- Power System Optimization and Stability
- Smart Grid Security and Resilience
- Power System Reliability and Maintenance
- Power Systems Fault Detection
- Optimal Power Flow Distribution
- Energy Load and Power Forecasting
- Electric Power System Optimization
- Smart Grid Energy Management
- Microgrid Control and Optimization
- Industrial Engineering and Technologies
- HVDC Systems and Fault Protection
- Vibration and Dynamic Analysis
- Electric Power Systems and Control
- Computational Physics and Python Applications
- Electric Vehicles and Infrastructure
- High-Voltage Power Transmission Systems
- Economic and Technological Systems Analysis
- Model Reduction and Neural Networks
- Advanced Research in Systems and Signal Processing
- Advanced DC-DC Converters
- Power Systems and Renewable Energy
- Engineering Education and Technology
- Integrated Energy Systems Optimization
- Legal and Policy Issues
- Engineering Diagnostics and Reliability
Melentiev Energy Systems Institute
2013-2023
Russian Academy of Sciences
2013-2020
Irkutsk National Research Technical University
2015-2018
Hohai University
2018
Siberian Branch of the Russian Academy of Sciences
2014-2015
Czech Academy of Sciences, Institute of Information Theory and Automation
2010
Energy storage systems will play a key role in the power system of twenty first century considering large penetrations variable renewable energy, growth transport electrification and decentralisation heating loads. Therefore reliable real time methods to optimise energy storage, demand response generation are vital for operations. This paper presents concise review battery an example modelling applications second details adaptive approach solve this load levelling problem with storage. A...
Tourism development in ecologically vulnerable areas like the lake Baikal region Eastern Siberia is a challenging problem. To this end, dynamical models of AC/DC hybrid isolated power system consisting four grids with renewable generation units and energy storage systems are proposed using advanced methods based on deep reinforcement learning integral equations. First, wind solar irradiance potential several sites Baikal’s banks analyzed as well electric load function climatic conditions....
One of the most promising approaches for complex technical systems analysis employs ensemble methods classification. Ensemble enable a reliable decision rules construction feature space classification in presence many possible states system. In this paper novel techniques based on trees are used to evaluate power system reliability. work hybrid approach random forests models and boosting model is proposed. Such can be applied predict interaction increasing renewable power, storage devices...
In the case of microgrid (MG) systems, choice right configuration plays a vital role to meet grid/load necessities when integrating low voltage, non-linear and highly sensitive (to environmental conditions) power sources such as solar PV modules, batteries supercapacitors (SCs), etc. MG appropriate type converters in any application can have significant impact on optimum performance. Numerous architectures been proposed for integration various energy achieve A large number research articles...
Recent blackouts in the USA, Europe and Russian Federation have clearly demonstrated that secure operation of large interconnected power systems cannot be achieved without full understanding system behavior during abnormal emergency conditions. Current practice managing separate parts knowledge `full picture' will lead to even greater blackouts. This paper proposes a novel approach monitoring control with goal identification potential voltage instability problems before they major The...
This paper proposes a controllably inductive power filtering (CIPF) method to improve the quality of shipboard system (SPS). The main circuit topology for implementing CIPF in SPS is presented, which contains rectifier transformer integrated with linear reactors, fully tuned branches, and voltage-source inverter. characteristic parameters reactors are investigated detail by theoretical analysis. Furthermore, mathematical model an equivalent established reveal mechanism harmonic suppression...
The paper presents a control system based on the multi-agent technique. coordinates different discrete and continuous devices during post-disturbance period in order to prevent voltage collapse of whole system. model test power was simulated by Matlab/PSAT software. Multi-agent (MAS) has been implemented Java language using JADE (Java agent development framework) package. efficiency proposed technique proved numerical simulations. MAS software allows use complex routines as well modeling...
A majority of recent large-scale blackouts have been the consequence instabilities characterized by sudden voltage collapse phenomena. This paper presents a method for instability monitoring in power system with hybrid artificial neural network which consist multilayer perceptron and Kohonen network. The proposed has couple following functions: is used to classify operating state; output patterns are as inputs train identification alarm states that dangerous security. approach targeting...
The recent computing and communications technologies have made possible implementation of different advanced techniques for power system steady post- emergency operating conditions control. Multi-agent systems (MAS) is one these techniques. paper presents an control based on multi-agent technique. able to find a coordinated action (load shedding, generation change) prevent the violation voltage stability. model test was simulated in Matlab/PSAT software. has been implemented Java language...
Voltage collapse is a critical problem that impacts power system operational security. Timely and accurate assessment of voltage security necessary to detect alarm states in order prevent large-scale blackout. This paper presents an on-line scheme using periodically updated random forest-based decision trees. We demonstrated the proposed method on modified 53-bus IEEE system. Results are presented discussed.
This paper addresses early on-line detection of inter-area electro-mechanical oscillations in power systems using dynamic data such as currents, voltages and angle differences measured across transmission lines real time. The main objective is to give the operator qualitative information regarding stability margins. In our approach, observed signal modeled with non-stationary second order autoregressive model. Bayesian estimation system based on forgetting approach. margins are obtained...
With rapidly increasing complexity of power grids in Europe, North America and Asia, liberalization electricity markets penetration renewable energy, the risk large-scale emergencies blackouts increases. This paper proposes a novel approach for development software modelling decentralized intelligent systems security monitoring control systems. The innovation here is to joint use modern computing environments - MATLAB, R Java Agent Development Framework platform. proposed system was tested...
Powerful variable frequency drives (VFD) are becoming more widely used in power systems. However, there only a few works addressed to VFD motor dynamics that suitable for large-scale system stability studies. The paper proposes fundamental simplified model of the VFD, which provides an adequate modeling study electromechanical transients Its implementation was carried out Power System Toolbox (PST), open source software available both scientific and commercial purposes. complemented by...
Due to the impacts of wind speed, direction, temperature and pressure, it is uncertain nonlinear for power forecasting. To address these problems, this paper proposes a short-time forecasting method based on T-S fuzzy model, which does not rely large amount historical data can linearize complex process obtain accurate results. In method, main affecting factors are selected by means correlation analysis prediction. Then, antecedent consequent parameters model identified c-means (FCM)...
Solid state transformer (SST) has the advantage of small size, high power density and low noise, which made it possible to use SST in shipboard system (SPS). Due existence various complex loads poor working conditions, voltage instability harmonic problems are caused inevitably SPS. Amid at these problems, a new modular multilevel type (MMC-SST) based topology SPS is proposed, can effectively improve DC bus stability quality. First, MMC-SST analyzed. Then, control strategy MMC discussed with...
The adaptive emergency control concept is based on realization of a tradeoff between preventive and by combining actions. paper proposes to complement the existing strategies predictive strategy - control, which implies identification emergency, until has occurred. In this presented smart voltage stability assessment (VSA) for techniques basis artificial neural network methodology. main idea VSA here creation model, self-organized Kohonen map SOM that will be able perform monitoring...
The objective trends in electric power systems (EPSs) call for prompter and more adequate response of control systems. New smart measurement, communication tools, information computer technologies can be used to improve EPS controllability. distinctive features the Unified Energy System (UES) Russia are discussed current emergency system is presented paper. A modern approach monitoring, forecasting suggested. Some artificial intelligence applications development UES presented.
Modern large-scale electrical power systems face serious stability threats in the form of low-frequency oscillations. Based on recently proposed Lyapunov modal analysis framework, this study proposes a method for estimating location and structure inter-area oscillations as well their interactions graph an system. This combines known approaches spectral decomposition functions. In contrast to conventional analysis, indicators that consider energy voltage disturbances accumulated over time are...