Power systems computations
W Mielczarski, E Khan
6 points * 39 hours of lectures and practical work * Irregular availability * Clayton
Objectives The student is expected to acquire a basic knowledge and understanding of optimisation in electrical systems and nonlinear programming, in particular dynamic programming. The student is also expected to undertake a given case study to acquire skills in implementation of theoretical knowledge to solve practical problems.
Synopsis Optimisation; formulation of objective functions; constraints; penalty functions; nonlinear programming; dynamic programming - optimal allocation processes; probabilistic optimisation; Monte Carlo simulation; optimising electrical systems.
Assessment Examination (1 hour): 30% * Case study: 70%
Prescribed texts
Arrilaga J and Arnold C P Computer analysis of power systems Wiley, 1990
Greenwood A Electrical transients in power systems 2nd edn, Wiley, 1991
Wood A J and Wollenberg B F Power generation, operation and control Wiley, 1984
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