A new parallel decision support system (P-CoMG) to assist decisions in power networks
Susin Nasarre, Marcos
Universitat de Lleida. Escola Politècnica Superior
MetadataShow full item record
Power system expansion specifically for distribution networks is gaining more importance due to the integration of distributed energy systems. Optimisation models are more used to tackle generation and transmission expansion problems (GTEP). This way, cloud computing, machine learning, big data, internet of things, simulation and optimisation are critical factors in the innovation of the power sector. In the recent past, a new inter-disciplinary subject focusing on energy and information system called energy informatics has emerged. This paper proposes a novel mathematical model to deal with GTEP regarding the collaboration and competition between all the nodes and actors in the power network. Additionally, this work proposes the usage of a parallel algorithm to solve the GTEP problem using the model efficiently. This way, to assist power network companies to make better strategic, tactical and operational decisions related to the investments, maintenance or evaluation of the power network a cloud-based Decision Support System (DSS) is proposed. Mainly, focused at: (i) integrate the data in the system, (ii) integrate the model, (iii) automate the resolution process, and finally present the results in an interactive way to the end-users. This work extends the advantages of optimisation and simulation models with the potential of parallel and cloud computing to automate and o↵er the knowledge and the analytics. The results show that the decision support system proposed helps decisions makers in real situations to do better planning by obtaining the competitive advantages of using the proposed model in a usable, flexible and straightforward way.
European research projects
The following license files are associated with this item:
Showing items related by title, author, creator and subject.
Decision support tools and strategies to simulate forest landscape evolutions integrating forest owner behaviour: a review from the case studies of the European Project, INTEGRAL Orazio, Christophe; Cordero Montoya, Rebeca; Régolini, Margot; Borges, José G.; Garcia Gonzalo, Jordi; Barreiro, Susana; Botequim, Brigite; Marques, Susete; Sedmák, Róbert; Smreček, Róbert; Brodrechtová, Yvonne; Brukas, Vilis; Chirici, Gherardo; Marchetti, Marco; Moshammer, Ralf; Biber, Peter; Corrigan, Edwin; Eriksson, Ljusk Ola; Favero, Matteo; Galev, Emil; Hengeveld, Geerten M.; Kavaliauskas, Marius; Mozgeris, Gintautas; Navrátil, Rudolf; Nieuwenhuis, Maarten; Paligorov, Ivan; Pettenella, Davide; Stanislovaitis, Andrius; Tomé, Margarida; Trubins, Renats; Tuček, Ján; Vizzarri, Matteo; Wallin, Ida; Pretzsch, Hans; Sallnäs, Ola (MDPI, 2017-04-13)For forest sustainability and vulnerability assessment, the landscape scale is considered to be more and more relevant as the stand level approaches its known limitations. This review, which describes the main forest ...
Air quality impacts of distributed power generation in the South Coast Air Basin of California 1: Scenario development and modeling analysis Rodriguez, Marco A.; Carreras-Sospedra, Marc; Medrano Martorell, Marc; Brouwer, Jack; Samuelsen, G. Scott; Dabdub, Donald (Elsevier, 2006)Distributed generation (DG) is generally defined as the operation of many small stationary power generators throughout an urban air basin. Although DG has the potential to supply a significant portion of the increased ...
Adapting the Decision Support System CPOWeeds to optimize weed control in northern Spanish conditions Montull Daniel, José María (Universitat de Lleida, 2016-09-23)