Organization of Control of the Generalized Power Quality Parameter Using Wald’s Sequential Analysis Procedure

Early evaluation of the parameters of electric power quality and maintenance of the corresponding operating modes of electric facilities in work environment is the important scientific and practical task. In terms of real operating conditions, electric mains often demonstrate nonsinusoidal mode characterized by the available harmonics of voltage and current. Deterioration of the electric power quality in the electric supply systems for industrial enterprises results in the decreasing reliability and efficiency of the operation of energy consumers, i.e. asynchronous motors (AM). The known methods to reduce negative influence of low-quality electric power on the AM operation differ with their integration costs and expected economic effect. Nevertheless, the available methods for the selection of protective means for asynchronous motors, operating in the electric mains with nonsinusoidal voltage, have no economic substantiation. Moreover, economic losses of an industrial enterprise due to the operation of asynchronous motors in terms of considerable deviation of the power quality values from the standard ones have not been analyzed to the full extent. The chapter of monograph has shown that currently it is expedient to solve a task of the selection of AM protective means basing on the computational studies, which involve a simulation model representing the interaction of company electric main with the power consumers. There are following structural elements of a simulation model: a generator of linear voltages of the company electric main; a nonlinear electromagnetic and thermal model of an asynchronous motor; and a decision-making block. The chapter of monograph demonstrates the ways to increase reliability of the modeling of electric main parameters.

Problems connected with the decision making when the natural or anthropogenic processes are studied and assessed basing on the big data clouds delivered by the multi-channel monitoring systems. Decision making tool is developed basing on the sequential analysis procedure. Statistical decision model assumes the continuously calculation of the chosen criterion until it is satisfied. It is supposed that studied process is assessed on the base of specific indicator and a set of its values is formed from different information sources.

The main objective of this paper is to present a theoretical and numerical analysis of frictional contact problems for large deformation elasto-plastic based on the finite element method (FEM) and the mathematical programming. The study is done on an elasto-plastic material obeying to the von Mises criterion. The Coulomb’s friction contact is used to implement the frictional boundary conditions and is formulated by the bipotential concept leading us to minimize only one variational principle of minimum in displacement. In order to follow up the sequences of large deformations, we have used the sequential analysis procedure; it consists in the updating of material properties and geometrical configuration after each sequence.

Under the dual pressures of global carbon emission reduction and production cost control, energy-intensive industrial enterprises are in urgent need of a balanced low-carbon operation strategy that reconciles economic benefits, environmental performance and production continuity. To address the limitations of existing methods in multi-dimensional objective balancing, this paper proposes a dynamic multi-objective optimization framework for industrial electricity consumption, integrating high-precision load forecasting and optimal scheduling. For load forecasting, an improved dual-gate optimization temporal attention long short-term memory (DGO-TA-LSTM) model is developed, which is modeled based on the one-year hourly electricity operation data (8760 samples) of a high-energy industrial enterprise in southern China, and its performance is verified via three standard metrics—the mean absolute error (MAE), root mean square error (RMSE) and mean absolute percentage error (MAPE)—compared with five mainstream baseline models. On this basis, when taking time-varying electricity-carbon factors and time-of-use electricity prices as dual guiding signals, a three-objective optimization model minimizing electricity cost, carbon emissions and load deviation is constructed, which is solved by the Non-Dominated Sorting Genetic Algorithm II (NSGA-II), with the Improved Gray Target Decision-Making (IGTD) method introduced to select the optimal compromise solution. Case study results show that the proposed scheme achieved a 1.9% reduction in electricity cost and a 30% reduction in carbon emissions compared with the unoptimized strategy, providing a feasible and scalable low-carbon operation path for industrial enterprises.

