Development of a planning tool for network ancillary services using customer-owned solar and battery storage

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dc.contributor.author Del Giudice, A.
dc.date.accessioned 2018-07-04T14:44:38Z
dc.date.available 2018-07-04T14:44:38Z
dc.date.issued 2018
dc.identifier.isbn 9781538619537
dc.identifier.uri http://hdl.handle.net/10840/9544
dc.description.abstract This paper presents a practical method for estimate the state of charge (SoC) of customer-owned solar PV and battery assets on a site-by-site basis in real-time. Starting from the assumption that there is a preceding agreement between customers and network operator, the tool makes a day-ahead estimation of the SoC of the battery. This considers the local PV generation and consumption of the customer and assumes the system is operating to optimize performance with regards to tariffs, operating costs and network agreement. A model-based observer is used to predict SoC 24 hours ahead. The model considers customer consumption and PV production which are separately forecasted and used to estimate the SoC of the battery one day ahead. Since the forecasts are uncertain, a Monte Carlo approach has been considered in order to estimate an upper and lower bound of the SoC over time. With this information the utility can make its choices on Ancillary Services resources allocation one day ahead. Simulation results are presented using input data from a real system. © 2017 IEEE. it_IT
dc.language.iso en it_IT
dc.publisher Institute of Electrical and Electronics Engineers Inc. it_IT
dc.relation.ispartof 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings it_IT
dc.title Development of a planning tool for network ancillary services using customer-owned solar and battery storage it_IT
dc.type Intervento a convegno it_IT
dc.date.convegno 26 September 2017 through 29 September 2017
dc.description.nomeconvegno 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 it_IT
dc.description.riferimenti Scopus ID: 2-s2.0-85046283764
dc.description.sede-enea Centro Ricerche Portici it_IT
dc.relation.pagenumber 1 - 6 it_IT
dc.relation.volumenumber 2018-January it_IT
dc.subject.keywords battery management it_IT
dc.subject.keywords Energy storage it_IT
dc.subject.keywords optimal scheduling it_IT
dc.subject.keywords SoC estimation it_IT
dc.subject.keywords solar power it_IT
dc.subject.tipologia-enea Tecnologie Portici it_IT
dc.description.info Authors: Del Giudice A., Wills A., Mears A. it_IT
dc.identifier.doi 10.1109/ISGTEurope.2017.8260252
dc.identifier.url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046283764&doi=10.1109%2fISGTEurope.2017.8260252&partnerID=40&md5=cfed22482a414443666fbcb9c95fed34

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