COMPARATIVE EVALUATION OF ALTERNATIVES OF DISTRIBUTED GENERATION APPLICATION CONSIDERING MODE OF OPERATION CHARACTERISTICS AND UNCERTAINTY OF INFORMATION

Автор(и)

DOI:

https://doi.org/10.20535/1813-5420.3.2019.196376

Ключові слова:

uncertainty of information, distributed generation, multicriteria comparison of alternatives

Анотація

The estimation of influence of the distributed generation on such characteristics of a distribution network mode of operation as losses of electric energy, voltage drops and reliability of power supply are considered. These factors should be taking into account in the process of comparing different alternatives of generating sources integration into the network. It is shown that in the distribution networks an objective assessment of the mentioned above mode of operation characteristics is impossible without taking into consideration the uncertainty of information and ways of solving this problem are proposed. Methods have been developed for adequately taking into account the actual level of information uncertainty for determining of electrical loads and output power of alternative sources distributed generation, modeling of distribution network and assessment of their main indicators. The universal approach to determine the load flow in distribution networks with different levels of information uncertainty, including fuzzy estimates of electrical loads and output capacity of distributed generation sources is developed. An algorithm for multicriteria decision-making, taking into account the uncertainty of the considered criteria, their different physical nature and dimension is presented. Implementation of the results obtained in this work will improve the integrated efficiency of modern distribution networks with distributed generation sources connected to them.

Посилання

Zharkyn А.F., Popov V.A., Yarmoliuk О.S. Certificate of registration of copyright to a work «Considering the factor of uncertainty in modeling the power output of wind power plants». No 52665; stated 21.10.2013; registered 19.12.2013. (Ukr.)

Kuznetsov М.P. Methods of forecasting electric power generation by wind power plants. Vidnovlyuvana enerhetyka. 2010. No 3. Pp. 42–48. (Ukr.)

Popov V.A., Yarmoliuk О.S. Heuristic algorithm for modeling the integrated distribution system modes of operation considering initial information uncertainty. Pratsi Instytutu elektrodynamiky Natsionalnoi Akademii Nauk Ukrainy. 2012. Spetsvyp. Рp. 40–46. (Ukr.)

Kozyrskyi V.V., Tugai Y.І., Bоdunov V.М., Gai О.V. Integration of renewable energy sources into distributive electric networks of rural regions. Tekhnichna elektrodynamika. 2011. No 5. Pp. 63–67. (Ukr.)

Kauffmann A., Gupta M.M. Introduction to Fuzzy Arithmetic: Theory and Applications. New York: Van Nostrand Reinhold, 1991. 361 p.

Yahiaeva G. Fuzzy sets and neural networks. Moskow: Binom, 2006. 316 p. (Rus.)

Shih-Hua W., Shyi-Ming C. Fuzzy risk analysis based on interval-valued fuzzy numbers. Expert Systems with Applications. 2009. Vol. 36, is. 2. Рр. 2285–2299.

Zharkyn А.F., Popov V.A., Sakhrahard S., Zamkovoi P.A., Spodynskaia A.V. Multicriteria assessment of alternative variants of integration of distributed generation sources into distribution networks. Elektronnoe modelyrovanye. 2016. No 3. Pp. 99–111. (Rus.)

Hwang C.L., Yoon К. Multiple Attribute Decision Making: Methods and Applications. A State of Art Surwey. Berlin, Heidelberg, New York: Springer Verlag, 1981. 259 p.

Zimmerman H.J. Fuzzy set theory and its application. Boston, Dordrecht, London: Kluwer Academic Publishers, 1991. 479 р.

Mahdavi І., Heidarzade А., Sadeghpour-Gildeh В., Mahdavi-Amiri N. A general fuzzy TOPSIS model in multiple criteria decision making. The International Journal of Advanced Manufacturing Technology. 2009. Vol. 45, is. 3–4. Рр. 406–420.

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Опубліковано

2020-02-21

Номер

Розділ

ENERGY SYSTEMS AND COMPLEXES