- Power System Optimization and Stability
- Optimal Power Flow Distribution
- Power Systems Fault Detection
- Power System Reliability and Maintenance
- Real-time simulation and control systems
- Electric Power System Optimization
- Smart Grid Security and Resilience
- HVDC Systems and Fault Protection
- Microgrid Control and Optimization
- Smart Grid Energy Management
- Advanced Electrical Measurement Techniques
- Magnetic confinement fusion research
- Sparse and Compressive Sensing Techniques
- Lightning and Electromagnetic Phenomena
- Wind Turbine Control Systems
- Modeling and Simulation Systems
- Simulation Techniques and Applications
- Model Reduction and Neural Networks
- Sensorless Control of Electric Motors
- Frequency Control in Power Systems
- Numerical methods for differential equations
- Magnetic Properties and Applications
- Fault Detection and Control Systems
- Electric Motor Design and Analysis
- Greenhouse Technology and Climate Control
Boston Public Schools
2022-2023
United States Department of Energy
2023
Solar Energy Technologies Office
2023
New York State Energy Research and Development Authority
2011-2021
Electric Power Research Institute
2021
White Plains Hospital
2011-2017
Kunming University of Science and Technology
2014
Georgia Institute of Technology
2004-2010
Institute of Electrical and Electronics Engineers
2007
This paper presents a new framework of recovering missing synchrophasor measurements (erasures). Leveraging the approximate low-rank property phasor measurement unit (PMU) data, we connect problem PMU data erasures with recent advances in matrix completion methods. Since existing analysis for methods assumes an independent-erasure model that does not capture correlations erasures, propose two models to characterize temporal and channel provide theoretical guarantees method correlated both...
Validation and data quality improvement of phasor through state estimation is the first step in ensuring that synchrophasor useful for applications monitoring, visualization, control. This paper presents a phasor-measurement-based estimator (PSE) improving consistency by identifying angle biases current scaling errors using augmented vector approach. These can arise from issues with Global Positioning Signal (GPS), timing circuits, instrument channels, and/or channel scaling. The PSE...
This paper provides a methodology to extract the dynamic real time model of an electric power system using phasor measurement unit (PMU) data (GPS-synchronized) and other SCADA that are available in substations. In addition typical voltage current measurements, PMU include frequency rate change frequency. Such raw form, as time-stamped instantaneous values, or, case voltages currents, computed at fundamental A state estimator is conceptually presented filters all transient swings time. means...
This paper presents a new framework of identifying series cyber data attacks on power system synchrophasor measurements. We focus detecting "unobservable" that cannot be detected by any existing method purely relies measurements received at one time instant. Leveraging the approximate low-rank property phasor measurement unit (PMU) data, we formulate identification problem successive unobservable as matrix decomposition plus transformed column-sparse matrix. propose convex-optimization-based...
This paper applies a phasor-only state estimator (PSE) to large power system consisting of two control regions, using synchrophasor data from 56 765/345/230 kV substations. Although the technique has been previously developed, this describes topology processor determine redundant clusters connected buses such that PSE can be used in real time. allows corrections for phase biases, transformer taps, and current magnitude scaling. The ability simultaneously solve regions is due PMU monitoring...
The real-time models of offshore wind turbine generators complied with industry standards are presented in this paper. developed provide essential capabilities for future electromagnetic transient controls and testing farms, such as low-voltage ride-through, active/reactive power support, current limiting. Furthermore, the proposed an additional capability controlling negative sequence current, which meets requirements protecting farm systems. This paper presents average-value detailed...
This paper addresses the impact of load dynamics, and in particular induction motor loads, on voltage recovery after disturbances. The proposes a methodology that is based flow techniques with advanced modeling capabilities, augmented by simplified dynamic model. objective to realistically capture characteristics phenomena, avoiding, however, full scale transient simulation. approach uses quadratized power model explicit representation. describes overall for evaluating dynamics recovery....
The paper discusses the impacts of advanced closed loop control through multi-functional multi-band power system stabilizers on dynamic performance New York State grid. Reference signal modulation certain devices in has been shown to improve damping and affect frequency response during generator outage scenarios. methodology behind development models subsequent tuning controllers is discussed. Results demonstrate how feedback various equipment, including those that are...
This paper describes the development and implementation of contingency ranking selection algorithms, as part a power system security assessment program. The work concentrates on performance-index-based algorithms uses control variable for precise representation. is based value sensitivity performance index with respect to each outage. computation sensitivities performed using very efficient co-state method. Furthermore an approach improving accuracy methods introduced. state rather than...
