Anastasia G. Rusina

Modes control of Smart Power Grids based on the usage of the innovative method and device of Demand Side Management

In the paper there are considered issues of modeling modes of control of Smart Power Grids based on the usage of the innovative method and device of Demand Side Management.

Forecasting models of power consumption and loading of power systems with features of their functioning in the power market

The forecast of power consumption and loading to serve the major purpose in commercial relations of regional systems with the wholesale power market. The great number of casual and uncertain factors influences to power consumption and predict closely it is impossible. The submitted results allow formulating conditions of trading-monetary relations in the power market for the year-month period. The received results prove necessity of the account of the sizes of risks and errors of models and forecasts. It defines opportunities over a long period of time agreements with Federal Wholesale Market of the power and loading. Forecasting statistical models of power systems loading graph, based on the data statistical analysis and use of regressive models for communication of the parameters describing loading graph are developed. By the example of frequency system influence there are errors that cause change of loading it is rendered.

Methods of operational planning of the deliveries on the power energy wholesale market of Russia

Current work studies the wholesale electricity market of the Russian Federation. By historical standards this market emerged recently. The experience of its work is being accumulated, the problems affecting its efficiency being revealed.

Dynamical demand response method

In this paper authors suggest method of dynamic demand response to consumers of the municipal sector. The electrical grid scheme with adjustments for the application of the dynamic demand response method is described. Results of simulation on Matlab/Simulink are given. Moreover advantages of the method for consumers and energy supply organization are given.

Basics of Technique Evaluation the Use of Hydroelectric Resources in Their Work in EPS

Hydroelectric power stations exert a great influence on distribution of the electric power on regional and, especially in the wholesale electrical power markets in models of the type “water resources – electricity consumption”. In this article outlines some principles of creation a technique of calculations for hydroelectric power stations. We will call model of such type of R-P-L (resources, production, load) of hydroelectric power station. Considering uncertainty of a drain of hydroelectric power station and information difficulties, tasks traditionally is divided into two parts, depending on the planning period – the long-term and short-term modes. In the scheme of use of the R-P-L model there are a lot of features and changes in comparison with the last developments executed for Unified Energy System.

The development of simulation model of innovative technology of AC voltage normalization for introduction into smart grid system

The paper presents research concerning the use of innovative technology of AC voltage normalization in eclectic energy system, based on automatic mode voltage control in immediate proximity to the consumer of electric energy and allowing to improve the processes of Demand Side Management and also to increase statistic stability of electric energy system.

Tasks of optimal performance of hydroelectric in power system

This article describes the basic methods and tasks of short-term optimization of the work of hydroelectric power stations in Siberia, taking into account the characteristics of systems of various types and levels, as well as the functions performed by these systems.

Applying of the electrical equivalent method for multi-objective power flow optimization

The increasing penetration of renewables, distributed generation, smart grid technologies necessitate development of methods well suited for automatic energy management system. There are unit commitment, economic dispatch and optimal power flow among the other relevant tools to find the least-cost operation of available generation resources, minimum real power losses and others under different conditions. At the bottom the optimization issues are multi-objective problems. This paper describes preliminary studding of new approach which provide opportunity to combine multi-objective optimization into single one. This is achieved by electrical nonlinear equivalent of heat/cost/fuel curves for each power unit. Thus, only minimization of power losses can be evaluated in order to reach the multiple objectives. The results obtained for basic examples are presented in this paper.

Application of rank models for structural forecasting

Power system is a complicated object including a large number of structural elements. Rank models allow us to predict the structural properties of the energetics objects. If we imagine the object (system) in a hierarchical structure, where there are nodes that differ in a certain value, it is possible to apply the rank model. Ranks can be set for different structural units: for generation nodes, for concentrated load nodes and large substations. Rank models require less initial information than other static models, easy-to-work, and have acceptable measure of accuracy.