The report details a study that, within the Italian participation in Annex 3 \u2018Cost-benefits\u2019 of the IEA-ISGAN initiative, led to identify \u2018minimization of maximum regret\u2019, an optimisation approach applied to the Decision Theory principle, as the most suitable to improve the effectiveness and usability of the automated SW \u2018smartgrideval\u2019 tool for the Multi-Criteria Cost-Benefit Analysis of smart grid projects on cloud platforms.<\/p>\n","protected":false},"author":464,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[652,1315],"targets":[1317],"rapporti_tipologie":[762],"class_list":["post-195504","rapporti","type-rapporti","status-publish","hentry","tag-active-networks","tag-smart-grids-en","targets-research","rapporti_tipologie-report-en"],"acf":{"dont_show_hompage":true,"projects":{"ID":191050,"post_author":"464","post_date":"2024-07-10 16:51:19","post_date_gmt":"2024-07-10 14:51:19","post_content":"","post_title":"Architecture and management models of the electrical system and grids","post_excerpt":"The project aims to develop methodologies, software tools, prototypes and demonstrators to optimise electric transmission and distribution grids, as well as new architecture and system management models and new regulatory schemes that encourage the integration of renewable and non-programmable generation, self-generation, storage systems and aggregators, and that take into account electric penetration.","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"architecture-and-management-models-of-the-electrical-system-and-grids","to_ping":"","pinged":"","post_modified":"2024-08-21 12:10:45","post_modified_gmt":"2024-08-21 10:10:45","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/architecture-and-management-models-of-the-electrical-system-and-grids\/","menu_order":0,"post_type":"progetti","post_mime_type":"","comment_count":"0","filter":"raw"},"order_posts":"","dont_show_search":false,"related_posts":false,"show_on_slider":false,"single_post_data":{"titolo_spot":"","post_content":"
The main objective of the activity described in this report – which is also part of Annex 3 Cost-Benefits of the IEA ISGAN initiative – is identifying optimisation approaches that allow to improve the usability by the international research community of the automated Multi Criteria – Cost Benefit Analysis SW \u2018smartgrideval\u2019 tool for cloud platforms, developed in the previous phases to evaluate Smart Grid (SG) projects also considering non-monetisable impacts and externalities.<\/p>\n
The study of the literature and the application to case studies demonstrated the absence of a generally valid methodology for determining the \u2018weighted\u2019 relevance of evaluation criteria for multi-criteria analysis. The use of optimisation approaches applied to the principles of Decision Theory allows modelling real decision-making dynamics; the use of its decision-making rules aims at mathematically defining the satisfaction criterion.<\/p>\n
During the previous phases of the activity, based on the practices of the industrial sector, the evaluation approach that combines the use of optimisation techniques with the criterion of \u2018minimization of maximum regret\u2019 (Regret Theory) was proposed. In order to prove the effectiveness of this approach, in this study the decision-making rules of the Decision Theory are analysed. Strengths and weaknesses are highlighted in view of selecting the best initiative in the SG field. The applicability of optimisation techniques for each of the analysed rules was also evaluated. The result of the research highlighted the superiority of the decision-making rule established based on the Regret Theory principle.<\/p>\n
The proposed approach combines the \u2018minimax regret\u2019 rule with the use of an optimisation technique in order to prevent the need to determine specific weighting schemes for the multi-criteria analysis. It is thus possible to cancel the conditioning introduced by the subjectivity of the decision maker and provide the solution with the highest degree of acceptance, considering the entire stakeholder group.<\/p>\n
The analysis of the typical dimensions of decision-making problems related to project selection in the SG field highlighted the compatibility of the solution algorithm of the proposed approach with its integration into the SW \u2018smartgrideval\u2019 tool, which is planned for the next phase of activity.<\/p>\n","link_estreno":false,"scarica_file":[{"download_option":"download","file_name":"Download Report","download":{"ID":105913,"id":105913,"title":"19012964-319133.pdf","filename":"19012964-319133.pdf","filesize":1034272,"url":"https:\/\/www.rse-web.it\/wp-content\/uploads\/2021\/03\/19012964-319133.pdf","link":"https:\/\/www.rse-web.it\/en\/rapporti\/19012964\/19012964-319133\/","alt":"","author":"464","description":"19012964-319133.pdf","caption":"","name":"19012964-319133","status":"inherit","uploaded_to":132880,"date":"2021-12-31 00:00:00","modified":"2021-03-17 12:50:35","menu_order":0,"mime_type":"application\/pdf","type":"application","subtype":"pdf","icon":"https:\/\/www.rse-web.it\/wp-includes\/images\/media\/document.png"}}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2019-12-31","autori":"I. Gianinoni, Fabrizio Pilo \u2018Universit\u00e0 di Cagliari\u2019, Matteo Troncia \u2018Universit\u00e0 di Cagliari\u2019","rapporto":"","rif_rse":"19012964"},"satellite_post_url":""},"yoast_head":"\n