An economic-environmental asset planning in electric distribution networks considering carbon emission trading and demand response

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Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorAalto University-
Autor(es): dc.creatorMelgar-Dominguez, Ozy D. [UNESP]-
Autor(es): dc.creatorPourakbari-Kasmaei, Mahdi-
Autor(es): dc.creatorLehtonen, Matti-
Autor(es): dc.creatorSanches Mantovani, José R. [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:28:44Z-
Data de disponibilização: dc.date.available2022-02-22T00:28:44Z-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-04-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.epsr.2020.106202-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/199907-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/199907-
Descrição: dc.descriptionInitiatives such as government programs and investment in low-carbon technologies have been adopted to mitigate the carbon emissions in the electricity sector. These initiatives have resulted in new challenges in the power sector, and to address them adequately, innovative frameworks are required in the electric distribution network (EDN) expansion planning and operation problems. Therefore, this work proposes an environmentally committed asset planning approach to remedy the existing issues to some extent. The proposed strategy investigates the benefits of the simultaneous allocation of several assets such as capacitor banks (CBs), distributed generation (DG) units based on renewable energy sources, and energy storage systems (ESSs). Moreover, an innovative carbon emission trading scheme is formulated in the planning stage to mitigate the CO2 emissions while a demand response program is applied to modify the consumption behavior. The proposed approach is formulated as a two-stage robust mixed-integer programming model, which considers uncertainties associated with the electricity demand and renewable-based DG. To cope with the difficulties of this complex model, utilizing an efficient decomposition algorithm, such as the C&CG decomposition algorithm, is essential. The potential of the proposed approach is studied under different operating conditions and via several test cases on a 137-node EDN. In addition, to validate the performance of the proposed carbon emission scheme, a multi-region 54-node distribution network is adequately evaluated. Results show that by considering simultaneously multiple planning alternatives, carbon emission trading scheme, and the demand response program, the total CO2 emissions are reduced by up to 15%.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionThe Department of Electrical Engineering São Paulo State University (UNESP), Ilha Solteira-
Descrição: dc.descriptionThe Department of Electrical Engineering and Automation Aalto University, Maarintie 8-
Descrição: dc.descriptionThe Department of Electrical Engineering São Paulo State University (UNESP), Ilha Solteira-
Descrição: dc.descriptionFAPESP: 2015/21972-6-
Descrição: dc.descriptionFAPESP: 2018/12422-0-
Descrição: dc.descriptionCNPq: 305318/2016-0-
Idioma: dc.languageen-
Relação: dc.relationElectric Power Systems Research-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAsset planning-
Palavras-chave: dc.subjectCarbon emission trading-
Palavras-chave: dc.subjectDemand response-
Palavras-chave: dc.subjectDistributed generation-
Palavras-chave: dc.subjectDistribution networks-
Título: dc.titleAn economic-environmental asset planning in electric distribution networks considering carbon emission trading and demand response-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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