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PowerSchedOL’ottimizzazione e l’energia
This presentation contains information and descriptions of technologies, methodologies and processes developed and solely owned by M.B.I. S.r.l. (hereinafter referred to as MBI) This document may not be used, quoted, distributed or reproduced, in part or in whole, without the written permission of MBI  The oral report is complementary  to the following pages, which therefore do not make up the presentation by themselves Confidentiality Statement
PMI con competenze ad ampio spettro www.mbigroup.it Team specializzato in soluzioni applicative per l’ottimizzazione cliente + modelli + software = soluzione Partner IBM-Ilog per problematiche relative a ilog cplex Chi siamo
PSO è un framework per la costruzione e risoluzione di modelli di ottimizzazione E’ specializzato per problemi nel settore dell’energia Le applicazioni ad oggi sono nel settore elettrico e del gas naturale Si basa su motori di ottimizzazione generalpurpose e algoritmi dedicati Proposto su paradigma SOA Cos’è PowerSchedO
Allocazione di risorse: costo minimo – Unitcommitment giornaliero a costo minimo profitto massimo – UC con offerte di vendita sul mercato del giorno prima allocazione robusta – portafoglio approvvigionamenti gas con incertezza su domanda e prezzi Analisi di sensitività Analisi di tipo what-if Cosa fa
MIP di medio-grandi dimensioni Presenza di classi eterogenee di vincoli Centrali termoelettriche, idroelettriche, impianti di stoccaggio, reti di trasporto dell’energia, etc. Le classi di vincoli sono componibili secondo regole definibili dall’utente Il meta-modello è definito dall’analista. Il modello è definito dall’utente Caratteristiche dei problemi risolti
Stato dell’arte dei solver di ottimizzazione generalpurpose Potente Nella dimensione dei problemi risolti e nel tempo di risoluzione Flessibile Programmazione lineare, problemi su rete, problemi quadratici, variabili intere, … Ilog cplex
PSO Come è fatto Sistema esistente SOAP Modulo integrazione DB integrazione CPLEX Algoritmi Algoritmi
Risparmio medio: 10% Maggiore è la dimensione del problema, maggiori sono i benefici Invarianza nella qualità dei risultati Il decision maker ritorna a fare il decision maker La qualità dipende pesantemente dagli strumenti Risultati
In modalità integrata Prevede il rilascio di un sistema di classe enterprise supportato da un cluster dedicato per il calcolo Stand alone Prevede il rilascio di un sistema desktop su calcolatore dedicato Aiuta a soddisfare segmenti di mercato diversi Come si usa
Grazie per l’attenzione

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Mbi PowerSchedO Seminario Ibm/Ilog Roma 29/05/2009

  • 2. This presentation contains information and descriptions of technologies, methodologies and processes developed and solely owned by M.B.I. S.r.l. (hereinafter referred to as MBI) This document may not be used, quoted, distributed or reproduced, in part or in whole, without the written permission of MBI The oral report is complementary to the following pages, which therefore do not make up the presentation by themselves Confidentiality Statement
  • 3. PMI con competenze ad ampio spettro www.mbigroup.it Team specializzato in soluzioni applicative per l’ottimizzazione cliente + modelli + software = soluzione Partner IBM-Ilog per problematiche relative a ilog cplex Chi siamo
  • 4. PSO è un framework per la costruzione e risoluzione di modelli di ottimizzazione E’ specializzato per problemi nel settore dell’energia Le applicazioni ad oggi sono nel settore elettrico e del gas naturale Si basa su motori di ottimizzazione generalpurpose e algoritmi dedicati Proposto su paradigma SOA Cos’è PowerSchedO
  • 5. Allocazione di risorse: costo minimo – Unitcommitment giornaliero a costo minimo profitto massimo – UC con offerte di vendita sul mercato del giorno prima allocazione robusta – portafoglio approvvigionamenti gas con incertezza su domanda e prezzi Analisi di sensitività Analisi di tipo what-if Cosa fa
  • 6. MIP di medio-grandi dimensioni Presenza di classi eterogenee di vincoli Centrali termoelettriche, idroelettriche, impianti di stoccaggio, reti di trasporto dell’energia, etc. Le classi di vincoli sono componibili secondo regole definibili dall’utente Il meta-modello è definito dall’analista. Il modello è definito dall’utente Caratteristiche dei problemi risolti
  • 7. Stato dell’arte dei solver di ottimizzazione generalpurpose Potente Nella dimensione dei problemi risolti e nel tempo di risoluzione Flessibile Programmazione lineare, problemi su rete, problemi quadratici, variabili intere, … Ilog cplex
  • 8. PSO Come è fatto Sistema esistente SOAP Modulo integrazione DB integrazione CPLEX Algoritmi Algoritmi
  • 9. Risparmio medio: 10% Maggiore è la dimensione del problema, maggiori sono i benefici Invarianza nella qualità dei risultati Il decision maker ritorna a fare il decision maker La qualità dipende pesantemente dagli strumenti Risultati
  • 10. In modalità integrata Prevede il rilascio di un sistema di classe enterprise supportato da un cluster dedicato per il calcolo Stand alone Prevede il rilascio di un sistema desktop su calcolatore dedicato Aiuta a soddisfare segmenti di mercato diversi Come si usa