Nikita Tomin

Nikita Tomin
Melentiev Energy Systems Institute · Electric Power Systems

PhD

About

87
Publications
11,310
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623
Citations

Publications

Publications (87)
Article
The virtual power plant (VPP) breaks the geographical restrictions of environment and resource types by virtue of aggregating the distributed energy resources and dispatchable loads. In view of the impact of large-scale energy consumption by users on the operational safety of VPP, based on the existing demand response (DR) researches, this paper ad...
Article
The energy communities based on the integration of microgrids make it possible to gain economic, environmental, technical, and social benefits. The paper aims to propose a unified multi-criteria approach covering both the planning stage and the stage of managing the energy community, in the context of various interests of its participants. Planning...
Article
Full-text available
The increase in the use of converter-interfaced generators (CIGs) in today’s electrical grids will require these generators both to supply power and participate in voltage control and provision of grid stability. At the same time, new possibilities of secondary QU droop control in power grids with a large proportion of CIGs (PV panels, wind generat...
Article
Energy communities is a new, but already successful prosumer model of the local energy systems' construction. It is based on distributed energy sources and the electricity consumers’ flexibility who are the members of the community. In search of the most effective ways to interact within themselves and with the external energy system, local energy...
Conference Paper
With increasing wind penetration, the stability of the power system decreases due to fluctuations in the generated power of wind farms. Distributed siting of wind farms reduces fluctuations in power generation. A method of distributed siting of wind farms based on a genetic algorithm is proposed. The optimization problem uses the target function -...
Article
The problem of the influence of power fluctuations of wind farms due to the variability of the wind speed on the electric power system is considered. With high wind energy penetration, an increase in the operating reserve in electric power systems is required to cover possible sudden power fluctuations. One of the ways to reduce the stochastic natu...
Chapter
This chapter gives the brief introduction to the management of energy in smart grids focusing on the hybrid renewable energy systems, load and generation forecasting, new grids structure, and smart technologies. The classification of smart infrastructure systems and smart energy management systems is provided and discussed with focus on both demand...
Article
Full-text available
The importance of efficient utilization of biomass as renewable energy in terms of global warming and resource shortages are well known and documented. Biomass gasification is a promising power technology especially for decentralized energy systems. Decisive progress has been made in the gasification technologies development during the last decade....
Article
Energy storage systems will play a key role in the power system of the twenty first century considering the large penetrations of variable renewable energy, growth in transport electrification and decentralisation of heating loads. Therefore reliable real time methods to optimise energy storage, demand response and generation are vital for power sy...
Article
Full-text available
Tourism development in ecologically vulnerable areas like the lake Baikal region in Eastern Siberia is a challenging problem. To this end, the dynamical models of AC/DC hybrid isolated power system consisting of four power grids with renewable generation units and energy storage systems are proposed using the advanced methods based on deep reinforc...
Article
Full-text available
Tourism development in ecologically vulnerable areas like the lake Baikal region in Eastern Siberia is a challenging problem. To this end, the dynamical models of AC/DC hybrid isolated power system consisting of four power grids with renewable generation units and energy storage systems are proposed using the advanced methods based on deep reinforc...
Article
Full-text available
The paper proposes a concept of building a digital twin based on the reinforcement learning method. This concept allows implementing an accurate digital model of an electrical network with bidirectional automatic data exchange, used for modeling, optimization, and control. The core of such a model is an agent (potential digital twin). The agent, wh...
Article
Full-text available
The article deals with the problem of the negative impact of wind farms stochastic generation on power grid. One of the ways to reduce the stochasticity of the wind farms generation is their geographically distributed siting. A technique for sizing and distributed siting of wind farms from the standpoint of the influence on the variability of the t...
Article
Modern Energy Power Systems (EPS) are characterized by a rather high share of distributed generation, renewable energy sources (RES) and energy storage systems (ESS) operating under the control of smart devices. For transition to a qualitatively new level of power industry management, the developed countries create Smart Grids. An effect of sudden...
Article
In the paper, we formulate the problem of charging electric vehicles with a time-dependent energy source as a Markov Decision Process (MDP), with states defining the presence of cars, their individual levels of charge as well as the level of available renewable energy and storage devices. We exploit MDPs-based online algorithms such as Monte-Carlo...
Article
Full-text available
Modern power systems are far from immune from voltage collapse, and examples abound over the past decade. This is due to the fact the current generation of automatic emergency and operational Volt/VAr control systems can be ineffective and unreliable for some cases. The artificial intelligence (AI) techniques allow developing new automatic intellig...
Preprint
Energy storage systems will play a key role in the power system of the twenty first century considering the large penetrations of variable renewable energy, growth in transport electrification and decentralisation of heating loads. Therefore reliable real time methods to optimise energy storage, demand response and generation are vital for power sy...
Article
Full-text available
The problem of optimally activating the flexible energy sources (short- and long-term storage capacities) of electricity microgrid is formulated as a sequential decision making problem under uncertainty where, at every time-step, the uncertainty comes from the lack of knowledge about future electricity consumption and weather dependent PV productio...
