Alexandra I. Khalyasmaa

• Doctor of Philosophy
• Professor (Associate) at Ural Federal University

The accurate prediction of wind power generation, as well as the development of a digital twin of a wind turbine, require estimation of the power curve. Actual measurements of generated power, especially over short-term intervals, show that in many cases the power generated differs from the calculated power, which considers only the wind speed and...

Currently, machine learning methods are widely applied in the power industry to solve various tasks, including short-term power consumption forecasting. However, the lack of interpretability of machine learning methods can lead to their incorrect use, potentially resulting in electrical system instability or equipment failures. This article address...

Industrial inspection is a well-known application area for unmanned aerial vehicles (UAVs), but are modern market-available drones fully suitable for inspections of larger-scale industrial facilities? This review summarizes the pros and cons of aerial large-scale facility inspection, distinguishing it from other inspection scenarios implemented wit...

RELEVANCE of the study lies in the development of system for the short-term forecasting of power consumption by the enterprise of the oil and gas industry with consideration of technological factors and interpretation of their influence on the result of the forecast. THE PURPOSE. To consider the problems of short-term forecasting. To test the appli...

Digital twin technology is an important tool for the digitalization of the power industry. A digital twin is a concept that allows for the creation of virtual copies of real objects that can be used for technical state analysis, predictive analysis, and optimization of the operation of power systems and their components. Digital twins are used to a...

One of the key challenges in Multi-Spectral Automatic Diagnostic (MAD) robot design is the precise targeting of narrow-angle cameras on a specific part of the equipment. The paper shows that a low-cost MAD robot, whose navigation system is based on open-source ArduRover firmware and a pair of low-cost Ublox F9P GNSS receivers, can inspect the 8 × 4...

This review addresses the modeling approaches for heat transfer processes in oil-immersed transformer. Electromagnetic, thermal, and hydrodynamic thermal fields are identified as the most critical aspects in describing the state of the transformer. The paper compares the implementation complexity, calculation time, and details of the results for di...

Forecasting the generation of solar power plants (SPPs) requires taking into account meteorological parameters that influence the difference between the solar irradiance at the top of the atmosphere calculated with high accuracy and the solar irradiance at the tilted plane of the solar panel on the Earth’s surface. One of the key factors is cloudin...

Close‐range aerial inspection of large‐scale industrial facilities such as power plants is complex. It is characterized by a few areas suitable for safe landing, many obstacles, complicated radio communication, and so forth. The paper presented a new offline approach for automated mission planning in such conditions. It is based on novel concepts o...

Планирование режимов управления водохранилищами крупных ГЭС требует соблюдения ряда условий: получение прибыли за счет выработки электроэнергии; соблюдения условий безопасного функционирования гидротехнических сооружение; соблюдение условий экологически устойчивого существования водохранилища. В связи с тем, что режим рек подчинен географическим за...

Форсайт – форум «Беспилотные авиационные системы», Воронеж, 30.11.2023

Renewable energy sources (RES) are seen as a means of the fuel and energy complex carbon footprint reduction but the stochastic nature of generation complicates RES integration with electric power systems. Therefore, it is necessary to develop and improve methods for forecasting of the power plants generation using the energy of the sun, wind and w...

Требования к повышению коммутационной способности элегазовых выключателей, диктуемые электросетевыми компаниями вследствие увеличения расчётных токов короткого замыкания в сетях 110 кВ и выше в настоящее время является сложной технико-экономической задачей. Очевидно, что материальные затраты на такое мероприятие высоки и перед созданием прототипа н...

Citation: Popovtsev, V.V.; Khalyasmaa, A.I.; Patrakov, Y.V. Fluid Dynamics Calculation in SF6 Circuit Breaker during Breaking as a Prerequisite for the Digital Twin Creation. Axioms 2023, 12, 623. Abstract: The requirements to switching the capacities of SF6 circuit breakers submitted by Russian Grid companies are difficult to satisfy. The first li...

