145274 20260217205557.0 doi 10.3390/en17184707 sideral 140101 ART-2024-140101 eng De Oliveira-De Jesus, Paulo M. Optimal power dispatch for maximum energy community welfare by considering closed distribution systems and renewable sources 2024 Access copy available to the general public Unrestricted Regulatory boards are promoting closed distribution systems (CDSs), which are different from traditional public-access networks, that can be owned and managed by energy communities (ECs). The inclusion of local renewable energy potential and an adequate schedule of storage devices in a CDS allow cooperation among the EC’s members in order to reduce operational expenditure (OPEX), providing internally competitive electricity prices with respect to those provided by publicly regulated networks and electricity markets. The CDS operators can assume a new role as the centralized energy dispatchers of generation and storage assets in order to maximize the profits of the members of the EC. This paper proposes an innovative optimal active and reactive power dispatch model for maximum community welfare conditions. A key difference between this proposal and existing social-welfare-based dispatches on public-access networks is the exclusion of the profit of the external wholesale electricity market. The focus of the proposed method is to maximize the welfare of all community members. A remuneration framework based on a collective EC with a single frontier is adopted, considering agreements between members based on locational marginal pricing (CDS-LMP). Results from an illustrative case study show a reduction of 50% in the EC’s OPEX with a payback time of 6 years for investments in CDSs, renewable sources, and storage. info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 3.2 2024 ENERGY & FUELS 112 / 182 = 0.615 2024 Q3 T2 0.713 2024 Engineering (miscellaneous) 2024 Q1 Electrical and Electronic Engineering 2024 Q2 Energy (miscellaneous) 2024 Q2 Renewable Energy, Sustainability and the Environment 2024 Q2 Fuel Technology 2024 Q2 Control and Optimization 2024 Q2 Energy Engineering and Power Technology 2024 Q2 7.3 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Yusta, Jose M. Universidad de Zaragoza (orcid)0000-0003-3174-9703 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 17, 18 (2024), 4707 [21 pp.] ENERGIES Energies 1996-1073 999241 http://zaguan.unizar.es/record/145274/files/texto_completo.pdf Versión publicada 2698709 http://zaguan.unizar.es/record/145274/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:145274 articulos driver 2026-02-17-20:42:59 ARTICLE