Christopher Pottle

Systolic Array Computation Of The Singular Value Decomposition

Linear time computation of the singular value decomposition (SVD) would be useful in many real time signal processing applications. Two algorithms for the SVD have been developed for implementation on a quadratic array of processors. A specific architecture is proposed and we demonstrate the mapping of the algorithms to the architecture. The algorithms and architecture together have been verified by functional level and register transfer level simulation.

An extensible real-time digital transient network analyzer

The development of a completely digital power system multiprocessor transient network analyzer (TNA) is reported. Generators, loads, transformers and power lines are represented by simple linear electrical equivalents. Results are reported for both single-phase and three-phase networks. Electromagnetic transient phenomena can be modeled with available digital technology to a detail of about 100 mu s, corresponding to frequencies below about 5 kHz. >

Operational characteristics of a large wind-farm utility system with a controllable AC/DC/AC interface

The design and operational issues associated with the interconnection of windfarms using a controllable AC/DC/AC series-connected interface are explored. The study considers steady-state operation and transient effects for both the power network and the wind system. The performance of rectifiers and converters is discussed, and computer simulation results are shown. Overvoltages created within the inverter stations and protection against short circuits are discussed. >

A model-referenced controller for stabilizing large transient swings in power systems

This short paper deals with a control strategy which is considered reasonable for on-line stabilization of the large transient swings that occur in power systems following a major system disturbance. The strategy is compared to other similar strategies both in terms of philosophy and physical application. The example shows the benefit of on-line coordinated application of a dynamic brake and network switching to the transient stability problem when control decisions are implemented using a proper coordinating control strategy.

The Cornell University Kettering Energy Systems Laboratory

The new Kettering Energy-Systems Laboratory at Cornell University is described and its functions as a unique electric-power research tool and as an important power-field educational adjunct are discussed. The individual laboratory components and their functions are discussed. These components include both software and real-time hardware simulation tools. Use of the Laboratory in current educational activities is outlined. Possibilities for future development of the facility are examined.

The digital adaptive control of a linear process modulated by random noise

A procedure for the design of a digital controller to compensate a certain class of linear time-varying processes is presented. The process time variation may be rapid compared to the input signals and is assumed to be caused by modulation of a plant with known parameters by a number of correlated random disturbances. Correlated additive noise may also be present. Plant identification is performed using state variable estimation techniques, while correlation of the random disturbances allows future plant behavior to be predicted. The adaptive controller is designed to optimize the predicted plant behavior over the near future, with controller redesign taking place as new information becomes available from the estimator. Test signals are not required if the plant statistics are known.

The computer as a laboratory instrument: Experiments for a third-year laboratory in Electrical Engineering☆

Abstract This paper describes a series of three experiments developed for the Junior laboratory course required of all Cornell Electrical Engineering undergraduates. These experiments are designed to illustrate the use of small computers as laboratory equipment directly interfaced with electronic experiments.

An Evaluation of Present and Future Computer Technology for Large Scale Power System Simulation

Abstract A true technological explosion has taken place in the computer hardware industry in the last few years. Words such as parallel processing, vector processors, array processors, pipelined machines, “number crunching”, and megaflops ( M illions of FL oating-point OP erations per S econd) are heard regularly. Computer manufacturers have responded to the needs of specific groups requiring, above all else, high speed arithmetic capability. The result is a host of new machines which are called in this paper “vector processors”. This paper will assess the applicability of vector processors to power flow and transient stability simulation programs and will indicate how these programs should be organized to run efficiently on these new machines. The approach taken will be to survey the entire class of vector processors available now and in the near future, to attempt to raise the reported low efficiency of sparsity-coded programs for large vector processors by reorganizing their sparse structure.