The article examines the ways of developing Ukrainian-Polish cooperation in the field of coordination of industrial enterprises. The authors of the article note that Ukraine and Poland have significant potential for the development of cooperation in the field of industry. Both countries have a developed industrial base, which is represented by enterprises of various profiles and scales. In addition, Ukraine and Poland have a well-established system of transport and logistics infrastructure, which allows for effective production cooperation and trade operations. The state of Ukrainian-Polish cooperation in the field of industry is analyzed. Due to the war in Ukraine and the impossible normal functioning of industrial enterprises in the east and south, many of them moved to Western Ukraine, in particular to the Lviv region, where they faced the problem of production capacities, so it would be worthwhile to create a committee in the Lviv Chamber of Commerce and Industry, which would be able to control and regulate the activities of such enterprises, or diversify their activities, in order to attract all the production capacities of the enterprises in order to maximize their efficiency, as well as coordinate their activities with the industrial enterprises of Poland, in order to ensure the smooth operation of the enterprises, so that materials and finished products are imported / was exported to ensure the maximum sale of goods without downtime and leftovers in the warehouses of enterprises. Due to the hostilities in eastern Ukraine, Lviv's industrial enterprises have an opportunity to expand their market by deepening coordination with Polish industrial enterprises to maximize benefits for both parties. For the development of Ukrainian-Polish cooperation in the field of coordination of the activities of industrial enterprises, it is necessary to: develop and implement a procedure for monitoring and assessing the quality of coordination of industrial enterprises, ensuring the periodicity (once a quarter) of monitoring and assessing the quality of international coordination of the activities of industrial enterprises of Ukraine and Poland, which will make it possible to identify problems in Ukrainian-Polish cooperation in coordinating the activities of industrial enterprises, and take measures to solve them. In order to improve human resources, it is necessary to develop, create and approve a program of professional development and training of specialists in the field of coordination of the activities of industrial enterprises, the organization of foreign internships and training in Poland at enterprises of a similar profile of activity, as well as the adoption of their best practices in this field, which will improve the deepening of the process international cooperation. For the effective operation of the organization, it is necessary to ensure the coordination of the work of all divisions at the enterprise, as well as to establish an effective communication process and communication between employees of all divisions. To do this, it is necessary to develop clear channels of communication between all units of the organization, to ensure that employees have access to the necessary information and documentation to perform their work. The paper proposes a series of successive stages of research into the process of development of Ukrainian-Polish cooperation in the field of coordination of the activities of industrial enterprises, as well as identifies directions for improving the development of Ukrainian-Polish cooperation.

Liquid storage tanks are essential facilities in lifeline and industrial systems. To ensure liquid tightness, serviceability is the prime design concern for these structures. While there have been major studies on the behavior of steel tanks, little attention has been paid to the behavior of rectangular concrete tanks. In this study, the dynamic response of concrete rectangular liquid storage tanks is investigated. In the current design practice, the response of liquid and tank structure is determined based on rigid tank wall and the lumped mass approach. However, the results of analysis show that the flexibility of tank wall increases the hydrodynamic pressures as compared to the rigid wall assumption. Also, recent studies show that the lumped added mass method leads to overly conservative results in terms of base shear and base moment. In addition, in spite of advanced analysis techniques available for dynamic analysis of liquid storage tanks such as finite element method and sequential coupling analysis procedure, there is a need to develop a simplified analysis method for practical applications. In this thesis, a simplified method using the generalized single degree of freedom (SDOF) system is proposed for seismic analysis of concrete rectangular liquid containing structures (LCS). Only the impulsive hydrodynamic pressure is considered. In the proposed method, the consistent mass approach and the effect of flexibility of tank wall on hydrodynamic pressures are considered. Different analytical methods are used to verify the proposed model in this study. The comparison of results based on the current design practice, the analytical-finite element models and full finite element model using ANSYS® shows that the proposed method is fairly accurate which can be used in the structural design of liquid containing structures. Parametric studies on seismic analysis of concrete rectangular LCS using the generalized SDOF system are carried out. Five prescribed vibration shape functions representing the first mode shape of fluid structure interaction system are used to study the effect of flexibility of tank wall and boundary conditions. The effect of flexibility of tank wall, the amplitude of hydrodynamic pressure, the added mass of liquid due to hydrodynamic pressure, the effective heights for liquid containing system and the effect of higher modes on dynamic response of LCS are investigated. In addition, the effect of variable size of tanks and liquid depth are studied. The contribution of higher modes to the dynamic response of LCS is included in the proposed model. A design procedure based on the structural model using the generalized SDOF system is proposed in this study. Design charts and tables for the added mass of liquid due to impulsive hydrodynamic pressure and the corresponding effective heights are presented. The proposed design procedure can be used for engineering design applications.

In this paper, we present a framework for modelling of the multiple cracking behaviors of unidirectional reinforced composites under tensile loading. The property of the bond interface between the matrix and the reinforcement has significant influence on the mechanical behavior. The proposed framework can handle a variety of bond properties, such as the random bond intensity of non-impregnated reinforcement consisting of multiple yarns, or the non-linear bond-slip law where the shear stress can be characterized as a non-linear function of the slip. We focus on the textile reinforced concrete (TRC) which uses impregnated textiles as reinforcement. Its bond property falls into the category of non-linear bond-slip law. A sequential inverse analysis procedure is proposed to derive the bond-slip law in TRC from the experimental results of pull-out tests. Based on the obtained bond-slip law, a local crack bridge model concerning the tensile behavior of a local crack bridge is formulated. Combining the crack bridge model with the crack detecting algorithm, the cracking history and the stress-strain curves can be numerically determined.

