Dmitry Efimov

Smart Technologies in Emergency Control of Russia's Unified Energy System

The objective trends in electric power systems (EPSs) call for prompter and more adequate response of control systems. New smart measurement, communication and control tools, information and computer technologies can be used to improve EPS controllability. The distinctive features of the Unified Energy System (UES) of Russia are discussed and the current emergency control system is presented in the paper. A modern approach to monitoring, forecasting and control is suggested. Some artificial intelligence applications for development of emergency control in the UES of Russia are presented.

Wide Area Protection

Emergency control, including emergency operation dispatching and automatic emergency control that provides reliability and survivability of the electric power grids plays an important part in controlling the operating conditions of large Electric Power Systems (EPS)s, as introduced in the previous chapter. Emergency control is performed by the technological (dispatching and automatic) control systems that include the automatic systems of voltage, frequency and capacity regulation, basic automatic systems of EPS elements, relay protection and automatic line control, system emergency control.

Coordination of Electric Power System Emergency Control Using Artificial Neural Network

Abstract The paper describes different principles of emergency control organization in electric power systems. Use of the artificial neural network is considered to form coordinated emergency control actions. The presented way is illustrated on an example of the Irkutsk regional electric power system.

Intelligent control and protection in the Russian electric power system

Abstract The chapter presents the following contributions: (1) a general overview of an intelligent electric power system with an active and adaptive network (IESAAN) as the Russian vision of a smart grid, its technological platform, and control system; (2) state estimation (SE) techniques as informational support of the IESAAN control including SE with phasor measurements use, FACTS modeling in SE applications, dynamic SE, and cyber-physical security issues of SE; (3) intelligent operation and smart emergency protection in Russia including requirements for new protection systems; a novel system of monitoring, forecasting, and control of electric power system (EPS); artificial intelligence applications in EPS such as a forecast of state variables based on dynamic SE and hybrid data-driven approaches; a total transfer capability estimation method; an automatic decision tree-based system for online voltage security control; a multiagent coordination of emergency control devices; and an intelligent system for preventing large-scale emergencies; (4) a description of smart grid territorial clusters in the interconnected power systems of Russia.

Innovative Technologies for Operation and Emergency Control in Electric Power Systems of Russia

Abstract Operation and emergency control including dispatching and automatic control procedures and devices that provide reliability and survivability of electric power system plays an important role in the control of operating conditions in the Unified Energy System (UES) of Russia. This control system is rather developed and even now has elements of the Smart Grid ideology due to its current adaptability, optimality and intelligence. The authors present current operation and emergency control system in the UES of Russia and suggest a modern approach to monitoring, forecasting and control. Some advanced methods and tools for development of dispatching and automatic control in electric power system are discussed. This work was supported by the grant of Leading Scientific School of the Russian Federation #1507.2012.8.

Lyapunov-based Small Signal Analysis for Power Systems of Russia

Abstract A new mathematical general approach has been suggested to carry out small signals analysis of power systems by computing gramians spectral expansion in time and frequency domains. The gramians expansions are bilinear and quadratic forms for sequences of Faddeev matrices, generated by resolvents of the original matrices in the Lyapunov equation. A new tool for assessment of power system stability degree in small signals has been suggested. It is shown, that Frobenius norm of the system gramian may be considered as an index of the power system vicinity to stability boundary in small signals.

Smart Emergency Control in Electric Power Systems

Abstract The objective trends in electric power systems (EPSs) are discussed. New measurement, communication and control tools, information and computer technologies as good possibilities for improving EPS controllability are considered. Current emergency control system in Russia is presented. Modern approach for monitoring, forecasting and control is suggested. Some artificial intelligence applications for development of automatic emergency control in EPS are discussed.