Combined Operation Research Articles

Optimal planning and operation of distribution systems using network reconfiguration and flexibility services

This paper proposes a novel approach for the reliability cost-based optimization of Distribution Systems (DS), considering tie line-based network reconfiguration method with integration of Distributed Energy Resources (DER). An optimal Energy not Supplied (ENS) index is proposed, where the capacity is handled by curtailment devices in the network such as sectionalizers and the energy supplied by DERs which considers Flexibility Services (FS) within a market environment. The decision variables include the investment and operation of tie-lines and buying regulation services from DER such as Distributed Generation (DG) and Battery Energy Storage Systems (BESS). The results validate the cost-effectiveness of the proposed method through implementation of these technologies to improve the reliability of the DS, within a comprehensive set of case-study scenarios for a 16-bus UK generic distribution system (UKGDS). The case study results indicate that significant savings can be achieved through the proposed method, ranging between 36%–71% depending on the level of automation in tie-line operations in combination with the settlement price for the power-balance of FS. This illustrates that the proposed DS reliability cost-based optimization method could have a significant impact for real world DG and BESS applications.

Retroperitoneal Liposarcoma: Rational Extent of Surgery Tailored to Grade of Malignancy.

This study was aimed at determining the indications for combined and organ-preserving operations. The study included 190 patients with retroperitoneal liposarcoma (RLPS). The influence of the following factors on the overall survival (OS) and recurrence-free survival (RFS) were studied: involvement of adjacent organs in the tumor, volume of surgical intervention. OS and RFS were worse in pathologically confirmed visceral invasion in the both RLPS low grade and high grade (p = 0.000). In RLPS low grade, there was no significant difference in OS and RFS between the group of patients who underwent combined surgery without confirmed visceral invasion and the group of patients who underwent organ-preserving surgery (p > 0.080). In RLPS high grade, OS and RFS were higher in the group of patients who underwent combined surgery without confirmed visceral invasion than in the group of patients who underwent organ-preserving surgery (p < 0.050). In RLPS low grade, it is advisable to perform organ-preserving operations, including nephrosaving operations. In RLPS high grade, the organ-preserving operations worsen long-term results and prognosis. Combined operations including nephrectomy are justified in RLPS high grade.

Prospects for the Use of Hybrid Thermal Power Plants with Applying Solar Technologies in the People’s Republic of Bangladesh Energy Sector

There is an inextricable relationship and interdependence between the conditions of meeting energy consumption demands and environmental pollution. The interaction of these two factors and the development of production forces are gradually drawing attention to the problem of interaction between the thermal power engineering and environment. At the thermal power engineering early development stage, the main manifestation of this attention was the search in the environment for resources necessary to meet the energy consumption demands and stable energy supply to enterprises and residential buildings. In the subsequent, the problem boundaries were extended to the possibilities of a more complete use of natural resources through the search and improvement of processes and technology, extraction and enrichment, processing and combustion of fuel, as well as improvement of thermal power facilities. One of the ways to further develop thermal power plants and reduce their environmental impact is hybridization of solar technologies with conventional power plants. To overcome the limitations of simple cycle power plants, a method for hybridizing conventional power plants with solar technologies and its influence on performance are considered. The solar technologies used in the global energy sector are briefly overviewed. The efficiency of using hybrid power plants is studied with reference to the People's Republic of Bangladesh, which is one of the world’s sunniest and actively developing regions. The state of the republic’s energy sector, climatic features, and the possibility of using solar technologies for local conditions are analyzed. A solar thermal power plant model with a parabolic collector is considered; the efficiency of such power plants is analyzed, and technologies for using a combined-cycle power plant (CCPP) jointly with a solar steam generator for electricity generation are overviewed. The schemes of combined-cycle power plants with a solar steam generator were numerically analyzed. The analysis results have shown that during the summer state peak, the use of the integrated power unit makes it possible to additionally obtain approximately 6.5% of the unit total power output in comparison with a similar classical CCPP, but without using the field of solar collectors and a solar steam generator. The use of one modern GE 9371FB gas turbine unit produced by General Electric makes it possible to increase the net efficiency by 3.9% and bring the combined cycle net efficiency up to 59%. The improvements in the power unit are carried out with the minimal impact on the combined cycle operation due to a limited contribution from the solar energy based steam generation system. The integrated system makes it possible to cut the capital costs for the power plant construction. The combination of a CCPP with a solar installation will open the possibility to construct a highly maneuverable power unit with high efficiency indicators.

