%0 Conference Proceedings
%T A New DG Planning Approach to Maximize Renewable - Based DG Penetration Level and Minimize Annual Loss
%+ University of Beira Interior [Portugal] (UBI)
%+ Institute for Systems and Computer Engineering, Technology and Science [Porto] (INESC TEC)
%+ Faculty of Engineering of University of Porto
%+ Universidade de Lisboa = University of Lisbon (ULISBOA)
%A Najafi, Soroush
%A Shafie-Khah, Miadreza
%A Hajibandeh, Neda
%A Osório, Gerardo, J.
%A Catalão, João
%Z Part 8: Energy: Optimization
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 8th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS)
%C Costa de Caparica, Portugal
%Y Luis M. Camarinha-Matos
%Y Mafalda Parreira-Rocha
%Y Javaneh Ramezani
%I Springer International Publishing
%3 Technological Innovation for Smart Systems
%V AICT-499
%P 269-276
%8 2017-05-03
%D 2017
%R 10.1007/978-3-319-56077-9_26
%K Annual loss
%K Biomass
%K DG penetration
%K Network reconfiguration
%K Pareto front
%K Reactive power planning
%K Renewable energy
%Z Computer Science [cs]Conference papers
%X Distributed Generation (DG) using renewable technologies is increasing due to their benefits including energy security and emission reduction. However, installing new DGs in distributed networks is limited due to network constraints such as feeder capacity and short circuit level, as well as higher investment costs. In this paper, network reconfiguration and reactive power planning are used to maximize DG penetration level and to minimize annual loss for DGs with biomass technologies. In order to model the problem uncertainties, 96 scenarios considering ten different network load levels are studied. A multi-objective method is applied for solving this optimization problem by using Pareto front. The numerical results indicate the positive impacts of the proposed approach on improving the network security.
%G English
%Z TC 5
%Z WG 5.5
%2 https://inria.hal.science/hal-01629586/document
%2 https://inria.hal.science/hal-01629586/file/448071_1_En_26_Chapter.pdf
%L hal-01629586
%U https://inria.hal.science/hal-01629586
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-WG5-5
%~ IFIP-DOCEIS
%~ IFIP-AICT-499