Information technology control of alternative energy objects
DOI:
https://doi.org/10.15587/2312-8372.2015.37186Keywords:
distributed generation, information systems, agent-based modeling, simulation, databaseAbstract
The significant losses of useful energy that occurs during transportation energy to the end users from large power plants to ultimate users causes to look for alternative ways of organizing the activities of the grid. Hybrid energy system based on renewable energy helps to achieve an optimal relationship between generation and consumption of energy. Thus, paper discusses the topicality of the using of information technology for renewable energy control in the construction of hybrid grids and also problems arising in this case.
Here are proposed the architecture of analytical information system for control of hybrid power systems based on the energy of wind and sun, on the basis of the analysis information flow in it. It was indicated key factors influencing to the production of electricity and were generated questions, the answers to which gives the system. During creating the proposed architecture was decided to use the client-server technology with the assistance of software agents. It was established that the proposed method of agent-based modeling allows to make an independent work of the grid investigation from access of ordinary users.
References
- Shendryk, V., Vaschenko, S., Shulyma, O., Omelianenko, K. (2013). Relevance of modeling distributed energy systems for efficient use of renewable energy sources. Eastern-European Journal Of Enterprise Technologies, 5(8(65)), 4-8. Available: http://journals.uran.ua/eejet/article/view/18118/15866
- Multin, M., Allerding, F., Schmeck, H. (2012, January). Integration of electric vehicles in smart homes - an ICT-based solution for V2G scenarios. 2012 IEEE PES Innovative Smart Grid Technologies (ISGT). IEEE, 1-8. doi:10.1109/isgt.2012.6175624
- Ackermann, T., Andersson, G., Söder, L. (2001, April). Distributed generation: a definition. Electric Power Systems Research, Vol. 57, № 3, 195–204. doi:10.1016/s0378-7796(01)00101-8
- Konechenkov, A. (19.01.2005). Renewable Energy. Focusing: Ukraine Vision 2050. Available: http://www.inforse.org/europe/pdfs/S3_UKR_Vision%202050_FAE.pdf
- Dostál, P., Chramcov, B., Baláte, J. (2003). Prediction of the heat supply daily diagram via artificial neural network. Proceedings of the 4th International Carpathian Control Conference, Germany, Zittau, 480-484.
- Ramachandra, T. V. (2009, February). RIEP: Regional integrated energy plan. Renewable and Sustainable Energy Reviews, Vol. 13, № 2, 285–317. doi:10.1016/j.rser.2007.10.004
- Ringel, M. (2006, January). Fostering the use of renewable energies in the European Union: the race between feed-in tariffs and green certificates. Renewable Energy, Vol. 31, № 1, 1–17. doi:10.1016/j.renene.2005.03.015
- Shulyma, O., Shendryk, V., Baranova, I., Marchenko, A. (2014). The Features of the Smart MicroGrid as the Object of Information Modeling. Information and Software Technologies, Vol. 465, 12-23. doi:10.1007/978-3-319-11958-8_2
- Jebaraj, S., Iniyan, S. (2006, August). A review of energy models. Renewable and Sustainable Energy Reviews, Vol. 10, № 4, 281–311. doi:10.1016/j.rser.2004.09.004
- Mets, K., Verschueren, T., Develder, C., Vandoorn, T. L., Vandevelde, L. (2011, June). Integrated simulation of power and communication networks for smart grid applications. 2011 IEEE 16th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). IEEE, 61-65. doi:10.1109/camad.2011.5941119
- Tisue, S., Wilensky, U. (2004, 16-21 May). NetLogo: A Simple Environment for Modeling Complexity. Proceedings of the International Conference on Complex Systems, Boston, 1-10. doi:10.1.1.117.949
- Zhuge, Y., Garcia-Molina, H., Wiener, J. L. (1998). Consistency Algorithms for Multi-Source Warehouse View Maintenance. Parallel and Distributed Information Systems, 7–40. doi:10.1007/978-1-4757-6132-0_2
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2016 Ольга Василівна Шулима, Віра Вікторівна Шендрик, Анатолій Сергійович Богачов
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.