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  • Format: ePub

This book addresses different algorithms and applications based on the theory of multiobjective goal attainment optimization. In detail the authors show as the optimal asset of the energy hubs network which (i) meets the loads, (ii) minimizes the energy costs and (iii) assures a robust and reliable operation of the multicarrier energy network can be formalized by a nonlinear constrained multiobjective optimization problem. Since these design objectives conflict with each other, the solution of such the optimal energy flow problem hasn t got a unique solution and a suitable trade off between…mehr

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Produktbeschreibung
This book addresses different algorithms and applications based on the theory of multiobjective goal attainment optimization. In detail the authors show as the optimal asset of the energy hubs network which (i) meets the loads, (ii) minimizes the energy costs and (iii) assures a robust and reliable operation of the multicarrier energy network can be formalized by a nonlinear constrained multiobjective optimization problem. Since these design objectives conflict with each other, the solution of such the optimal energy flow problem hasn t got a unique solution and a suitable trade off between the objectives should be identified. A further contribution of the book consists in presenting real-world applications and results of the proposed methodologies developed by the authors in three research projects recently completed and characterized by actual implementation under an overall budget of about 23 million .

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Autorenporträt
Massimo La Scala, Professor of Electrical Systems for Energy, DEI, Polytechnic of Bari. Sergio Bruno, Politechnic of Bari, Electrical Engineering. Carlo Alberto Nucci is full professor of Electrical Power Systems at the University of Bologna and the Editor in Chief of the Electric Power System Research Journal. Ugo Stecchi, Polytechnic of Bari.