[project name=”Heat Transfer and Climate Control Models” img=”2019/11/projects-climate-control.jpg” url=”en/projects-climate-control-2/”]
Nowadays manual climate control is widespread in residential, office and public spaces (opening/closing of the window, on/off heater), largely due to the low prevalence of automatic control devices. Public spaces claim high demands on air quality (e.g. hospitals, kindergartens), energy efficiency (hypermarkets, shopping malls) and are equipped with the necessary sensors and devices, but usually all devices are controlled independently. Smart climate devices are gradually entering the mass market and gaining popularity.
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[project name=”Intelligent Non-Intrusive Load Monitoring” img=”2019/11/projects-intelligent-analysis.jpg” url=”en/projects-intelligent-analysis-2/”]
Energy disaggregation is a set of technologies for determining the operating modes of a group of electrical appliances by high-frequency (≥ 30 kHz) vector measurements or measurements of current and voltage oscillograms at a single point in the network ( smartmeter). Potentially, these technologies make it possible to substantially reduce the cost of commercial electricity metering systems, energy audit and energy saving projects by reducing the cost of measuring and communication equipment and commissioning works.
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[project name=”Multiagent Models of Load Prediction” img=”2019/11/projects-consumption-prediction.jpg” url=”en/projects-consumption-prediction-2/”]
A major role in problems of operational, medium-term and strategic planning in power systems belongs to forecasts of the dynamics of main system state parameters. One of the most important parameters is the energy consumption (load) of an individual consumer or groups of consumers of different sizes.
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[project name=”Consumer Preferences Analysis and Energy Saving” img=”2019/11/projects-consumer-preferences.jpg” url=”en/projects-consumer-preferences-2/”]
An impressive application of artificial intelligence and machine learning methods was the technology of “smart” environments (“smart” home, office, city), which allows you to automatically or interactively control the living environment. Global technology leaders are already bringing home automation systems (Amazon Alexa, Google Home, Samsung Smartthings, Facebook Jarvis, Hitachi HEMS, Honeywell Z-Wave) to the market, which, according to McKinsey, exceeded $29 billion in 2017. However, existing approaches limit the ability to control demand, as price signals are not perceived by consumers using home automation systems.
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[project name=”Mathematical and Simulation Models of Electricity Markets” img=”2019/11/projects-energy-markets.jpg” url=”en/projects-energy-markets-2/”]
In order to form an effective market policy and avoid costly mistakes in improving the electricity market, a methodology is required to test market mechanisms in a laboratory environment. An important aspect is the analysis of the manipulation of mechanisms, i.e. the ability of market participants to benefit from the reporting of inaccurate information. Analysis of the manipulability and search for optimal mechanisms requires the use of game theory methods and mechanism design.
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[project name=”Management of Stability of Power Systems with Distributed Generation” img=”2019/11/projects-network-stability.jpg” url=”en/projects-network-stability-2/”]
Real-time control of distributed generation is not a problem, although it requires less human involvement in the management of generators and more fully automated control. However, the integration of distributed power into the backbone grid poses problems related to the dynamic interaction of main grid generators with high inertia with distributed generation, including RES, which have low inertia. As a result of such interaction, there are dangerous low-stable fluctuations, which can lead to the failure of technological equipment of consumers, or electrical equipment in the main network, as well as the development of cascade failure. A new task of monitoring the stability stock for main power grids arises.
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[project name=”State Prediction of Electromechanical Systems” img=”2019/11/projects-predictive-analysis.jpg” url=”en/projects-predictive-analysis-2/”]
Reliability of energy supply to electricity consumers is one of the two most important criteria of electricity quality. In the energy sector, there are no universal methods of solving problems of reliability analysis. An important part of these tasks is the simulation of failures of lines, generators, transformers, switchgear. The development of IT has led to the appearance of virtual failure analyzers, which form a reference (virtual) mathematical model of the functioning of the EES in normal mode, as well as the current mathematical model, which can be restored from the data of state measurements in such analyzers measured inconsistency between the parameters of the reference and the real system, which allows you to diagnose parametric failures.
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[project name=”Algorithms for Grid Topology Optimization and Expansion Planning” img=”2019/11/projects-optimization-and-planning.jpg” url=”en/projects-optimization-and-planning-2/”]
The purpose of the development of the investment program of the UES of Russia is to ensure the reliability and quality of energy supply, i.e. only technical criteria are used to evaluate investment projects. Taking into account the price signals of the wholesale market in the development of the investment program will increase its efficiency.
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[project name=”Information Security of Digital Electric Networks” img=”2019/11/projects-security.jpg” url=”en/projects-security-2/”]
With the adoption of the Federal Law “On the Safety of Critical Information Infrastructure of the Russian Federation”, the responsibility of the owners and proprietors of power plants for ensuring their information security (IS) as significant objects of critical information infrastructure has increased dramatically. First of all, it is a problem of assessment of potential IS risks arising from the impact of computer attacks on the information technology infrastructure of the power plant, and management of these risks. It seems expedient to develop a number of intelligent IS risk management technologies oriented to the use of EES in the EMS and taking into account their peculiarities as significant objects of the critical information infrastructure of the Russian Federation.
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[project name=”Improving LPWAN Bandwidth and Energy Efficiency” img=”2019/11/projects-lpwan-capacity.jpg” url=”en/projects-lpwan-capacity-2/”]
Implementation of the IoT concept is impossible without establishing reliable communication channels between the measurement and/or control periphery (sensors, controls) and application servers. Among the variety of types of connected peripheral devices in a special class are wireless stand-alone devices, the distinctive features of which are battery power and connection to the higher infrastructure by means of energy-efficient networks of long range (low power wide area network, LPWAN).
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