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dc.contributor.authorMokryani, Geev*
dc.date.accessioned2015-12-21T14:16:24Z
dc.date.available2015-12-21T14:16:24Z
dc.date.issued2015-12
dc.identifier.citationMokryani G (2015) Active distribution networks planning with integration of demand response. Solar Energy. 122: 1362-1370.en_US
dc.identifier.urihttp://hdl.handle.net/10454/7560
dc.descriptionYesen_US
dc.description.abstractThis paper proposes a probabilistic method for active distribution networks planning with integration of demand response. Uncertainties related to solar irradiance, load demand and future load growth are modelled by probability density functions. The method simultaneously minimizes the total operational cost and total energy losses of the lines from the point of view of distribution network operators with integration of demand response over the planning horizon considering active management schemes including coordinated voltage control and adaptive power factor control. Monte Carlo simulation method is employed to use the generated probability density functions and the weighting factor method is used to solve the multi-objective optimization problem. The effectiveness of the proposed method is demonstrated with 16-bus UK generic distribution system.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://dx.doi.org/10.1016/j.solener.2015.10.052en_US
dc.rights(c) 2015 Elsevier. Full-text reproduced in accordance with the publisher's self-archiving policy.en_US
dc.subjectPhotovoltaic cells; Loss minimisation; Demand response; Distribution network operators; Monte Carlo simulation; Uncertaintiesen_US
dc.titleActive distribution networks planning with integration of demand responseen_US
dc.status.refereedYesen_US
dc.typeArticleen_US
dc.type.versionAccepted Manuscripten_US
refterms.dateFOA2017-01-01T00:00:00Z


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