Поиск по сайту

active consumer adaptive control systems agent approach artificial intelligence autonomous power-supply systems azerbaijan back pressures blackou boilers circuit simulation cogeneration plants combustion products complex industries consumer behavior control systems control theory copper smelting crime critical problems cyber security demand response demand side managements determination methods diesel generators distributed power generation el electric load management electric power electric power plant loads electric power system security electric power systems electric power systems ( electric power transmission networks electric utilities electricity networks emergency conditions end-user applications energy demand energy demands energy policy energy security energy systems fuels gas exports heat and electricity hydraulic equipment hydraulic machinery hydrogen energy hydrogen infrastructure inp learning algorithms learning systems low voltage distribution network medium term modeling models natural gasoline plants network security numerical methods observability optimizati or overhead lines pattern recognition phase transitions pollution power control power quality price primary energy resources quality control regional levels reliability analysis security analysis security threats smart grid smart meters smart power grids software agents solar energy state estimation statistical mechanics steam strategic threat thermodynamics timin voltage distribution measurement waste heat

   
Дополнительные параметры поиска

Результаты поиска ( Отсортировано по релевантности | Сортировать по дате )


Determination of parameters of adaptive law for the control of an off-grid power system

Suslov K., Solodusha S., Gerasimov D. Determination of parameters of adaptive law for the control of an off-grid power system // SMARTGREENS 2016 - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems. 2016. P.129-135. ISBN (print): 9 789 897 . The paper presents the results of a study of an off-grid electric power system that contains typical generation and load devices. The aim of the study is to develop an algorithm for selecting the optimal parameters of adaptive...

Теги: adaptive control systems , control systems , control theory , distributed power generation , electric power systems , electric power transmission networks , power quality , quality control , smart power grids
Раздел: ИСЭМ СО РАН
Integral models for control of smart power networks

Suslov K., Solodusha S., Gerasimov D. Integral models for control of smart power networks // IFAC-PapersOnLine. Vol.49. No.27. 2016. P.439-444. DOI: 10.1016/j.ifacol.2016.10.772 The presence of a great number of technical facilities that form a base of the intelligent network in the modern electric power systems require a principally new approach to the research into the dynamic operating conditions of these systems. Currently consumers impose higher requirements for the quality of electricity and...

Теги: control systems , distributed power generation , electric power systems , electric power transmission networks , power control , power quality , quality control , smart power grids , emergency conditions , inp
Раздел: ИСЭМ СО РАН
Demand response for different power supply systems

Stepanov V., Suslov K., Stashkevich E., Styczynski Z., Voropai N. Demand response for different power supply systems // IEEE PES Innovative Smart Grid Technologies Conference Europe. 2014. 1 p. DOI: 10.1109/ISGTEurope.2014.7028967 Daily electric load schedules of electric power systems (EPS) are derived from the graphs of individual consumers, who are generally unbalanced. Changing the schedules of electrical loads (power consumption) gives consumers the opportunity to significantly adjust the total...

Теги: copper smelting , electric load management , electric power plant loads , electric power systems , electric utilities , smart power grids , demand response , demand side managements , electric power systems (
Раздел: ИСЭМ СО РАН


Телефоны

основной    +7(3952) 500-646
приемная    +7(3952) 42-47-00
факс     +7(3952) 42-67-96
Смотреть справочник