131159 20240206154529.0 doi 10.1016/j.epsr.2017.10.013 sideral 101845 ART-2018-101845 eng Delgado-Antillón, C. P. Probabilistic siting and sizing of energy storage systems in distribution power systems based on the islanding feature 2018 Distributed storage systems embedded in distribution power systems could complement renewable generation and improve their operation, reducing peak power levels and providing supply support to island zones in the cases of outages. This paper proposes a multi-objective optimisation, which takes advantage of the possibility of operating in an island mode. The optimisation considers the siting and sizing of storage systems placed on power distribution systems with radial topology. The objectives to be minimised are: the amount of energy storage, power losses and expected energy not supplied (EENS). Loads and generators are uncertainty variables, and a probabilistic power flow based on the point estimate method helps with assessing the electrical parameters. The optimisation uses the IEEE-34 and IEEE-123 test feeders. The Monte Carlo simulation benchmarks some results. The final results show that storage systems could reduce the peaks of power required from the central network and improve other electrical parameters. In addition, those systems with higher interruption probabilities or those working near their operation limits could benefit from storage systems. This point of view is different from other authors’. Here, storage energy systems and the island mode of operation are defined by a probabilistic point of view. The siting and sizing of storage energy systems is decided from data obtained on the probabilistic power flow and the universal generating function. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/ES/MINECO/ENE2013-48517-C2-1-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 3.022 2018 ENGINEERING, ELECTRICAL & ELECTRONIC 92 / 265 = 0.347 2018 Q2 T2 1.037 2018 Energy Engineering and Power Technology 2018 Q1 Electrical and Electronic Engineering 2018 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Domínguez-Navarro, J. A. Universidad de Zaragoza (orcid)0000-0002-4770-0069 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 155 (2018), 225-235 Electr. power syst. res. ELECTRIC POWER SYSTEMS RESEARCH 0378-7796 1317993 http://zaguan.unizar.es/record/131159/files/texto_completo.pdf Postprint 1423628 http://zaguan.unizar.es/record/131159/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:131159 articulos driver 2024-02-06-14:45:29 ARTICLE