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dc.contributor.authorMishra, Sambeet
dc.contributor.authorBordin, Chiara
dc.contributor.authorTomasgard, Asgeir
dc.contributor.authorPalu, Ivo
dc.identifier.citationInternational Journal of Electrical Power & Energy Systems. 2019, 109 696-709.en_US
dc.description.abstractPower system planning for modern distribution networks is undergoing a change because of distributed power generation and grid ancillary services. The vast electricity retail utility industry with many distribution network operators plans generation and transmission expansion planning for determining optimal investment decisions. This paper addresses this planning problem in a decentralized and distributed context. This paper introduces a coordinated decision making approach for optimal investments in generation and transmission expansion planning problems for distribution networks. The distribution networks are further classified into microgrids. Considering an agent as the functional information exchanging entity just like an energy meter with the objective to coordinate the expansion decisions of participants; a novel math-heuristic optimization model Coordinated Microgrid is presented. To simulate the coordination of information a multi-agent-system based coordinated decision making method is adopted and the value of coordination is investigated. The evolutionary vertical sequencing protocol, a heuristic method, is developed and implemented to simulate the coordination process among agents on the top level. The proposed protocol produces smart permutations of microgrids for coordination. On the bottom level, a two-stage chance-constrained stochastic MILP formulation for investment decisions with operational uncertainties is modeled. For market clearing a nodal-pricing scheme is adopted that maintains the Nash equilibrium among and across the microgrids for energy transactions. The proposed model is tested with consumption, network configuration data from three islands in west-coast of Norway. The models are solved to optimality and results lead to the observations that the value of coordination lies in profit increment of individual microgrid. The novel protocol proposed demonstrates an advantage of retrieving smart permutations from combinations of microgrids. In summary, CoMG is a novel expansion planning model for optimal investments in modern power distribution networks.en_US
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.titleA multi-agent system approach for optimal microgrid expansion planning under uncertaintyen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.source.journalInternational Journal of Electrical Power & Energy Systemsen_US
dc.description.localcode© 2019. This is the authors’ accepted and refereed manuscript to the article. Locked until 2 March 2021 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license

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Navngivelse-Ikkekommersiell 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse-Ikkekommersiell 4.0 Internasjonal