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Technical Indicators for the Comparison of Power Network Development in Scenario Evaluations

Author

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  • Maria Dicorato

    (Politecnico di Bari—Department of Electrical and Information Engineering, Via E. Orabona, 4, 70125 Bari, Italy)

  • Gioacchino Tricarico

    (Politecnico di Bari—Department of Electrical and Information Engineering, Via E. Orabona, 4, 70125 Bari, Italy)

  • Giuseppe Forte

    (Politecnico di Bari—Department of Electrical and Information Engineering, Via E. Orabona, 4, 70125 Bari, Italy)

  • Francesca Marasciuolo

    (Politecnico di Bari—Department of Electrical and Information Engineering, Via E. Orabona, 4, 70125 Bari, Italy)

Abstract

The problem of electric network expansion has different implications concerning the definition of criteria for the comparison of different candidate projects. Transmission expansion planning usually involves a set of economic and technical influences on market framework and on network operation over defined scenario evolutions, or even combining generation and transmission planning, although the application to real-sized networks usually implies cost-benefit analysis. In this paper, a methodology for performance analysis of a set of network development projects is proposed, including zonal market framework and load flow analysis, in order to individuate possible candidate projects and their influence on active power losses, admissible load increase and admissible renewable generation increase. Those merit indicators are compared among candidate projects by means of Analytic Hierarchy Process (AHP) method, aiming at determining the most promising solution under different weights of criteria. Moreover, the influence of network development investment cost on project selection is assessed by means of an extension of AHP. The procedure is applied to yearly operation of NREL-118 test system.

Suggested Citation

  • Maria Dicorato & Gioacchino Tricarico & Giuseppe Forte & Francesca Marasciuolo, 2021. "Technical Indicators for the Comparison of Power Network Development in Scenario Evaluations," Energies, MDPI, vol. 14(14), pages 1-25, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4179-:d:592111
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    References listed on IDEAS

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    3. La Fata, Alice & Brignone, Massimo & Procopio, Renato & Bracco, Stefano & Delfino, Federico & Barilli, Riccardo & Ravasi, Martina & Zanellini, Fabio, 2022. "An efficient Energy Management System for long term planning and real time scheduling of flexible polygeneration systems," Renewable Energy, Elsevier, vol. 200(C), pages 1180-1201.

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