This paper proposes a comprehensive approach for bulk power system reliability assessment. Specifically, framework of security-constrained adequacy evaluation (SCAE) based on analytical techniques is developed to assess the ability supply electric load while satisfying security constraints. encompasses three main steps: (a) critical contingency selection, (b) effects analysis, and (c) index computation. Based an advanced single-phase quadratized flow, state linearization improve selection...
This paper provides a methodology to characterize the accuracy of PMU data (GPS-synchronized) and applicability this for monitoring system stability via visualization methods. GPS-synchronized equipment (PMUs) is in general higher precision as compared typical SCADA systems. Conceptually, are time tagged with better than 1 microsecond magnitude that 0.1%. potential performance not achieved an actual field installation due errors from instrumentation channels imbalances. Presently, substation...
This paper presents a suite of two distributed dynamic state estimators (QSE and DSE) that are performed at the substation level. The algorithm uses local GPS-synchronized conventional non-synchronized measurements in interest for estimating states as well other ends transmission lines adjacent substations. estimation provides true (transient) system. As such it basic infrastructure highly accurate real time monitoring control speeds not presently available. Numerical experiments on NYPA...
Utilities today are facing unprecedented challenges due to more stringent regulations, environmental concerns, and a growing demand for reliable electricity. Meanwhile, according U.S. Department of Energy?s statistics, 70% the grid's transmission lines power transformers than 25 years old. Without upgrades enhancements, grid will continue age, increasing risk service interruptions limiting integration renewable resources. It also be severely challenged by intermittency supply uncertainty in load.
Relatively poor performance of state estimators is a well documented experience. Yet, control and operation electric power system requires reliable estimators. The attributed to implementation simplifications that use single phase asynchronous measurements the positive sequence model system. These have generated practical problems. experience estimation problem does not 100% performance, i.e. there are cases time periods SE algorithm will converge. There theoretical reasons for this they...
The control and operation of an electric power system is based on the ability to determine state in real time. State estimation (SE) has been introduced 1960s achieve this objective. initial implementation was single-phase measurements a model that assumed operate under single-frequency, balanced conditions, symmetric model. These assumptions are still prevalent today. balanced, have simplified but generated practical problems. experience SE problem does not 100% performance; is, there cases...
Symbolic computational approaches are desirable for many applications and especially large complex nonlinear systems. These work well when (a) the user interface is "symbolized" (b) underlying algorithms robust. This paper presents advances in both of these areas specific application numerical integration We present a method symbolically defining The methodology includes human symbolic manipulations system model. model quadratized. quadratized integrated with that belongs to general class...
Speed governors are key elements in the dynamic performance of electric power systems. Therefore, accurate governor models great importance simulating and investigating system transient phenomena. Model parameters such devices are, however, usually unavailable or inaccurate, especially when old generators involved. Most methods for speed parameter estimation based on measurements frequency active variations during operation. This paper proposes a genetic algorithm optimization technique...
The paper presents a comparative study among several state estimation formulations, in the presence of GPS-synchronized phasor measurements. presented approach is based on hybrid formulation, which uses both traditional SCADA measurements as well Three different formulations are that use: (a) Cartesian representation and measurements, (b) with addition pseudomeasurements, (c) polar A physically-based three-phase model power system utilized. three compared terms error confidence level...
This paper presents the nonlinear, time-domain model of a saturable-core inductor. The is capable accommodating high-order nonlinearities by representing current-flux characteristic inductor an analytical (closed form) polynomial function high degree. An automated procedure developed to transform highly nonlinear fully-equivalent quadratic model, without introducing any approximations. Subsequently, using equivalent algebraic companion form based on trapezoidal and integration rules....
This paper presents a new framework of identifying cyber data attacks on synchrophasor measurements. We focus detecting "unobservable" that cannot be detected by any existing detection method purely relies measurements received at one time instant. Leveraging the approximate low-rank property phasor measurement unit (PMU) data, we formulate unobservable attack identification problem as matrix decomposition where observed is sum plus linear projection column-sparse matrix. propose...
Legacy Protection and Control (P&C) Systems are vulnerable to misoperations due a variety of reasons: miscoordination, complexity, human error, hidden failures. Adding these, the characteristics power system changing addition inverter-interfaced generation. Inverters have different than synchronous machines when responding faults or disturbances, logic commonly applied P&C systems may fail operate as expected. Some recent relay been attributed resources.
This paper elaborates on a newly introduced approach for time-domain transient simulation of electric power systems with highly nonlinear and/or switching subsystems. The new methodology is based numerical integration scheme that assumes the system model states vary quadratically within time step (quadratic integration). proposed method an implicit which demonstrates improved characteristics and most importantly solution precision. also superior behavior compared to traditionally used...