Equipment Capacity Research Articles

Justification of the container stack unpacking technological operation scheme in the automation of the loader work cycle

Due to the new concept of the country transport logistics development “Turning to the East”, it is becoming the more important to increase the processing capacity of container terminals in the Far East. This research work is to study the possibilities of increasing the throughput capacity of container terminal areas by making the technical and technological management decisions. The opportunity of introducing automation elements into the terminal operation through the creation of a technological cyclic automatic machine on the basis of mobile container transporters is investigated as an idea to increase the processing capacity of the terminal equipment. In the context of developing the concept of the loader operation as a technological machine, the “working cycle” term is defined as a sequence of actions during performing the technological operation of picking up the target container from the stack, and then the transition diagram of the machine is an analogue of the technological scheme of this operation. Based on the foregoing, the purpose of the study is defined as the rationale for choosing a unified scheme for the technological operation of dismantling the container stack as part of automating the working cycle of a loader. To achieve this purpose, the following tasks are solved: the technical capabilities of loaders such as a reach stacker and a loader with an upper grip spreader are studied when working with a stack depending on the location of the target container in the latter; technological schemes for the execution of the operation of picking up target containers from a stack, differing in the type of equipment used and the method of disbanding blocking stacks, are considered; the positive and negative aspects of using each of the technological schemes as an analogue of the transition diagram of the technological machine control unit are revealed. The result of the research work is the technological scheme “the use of a reach stacker or a loader with a top grip spreader with complete disassembly of blocking stacks and picking up containers only from the near row”, which is the most preferable in terms of such important indicators for automating the technological process as versatility, “trouble-free” execution technology, insensitivity to stack capacity.

Stochastic-robust planning optimization method based on tracking-economy extreme scenario tradeoff for CCHP multi-energy system

The load tracking performance of combined cooling, heating, and power multi-energy system (CCHP-MES) greatly depends on the equipment capacity configuration. And the frequent fluctuations in the source-load uncertainty puts higher demands on the load tracking ability of CCHP-MES. For this reason, this paper proposes a novel tracking-economy extreme scenario tradeoff model by comparing the differences between tracking ability and economic benefit. The corresponding extreme scenarios based on these two objectives are characterized and the concept of uncertainty adjustment parameter is introduced to weigh the preference of extreme scenarios. On this basis, a multi-objective two-stage stochastic-robust optimization approach is developed, where the first stage optimizes the investment cost and the second stage optimizes the operating cost. Case study using typical load demand and renewable energy data in Nanjing verify the efficacy of the optimization model. The results indicate that the proposed tracking-economy extreme scenario can better characterize the frequent fluctuations of uncertainties compared to the traditional definition of extreme scenario. The equipment capacity configuration obtained under tracking-economy extreme scenario tradeoff model can better cope with the uncertainty fluctuations under extreme weather. Depending on different optimization preference, the economic robustness and tracking robustness can be improved by 13.80% and 36.06%, respectively.

Benefit Evaluation of Hydrogen Production System Harnessing Curtailed Wind Considering Integrated Demand Response

With the continuous increase of wind power installed capacity in China in recent years, the problem of wind curtailment has become increasingly serious. Using curtailed wind power for hydrogen production is an effective way to reduce wind curtailment. In this paper, based on the complementary characteristics of various energies in the electric-hydrogen system, a capacity planning model of the energy system considering wind curtailment wind-to-hydrogen technology and integrated demand response is established. The proposed model utilizes a fast unit commitment technology, with the function of solving the optimum capacity of various equipment in the electrolytic hydrogen production system under different wind curtailment utilization rates and different wind power installed capacities. A case study based on Xinjiang province, which has rich wind energy resources, is conducted to obtain the optimal composition of new-built capacities of the electrolytic hydrogen production system. In light of the simulation results, the levelized cost of hydrogen is proportional to the wind power installed capacity and inversely proportional to the utilization rate of wind curtailment.

Research on identification method of power equipment hot spot temperature based on the particle filter algorithm

With the construction of new power systems, the load shows significant differences between peak and valley, and the traditional system planning and scheduling operation mode faces problems such as insufficient flexibility. The power system mainly focuses on transmission lines and transformers to improve the grid’s transmission capacity. Based on the existing grid structure and substation layout, the thermal stability value algorithm is used to evaluate the load capacity of substation equipment, fully tap its operation potential, and improve the equipment’s total utilization rate, which is of great significance to ensure the reliability of the power supply. Based on the principle of heat transfer, this paper establishes the temperature model of electrical equipment contact. Finally, the experimental results demonstrate that the particle filter method proposed in this paper can effectively predict the model temperature.