Due to globalization of economic processes and recent trends towards integration, businesses are now forced to use digital technologies and implement innovations aiming to improve information awareness. As knowledge economy grows and spreads, digital systems of monitoring may emerge as the most significant economic asset, conferring the competitive advantage and higher economic efficiency on those who actively utilize them in their activities. The significance of information resources becomes more and more prominent over time due to never-ending demands for systematization of ever-growing volumes of information. Although some research has already been made on information technology-based business management, the implementation efficiency of digital monitoring systems remains understudied, and the current study aims to fill the gap. The purpose of the study is to analyse the efficiency of management responses in industrial enterprises with digital monitoring systems implemented. The study focuses on digital monitoring systems implemented in industrial enterprises, with its subject being its efficiency. The study gives a description of a digital monitoring system that is capable of increasing the efficiency of management responses in industrial enterprises. The digital monitoring system under study generates data that can be applied in monitoring of production efficiency, production quality, productive resources expenditures, technical diagnostics of equipment, capacity reserves and redirection of investments as a result of production optimization. The study also offers a qualitative description of benefits achieved with the implementation of a digital monitoring system in an industrial enterprise. Moreover, the study provides a quantitative estimate of implementation efficiency of a digital monitoring system in an industrial enterprise on the example of a large Russian metallurgical enterprise that saw increased production load and overall revenue after the implementation of a digital monitoring system. The study results can be applied in practice in industrial enterprises as a step towards the creation of an enterprise`s single information environment. Further research can be made in direction of accumulation and analysis of implementation cases of a digital monitoring system by industry.

The work is devoted to solving the scientific and practical problem of developing information systems for monitoring marine waters and adjacent areas using remotely piloted aircraft. The purpose of the study is to improve the level of the information system for monitoring the state of marine waters and coastal zones by improving the technological process and on-board equipment of remotely piloted aircraft. Basic studies show that more than 60% of pollutants entering the Black Sea come from river runoff, covering the territory of almost 20 countries, including the most industrialized regions of Europe. The main source of anthropogenic impact on the northwestern waters of the Black Sea within Ukraine is the runoff of the main European rivers – the Dnieper, Danube, Dniester and Southern Bug, which transport more than 296 km³ of water annually. In addition, the quality of coastal waters depends on pollution resulting from military actions of Russian aggression, local sources of pollution, in particular the activities of large coastal cities, industrial enterprises, municipal wastewater, stormwater flows, as well as the activity of port infrastructure. Despite the stabilization of the level of oil pollution in the waters of Ukrainian ports at the maximum permissible values (0.05 mg/l), bottom sediments continue to accumulate harmful elements, which requires constant monitoring and improvement of control methods.Information support for the management of environmental safety of the territorial waters of Ukraine in the Black Sea can be effectively provided through an integrated infrastructure of satellite geoinformation resources. The topographic basis of this system is vector maps of the Black Sea regions and the Black Sea water area at a scale of 1:200.Within the framework of this GIS, methodological and software-algorithmic support has been created for the synthesis of thematic geomodels that reflect the man-made loads on the Azov-Black Sea basin, as well as the spatial distribution of indicators of the impact of marine water areas and their ecological state.During the study, scientific and methodological approaches were developed that improve the procedure for environmental monitoring using UAV elements, ensuring the operational functioning of pollutants in a specific area.The results of the study will contribute to increasing the efficiency of environmental monitoring of the Black Sea, ensuring prompt detection of pollution and developing measures to minimize it, which is important for preserving the ecosystem of the region.

The problems of improving intersectoral economic relations in the current conditions of economic development of Kazakhstan are determined by market forms of selling grain and grain products. The goal – one of the main tasks to be solved - to provide a set of measures to overcome the imbalance in the relationship between agricultural and processing enterprises, since the organizational and economic relations between them are one of the bottlenecks in the grain product subcomplex. Methods – comparative analysis, statistical and economic, system analysis, logical generalization. Results – an increase in grain production requires the expansion of the capacities of enterprises in the elevator industry, mainly through new construction. Enterprises in modern conditions are characterized with increased capacity and more modern equipment in comparison with elevators in the territory of the CIS countries. As the main type of intersectoral interaction, the economic relations of agriculture and the elevator industry for the sale of grain are singled out. Conclusions – in any form of ownership, the expensive fixed assets of elevators created over decades should be used rationally, in the interests of the entire food system of the country. In addition to the types of services, such as exchange operations, assistance in the preparation of varietal seeds of grain crops, elevators and grain-receiving enterprises should form commodity lots of grain for its producers, carry out commercial transactions on market on their behalf, and also engage in mortgage transactions. In conditions of limited material and financial resources for commodity producers, joint use of the capacities of large elevators, grain-receiving and processing enterprises acquires importance. Elevators and other grain-receiving enterprises, being the main participants in grain market of the Republic of Kazakhstan, are designed to ensure the promotion of grain from commodity producers to processors and directly to consumers, the main task of these enterprises is to give the grain a marketable appearance to maximize consumer demand.

