000075492 001__ 75492 000075492 005__ 20231116120808.0 000075492 0247_ $$2doi$$a10.1109/ICHQP.2018.8378902 000075492 0248_ $$2sideral$$a108214 000075492 037__ $$aART-2018-108214 000075492 041__ $$aeng 000075492 100__ $$0(orcid)0000-0002-1561-0536$$aIgual, R.$$uUniversidad de Zaragoza 000075492 245__ $$aIntegral mathematical model of power quality disturbances 000075492 260__ $$c2018 000075492 5060_ $$aAccess copy available to the general public$$fUnrestricted 000075492 5203_ $$aPower quality (PQ) disturbances lead to severe problems in industries and electrical grids. To mitigate PQ problems, the accurate detection and classification of the possible disturbances are essential. A large number of studies exists in this field. The first research step in these studies is to obtain several distorted signals to test the classification systems. In this regard, the most common trend is the generation of signals from mathematical models. In the literature, we can find several models with significant differences among them. However, to the best of our knowledge, there is no integral model that considers all types of distortions. This work presents an integral mathematical model based on the models found in the literature. The model also includes new types of combined disturbances. Twenty-nine disturbances are considered. Additionally, this work includes a software version of this integral model that is publicly available to be used by any interested researcher. In this way, PQ disturbances can be generated in a fast and automatic way. This software aims to facilitate future studies, supporting researchers in the modelling stage. 000075492 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T81$$9info:eu-repo/grantAgreement/ES/UZ/PRAUZ-17-190 000075492 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000075492 592__ $$a0.264$$b2018 000075492 593__ $$aElectrical and Electronic Engineering$$c2018 000075492 593__ $$aEnergy Engineering and Power Technology$$c2018 000075492 593__ $$aSignal Processing$$c2018 000075492 593__ $$aFuel Technology$$c2018 000075492 593__ $$aComputer Networks and Communications$$c2018 000075492 655_4 $$ainfo:eu-repo/semantics/conferenceObject$$vinfo:eu-repo/semantics/publishedVersion 000075492 700__ $$0(orcid)0000-0001-7671-7540$$aMedrano, C.$$uUniversidad de Zaragoza 000075492 700__ $$0(orcid)0000-0002-9299-9717$$aArcega, F.J.$$uUniversidad de Zaragoza 000075492 700__ $$aMantescu, G. 000075492 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica 000075492 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica 000075492 773__ $$g17841311 (2018), [6 pp]$$pInt. Conf. Harmon. Qual. Power.$$tProceedings of International Conference on Harmonics and Quality of Power, ICHQP$$x1540-6008 000075492 8564_ $$s273583$$uhttps://zaguan.unizar.es/record/75492/files/texto_completo.pdf$$yVersión publicada 000075492 8564_ $$s112614$$uhttps://zaguan.unizar.es/record/75492/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000075492 909CO $$ooai:zaguan.unizar.es:75492$$particulos$$pdriver 000075492 951__ $$a2023-11-16-12:00:12 000075492 980__ $$aARTICLE