Combined Provision of Economic Dispatch and Frequency Regulation by Aggregated EVs Considering Electricity Market Interaction

A combined delivery of economic dispatch and frequency regulation (FR) services from electric vehicles (EVs) is proposed to exploit the dynamic flexibility of EV charging load and its revenue opportunities in the electricity markets. The economic feasibility is assessed with the combined operation model of EVs for optimal bidding in the day-ahead energy market and FR market. The proposed optimization adopts the hierarchical control framework with EV aggregator (EVA) as the intermediate control unit to interact with the power system operator. As EVs are paid for FR based on their actual performance, a dynamic control strategy for charging EVs in response to regulation signals is developed to validate the technical feasibility of combined operation. The autonomous control of EVA modulates the charging of each EV to ensure the optimal charging schedules and real-time frequency control. A case study reveals that the profitability of EV charging control can be significantly increased by energy cost reduction and additional regulation revenue. The proposed dynamic control with a novel power-sharing strategy of EVA provides effective frequency support based on the optimal charging schedule and capacity bids without violating charging demand and availability constraints of each individual EV.

Multi-objective control of transient process of hydropower plant with two turbines sharing one penstock under combined operating conditions

This paper studies the multi-objective control of transient process of hydropower plant with two turbines sharing one penstock under combined operating conditions (COCs). Firstly, the model of transient process of hydropower plant is presented. The illustration of four COCs is provided. Then, the multi-objective control strategy of transient process under COCs is designed. The decision variables and objective functions are selected. The control scheme and decision method are determined. Finally, the most favourable superposition time and the most unfavourable superposition time under COCs are determined. The results indicate that the objective function contains three objectives, i.e. spiral case outlet pressures, draft tube inlet pressures and rotational speeds of turbines. The most favourable superposition time under COC-1 can realize that the objectives reach control requirements simultaneously. The most favourable superposition time under COC-2 and the most unfavourable superposition time under COC-1 and COC-2 cannot realize that the objectives reach control requirements simultaneously, but can balance the objectives to the maximum extent. It is unnecessary to distinguish the most favourable superposition time and the most unfavourable superposition time strictly under COC-3. There is no the concepts of the most favourable superposition time and the most unfavourable superposition time under COC-4.

A whale optimization algorithm with combined mutation and removing similarity for global optimization and multilevel thresholding image segmentation

Because of the problem of the whale optimization algorithm (WOA), such as weak local search ability, easy fall into local optimality, unable to better balance the exploration and exploitation abilities of the algorithm, a whale optimization algorithm with combined mutation and removing similarity (CRWOA) is proposed. Firstly, CRWOA proposed an adaptive adjustment method of the parameters A→ and C→ in the encircling prey stage and an improved bubble net attack update position formula, so that the updated whale is located around the prey, which improves the local search ability of the algorithm. Secondly, a roulette selection operator is proposed to randomly select individuals participating in position updates from the population, which improves the possibility of producing excellent individuals in the random search stage. Thirdly, a combined mutation operator based on individual fitness value is proposed to better balance the exploration and exploitation abilities of the algorithm. Finally, to better maintain the diversity of the population, an improved removing similarity operation is added. In addition, in the first set of experiments, the CEC 2017 benchmark test functions are selected to compare the performance of CRWOA with other group intelligent optimization algorithms. In the second group of experiments, Kapur and Otsu are used as objective functions to perform multilevel threshold segmentation on 10 grayscale images. The experimental results show that CRWOA is better than the five comparison algorithms in terms of convergence and segmentation quality.

Generation of a mountain-valley wind in an atmospheric boundary wind tunnel: a gust-wind generator study

Appropriate modeling of an experimental technology is necessary in order to estimate the aerodynamic characteristic of railway trains and infrastructure (e.g., bridges). Simulation of the earth’s wind characteristics of nature is a well-established practice by using an atmospheric boundary wind tunnel. However, in the mountainous area, the wind characteristics are strikingly different from those of the plain area, the amplitude variation of wind is related to complex terrain. Compared with atmospheric boundary layer winds, which are customarily treated as stationary, winds associated with gust winds originating from mountain areas exhibit rapid changes during a short period. A lack of available field test data and testing techniques has hindered such knowledge of the effect of mountain wind on railway-related applications. To simulate the characteristics of gust winds and prepare for follow-up studies of the impact on the railway-related structures, a gust wind generator was developed in an atmospheric boundary wind tunnel — the CSU wind tunnel. Further, the performance of the gust-wind generator was studied and analyzed under the condition of the combined operation between a gust-wind generator and a wind tunnel.