Deep Reinforcement Learning-Based Energy Minimization Task Offloading and Resource Allocation for Air Ground Integrated Heterogeneous Networks

With the popularization of Internet of Things, a number of emerging applications all require both efficient communication and computing service, which poses enormous challenges to the computing ability and battery capacity of terminal equipment. Moreover, the ground-based 5G system cannot provide seamless service especially for hotspot and remote area. In order to deal with the mentioned issues, we first propose an air ground integrated heterogeneous networks model, which consists of multiple UAVs and GBSs equipped with edge servers. Then, by jointly taking into account terminal power control, computing resource allocation, and task offloading decision, an energy-minimization issue is formulated, which, however, is a mixed integer nonlinear programming problem due to the tight coupling between optimization variables. Therefore, we decompose it into two subproblems and design a deep actor-critic-based online offloading algorithm to solve the first offloading decision-making issue facing dimensionality curse. For the second power control and computing resource allocation subproblem, a difference-of-convex-based solution is presented. The proposed approach can achieve superior performance in terms of terminal energy consumption and convergence speed with lower complexity compared with other benchmark methods. Specifically, it outperforms DDQN, AC&Greedy, and UCB algorithm by 7.62%, 17.32%, and 23.14%, respectively.

COVID-19 Vaccination: Opportunity to Strengthen Immunization System in Belize

Objective: To describe the process of leveraging COVID-19 vaccination roll out to strengthen immunization system in Belize. Methodology: The Case study was conducted using desk review of relevant documents for the roll out of COVID 19 vaccination in response to the pandemic and analysis of the COVID-19 vaccination and routine immunization data extracted from the Belize Health Information System. The approach was a retrospective review of the strategies adopted by the government of Belize with support of UNICEF and other health partners using the roll out of COVID-19 vaccination to strengthen the country’s immunization system. Descriptive data is presented in graph and table and a test of association was done using a paired t-test to compare the mean change in annual routine immunization coverage before (2020) and after (2022) roll out of COVID-19 vaccination and p-value was set at a significant level of 5% Results: The National Vaccine Implementation Plan for the introduction of COVID-19 vaccination in 2021 was used as a transformative opportunity for building resilient immunization programs. Key areas focused on in the study were the enhancement of cold chain equipment and storage capacity, utilization of digital tools, improved data management, and innovative immunization service delivery. The result shows that the annual coverage of the first dose and third dose of pentavalent vaccine (Penta 3) increased from 79% and 78.5% in 2020 to 91% and 84.3% in 2022 respectively though not statistically significant (p value> 0.05). So far, 258,443 (65% of the total population) have received at least one dose of COVID-19 vaccine and 221,402 individuals (51.3% of the total population) have been fully vaccinated. Conclusion: The study contributes to the existing literature on the use of COVID-19 investments as an opportunity to strengthen the health system with a focus on immunization services which is essential in building a resilient health system.

Barriers and facilitators for leading nursing homes through the COVID-19 pandemic: A focus group study in Norway.

During the COVID-19 pandemic, nursing home leaders implemented infection control to protect residents and staff. To understand the barriers and facilitators for leading nursing homes through the COVID-19 pandemic. We invited 34 nursing homes to participate, and 20 leaders (59%) attended focus group interviews. The COM-B model and the theoretical domains framework were used in design and analysis of the study. The barriers for infection control were organisational unpreparedness, high volumes of information, lack of clinical skills, protective equipment, and testing capacity, the nursing home's architectural design, health authorities' low priority of nursing homes, staff's fear, and mental pressure on the leaders over time. The facilitators were having a customised corona plan, change of routines, certification of new skills, access to the municipal quality system, the ability for crisis leadership, loyalty to the nursing home, and support from the environment. The number of part-time positions and the opportunity to outsource parts of the services were also important determinants for infection control. The results identify several barriers and facilitators for nursing home leaders' behaviour for infection control. The results confirm the importance of supporting the leaders' resilience and crisis leadership while working in the pressurised environment of a pandemic. The study provides important insights into barriers and facilitators for leading nursing homes through the COVID-19 pandemic, which could help to inform future strategies for infection control. No patient or public contribution.

