Gachenko A.S., Hmelnov A.E., Abasov N.V., Osipchuk E.N. Technology of flood water zones moddeling in downstream pool of hydroelectric power station at strong flow through its water abstraction points // CEUR Workshop Proceedings. Vol.2033. 2017. P.252-256. The article provides a technology for estimating of potential flooding areas in the lower pool of the Irkutsk HPP at high mandatory water flow expenses through its water abstraction points, that probability has increased significantly since 2001...
Теги: coastline , digital relief , expenditure , flooding , morfostvor , morphing , abstracting , data handling , floods , flow of water , hydroelectric power , hydroelectric power plants , lakes , oil well flooding , monitoringKolosok I., Korkina E. Development of a State Estimation Methodology to Improve the Quality of Control of the Boundary Areas of the Neighboring Smart Transmission Grids // IFAC-PapersOnLine. Vol.49. No.27. 2016. P.461-466. DOI: 10.1016/j.ifacol.2016.10.776 The reliable failure-free operation of electric power systems requires valid initial data. Technical failures or impact of cyber-attacks can cause partial loss or corruption of these data. If this happens at the boundary of the neighboring electric...
Теги: boundary conditions , crime , electric power system measurement , electric power systems , monitoring , state estimation , cyber-attacks , estimation methodologies , failure-free operations , quality of controVoropai N., Kurbatsky V., Tomin N., Panasetsky D. Improving power system monitoring and control in Russian modern megalopolises // Proceedings of the 18th Mediterranean Electrotechnical Conference: Intelligent and Efficient Technologies and Services for the Citizen, MELECON 2016. 1 p. ISBN (print): 9 781 509 . DOI: 10.1109/MELCON....
Теги: artificial intelligence , control , disaster prevention , disasters , electric power system control , intelligent systems , monitoring , standby power systems , transients , disaster management , feasibility stPanasetsky D., Tomin N., Voropai N., Kurbatsky V., Zhukov A., Sidorov D. Development of software for modelling decentralized intelligent systems for security monitoring and control in power systems // Proc. of Int. Conf. IEEE Power Tech, Eindhoven, Netherlands. 2015. 1 p. ISBN (print): 9781479976. DOI: 10.1109/PTC.2015.7232553 With rapidly increasing complexity of power grids in Europe, North America and ...
Теги: artificial intelligence , electric power system control , electric power system security , intelligent agents , intelligent systems , learning systems , matlab , monitoring , multi agent systems , power contro