Article
Full-text available
The state of the art of transient stability and steady-state (small signal) stability in power grids are reviewed. Transient stability concepts are illustrated with simple examples; in particular, we consider two machine learning-based methods for computing region of attraction: ROA produced by Neural Network Lyapunov Function; estimation of the RO...
Article
Full-text available
In modern power systems, a variety of both objects and the tools of control is expected to be much larger than before. As a result, the dynamic properties of these systems are complicated, and the issues of maintaining stability come to the fore. The paper provides a brief overview of the types of stability, including those that, until recently, we...
Article
Full-text available
The paper proposes method and algorithm for obtaining the maximum transmitted power limit in the power system under the voltage stability conditions in case of emergency outages of its elements - power lines and generating sets. The method is based on the analysis of the exaggerated states of the system created by increasing the values of the power...
Article
Full-text available
We propose a suite of intelligent tools based on the integration of methods of agent modeling and machine learning for the improvement of protection systems and emergency automatics. We propose an online approach to the assessment and management of dynamic security of electric power systems (EPS) with the use of a streaming modification of the rand...
Preprint
Year by year control of normal and emergency conditions of up-to-date power systems becomes an increasingly complicated problem. With the increasing complexity the existing control system of power system conditions which includes operative actions of the dispatcher and work of special automatic devices proves to be insufficiently effective more and...
Chapter
Voltage instability is among the main factors causing large-scale blackouts. One of the major objectives of the Control centers is a prompt assessment of voltage stability and possibly self-healing control of electric power systems. The standing alone solutions based on classical approximation methods are known to be redundant and suffer with limit...
Article
Full-text available
The paper proposes to simulate a random variability of the nonlinear load in the form of probabilistic characteristics of the amplitudes of harmonic components of powers. The influence of the variability of distribution of amplitude values of the power harmonics on the load flow in the network, power losses and maximum power transmission in lines i...
Article
Volt-VAr control systems provide the optimal solution with remote automatic or manual control of the capacitor banks and tap positions on the voltage regulators. However, such control possesses inherent characteristics of complexity, nonlinearity, inaccuracy and high requirement for control speed, parts of which are hard to be described by the trad...
Article
Full-text available
Forecasting of electric load (EL) is an important task for both electric power entities and large consumers of electricity [1]. Large consumers are faced with the need to compose applications for the planned volume of EL, and the deviation of subsequent real consumption from previously announced leads to the appearance of penalties from the wholesa...
Article
Full-text available
At present among renewable sources the wind and solar plants have the most significant portion of power generation. Randomly changing and intermittent nature of this power leads to the stochasticity of the power grid mode, estimation of parameters of which requires application of probabilistic modeling. In the paper it is proposed an advanced algor...
Article
Full-text available
Modern electricity grids continue to be vulnerable to large-scale blackouts. As all states leading to large-scale blackouts are unique, there is no algorithm to identify pre-emergency states. Moreover, numerical conventional methods are computationally expensive, which makes it difficult to use for the on-line security assessment. Machine learning...
Conference Paper
In recent years, due to liberalization, power systems are being operated closer and closer to their limits. At the same time, they have increased in size and complexity. Both factors increase the risk of major power outages and blackouts. Most of the existing emergency control ideologies use two approaches: control in case of accidental disturbance...
Conference Paper
Majority of recent large-scale blackouts have been caused by voltage instability. This paper proposes new algorithms and implementation principles of an intelligent emergency control based on machine learning models and decentralized adaptive models that can effectively prevent voltage instability before they lead to major blackouts and overall col...
Conference Paper
Full-text available
В последние десять лет отключения в энергообъединениях Северной Америке, Европе и Азии наглядно демонстрируют повышение вероятности крупных системных аварий. Подобные аварии обычно происходят в результате определённых чрезвычайных событий в электроэнергетических системах (ЭЭС). Как показывает практика эксплуатации на определённом этапе развития ава...
Article
Full-text available
The problem of forecasting state variables of electric power system is studied. The paper suggests data-driven adaptive approach based on hybrid-genetic algorithm which combines the advantages of genetic algorithm and simulated annealing algorithm. The proposed method has two stages. At the first stage the input signal is decomposed into orthogonal...
Article
Full-text available
One of the most promising approaches for complex technical systems analysis employs ensemble methods of classification. Ensemble methods enable to build a reliable decision rules for feature space classification in the presence of many possible states of the system. In this paper, novel techniques based on decision trees are used for evaluation of...
Conference Paper
Full-text available
Voltage collapse is a critical problem that impacts power system operational security. Timely and accurate assessment of voltage security is necessary to detect alarm states in order to prevent a large-scale blackout. This paper presents an on-line voltage security assessment scheme using periodically updated random forest-based decision trees. We...
Conference Paper
Full-text available
With rapidly increasing complexity of power grids in Europe, North America and Asia, liberalization of electricity markets and increasing penetration of renewable energy, the risk of large-scale emergencies and blackouts increases. This paper proposes a novel approach for development of software for modelling of decentralized intelligent systems fo...