Analysis of Electromagnetic Interference for Anti-Medal UHF RFID Temperature Tag in High Power Electronic Equipment

Being inches from the rapid development of new energy technology, the capacity of high-power power electronic equipment is increasing rapidly, and the requirements for its safe and reliable operation are also rising. As a result, the demand for online temperature monitoring of such equipment is becoming increasingly urgent. RFID temperature measurement technology can be used for real-time monitoring of the temperature of powered operation equipment. However, the operation of high-power electronic equipment generates strong electromagnetic interference, which can seriously affect the normal operation of RFID temperature measurement systems. For applications involving the internal temperature measurement of high-power power electronic equipment, this paper employs an RFID anti-metal temperature tag antenna with a short-circuit cutoff structure. This structure was tested in an excitation switchgear cabinet. During the low-power operation of the cabinet, the temperature tag functioned normally. By combining an RFID antenna model with an electromagnetic interference simulation model of the main circuit of the excitation switchgear cabinet, this paper establishes an electromagnetic interference simulation model for an RFID temperature tag. It analyzes how the tag’s antenna performance parameters change when subjected to interference. Through simulation, the failure mechanism of the RFID temperature tag during the high-power operation of the excitation switchgear cabinet is clarified. The analysis found that there are both conductive electromagnetic interference and radiated electromagnetic interference in the excitation switchgear cabinet, with the conductive electromagnetic interference having a more significant effect. Conductive electromagnetic interference can seriously impact the performance of RFID temperature tags in the excitation switchgear cabinet, significantly degrading their performance. In contrast, the effect of radiated electromagnetic interference on the tags is relatively small. Therefore, this paper employs anti-metal RFID temperature tags and simulates and analyzes their electromagnetic interference characteristics.

Design of district heating system with dual-temperature supply based on thermal energy discretisation and matching method

As heating requirements continue to evolve and heating technology advances, radiators and radiant floor heating devices, which require different supply-water temperatures, have gradually become the two main heating terminals in district heating systems. However, the primary return-water temperature of current solutions based on heat exchangers and heat pumps is relatively high and fails to recover waste heat from the combined heat and power plants, owing to improper use of heat sources. To address this issue, a heat exchanger network optimisation method—the thermal energy discretisation and matching method—was used to design a dual-temperature water district heating system consisting of two absorption heat pumps and two heat exchangers. The primary supply water flows through the two generators, two heat exchangers, and two evaporators of the absorption heat pumps. The radiator and floor heating return water was divided into two parts and heated by the heat exchanger and the absorber and condenser of the absorption heat pump, respectively. The performance of the designed heating station was evaluated using the coefficient of performance and the primary return-water temperature and compared with that of other district heating systems. The changes in the district heating system's configuration when the boundary conditions changed were investigated. Results showed that (1) the designed system based on thermal energy discretisation and matching method -had the lowest primary return-water temperature of 18.8 °C and the highest coefficient of performance of 5.62. (2) When the low-temperature load ratio changed from 0% to 100% while maintaining a constant total load, the system's form changed regularly. (3) When the primary supply-water temperature increased, the heating station's form remained unchanged and the capacity of the heat exchange equipment changed regularly. (4) When the secondary supply and return-water temperatures increased, the evaporation temperature of the absorption heat pump increased, resulting in a change in the system's form. This study provides valuable insight into the design of district heating systems that supply dual-temperature water under various design conditions.

Multi-scenario planning of pelagic island microgrid with generalized energy storage under the influence of typhoon

Stand-alone microgrid system consist of hybrid wind/photovoltaic/energy storage is one of the effective approaches to solve the problem for future pelagic island power supply. Also, the frequent typhoons have brought serious impact to the pelagic island microgrids. In this context, a multi-scenario planning model for pelagic island microgrid with generalized energy storage (GES) is proposed to address the issues of high-impact, low-probability typhoon events and insufficient flexibility in low-impact, high-probability situations. Given the impact of typhoons, the planning scenarios of island microgrids are divided into regular, typhoon and typhoon early warning scenarios. Meanwhile, the selection method for each type of scenario is given. In addition, this paper establishes the unified GES model which includes power to gas-gas storage-micro gas turbine (P2G-GS-MT), transferable loads, reducible loads, and electric energy storage. The proposed methodology has been validated on an enhanced microgrid, resulting in a cost reduction of 11.9% compared to traditional method. The results demonstrate that this approach reduces the planning capacity of equipment, cost reduction, and ensure uninterrupted power supply to important loads even during typhoon conditions.

