Scheduling of Power Generation, Softcover reprint of the original 1st ed. 2014 A Large-Scale Mixed-Variable Model Springer Series in Operations Research and Financial Engineering Series

The book contains description of a real life application of modern mathematical optimization tools in an important problem solution for power networks. The objective is the modelling and calculation of optimal daily scheduling of power generation, by thermal power plants,  to satisfy all demands at minimum cost, in such a way that the  generation and transmission capacities as well as the demands at the nodes of the system appear in an integrated form. The physical parameters of the network are also taken into account. The obtained large-scale mixed variable problem is relaxed in a smart, practical way, to allow for fast numerical solution of the problem.

Prof. András Prékopa is a Professor at Rutgers University in the Department of Statistics.

Prof. János Mayer is a Professor at University of Zurich in the Department of Business Adminstration.

Prof. Beáta Strazicky is currently retired but was a Professor at Szent István University.

Prof. István Deák is a Professor at Corvinus University of Budapest in the Department of Computer Science.

János Hoffer works at Allianz Hungária Insurance Company in the IT Quality Assurance Section.

Ágoston Némethworks in Ex-Lh Ltd.

Béla Potecz is retired but previously worked for MAVIR Hungarian Independent Transmission Operator Company Ltd.

Combines insights from power systems engineering and operations research, both for building the model and for the development of a solution algorithm

Accessible to readers from both fields, as well as for graduate students

Includes short–term power generation scheduling, having the goal of operating the existing generating and electric apparatus as a whole at an optimal level