At the current stage of the integration of renewable energy sources into the power systems of many countries, requirements for compliance with established technical characteristics are being applied to power generation. One such requirement is the installed capacity utilization factor, which is extremely important for optimally lacing power facilit...

This article describes a new approach to evaluating energy efficiency of overhead power transmission lines which is based on power transmission line losses calculation taking into account induction currents and heating in the supporting elements. We present the results of theoretical and experimental research of induction currents and heating evalu...

Digitalization of the energy sector leads to an increase in the volume and rate of data collection. A primary barrier to the proper management of the technological data is the lack of data labeling corresponding to emergency modes, power equipment technical state, etc. Thus, despite the large amount of data, there is a shortage of labeled data suit...

Digital twin is one of the emerging technologies for the digital transformation of the power industry. Many existing studies claim that the widespread application of digital twins will shift the industry to a principally new level of development. This article provides an extensive overview of the industrial application experience of digital twin te...

Currently, the prospects of creating hybrid power assemblies using renewable energy sources, including wind energy, and energy storage systems based on hydrogen energy technologies are being considered. To control such an energy storage system, it is necessary to perform operational renewable sources generation forecasting, particularly forecasting...

The problem of load distribution between hydraulic units at hydropower plants is a difficult task due to the nonlinearity of hydro turbine characteristics and individual peculiarities of the generation units, in which operating conditions are often different. It is necessary to apply the most up-to-date optimization methods that take into account t...

Management of the hydropower plants requires the economically efficient use of water resources based on the forecasts and simulation models of the hydropower plant and the reservoir. There are various data sources for the water inflow forecasting: meteorological and hydrological posts, Earth remote sensing. However, the problem arises of combining...

This manuscript addresses the problem of technical state assessment of power transformers based on data preprocessing and machine learning. The initial dataset contains diagnostics results of the power transformers, which were collected from a variety of different data sources. It leads to dramatic degradation of the quality of the initial dataset,...

span>Global digital transformation of the energy sector has led to the emergence of multiple digital platform solutions, the implementation of which have revealed new problems associated with continuous growth of data volumes requiring new approaches to their processing and analysis. This article is devoted to the improper application of machine le...

Accurate forecasting is one of the bases of the successful functioning of renewable energy sources. The use of artificial intelligence methods makes it possible to achieve high forecasting accuracy. However, the forecast accuracy depends not only on the forecasting methods used, but also on the quality of the initial data. This paper described the...

Forecasting RES generation is an important task both in finding the optimal location for newly commissioned RES generation facilities, and in solving problems of existing electric power systems with a high share of RES. Therefore, obtaining high accuracy of forecasting results is one of the main conditions for the successful development of renewabl...

The load forecasting of a coal mining enterprise is a complicated problem due to the irregular technological process of mining. It is necessary to apply models that can distinguish both cyclic components and complex rules in the energy consumption data that reflect the highly volatile technological process. For such tasks, Artificial Neural Network...

The paper reports the forecasting model for multiple time-domain photovoltaic power plants, developed in response to the necessity of bad weather days’ accurate and robust power generation forecasting. We provide a brief description of the piloted short-term forecasting system and place under close scrutiny the main sources of photovoltaic power pl...

This article highlights the industry experience of the development and practical implementation of a short-term photovoltaic forecasting system based on machine learning methods for a real industry-scale photovoltaic power plant implemented in a Russian power system using remote data acquisition. One of the goals of the study is to improve photovol...

The paper describes the methodology for consideration of renewable energy sources in strategic plans of fuel and energy sector development. The inclusion of renewable energy projects in energy development programs is carried out based on the results of an integrated ranking of technical, economic and environmental criteria. For power generation fac...

The paper discusses a practical case of creating an autonomous microgrid for remote residential customers power supply. Due to the specifics of the geographic location, the main scenarious, considered within the framework of the study are : distribution network conncetion, creation of a diesel power plant, creation of an autonomous hybrid micro-gri...

The purpose of the study is to analyze the practical implementation of high-voltage electrical equipment technical state estimation subsystems as a part of solving the lifecycle management problem based on machine learning methods and taking into account the effect of the adjacent power system operation modes. To deal with the problem of power equi...