Supply Chain Planning for IC Design House Back-End Production Network With Turnkey Service

Owing to global competition, integrated circuit (IC) design houses are facing challenges in the optimal use of capacity and resources to fulfill customer demands and maximize profit. A hybrid make-to-stock (MTS) and make-to-order (MTO) model is generally used. Wafer procurement is made according to customers’ long-term demand forecast based on MTS. Limited wafer fab resources and back-end capacity are first allocated to on-hand orders and then to forecast demand. In production planning, several factors need to be considered to determine the production quantity and inventory level, such as the material, capacity, substitute, technical constraint, and order tardiness. This study considers a typical multi-stage supply chain network of semiconductor back-end production with turnkey service for IC design houses. The objective is to maximize the total profit with the constraints of equipment capacity, the flexibility of substitutes, and the usage of the turnkey mode. The problem is formulated with a mixed-integer programming model and solved using two novel heuristic algorithms: a product-based decomposition (PD_SCP) with profit-based criteria and a Lagrangian decomposition combined with the product-based decomposition (LD-SCP) method. Using the LD-SCP algorithm takes a long time but results in a great solution. Sensitivity analysis is conducted to investigate the impact of different parameters on production cost and total profit.

ANALISIS EFEKTIVITAS PENGGUNAAN ALAT BERAT PADA SUATU PROYEK KONSTRUKSI (Studi Kasus : Pembangunan Kolam Retensi Wilayah Sirnaraga – Kota Bandung)

This research is motivated by the need to observe and analyze the efficiency of using heavy equipment in the retention pond construction project in the Sirnaraga area. The purpose of this study was to determine the production capacity of heavy equipment used, the efficiency factor of heavy equipment and to analyze the effect of the efficiency factor on the production capacity of heavy equipment. The method used in this research is descriptive analytic method which focuses on solving actual problems, where the data collected, compiled, explained and analyzed. The results showed that the production capacity of heavy equipment for excavators was 52.14 m3/hour, dump truck was
 11.60 m3/hour, stamper was 540.00 m3/hour, vibrator concrete was 750 m3/hour, portable concrete mixer pump was 83 m3/hour, and hydraulic truck crane of 10.384 tons/hour; efficiency factor of heavy equipment for excavator is 0.83 (good operating condition), dump truck is 0.80 (medium), stamper is 0.81 (good), vibrator concrete is 0.83 (good), portable concrete mixer pump is 0.83 (good), and hydraulic truck crane 0.83 (good); The greater the production capacity of each unit of heavy equipment, the higher the efficiency factor of the heavy equipment obtained with good operating conditions. Vice versa, if the production capacity is small, the efficiency factor value of the heavy equipment used will also be small.

Multi-objective bi-level planning of the integrated energy system considering uncertain user loads and carbon emission during the equipment manufacturing process

Faced with urgent energy crisis and global warming, there is still debate on how to balance the relationship between the economy and environment when planning energy systems. Aiming at this problem, a multi-objective bi-level planning model of the integrated energy system has been developed. In the first stage, the equipment capacity is configured with the objective of minimize carbon emissions from the production phase. In the second stage, the system operation model is a bi-level model, considering the uncertainty loads. In addition, various energy storage strategies for the integrated energy system are simulated, including following the electric load (FEL), following the cold load (FCL), following the heat load (FHL), and price following renewable energy (PFR). In the results of capacity configuration, the photovoltaic installation capacity decreases by 44% with no wind power. Five cases are designed, which contain single and combination strategies. The results show that the system with PFR-FEL can produce carbon emissions and cost 7.3 × 107 kg/year, 4.7 × 107 CNY/year, respectively, while the system with PFR can produce carbon emissions and cost 7.8 × 107 kg/year, 5.2 × 107 CNY/year, respectively. Those results indicate that photovoltaic is more valuable than wind power in Urumqi, and the combination strategy has better performance than single strategy.

