"Final report for research project sponsored by Northeast Utilities Service Company, Public Service Electric and Gas Company, Yankee Atomic Electric Company under the M.I.T. Energy Laboratory Electric Utility Program."

Dissertation (PhD)--University of Stellenbosch, 2008. / Bibliography. Also available via the Internet.

The installation of the combined energy generation system at West Beacon Farm, Loughborough, Leicestershire commenced in 1988, since when it has steadily grown in both generating capacity and operating complexity. It now consists of three electrical generating sources: two 25kW fixed speed horizontal axis wind turbines, a 6kWp photovoltaic array consisting of both monocrystalline and polycrystalline cells and a 15kW combined heat and power unit which also provides 38kW of thermal energy. Electricity is stored in a 184kWh lead acid battery, and also imported and exported from the grid. Previous research on the system was limited, due to lack of detailed system information and time. Therefore the aim of this research project has been to develop a more detailed and accurate computer model of the system that enables the present operating strategy to be evaluated, together with the effects on the system of changing this strategy. The outcome will be to optimize the generating cost and to provide a model with the flexibility to investigate the conditions in other hybrid systems.

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An investigation has been undertaken to ascertain how readily a power system lends itself to statistical modelling. A nonlinear state variable model has been derived in terms of measurable states. This model is linear in its coefficients which are evaluated by the least squares fitting technique of regression analysis. The statistical model's performance is evaluated by comparison of its predicted system responses with those predicted by Park's formulation, and with those produced by a laboratory power system model. / Applied Science, Faculty of / Electrical and Computer Engineering, Department of / Graduate

This thesis presents an example of the use of dynamic programming for optimizing the hydraulic operation of a complex two reservoir hydroelectric system in order to provide maximum firm power output. Records of natural inflows are used over a winter drawdown period for study purposes and flow forecast procedures are discussed. The system, owned by the Aluminum Company of Canada Ltd. (ALCAN), Arvida, P.Q., is described, including its operations and restrictions. Also described are the procedures used and the assumptions made for a daily simulation computer program which is used by ALCAN and was made available for purposes of this study. A description of dynamic programming including definitions of the normally used terms "objective function, "stages" and "states" is given and is followed by a discussion of the limitations of the ALCAN program for direct use in the dynamic programming algorithm. A new simplified simulation routine that cuts computer costs drastically yet gives reasonable results is described. Assumptions of the new routine are stated and its operation is described. The dynamic programming computer routine is explained, followed by a short description of the implications of system restrictions on the routine. Comparisons between ALCAN simulation output and the dynamic programming routine output are made and the method of obtaining maximum firm power is indicated. Tests are made to determine the sensitivity of the "state" increment to computer costs and program accuracy. For operational purposes, the dynamic programming routine can be used to determine optimal reservoir drawdown rule curves which can be then fed into the ALCAN simulation for daily operational purposes. / Applied Science, Faculty of / Civil Engineering, Department of / Graduate

No description available.

No description available.

Originally presented as a thesis (M.S.), M.I.T., Dept. of Civil Engineering, 1978, by Kenneth F. Najjar. / "COO-4114-8". Statement of responsibility on title page reads: Kenneth F. Najjar, John J. Shaw, E. Eric Adams, Gerhard H. Jirka and Donald R.F. Harleman. "January 1979." Bibliography: p. 182-187.