Voltage-dependent load model-based shortterm distribution network planning considering carbon tax surplus

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dc.contributor.authorMelgar-Dominguez, Ozy Daniel [UNESP]
dc.contributor.authorPourakbari-Kasmaei, Mahdi
dc.contributor.authorLehtonen, Matti
dc.contributor.authorMantovani, José Roberto Sanches [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionAalto University
dc.date.accessioned2020-12-12T02:26:07Z
dc.date.available2020-12-12T02:26:07Z
dc.date.issued2019-09-03
dc.description.abstractNowadays, strategies to cope with environmental issues play a crucial role in the development of planning methodologies for electric distribution networks (EDNs). The primary goal of these methodologies is to find the equilibrium point, for which the EDN provides a high-quality service with the most environmentally-committed operation. Based on this fact, an alternative strategic approach for short-term EDN planning is presented. This decision-making scheme is based on classical investment actions to enhance the EDN performance in which the investment and operating costs, as well as the carbon tax surpluses, are minimised simultaneously. Unlike the traditional short-term planning methods and to explore a more accurate approach, the electricity demand is represented by the voltage-dependent exponential load model. By using this representation, substantial benefits related to energy saving can be achieved. To validate the proposed planning scheme, several test cases considering constant power demand and voltage-dependent representation are widely studied on a 135-node distribution network. Additionally, the scalability of the proposed planning scheme is studied by using two medium distribution networks of 42- and 417-node. Numerical results confirm the robustness and applicability of the presented approach as an appropriate way of promoting to an efficient and low carbon tax surplus network.en
dc.description.affiliationDepartment of Electrical Engineering São Paulo State University (UNESP)
dc.description.affiliationDepartment of Electrical Engineering and Automation Aalto University, Maarintie 8
dc.description.affiliationUnespDepartment of Electrical Engineering São Paulo State University (UNESP)
dc.format.extent3760-3770
dc.identifierhttp://dx.doi.org/10.1049/iet-gtd.2018.6612
dc.identifier.citationIET Generation, Transmission and Distribution, v. 13, n. 17, p. 3760-3770, 2019.
dc.identifier.doi10.1049/iet-gtd.2018.6612
dc.identifier.issn1751-8687
dc.identifier.scopus2-s2.0-85072286802
dc.identifier.urihttp://hdl.handle.net/11449/201180
dc.language.isoeng
dc.relation.ispartofIET Generation, Transmission and Distribution
dc.sourceScopus
dc.titleVoltage-dependent load model-based shortterm distribution network planning considering carbon tax surplusen
dc.typeArtigo

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