ANALISA PERBANDINGAN BIAYA DAN WAKTU METODE KOSTRUKSI TOP-DOWN DAN BOTTOM-UP PADA PEKERJAAN BASEMENT GEDUNG TENTREM SEMARANG

Tentrem Semarang Building is one of the tallest buildings in Semarang with 4 basement floors and 17 top floors. The construction of basements in high-rise buildings is currently being carried out a lot, one of the factors is due to the limited land to be built, in general, the construction of basements is used for parking lots. The basement to be built has different depths and conditions, so it takes the right method according to the conditions in the field. There are 2 methods for implementing basement construction, namely bottom-up and top-down. In the basement structure work of the existing Tentrem Semarang Building construction project, the basement construction used the bottom-up construction method. In this study, the method will be modified using the top-down construction method. Information regarding work methods, worker productivity was obtained by interviewing field supervisors from the owner, interviews with supervisors from the main contractor and direct field observations. Calculation of costs and time is carried out by analyzing the capacity and productivity of labor and heavy equipment, comparing the normal time with the time after changes in construction methods. The results of the modification of the construction method using the top-down construction method for the basement structure of the Tentrem Semarang Building project took 510 days to complete and cost IDR 205,059,861,826. Whereas for the bottom-up method it takes 685 days with a total cost of IDR 253,609,405,225. The application of the Top-Down method to the implementation of the basement structure of the Tentrem Semarang building project is more effective and efficient than the implementation of the Bottom-Up method and produces a time effectiveness value of 25.55% and a cost efficiency of 19.14% compared to the Bottom-Up method

System optimization and mode modification of the solar assisted ground source heat pump system for primary schools in northern rural areas of China

With the increasing application of geothermal and solar energy in northern regions of China, it has become one of the main clean heating technologies for rural primary schools. However, the mismatch in equipment capacity has led to poor operating effect and economic efficiency of such systems. This paper puts forward experimental and analysis on a solar assisted ground source heat pump system in a primary school in Beijing's Daxing District. And then, to address the above issues, a TRNSYS model is established and verified to optimize the system strategy and form during 15 years period. What’ more, the main factors affecting solar collector selection are screened by sensitivity analysis. And through the step-by-step regression analysis, the collector selection correction model based on the coefficient Km is obtained. The results show that the temperature difference of the optimized collector control is 10 °C/1°C, and that of the supplementary heat is 20 °C/1°C. The applicable scenarios of the two system forms are different, and the energy efficiency of the system operation is increased by 23% and 23.4% respectively. In addition, the revised model ensures the balance of soil temperature for 15 years of operation under the condition of considering multiple elements, which provides a reference for the matching and selection of equipment for the same type of project in the future.

Performance analysis of an energy system with multiple combined cooling, heating and power systems considering hybrid shared energy storage

The performance of multi-CCHP energy system considering hybrid shared energy storage (HSES), which comprises shared electrical energy storage (SEES) and shared thermal energy storage (STES), was analyzed through bi-level optimization. Firstly, the superiority of the HSES operation mode in terms of capacity reduction and cost savings was investigated. The HSES mode effectively utilizes the complementarity of load demand and the differences in energy consumption behavior of multiple CCHPs, which reduces the capacity of electricity and heat storage equipment by 50.5% and 82.7% and reduces the total cost of the CCHP systems by 17.0%. Subsequently, analyses on the effect of energy storage type shows that the HSES mode increases the revenue while reduces the total cost of the CCHP systems compared with SEES and STES modes. Lastly, the effect of the CCHP number on the economic performance of the energy system is investigated under the conditions of fixed and optimized capacity of energy storage stations. Results show that the optimized capacity scheme is more beneficial for the profitability of the HSES station. Moreover, when multiple CCHP systems are involved in energy sharing, the economics of the shared storage station are closely related to the investment cost of the heating pipe network, which is the special character of electro-thermal coupled energy storage.

Multi-objective optimal control of multi-zone VAV systems for adaptive switching between normal and pandemic modes

The recent COVID-19 pandemic has highlighted the need to adapt the control of building HVAC systems to limit disease transmission in indoor environments. However, such operational adjustments may significantly increase energy use, creating a complex trade-off problem between infection risk mitigation and energy efficiency. Moreover, practical constraints, such as maintaining comfortable temperature and humidity levels for occupants and limited system equipment capacity, can limit the flexibility of operational adjustments, further exacerbating the challenge of finding optimal operational solutions. This paper therefore proposes an optimal control strategy for multi-zone VAV systems that adapts to switching between normal and pandemic modes. The strategy considers dual optimization objectives: minimizing system energy use and disease transmission risk, while also considering all practical constraints. Optimal operational parameters can be determined to achieve the best trade-off between these objectives based on pandemic conditions. Additionally, a new metric called “effective fresh air factor” is proposed to quantify the impact of multi-zone VAV systems on disease transmission in building zones. The effectiveness of the proposed strategy is evaluated in a simulated building and air-conditioning environment. Results show that the VAV system has superior ability to reduce transmission risk through operational adjustments, achieving a decrease in disease transmission risk by 25%–75% compared to normal operation.

