Optimization of industrial power-supply system during its reconstruction
DOI:
https://doi.org/10.15587/1729-4061.2013.16443Keywords:
power-supply system, reconstruction, multicriteriality, optimization, vagueness (uncertainty)Abstract
As a result of economic situation changes a problem of selecting the optimal solution for industrial enterprise power-supply system reconstruction has appeared. The solution is complicated by multicriteriality, vagueness of source information, nonlinearity and relatively great number of alternatives.
The vagueness of source information is solved by developing a fuzzy mathematical model of technical and economic evaluation of power-supply system efficiency indexes, which are used as objective functions.
Genetic algorithm has been applied for selecting optimal solutions.
The research has been carried out by the example of power-supply system of a particular enterprise. As a result, three optimal solutions for different levels of capital costs have been developed. The first solution allows electric power technological losses reduction and safety increase by 5 times, although it requires additional investments. The second solution allows electric power technological losses reduction by 5.8 times and safety increase by 2.3 times, herewith capital costs may be partially compensated by selling released equipment. The third solution ensures electric power technological losses reduction by 4.1 times and safety increase by 2.3 times without additional capital costs. The third variant is more preferable for the example considered.
Fuzzy values of technical and economic indexes for optimal solutions allow assessing the risks of decision-taking.
References
- Черемисин, Н. М. Решение задач электроэнергетики в условиях неопределенности целей [Текст] / Н. М. Черемисин, В. И. Романченко // Вісник ХДТУСГ. Проблеми енергозабезпечення та енергозбереження в АПК України. – Х: ХДТУСГ, 2004. – Вип. 27. – Т. 1. – С. 18 – 25.
- Тимчук, С. О. Методика побудови математичної моделі системи електропостачання в нечіткій формі [Текст] / С. О. Тимчук, М. С. Грабовська // Вісник ХНТУСГ. Проблеми енергозабезпечення та енергозбереження в АПК України. – Х: ХНТУСГ, 2009. – Вип. 87. – С. 81 – 83.
- Тимчук, С. А. Нечеткая математическая модель расчета недоотпуска электроэнергии в разветвленной секционированной электрической сети 10 кВ [Текст] / С. А. Тимчук, М. А. Сиротенко, И. А. Фурман // Інформаційно-керуючі системи на залізничному транспорті. – 2013. – №1. – С. 54-57.
- Орловский, С. А. Проблемы принятия решений при нечеткой исходной информации [Текст] / С. А. Орловский. – М.: Наука, 1981. – 208 с.
- Кофман, А. Введение в теорию нечетких множеств [Текст]: пер. с франц. / А. Кофман. – М.: Радио и связь, 1982. – 432 с.
- Тимчук, С. А. Метод сокращения множества допустимых альтернатив в оптимизационных задачах проектирования и реконструкции разветвленной распределительной электросети при нечетко заданных целях [Текст] / С. А. Тимчук, Н. М. Черемисин // Сб. трудов 6 Всеросс. науч.-тех. конф. Енергетика: управление, качество и эффективность использования энергоресурсов. - Благовещенск: Ам.ГУ, 2011. – Т. 1. – С. 167-171.
- Тимчук, С. А. Методика принятия решения при выборе и анализе структуры распределительных сетей при нечетко заданной цели [Текст] / С. А. Тимчук, Н. М. Черемисин, М. С. Грабовская // Энергетика и электрификация. – 2007. – №8. – С. 45 – 51.
- Тимчук, С. А. Метод поиска множества недоминируемых решений в нечеткой форме [Текст] / С. А. Тимчук // Обчислювальний інтелект (результати, проблеми, перспективи): Матеріали 1-ї Міжнар. наук.-техн. Конф. – Черкаси: Маклаут, 2011. – С. 129.
- Тимчук, С.О. Структурна оптимізація розподільчих електромереж в умовах невизначеності [Текст] / С. О. Тимчук // Технологический аудит и резервы производства. – 2012. – №6/1(8). – С.37-38.
- Zadeh, L. A. Fuzzy sets / Lotfy Zadeh // Information and Control, 1965. – Vol. 8. – Р. 338 – 353.
- Cheremisin, N. M., Romanchenko, V. I. (2004). Reshenie zadach elektroenergetiki v usloviyakh neopredelennosty celey. Visnyk KHDTUSG. Problemy energozabezpechennya ta energozberezhennya v APK Ukrainy, 27, Vol. 1, 18 – 25.
- Tymchuk, S. О., Grabovska, M. S. (2009). Metodika pobudovy matematychnoi modeli systemy elektropostachannya v nechitkiy formi. Visnyk KHNTUSG. Problemy energozabezpechennya ta energozberezhennya v APK Ukrainy, 87, 81 – 83.
- Tymchuk, S. A., Sirotenko, M. A., Furman, I. A. (2013). Nechetkaya matematicheskaya model rascheta nedootpuska elektroenergii v razvetvlennoy sektsionirovannoy elektroseti 10 kV. Informatsiyno – keruyuchi systemy na zaliznychnomu transporti, 1, 54-57.
- Orlovskiy, S. А. (1981). Problemy prinyatiya resheniy pri nechetko ishodnoy informacii. Moscow:Nauka, 208.
- Kofman, A. (1982). Vvedeniye v teoriyu nechetkikh mnozhestv.
- Moscow: Padio i svyaz, 432.
- Tymchuk, S. О., Cheremisin N. M. (2011). Metod sokrashcheniya mnozhestva dopustimykh alternativ v optimizacionnykh zadachakh proektirovaniya i rekonstrukcii razvetvlennoy raspredelitelnoy elektroseti pri nechetko zadannykh celyakh. Sb. trudov 6 Vceross. nauch.-teh. konf. Energetika: upravlenie, kachestvo i effektivnoct ispolzovanija energoresursov. Blagoveshchensk, 1, 167-171.
- Tymchuk, S. О., Cheremisin, N. M., Grabovskaya, M. S. (2007). Metodika prinyatiya resheniya pri vybore i analize struktury raspredelitelnykh setey pry nechetko zadannoy celi. Energetika i elektrifikaciya, 8, 45 – 51.
- Tymchuk, S. О. (2011). Metod poiska mnozhestva nedominiruemykh resheniy v nechetkoy forme. Obchysluvalny intelekt (rezultaty, problemy, perspektyvy): Materialy 1-i Mizhnar. nauk.-tekhn. Konf. Cherkasy, 129.
- Tymchuk, S. О. (2012) Strukturna optymizaciya rozpodilchykh elektromerezh v umovakh nevyznachenosti. Tehnologicheskiy audit i rezervy proizvodstva, 6/1(8), 37-38.
- Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338 — 353.
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