Keywords
Combined Stochastic Technique
multiple criteria decision making
TOPSIS
VIKOR
VIKOR-kernel відновлювані джерела енергії
розосереджені джерела енергії
комбінований стохастичний метод
багатокритеріальна оптимізація
TOPSIS
VIKOR
VIKOR-ядро
How to Cite
Abstract
To solve the optimization problem of distributed generation (DG) optimal placement Combined Stochastic Technique [5] has been developed. Components of the objective function is standardized and balanced by weight coefficients. The determination
of the latter is proposed to be carried out by an Expert Evaluation Technique (EET). However, such an approach is unfounded. Therefore, the object of this paper is to determine whether the obtained with EET weight coefficients correspond with the problem formulation, according to which peculiarities of both power grid and DG must have equal influence
on the rating of problem solution. To achieve the object optimal problem solution was determined by multi criteria decision making techniques TOPSIS, VIKOR and VIKOR-kernel. Weight coefficients are defined with Information Entropy Weight Method. Obtained results are practically identical to obtained previously. Therefore, weight coefficients were properly determined by an EET. References 9, figures 1, tables 5.
References
Opricovic S., Tzeng G.-H. Extended VIKOR method in comparison with outranking methods. European Journal of Operational Research. 2007. No 178. Pp. 514-529. DOI: https://doi.org/10.1016/j.ejor.2006.01.020
Johnson R.A., Wichern D.W. Applied Multivariate Statistical Analysis. Upper Saddle River, New Jersey: Pearson Prentice Hall, 2007. 773 p.
Kudria S.O. State and perspectives of renewable energy development in Ukraine. Visnyk Natsionalnoi Akademii Nauk Ukrainy. 2015. No 12. Pp. 19-26. (Ukr) URL: http://www.ive.org.ua/wp-content/uploads/Visn_12_2015_6.pdf (Accessed 10.01.2018)
Kyrylenko O.V., Lukianenko L.M., Goncharenko I.S. The problems of efficient introduction of renewable energy sources into power grids. Proceedings of the 17th International Scientific and Practical Conference Renewable Energy and Energy Efficiency in the 21st Century. 29-30 September, 2016. Kyiv, Ukraine. Pp. 130-133. (Ukr)
Kyrylenko O.V., Lukianenko L.M., Goncharenko I.S. Stochastic approach to determination of the distributed generation optimal placement. Tekhnichna Elektrodynamika. 2017. No 1. Pp. 62-70. (Ukr) DOI: https://doi.org/10.15407/techned2017.01.062
Zharkin A.F., Popov V.A., Banuzade Sahragard S., Zamkovoi P.A., Spodynskaia A.V. Multicriteria evaluation of alternative options for the distributed generation sources integration into the distribution networks. Elektronnoe Modelirovanie. 2016. Vol. 38. No 1. Pp. 99-112. (Rus) URL: http://dspace.nbuv.gov.ua/bitstream/handle/123456789/101338/08-Zharkin.pdf (Accessed 10.01.2018)
Romanchenko I.S., Potomkin M.M. VIKOR-kernel method and its using to make a multiple criteria alternatives comparison. Modern Information Technologies in the Sphere of Security and Defence. 2015. No 3 (24). Pp. 103-107. (Ukr) URL: http://nbuv.gov.ua/UJRN/sitsbo_2015_3_19 (Accessed 10.01.2018)
El-Santawy M.F., Ahmed A.N. An Information Entropy Weighting Method Combined to TOPSIS Approach for Ranking Consulting Firms. Life Science Journal. 2012. No 9 (1s). Pp. 147-150. URL: http://www.lifesciencesite.com/lsj/life0901s/023_14628life0901s_147_150.pdf (Accessed 10.01.2018)
Power Systems Test Case Archive of the Department of Electrical Engineering at the University of Washington. URL: http://www.ee.washington.edu/research/pstca/ (Accessed 10.01.2018)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2022 Array