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dc.contributor.advisorAnaya-Lara, Olimpo
dc.contributor.authorGavric, Mirko
dc.date.accessioned2017-03-13T07:49:40Z
dc.date.available2017-03-13T07:49:40Z
dc.date.created2016-11-15
dc.date.issued2016
dc.identifierntnudaim:16400
dc.identifier.urihttp://hdl.handle.net/11250/2433738
dc.description.abstractVoltage rise and drop are one of the major problems in low voltage distribution networks. Usually they occur due to the large mismatches in demand and supply of power. An increase in the penetration of renewable energy sources (RES) is also a contributor to these problems. With the help of energy storage these problems can be successfully mitigated and the RES hosting capacity of the distribution networks can be increased. The effects of using this strategy can be maximized by optimal placement and sizing of energy storage. There are various tools used for the optimization processes and one of them is the Genetic Algorithm which has proven to be a good tool for this type of problems.
dc.languageeng
dc.publisherNTNU
dc.subjectWind Energy, Electric Power Systems
dc.titleOptimal placement and sizing of battery energy storage using the genetic algorithm
dc.typeMaster thesis


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