The authors solve the problem of effective use of energy sources of wind-diesel hybrid power stations for autonomous electric consumers. A new device connecting energy sources has been developed. Universal voltage converter (UVC) allows to connect both of AC and DC sources with a wide range of rated output voltages. UVC can be used as a part of smart grid or SCADA system. The UVC control system automatically determines the type of the connected power source and issues switching commands for consumer circuits. A 30 kVA UVC prototype was created. The article gives a UVC brief description and presents the results of the prototype research.

Keywords: renewable energy sources, wind-diesel hybrid power station, autonomous power supply system, efficiency increase, industrial control system, hybrid inverter, modified inverter, capacitive storage, universal converter, integration device

At the present time in most countries of the world are being actively developed and introduced intelligent technologies necessary for creation of reliable and effective intellectual energy systems. Intellectualization of distributive electrical grids will move energy system to a new level of automation. Evenly distributed electrical grid of hexagonal type was offered. The principle of creation a grids was described, a typical scheme of universal electrical load unit was proposed. The key advantages of the hexagonal network was reviewed. The estimation of the reduction of the level of losses during electricity transportation was made. The increase of the level of reliability, the factors affecting the probability of faultless work were determined. Evenly distributed grids of hexagonal type will build energy system based on Smart Grid and solve existing problems: lower quality of electricity, the shortcomings of the power reserves, high density of electrical loads and high energy losses. Project implementation should be carried out in stages: from pilot project to implementation in big cities.
Work is executed with financial support of Ministry of education and science of the Russian Federation (state contract №14.516.11.0104 from 14.10.2013).  

Keywords: electricity, hexagonal grids, smart grids, distribution grids 10-20 kV, reliability of power supply

The problems concerning the application of neural networks for solving the topical problem of rationing energy consumption educational institutions (EI). A scheme of the neural network approach for determination of the normative costs of electricity and heat EI. In the package Neurosolutions created neural network model of power and heat consumption of classical universities. Advantages of neural networks for solving the problem of rationing

Keywords: standard consumption, energy consumption, educational institutions, artificial neural network