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Energy transfers diagrams for renewable energy systems

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Języki publikacji
EN
Abstrakty
EN
Local systems, composed of Renewable Energy Sources, generators, loads and storage devices, perform energy transfers between system components. The number of possible configurations of energy transfers grows rapidly with the number of system components, making reliable energy management a difficult task. This paper presents an approach to describe the system operation, according its energy transfers, in form of the automatically generated directed graph. The approach is focused on finding the complete set of all possible system states, that are not prohibited by the operation strategy nor inconsistent. The method is very general and can be applicable to arbitrary system configuration, that can be described at the level of components with only basic attributes and sequences of interactions. Namely, the system components are categorized according to their roles (source/sink/both), fitting in the system (rigid/adaptive) and their persistence (permanent/temporary). The key point of this method is that the final energy transfers diagram is extracted from the initial full graph by filtering out the nodes and transitions not allowed by the defined system operation principle, but leaving all the remaining states. In this way, no consistent system state is overlooked. The generated diagram may be used for studying and visualizing system operation policy, registering the energy flows, discovering doubtful states and transitions or finally for implementation of a reliable energy management controller.
Twórcy
autor
  • Department of Microelectronics and Computer Science, Faculty of Electrical, Electronic, Computer and Control Engineering, Lodz University of Technology, Wólczańska 221/223, 90-924 Łódź, Poland
Bibliografia
  • [1] S. P. Europe, “Global market outlook 2017-2021,” http://www.solarpowereurope.org, 2017.
  • [2] D. B. Richardson, “Electric vehicles and the electric grid: A review of modeling approaches, impacts, and renewable energy integration,” Renewable and Sustainable Energy Reviews, vol. 19, pp. 247 - 254, 2013. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S1364032112006557
  • [3] A. Q. Huang, M. L. Crow, G. T. Heydt, J. P. Zheng, and S. J. Dale, “The future renewable electric energy delivery and management (freedm) system: The energy internet,” Proceedings of the IEEE, vol. 99, no. 1, pp. 133-148, Jan 2011.
  • [4] P. Palensky and D. Dietrich, “Demand side management: Demand response, intelligent energy systems, and smart loads,” IEEE Transactions on Industrial Informatics, vol. 7, no. 3, pp. 381-388, Aug 2011.
  • [5] W. Marańda and M. Piotrowicz, “Sizing of photovoltaic array for low feed-in tariffs,” in 2014 Proceedings of the 21st International Conference Mixed Design of Integrated Circuits and Systems (MIXDES), June 2014, pp. 405-408.
  • [6] M. S. ElNozahy and M. M. A. Salama, “Technical impacts of gridconnected photovoltaic systems on electrical networks — a review,” JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, no. 5, 2013.
  • [7] H. Kanchev, D. Lu, F. Colas, V. Lazarov, and B. Francois, “Energy management and operational planning of a microgrid with a pv-based active generator for smart grid applications,” IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, vol. 58, no. 10, pp. 4583-4592, 2011.
  • [8] W. Marańda, “Capacity degradation of lead-acid batteries under variabledepth cycling operation in photovoltaic system,” in Proceedings of the 22nd International Conference - Mixed Design of Integrated Circuits and Systems, MIXDES, 2015, pp. 431-434.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
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