title: ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ ÐÐ°Ð¹ÐµÑÐ¾Ð²ÑÐºÐ¾Ð¹ ÑÐµÑÐ¸ Ð´Ð»Ñ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÐºÐ¾Ð¼Ð±Ð¸Ð½Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ð¾Ð¹ Ð°Ð²ÑÐ¾Ð½Ð¾Ð¼Ð½Ð¾Ð³Ð¾ ÑÐ»ÐµÐºÑÑÐ¾ÑÐ½Ð°Ð±Ð¶ÐµÐ½Ð¸Ñ
title: Ð¼Ð°Ð³Ð¸ÑÑÐµÑÑÐºÐ°Ñ Ð´Ð¸ÑÑÐµÑÑÐ°ÑÐ¸Ñ
titleType: Subtitle
Creators: name: Ð¯Ð³Ð°ÑÐ°ÑÐ¾Ð², ÐÐ°Ð¼Ð¸Ð»Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2016
Subjects: Ð­Ð»ÐµÐºÑÑÐ¾ÑÐ½ÐµÑÐ³ÐµÑÐ¸ÐºÐ°
ÐÐ¾Ð·Ð¾Ð±Ð½Ð¾Ð²Ð»ÑÐµÐ¼ÑÐµ Ð¸ÑÑÐ¾ÑÐ½Ð¸ÐºÐ¸ ÑÐ½ÐµÑÐ³Ð¸Ð¸
ÐÑÑÐ¸ÑÐ»Ð¸ÑÐµÐ»ÑÐ½ÑÐµ ÑÐµÑÐ¸
Ð°Ð²ÑÐ¾Ð½Ð¾Ð¼Ð½Ð¾Ðµ ÑÐ»ÐµÐºÑÑÐ¾ÑÐ½Ð°Ð±Ð¶ÐµÐ½Ð¸Ðµ
ÐÐ°Ð¹ÐµÑÐ¾Ð²ÑÐºÐ¸Ðµ ÑÐµÑÐ¸
ÐºÐ¾Ð¼Ð±Ð¸Ð½Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ
autonomous renewable energy
Bayesian networks
combined systems

description: ÐÐºÑÑÐ°Ð»ÑÐ½Ð¾ÑÑÑ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð·Ð°ÐºÐ»ÑÑÐ°ÐµÑÑÑ Ð² Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ð¸ Ð¼ÑÐ³ÐºÐ¸Ñ Ð²ÑÑÐ¸ÑÐ»ÐµÐ½Ð¸Ð¹ Ð¿ÑÐ¸ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ð¸ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð±Ð»Ð¾ÐºÐ° ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÐºÐ¾Ð¼Ð±Ð¸Ð½Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð°Ð²ÑÐ¾Ð½Ð¾Ð¼Ð½Ð¾Ð³Ð¾ ÑÐ»ÐµÐºÑÑÐ¾ÑÐ½Ð°Ð±Ð¶ÐµÐ½Ð¸Ñ. ÐÑÐ»Ð° Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð° Ð¼Ð¾Ð´ÐµÐ»Ñ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÐÐ°Ð¹ÐµÑÐ¾Ð²ÑÐºÐ¸Ñ ÑÐµÑÐµÐ¹ Ð´Ð¾Ð²ÐµÑÐ¸Ñ, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÑÐ¸ÑÑÐ²Ð°ÑÑ Ð¿ÑÐ¸ÑÐ¸Ð½Ð½Ð¾-ÑÐ»ÐµÐ´ÑÑÐ²ÐµÐ½Ð½ÑÐµ ÑÐ²ÑÐ·Ð¸, Ð½ÐµÐ¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð½Ð¾ÑÑÐ¸ Ð¸ ÑÐ»ÑÑÐ°Ð¹Ð½ÑÐµ ÑÐ°ÐºÑÐ¾ÑÑ (Ð¿Ð¾ÑÑÐ¾ÑÐ½Ð½ÑÐµ Ð¸Ð·Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ ÑÐºÐ¾ÑÐ¾ÑÑÐ¸ Ð²ÐµÑÑÐ°, Ð½ÐµÑÐ°Ð²Ð½Ð¾Ð¼ÐµÑÐ½ÑÐ¹ Ð¿Ð¾ÑÐ¾Ðº ÑÐ¾Ð»Ð½ÐµÑÐ½Ð¾Ð³Ð¾ Ð¸Ð·Ð»ÑÑÐµÐ½Ð¸Ñ Ð¸ Ñ.