Performance efficiency analysis of electric power supply systems
DOI:
https://doi.org/10.15587/1729-4061.2017.92290Keywords:
electric power networks, effectiveness, electric power consumption, electric power supply, factors of power process, simulation, directed graphAbstract
Predetermined by the need to increase effectiveness of electric power supply and electric power consumption, the interconnected problems of effectiveness of these processes were explored. The object of present study is effectiveness of operation of electric power systems and the subject of the study is the processes to increase their effectiveness. The problems are caused by energy-consuming technologies, unstable consumption of electricity and out-dated organization. On the one hand, it is the variable system of electric power consumption, on the other hand, the unstable system of electric power supply. It was established in the work that these systems could be balanced by their constant optimization. All operative factors of influence are established for this. Based on this, the processes of electric power consumption and supply are optimized with the help of the diagram of cause-effect interrelations. All factors, which influence effectiveness of electric power consumption and electric power supply, are represented by the Ishikawa Kaoru diagram and are divided into four groups: organizational, technical, technological and economic with their specific definition. It was followed by an analysis of their influence with separating 7–9 basic factors in each group. The establishment of the optimum variant of EPS and EPC is classically reduced to determining characteristic of distributive function, strategy and modes at minimization of effectiveness indicators. It is simpler to establish the optimum structure of electric power supply and electric power consumption, using, to describe them, directed graphs, the vertices of which correspond to the elements of the structure, and arcs correspond to relationships between them. For further mathematical processing, this directed graph is described by the system of matrix equations and the task is reduced to the search for minimum or maximum paths in the directed graph.References
- Khalilpour, R., Vassallo, A. (2015). Leaving the grid: An ambition or a real choice? Energy Policy, 82, 207–221. doi: 10.1016/j.enpol.2015.03.005
- Cordon, O., Herrera, F. (2000). A proposal for improving the accuracy of linguistic modeling. IEEE Transactions on Fuzzy Systems, 8 (3), 335–344. doi: 10.1109/91.855921
- Staines, A. S. (2010). Supporting Requirements Engineering with Different Petri Net Classes. International journal of computers, 4 (4), 215–222.
- Roboam, X. (Ed.) (2012). Integrated Design by Optimization of Electrical Energy Systems. Wiley, 320. doi: 10.1002/9781118561812
- Rozen, V. P., Prokopec', M. V. (2006). Vykorystannja vnutrishnih rezerviv tehnologichnyh procesiv pry keruvanni rezhymamy elektrospozhyvannja promyslovyh pidpryjemstv. Avtomatyzacija vyrobnychyh procesiv: Vseukr. nauk. – tehn. zhurn, 1 (22), 26–30.
- Volodars'kyj, Je. T., Voloshko, A. V. (2014). Monitoring system of electricity quality in decentralized electricity supply systems. Eastern-European Journal of Enterprise Technologies, 3 (8 (69)), 10–17. doi: 10.15587/1729-4061.2014.24890
- Prahovnik, A. V., Popov, V. A., Jarmoljuk, E. S. et. al. (2012). Perspektivy i puti razvitija raspredelennoj generacii v Ukraine. Energetyka: ekonomika, tehnologii', ekologija, 2, 7–14.
- Sobczuk, D. (2015). Algorithmic realization impacts assessment for renewable sources electric power on reliability electrical networks. Informatics, Control, Measurement in Economy and Environment Protection, 5 (1), 93–100. doi: 10.5604/20830157.1148056
- Lezhniuk, P. D., Komar, V. A., Sobchuk, D. S. (2014). Method for Determination of Optimal Installed Capacity of Renewable Sources of Energy by the Criterion of Minimum Losses of Active Power in Distribution System. Energy and Power Engineering, 06 (03), 37–46. doi: 10.4236/epe.2014.63005
- Meier, A. V. (2013). Jump up. Electrical Engineer 137A: Electric Power Systems. Lecture 2: Introduction to Electric Power Systems.
- Casillas, J., Cordon, O., del Jesus, M. J., Herrera, F. (2005). Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction. IEEE Transactions on Fuzzy Systems, 13 (1), 13–29. doi: 10.1109/tfuzz.2004.839670
- Tasic, D. S., Stojanovic, M. S. (2006). Modified Fuzzy Clustering Method for Energy Loss Calculations in Low Voltage Distribution Networks. Electroncs and electrical engineering, 2, 50–55.
- Tasic, D. S., Stojanovic, M. (2005). Fuzzy Approaches to Distribution Energy Losses Calculation. Acta Electrotechnica et Informatica, 5 (2), 29–35.
- Haupt, R. L., Haupt, S. E. (2003). Practical Genetic Algorithms. John Wiley Sons, 253. doi: 10.1002/0471671746
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 Natalia Grigorieva, Lubov Dobrovolska, Dmitry Sobchuk, Viktor Shabaykovych, Mykola Romaniuk
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.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.