Voltage faults and harmonics are some of the main problems in the modern electric power distribution system. Traditional solutions are proved to have several drawbacks. In this paper, a novel AC-AC series voltage compensator without large energy storage elements is proposed to deal with the above voltage problems in the power system, which only requires partial power conversion. In addition, only two bi-directional switches are required in each phase, which reduces the cost. Furthermore, the IGBT bridge-type module is available to realize the bi-directional switch. The system configuration is introduced with the operation principle and the control method of voltage regulation in detail. The system is simulated by MATLAB/Simulink to verify the principle of the proposed device. The experiments are carried out based on a 30kW prototype. All the results show that the voltage problems can be solved effectively by the proposed compensator.

Historically, electric power distribution systems were considered passive subsystems served by the larger transmission grid. Recently, smart grid initiatives have driven the evolution of distribution systems into active systems with market-aware customers and distributed power generation. Along with more diverse and complex injections, contemporary distribution systems are equipped with additional sensing equipment, two-way communications networks, and advanced metering infrastructure (AMI). These are essential technologies that enable several core functions of a smart grid, including real-time monitoring and online control. This thesis presents several tools for the online analysis and control of modern electric power distribution systems. "Online" refers to a control framework that can react to changing system conditions in order to maintain static security and meet different operating objectives. Specifically, the objective of this research is to integrate temporal information (i.e., forecasts) into distribution system analysis tools while maintaining fundamental engineering requirements by re-examining classical problems through a contemporary lens. Connected by an underlying injection forecast model, three research topics are explored: 1) distribution load capability, 2) analytical time window selection for quasi-static time series (QSTS) analysis, and 3) distribution state estimation with explicit consideration of non-synchronized measurements. The work proposed here is a necessary step towards distribution system optimization in an online setting with uncertain and/or bidirectional power flows.

SummaryThe large integration of distributed generation (DG) and electric vehicles (EVs) facilitates daily life and reduces carbon emissions. However, it brings problems such as increased uncertainty and power electronic permeability to the distribution network. In this context, it is important to solve the line loss optimization problem as closely as possible to the real situation. Therefore, this paper solves the line loss optimization problem based on a probabilistic model of three‐phase unbalanced modern power electrical distribution network. Firstly, the paper proposes a frequency domain model of the distribution network and the optimization problem model. Then, to deal with the uncertainty of the system, the point estimation method (PEM) and Monte Carlo Simulation (MCS) are used. Finally, this paper proposes two optimization schemes considering the power quality when single and multiple DGs are integrated. The simulation results demonstrate that the PEM using the Gram–Charlier series expansion of the fourth‐order statistical moments to estimate the probability density function (PDF) is significantly less time consuming than the traditional MCS method while maintaining accuracy. The comparative analysis reveals that under the optimization scheme with single DG integration, the expected value of system line loss and expected line loss rate are reduced from 283.95 kW to 218.96 kW (22.89% reduction) and from 13.44% to 10.68%, respectively. Under the dual DG integrated optimization scheme, the expected value of line losses and expected line loss rate are reduced from 283.95 kW to 208.88 kW (26.4% reduction) and from 13.44% to 10.25%, respectively. However, after taking the uncertainty into account, the operational reliability of the system has been enhanced under different scenarios. In addition, it is found that the optimization approach incorporating multiple DG units can effectively mitigate the system line loss under diverse operational scenarios while enhancing the system's DG integration capability.

In this modern era of cyber–physical–social systems, there is a need of dynamic coordination strategies for electric vehicles (EVs) to enhance the resilience of modern power distribution networks (MPDNs). This paper proposes a two‐stage EV coordination framework for MPDN smart restoration. The first stage is to introduce a novel proactive EV prepositioning model to optimize planning prior to a rare event, and thereby enhance the MPDN survivability in its immediate aftermath. The second stage involves creating an advanced spatial–temporal EV dispatch model to maximize the number of available EVs for discharging, thereby improving the MPDN recovery after a rare event. The proposed framework also includes an information system to further enhance MPDN resilience by effectively organizing data exchange among intelligent transportation system and smart charging system, and EV users. In addition, a novel bidirectional geographic graph is proposed to optimize travel plans, covering a large penetration of EVs and considering variations in traffic conditions. The effectiveness is assessed on a modified IEEE 123‐node test feeder with real‐world transportation and charging infrastructure. The results demonstrate a significant improvement in MPDN resilience with smart restoration strategies. The validation and sensitivity analyses evidence a significant superiority of the proposed framework.

Robust monitoring of CAPM portfolio betas II