The paper presents an industry-validated technique for analysing the technical state of overhead power transmission lines and predicting their residual life with the ability to predict the schedule of their repairs and maintenance. The authors propose a new approach to overhead lines technical state identification based on the analysis of its compo...

This paper addresses the problem of instrument current transformers technical state assessment based on machine learning methods. The introductory parts of the paper provide a detailed analysis of modern methods and approaches for technical state assessment of high-voltage power equipment of power plants and substations as well as a review of moder...

The paper describes the structure and the mathematical core of the decision support system developed by the authors for assessing the quality of cosmetic products based on machine learning approaches. The main goal of the study was to improve the system of quality control of cosmetic products, in particular, the quality of perfumes and cosmetics us...

This paper proposes hydro generator vibration observations under various conditions and solution of a problem of high vibration in upper guide bearing of 110MW hydro generator. Among the test, which were carried out to identify vibration origin of hydro generating unit were: voltage drop tests, magnetic flux measurements, interferric gap measuremen...

The article describes the experience of practical realisation of digital twin technology for voltage and current measurement transformer 110 kV installed in real power station. In terms of the research electrical equipment state monitoring system has been developed as a set of sensors and diagnostic system, based on essentially different approaches...

The paper presents the calculation algorithm for water-energy regime of a hydroelectric power plants cascade. The block diagram of the algorithm is given for implementing the simulation model and automating the process of calculating the regime. The proposed algorithm allows to evaluate the efficiency of the cascade, as well as to optimize the regi...

The paper presents a simulation model of a hydroelectric power plants chain. The model allows solving the problem of hydro power plants (HPPs) operation mode planning in a unified power system, taking into account the optimization of water resources. The optimal filling and decrease of storage was performed in MATLAB Simulink software. The hydrauli...

There are different types of human-wearable sensors which work on the inductance measurement principle: inductive coil sensors for heart activity monitoring, respiratory inductive plethysmographs, posture detectors, etc. The increase of sensitivity and reliability of these sensors is vital in different applications, including medical and recreation...

The problem of reliable and high-quality power supply to remote and sparsely populated areas introduces significant challenges in the social, technical and economic aspects. The issue of diesel power plants electrical energy supply low efficiency due to the high cost of fuel delivery necessitates the use of renewable energy sources. This kind of po...

This paper describes the possibilities of machine learning application in the tasks of technical state assessment of high-voltage instrument transformers. An analytical review of modern systems for technical state assessment of high-voltage equipment is presented, their advantages and disadvantages are described. A mathematical model of an automate...

One of the main problems, facing power system utilities today, is the problem of optimizing their own limited technical and economic resources and creating such an assets management system, that will provide comprehensive assessment and prediction of the technological risks of power network equipment operation. Risk-based approach is generally subd...

The paper presents the methodology of express partial discharge registration in gas-insulated switchgear without its decommissioning and internal intervention. Within the framework of the research the algorithm for calculating the number and location of partial discharge sensors was developed, based on the design features of the gas-insulated switc...

This paper is devoted to the problems and features of database creation in intelligent systems for assessing the efficiency of scientific and technical solutions. The system data model developed by the authors and the principles of its operation are described. This paper also considers the process of training sampling and the analysis of various te...

The paper is concerned with the training sets formation problems in the intelligent information analytical systems for electrical grid equipment technical state assessment and repair programs formation with the purpose of the power grid companies’ plant assets management. The basic principles of the developed intelligent information analytical syst...

The paper presents the operational model of very-short term solar power stations (SPS) generation forecasting developed by the authors, based on weather information and built into the existing software product as a separate module for SPS operational forecasting. It was revealed that one of the optimal mathematical methods for SPS generation operat...

In conditions of development of generating facilities on renewable energy sources, the technology runs up to uncertainty in the operational and short-term planning of the power system operating modes. To date, reliable tools for forecasting the generation of solar power stations are required. This paper considers the methodology of operational fore...