Ð´.), Ð²Ð¾Ð·Ð½Ð¸ÐºÐ°ÑÑÐ¸Ðµ Ð¿ÑÐ¸ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð¸Ð¸ ÑÐ½ÐµÑÐ³Ð¸Ð¸ Ð¸Ð· Ð°Ð»ÑÑÐµÑÐ½Ð°ÑÐ¸Ð²Ð½ÑÑ Ð¸ÑÑÐ¾ÑÐ½Ð¸ÐºÐ¾Ð². Ð Ð¿ÐµÑÐ²Ð¾Ð¹ Ð³Ð»Ð°Ð²Ðµ Ð¸Ð·Ð»Ð¾Ð¶ÐµÐ½Ð¾ ÑÐµÐºÑÑÐµÐµ ÑÐ¾ÑÑÐ¾ÑÐ½Ð¸Ðµ Ð¸ Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ñ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ ÑÐµÐºÑÐ¾ÑÐ° Ð°Ð»ÑÑÐµÑÐ½Ð°ÑÐ¸Ð²Ð½Ð¾Ð¹ ÑÐ½ÐµÑÐ³ÐµÑÐ¸ÐºÐ¸, Ð¿ÑÐ¸Ð²ÐµÐ´ÐµÐ½Ð¾ ÐºÑÐ°ÑÐºÐ¾Ðµ Ð¾Ð¿Ð¸ÑÐ°Ð½Ð¸Ðµ ÑÐ¸ÑÑÐµÐ¼ Ð°Ð²ÑÐ¾Ð½Ð¾Ð¼Ð½Ð¾Ð³Ð¾ ÑÐ»ÐµÐºÑÑÐ¾ÑÐ½Ð°Ð±Ð¶ÐµÐ½Ð¸Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð²Ð¾Ð·Ð¾Ð±Ð½Ð¾Ð²Ð»ÑÐµÐ¼ÑÑ Ð¸ÑÑÐ¾ÑÐ½Ð¸ÐºÐ¾Ð² ÑÐ½ÐµÑÐ³Ð¸Ð¸. ÐÐ¾Ð½ÑÑÐ¸Ðµ Ð±Ð°Ð¹ÐµÑÐ¾Ð²ÑÐºÐ¸Ñ ÑÐµÑÐµÐ¹ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ð¾ Ð²Ð¾ Ð²ÑÐ¾ÑÐ¾Ð¹ Ð³Ð»Ð°Ð²Ðµ. Ð ÑÑÐµÑÑÐµÐ¹ Ð³Ð»Ð°Ð²Ðµ Ð¾Ð¿Ð¸ÑÐ°Ð½Ð° ÑÐ¾Ð¿Ð¾Ð»Ð¾Ð³Ð¸Ñ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½Ð¾Ð¹ ÐÐ°Ð¹ÐµÑÐ¾Ð²ÑÐºÐ¾Ð¹ ÑÐµÑÐ¸ Ð´Ð¾Ð²ÐµÑÐ¸Ñ Ð´Ð»Ñ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÑÐ½ÐµÑÐ³Ð¾ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ¾Ð¼. Ð Ð·Ð°ÐºÐ»ÑÑÐ¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ Ð³Ð»Ð°Ð²Ðµ Ð¿ÑÐ¸Ð²ÐµÐ´ÐµÐ½Ñ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸ÑÑÐµÐ¼Ñ, Ð¿ÑÐ¾Ð´ÐµÐ¼Ð¾Ð½ÑÑÑÐ¸ÑÐ¾Ð²Ð°Ð²ÑÐ¸Ðµ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ ÑÐ°Ð±Ð¾ÑÑ Ð¼Ð¾Ð´ÐµÐ»Ð¸.
description: The relevance of the master's thesis lies in usage of soft computing methods to control the Autonomous Hybrid Renewable Energy System (HRES). The model of control system based on Bayesian Belief Networks was proposed. It considers cause-and-effect relations, uncertainties and random factors (wind speed, insolation, etc.) in the process of renewable energy production.The present state and future development of renewable energy sector is discussed in the first section. There is also a short description of combined power supply stations. In second section the theory of Bayesian Networks is represented. The third section describes the topology of developed Bayesian Belief Network to control the autonomous HRES. The results of system simulation are presented in the final section.