Optimal Equipment Capacity Planning in the Neonatal Intensive Care Unit with Simulation-Optimization Approach

Capacity planning should be performed to balance investment costs and benefits of investing to meet the current and future demand in intensive care units. Having a high capacity to increase patient admission will lead to unutilized capacity in some periods, thereby increasing costs. On the other hand, patient admission requests from inborn and transported patients might be rejected due to lack of equipment. It should be considered in terms of cost-effectiveness and patient health; therefore, optimal equipment capacity must be determined. In this study, the optimal capacity planning problem has been considered for the neonatal intensive care unit of a hospital adopting the simulation-optimization approach. A discrete event simulation model is proposed for a neonatal intensive care unit in Adana, Turkey. Then, the optimization model identified the optimal numbers of incubators, ventilators, and nitric oxide devices to maximize equipment efficiency and minimize total inborn patient rejection and transport ratios. Three different resource allocations are presented, and the best is obtained from these three objectives as 72 incubators, 35 ventilators, and three nitric oxide devices. The application results obtained have revealed that the rejection and transport rate, which is found to be 1.12% in the current situation, can be reduced to 0.2% with different numbers of equipment and that equipment efficiency can be achieved with optimal numbers of equipment. The results of the study can help the decision-makers when minimum transport and rejection ratios are critical which almost intensive care units are required. Furthermore, the proposed simulation-optimization model can be adapted to different neonatal intensive care units having the same characteristics.

Seismic resilience evaluation and retrofitting strategy for substation system

Electrical substation systems have always had an obvious vulnerability during earthquakes. To find an efficient retrofitting strategy at a substation’s functional network level, this paper proposes a seismic resilience evaluation framework that combines seismic simulation and function recovery. According to the structural connectivity and redundancy of substation seismic behavior, a directed acyclic graph was built. After careful consideration of the load transmission capacity of substation equipment and important coefficients of the output terminal, a structural and electrical dual-function network model was established using the Simulink module. The model was divided into four analytical steps for hierarchical simulation. Post-earthquake iterative analysis was carried out according to equipment repair efficiency. The post-earthquake repair sequence was found, and the steps to functional recovery were obtained. To quantify the seismic retrofitting efficiency of equipment, a set of seismic analytical methods for retrofitting was developed using a typical 220 kV substation. Seismic resilience analysis using the Monte Carlo method led to new optimal retrofitting strategies under different resource limitation conditions. These new strategies are presented in this paper.

RESEARCH OF VALVE MOTOR CONVERTER CONTROL METHODS

A technique for selecting the electrical equipment of a valve motor with machine commutation has been developed, which takes into account the ways of controlling the inverter. The installed capacity of the electrical equipment of the valve motor (VD) is determined by technological requirements and depends on the structure of the converter, the method of commutation of the converter keys and the methods of controlling the inverter. The use of autonomous inverters with artificial switching, the keys of which are switched due to the reactive energy accumulated in additional switching devices, increases the utilization factor of the synchronous machine. However, in this case, the circuit becomes more complicated and the installed power of the converter increases. The use of IGBT transistors and IGCT thyristors leads to a significant increase in the cost of the equipment.
 To reduce the influence of the rectifier VD on the network and match the drive voltage with the supply voltage, a matching transformer and reactive power compensation device may be needed. The amount of power of this equipment is affected by the method of controlling the rectifier, the nature of the engine load and the range of speed changes.
 Voltage regulation of the rectifier can be symmetrical or asymmetrical. Several methods of asymmetric regulation are known, among which one of the most expedient is alternating. In the case of alternating control in the three-phase bridge circuit, an artificial zero circuit is created, as a result of which the duration of the current flowing through the secondary windings of the transformer becomes less than 2/3 of the half-cycle of the supply voltage. In addition, the energy indicators also increase, in particular, the reactive power consumption decreases and the shift and power coefficients increase.