000131159 001__ 131159
000131159 005__ 20240206154529.0
000131159 0247_ $$2doi$$a10.1016/j.epsr.2017.10.013
000131159 0248_ $$2sideral$$a101845
000131159 037__ $$aART-2018-101845
000131159 041__ $$aeng
000131159 100__ $$aDelgado-Antillón, C. P.
000131159 245__ $$aProbabilistic siting and sizing of energy storage systems in distribution power systems based on the islanding feature
000131159 260__ $$c2018
000131159 5060_ $$aAccess copy available to the general public$$fUnrestricted
000131159 5203_ $$aDistributed 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.
000131159 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/ENE2013-48517-C2-1-R
000131159 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000131159 590__ $$a3.022$$b2018
000131159 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b92 / 265 = 0.347$$c2018$$dQ2$$eT2
000131159 592__ $$a1.037$$b2018
000131159 593__ $$aEnergy Engineering and Power Technology$$c2018$$dQ1
000131159 593__ $$aElectrical and Electronic Engineering$$c2018$$dQ1
000131159 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000131159 700__ $$0(orcid)0000-0002-4770-0069$$aDomínguez-Navarro, J. A.$$uUniversidad de Zaragoza
000131159 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000131159 773__ $$g155 (2018), 225-235$$pElectr. power syst. res.$$tELECTRIC POWER SYSTEMS RESEARCH$$x0378-7796
000131159 8564_ $$s1317993$$uhttps://zaguan.unizar.es/record/131159/files/texto_completo.pdf$$yPostprint
000131159 8564_ $$s1423628$$uhttps://zaguan.unizar.es/record/131159/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000131159 909CO $$ooai:zaguan.unizar.es:131159$$particulos$$pdriver
000131159 951__ $$a2024-02-06-14:45:29
000131159 980__ $$aARTICLE