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

[1]  Nadeem Javaid,et al.  An overview of load management techniques in smart grid , 2015 .

[2]  Alagan Anpalagan,et al.  Optimization classification, algorithms and tools for renewable energy: A review , 2014 .

[3]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[4]  Hengxu Zhang,et al.  Coordinated Frequency Control Strategy of BESS integrating high proportion of Wind power plant with a Steam turbine , 2018, 2018 International Conference on Power System Technology (POWERCON).

[5]  Asheesh K. Singh,et al.  Energy Storage Systems in Solar-Wind Hybrid Renewable Systems , 2017 .

[6]  Yu Liu,et al.  A techno‐economic analysis on NaS battery energy storage system supporting peak shaving , 2016 .

[7]  Om Krishan,et al.  An updated review of energy storage systems: Classification and applications in distributed generation power systems incorporating renewable energy resources , 2018, International Journal of Energy Research.

[8]  Ralph E. White,et al.  Mathematical modeling of the capacity fade of Li-ion cells , 2003 .

[9]  Tapabrata Ray,et al.  Evolutionary Algorithms for Dynamic Economic Dispatch Problems , 2016, IEEE Transactions on Power Systems.

[10]  Maria Carmela Di Piazza,et al.  Improving Grid Integration of Hybrid PV-Storage Systems Through a Suitable Energy Management Strategy , 2019, IEEE Transactions on Industry Applications.

[11]  Hamid Shaker,et al.  Impacts of large-scale wind and solar power integration on California׳s net electrical load , 2016 .

[12]  Tapan Kumar Saha,et al.  Real-Time Coordinated Voltage Control of PV Inverters and Energy Storage for Weak Networks With High PV Penetration , 2018, IEEE Transactions on Power Systems.

[13]  Changhee Lee,et al.  Comparison of NOx and Smoke Characteristics of Water-in-Oil Emulsion and Marine Diesel Oil in 400-kW Marine Generator Engine , 2019, Energies.

[14]  S. Hameer,et al.  A review of large‐scale electrical energy storage , 2015 .

[15]  Adel Nasiri,et al.  Average modeling of a three-phase inverter for integration in a microgrid , 2014, 2014 IEEE Energy Conversion Congress and Exposition (ECCE).

[16]  Lambros Ekonomou,et al.  A Heuristic Combinatorial Optimization Algorithm for Load-Leveling and Peak Demand Reduction using Energy Storage Systems , 2017 .

[17]  Arash Barzkar,et al.  A novel peak load shaving algorithm via real‐time battery scheduling for residential distributed energy storage systems , 2018 .

[18]  J. Eloy-Garcia Carrasco,et al.  Peak shaving algorithm with dynamic minimum voltage tracking for battery storage systems in microgrid applications , 2018, Journal of Energy Storage.

[19]  B. Vural,et al.  A dynamic lithium-ion battery model considering the effects of temperature and capacity fading , 2009, 2009 International Conference on Clean Electrical Power.

[20]  Henrik Zsiborács,et al.  Intermittent Renewable Energy Sources: The Role of Energy Storage in the European Power System of 2040 , 2019, Electronics.

[21]  Muhammad Khalid,et al.  A review on the selected applications of forecasting models in renewable power systems , 2019, Renewable and Sustainable Energy Reviews.

[22]  Xiaorong Xie,et al.  Distributed Optimal Energy Management in Microgrids , 2015, IEEE Transactions on Smart Grid.

[23]  Dipti Saxena,et al.  Energy management system for smart grid: An overview and key issues , 2020, International Journal of Energy Research.

[24]  M. F. Abdullah,et al.  A novel peak shaving algorithm for islanded microgrid using battery energy storage system , 2020 .

[25]  Soteris A. Kalogirou,et al.  Energy storage for electricity generation and related processes: Technologies appraisal and grid scale applications , 2018, Renewable and Sustainable Energy Reviews.