This paper presents an innovative proposal for the selection of electrical loads in intelligent networks when main power sources are limited or totally absent (in the following: in emergency conditions). The control strategy is based on the mathematical approach of the basis 0–1 Knapsack Problem. Results from three different algorithms are compared: Tabu Search, Greedy heuristic and dynamic programming. To verify correctness and accuracy in the solutions, a MatLab software have been developed. To evaluate the achieved results, a case study is shown in a true-life environment.

Electrical loads management in energy emergency conditions / Lamedica, Regina; Santini, Ezio; Teodori, Sabrina. - In: INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS. - ISSN 0142-0615. - STAMPA. - 11/2014:(2014), pp. 86-96. [10.1016/j.ijepes.2014.10.038]

Electrical loads management in energy emergency conditions

LAMEDICA, Regina;SANTINI, Ezio;TEODORI, SABRINA
2014

Abstract

This paper presents an innovative proposal for the selection of electrical loads in intelligent networks when main power sources are limited or totally absent (in the following: in emergency conditions). The control strategy is based on the mathematical approach of the basis 0–1 Knapsack Problem. Results from three different algorithms are compared: Tabu Search, Greedy heuristic and dynamic programming. To verify correctness and accuracy in the solutions, a MatLab software have been developed. To evaluate the achieved results, a case study is shown in a true-life environment.
2014
Electric loads selection; Emergency scenario; Knapsack problem; Electric loads management software
01 Pubblicazione su rivista::01a Articolo in rivista
Electrical loads management in energy emergency conditions / Lamedica, Regina; Santini, Ezio; Teodori, Sabrina. - In: INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS. - ISSN 0142-0615. - STAMPA. - 11/2014:(2014), pp. 86-96. [10.1016/j.ijepes.2014.10.038]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/762741
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