Immediate results of combined coronary bypass surgery and aortic valve replacement with incomplete and complete myocardial revascularization

Introduction. Coronary heart disease and aortic valve stenosis still occupy a leading position among cardiovascular diseases. Against the background of an increase in life expectancy, patients with a combined pathology of the heart are increasingly appearing. Without surgical treatment, such patients have an unfavorable prognosis of life with a high mortality rate. Simultaneous surgical correction of coronary heart disease and aortic valve stenosis is a treatment method that can improve the prognosis and prolong the life of a patient. At the same time, combined interventions remain higher-risk operations compared to isolated aortic valve replacement and isolated coronary artery bypass grafting.The Objective was to evaluate the effect of incomplete and complete myocardial revascularization on the immediate results of surgical correction of combined pathology of the aortic valve and coronary arteries.Methods and Materials. For the period from 2017 until June 2022, 62 aortic valve replacement operations in combination with coronary artery bypass grafting were performed in the cardiac surgery department of the Leningrad Regional Clinical Hospital. The operated patients were divided into two groups. The group 1 included (n=32) patients who underwent aortic valve replacement and complete myocardial revascularization. The group 2 included patients (n=30) who underwent aortic valve replacement and incomplete myocardial revascularization.Results. Postoperative periods in both groups, according to the structure of early postoperative complications, are generally similar. The mortality rate in both groups did not exceed the predicted mortality rate and corresponded to the data of various literary sources.Conclusion. Our observation data showed that the mortality rate in the early postoperative period, in combined operations, does not depend on the completeness of revascularization in combined operations of coronary artery bypass grafting and aortic valve replacement. It is necessary to perform as complete myocardial revascularization in combined operations as technically feasible and appropriate in a clinical situation.

On the finite representation of linear group equivariant operators via permutant measures

Recent advances in machine learning have highlighted the importance of using group equivariant non-expansive operators for building neural networks in a more transparent and interpretable way. An operator is called equivariant with respect to a group if the action of the group commutes with the operator. Group equivariant non-expansive operators can be seen as multi-level components that can be joined and connected in order to form neural networks by applying the operations of chaining, convex combination and direct product. In this paper we prove that each linear G-equivariant non-expansive operator (GENEO) can be produced by a weighted summation associated with a suitable permutant measure, provided that the group G transitively acts on a finite signal domain. This result is based on the Birkhoff–von Neumann decomposition of doubly stochastic matrices and some well known facts in group theory. Our theorem makes available a new method to build all linear GENEOs with respect to a transitively acting group in the finite setting. This work is part of the research devoted to develop a good mathematical theory of GENEOs, seen as relevant components in machine learning.

Spatial symmetry modulation of planar Hall effect in Weyl semimetals

The planar Hall effect in Weyl semimetals has been proposed as a key feature of chiral anomaly and nontrivial Berry curvature, while the effect of fundamental spatial symmetry remains to be explored. Here, we show with general symmetry analysis and lattice model calculations that the planar Hall effect can be significantly modulated by a certain class of spatial symmetry operations. The odd terms of conductivity with respect to magnetic field, including the linear terms, vanish in the plane perpendicular to the axis of twofold rotation (${C}_{2}$) or the ${C}_{2}$ combined symmetry operations (mirror, twofold screw rotation, glide plane). When applying the magnetic field perpendicular to the glide plane, we find that the planar Hall conductivity in bulk forbidden by glide symmetry becomes nonzero in its quasi-two-dimensional counterpart with broken glide symmetry. It is further clarified that the nonzero planar Hall conductivity comes from surface states. This signature can be used to distinguish bulk and surface transport in Weyl semimetals.

UAV Sensors Autonomous Integrity Monitoring—SAIM

For Unmanned Aerial Vehicles (UAVs), it is of crucial importance to develop a technically advanced Collision Avoidance System (CAS). Such a system must necessarily consist of many sensors of various types, each one having special characteristics and performance. The poor performance of one of the sensors can lead to a total failure in collision avoidance if there is no provision for the performance of each separate sensor to be continuously monitored. In this work, a Sensor Autonomous Integrity Monitoring (SAIM) methodology is proposed. The configuration of the sensors and their interaction is based on a fusion procedure that involves a total of five sensors. Accordingly, the performance of each one of the sensors is continuously checked against the combined (fused) operation of the other four. A complementary experiment with a total of four sensors, one of which had low performance, was also conducted. Experimental results reveal a reliable approach for Sensor Autonomous Integrity Monitoring (SAIM). The method can be easily extended to a larger number of sensors.

