publication . Article . 2020

Energy management and techno‐economic assessment of a predictive battery storage system applying a load levelling operational strategy in island systemsv

Petros Iliadis; Stefanos Ntomalis; Konstantinos Atsonios; Athanasios Nesiadis; Nikos Nikolopoulos; Panagiotis Grammelis;
Open Access English
  • Published: 02 Oct 2020
In the present study, a predictive battery energy storage system (BESS) for application in geographical non‐interconnected islands with high renewable energy penetration is proposed, capable of performing load levelling. The system under consideration is composed of diesel and heavy oil generators, a photovoltaic farm, and a small wind turbine. The proposed solution integrates machine learning (ML) methods for the forecasting of load and intermittent solar and wind power productions, alongside a custom scheduling algorithm, which calculates the necessary BESS setpoints that accomplish the desired levelling effect. An important feature of the scheduling algorithm...
Persistent Identifiers
free text keywords: Battery Energy Storage System, load levelling, Load Forecast, Peak Shaving, RES forecasting, Fuel Technology, Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology, Nuclear Energy and Engineering, Techno economic, Levelling, Computer science, Battery storage system, Energy management, Operational strategy, Battery energy storage system, Load forecasting, Peaking power plant, Automotive engineering
Funded by
SMart IsLand Energy systems
  • Funder: European Commission (EC)
  • Project Code: 731249
  • Funding stream: H2020 | IA
Energy Research
SDSN - GreeceSustainable Development Projects: SMart IsLand Energy systems
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