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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