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RESEARCH PRODUCT

Implementation of a Management System for Prosumer Energy Storage Scheduling in Smart Grids

Giuseppe CaravelloDario Di CaraValentina CosentinoGiovanni TineDavide AloisioNicola PanzavecchiaAntonio CataliottiFrancesco SergiSalvatore GuaianaG. BrunacciniGiovanni ArtaleVincenzo AntonucciMarco Ferraro

subject

Battery (electricity)Computer sciencedistributed measurement system020209 energyDistributed computingScheduling (production processes)Context (language use)02 engineering and technologyoptimzationbattery management systemEnergy storagesizing0202 electrical engineering electronic engineering information engineeringschedulingdistribution systemdistributed generationbusiness.industryenergy storage020208 electrical & electronic engineeringdemand side responsesmart power gridsState of chargeSmart gridDistributed generationComputer data storagebusinessPSO.Settore ING-INF/07 - Misure Elettriche E Elettroniche

description

Scheduling of energy storage systems of distributed generation is a key element for optimal renewable energy sources (RES) exploitation in smart grids, demand side response strategies implementation and prosumers interaction with Distribution System Operators (DSOs). In this context, this paper presents the implementation of a management system for energy storage scheduling, which allows taking appropriate account of the storage system behavior in real cases. To properly consider the real system operation, the employed battery model is modified, in order to include also the hysteresis phenomena in state of charge estimation in both charging and discharging operation. The validation of the proposed methodology is supported by experimental tests which allow comparing two different battery models. The obtained results show that better results can be obtained with the model including the hysteresis effect.

10.1109/melecon48756.2020.9140566https://ieeexplore.ieee.org/document/9140566