Tomin N.V., Kurbatsky V.G., Sidorov D.N., Zhukov A.V. Machine Learning Techniques for Power System Security Assessment // IFAC-PapersOnLine. Vol.49. No.27. 2016. P.445-450. DOI: 10.1016/j.ifacol.2016.10.773 Modern electricity grids continue to be vulnerable to large-scale blackouts. As all states leading to large-scale blackouts are unique, there is no algorithm to identify pre-emergency states. Moreover, numerical conventional methods are computationally expensive, which makes it difficult to use...
Теги: artificial intelligence , electric power system security , electric power transmission networks , learning algorithms , learning systems , numerical methods , pattern recognition , smart power grids , blackouSuslov 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 gridsSuslov 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 , inpStepanov 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 (
