low rank. Using this property, various data management issues such as data compression, missing data recovery, data substitution detection, and disturbance triggering and location can be processing using singular-value based algorithms and convex programming. These functions are illustrated using some historical data from the Central New York power system. © 2015 IEEE.

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