Article
Full-text available
In modern electricity grids uncertainties only multiply. The ongoing deregulation and the expansion of renewable energy in power system worldwide require more complex control and decision making. As a result, large-scale blackouts still continue to happen. The authors deal with a topical issue: how to take the effective preventive actions given ran...
Article
Full-text available
The novel adaptive hybrid models are proposed for time series forecasting and features classification problems. The proposed forecasting model combines the Hilbert–Huang transform and random forests. The efficiency of proposed adaptive approaches is demonstrated on two cases studies: wind power ramps prediction and detection of alarm states in a po...
Conference Paper
Full-text available
To improve power system reliability, it is important to reduce the amount of load shedding when a contingency occurs. Along with a comparison of the conventional load shedding methods, this paper presents an intelligent approach based on a centralized coordinated algorithm using a set of influence coefficients. The proposed method divides power sys...
Article
Full-text available
A novel hybrid data-driven approach is developed for forecasting power system parameters with the goal of increasing the efficiency of short-term forecasting studies for non-stationary time-series. The proposed approach is based on mode decompo-sition and a feature analysis of initial retrospective data using the Hilbert-Huang transform and machine...
Article
In recent years, due to liberalization, power systems are being operated closer and closer to their limits. At the same time, they have increased in size and complexity. Both factors increase the risk of major power outages and blackouts. In emergency and abnormal conditions, a power system operator has to deal with large amounts of data. However,...
Article
We propose a modification of the adaptive approach to time series forecasting. On the first stage, the original signal is decomposed with respect to a special empirical adaptive orthogonal basis, and the Hilbert's integral transform is applied. On the second stage, the resulting orthogonal functions and their instantaneous amplitudes are used as in...
Article
Full-text available
The novel hybrid model for forecasting of time series characterized by nonlinear, nonstationary behavior is presented. Experimental studies on synthetic and real data are carried out and discussed. The application of developed approach for forecasting of price situation in the electricity market and for forecasting of the parameters of the expected...
Article
Full-text available
A novel hybrid data-driven approach is developed for forecasting power system parameters with the goal of increasing the efficiency of short-term forecasting studies for non-stationary time-series. The proposed approach is based on mode decomposition and a feature analysis of initial retrospective data using the Hilbert-Huang transform and machine...
Conference Paper
Secondary substations are usually equipped with short-circuit detectors only indicating that an over-current has occurred for a given line. In case of a fault, further information about type and location is required to recover an assured grid operation as fast as possible. Conventional algorithms for fault detection used in high voltage grids are n...
Article
Full-text available
A neural multi-agent-based approach for system monitoring and preventing large-scale emergencies in power systems is presented in this paper. The automatic emergency control process is represented as a neural multi-agent system with hierarchical architecture. The proposed system consist of two main parts: the alarm trigger, a Kohonen neural network...
Conference Paper
Recent large-scale blackouts have demonstrated that secure operation of large interconnected power systems cannot be achieved without full understanding of the system behavior during abnormal and emergency conditions. This paper is focused on applying learning clustering algorithms for identifying critical states in power systems. The authors propo...
Article
Full-text available
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 c...
Conference Paper
Full-text available
Modern electricity grids continue to be vulnerable to large-scale blackouts. During the past ten years events in North America, Europe and Asia have clearly demonstrated an increasing likelihood of large blackouts. If pre-emergency conditions are identified, preventive actions can be taken, and large-scale blackouts avoided. In the current competit...
Conference Paper
Full-text available
Recent examples of large-scale blackouts in North American 2003, Moscow in 2005 and Europa in 2003 and 2006 have clearly demonstrated that secure operation of large interconnected power systems cannot be achieved without full understanding of the system behavior during abnormal and emergency conditions. This paper proposes an intelligent approach t...
Conference Paper
Full-text available
A problem of forecasting state variables of electric power system is studied. The paper suggests data-driven adaptive approach based on hybrid-genetic algorithm which combines the advantages of genetic algorithm and simulated annealing algorithm. The input signal is decomposed into orthogonal basis functions using the Hilbert-Huang transform. The h...
Conference Paper
Full-text available
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 of the system behavior during abnormal and emergency conditions. Current practice of managing separate parts of the system without knowledge of the 'full pictu...
Conference Paper
Full-text available
The adaptive emergency control concept is based on realization of a tradeoff between preventive and emergency control by combining preventive and emergency actions. The paper proposes to complement the existing control strategies by predictive control strategy - adaptive emergency control, which implies identification of the emergency, until the em...
Conference Paper
Conventional monitoring systems do not address the increasing complexity of electric power systems (EPSs). Bringing together the strengths of artificial intelligence technologies, special software and Wide Area Monitoring System/Phasor measurement unit (WAMS/(PMU) technologies it provides a holistic, intelligent approach to the monitoring of comple...
Article
Full-text available
Optimization of solutions on expansion of electric power systems (EPS) and their control plays a crucial part in ensuring efficiency of the power industry, reliability of electric power supply to consumers and power quality. Until recently, this goal was accomplished by applying classical and modern methods of linear and nonlinear programming. In s...