Noise-related challenges in combined commercial and military operations at an airport

At Harstad/Narvik Airport Evenes, a NATO QRA detachment using F-35 fighter planes has changed the noise characteristics at the airport dramatically. The challenges of determining the correct health hazard values to avoid hearing damage on passengers and employees at an operating airport is difficult. Initial noise mapping shows large areas around the terminal building and the car park with very high noise levels during F-35 take off using afterburner. The noise level increases rapidly during a take off but it is not comparable to an impact noise event. The focus of the work is twofold; Finding the right noise limits to reduce hearing damage risk to an acceptable level at the same time as establishing noise abatement measures that is necessary to avoid hearing impairment to employees and passengers on their way to and from aircraft. A noise limit of LASmax = 115 dB is established.

TEN YEARS OF COMBINED ACL RECONSTRUCTION AND UNICOMPARTMENTAL KNEE ARTHROPLASTIES

The purpose of this study is to assess the long term results of combined ACL reconstruction and unicompartmental knee replacements (UKR). These patients have been selected for this combined operation due to their combination of instability symptoms from an absent ACL and unicompartmental arthritis.Retrospective review of 44 combined UKR and ACL reconstruction by a single surgeon. Surgeries included both medial and lateral UKR combined with either revision ACL reconstruction or primary ACL reconstruction. Patient reported outcomes were obtained preoperatively, at one year, 5 years and 10 years. Revision rate was followed up over 13 years for a mean of 7.4 years post-surgery.The average Oxford score at one year was 43 with an average increase from pre-operation to 1 year post operation of 15. For the 7 patients with 10 year follow up average oxford score was 42 at 1 year, 43 at 5 years and 45 at 10 years.There were 5 reoperations. 2 for revision to total knee arthroplasty and 1 for an exchange of bearing due to wear. The other 2 were the addition of another UKR. For those requiring reoperation the average time was 8 years.Younger more active patients presenting with ACL deficiency causing instability and unicompartmental arthritis are a difficult group to manage. Combining UKR and ACL reconstruction has scant evidence in regard to long term follow up but is a viable option for this select group. This paper has one of the largest cohorts with a reasonable follow up averaging 7.4 years and a revision rate of 11 percent.Combined unilateral knee replacements and ACL reconstruction can be a successful operation for patients with ACL rupture causing instability and unicompartmental arthritis.

Research on the capacity allocation of basin hydropower-photovoltaic-storage hybrid power generation system based on flexibility of hydropower and pumped storage power stations

The development and utilization of basin hydropower-photovoltaic-storage integrated energy system aim to smooth out the fluctuation of new energy generation capacity with the regulating ability of hydropower and pumped-storage power station, thus promoting the large-scale consumption of new energy. For regions rich in water, wind, solar, and pumped-storage resources, the main problem is how to allocate a reasonable scale of photovoltaic and wind power projects according to the scale of regional hydropower and pumped-storage power stations and realize the integrated development of multi-energy complementary. In this paper, based on the complementary power output characteristics of cascaded hydropower stations and regional photovoltaic power stations, and the good energy storage regulation of pumped-storage power stations, a capacity optimization model of basin hydropower-photovoltaic-storage hybrid power generation system with the goal of economic optimization under multiple constraints is constructed. It was applied to the planning and construction of the clean energy base in the Tibet-Sichuan section upstream of the Jinsha River, and the combined operation of the hydropower-photovoltaic-storage hybrid power generation system was analyzed to verify its feasibility.

Hybrid MPPT Control: P&amp;O and Neural Network for Wind Energy Conversion System

In the field of wind turbine performance optimization, many techniques are employed to track the maximum power point (MPPT), one of the most commonly used MPPT algorithms is the perturb and observe technique (PO) because of its ease of implementation. However, the main disadvantage of this method is the lack of accuracy due to fluctuations around the maximum power point. In contrast, MPPT control employing neural networks proved to be an effective solution, in terms of accuracy. The contribution of this work is to propose a hybrid maximum power point tracking control using two types of MPPT control: neural network control (NNC) and the perturbation and observe method (PO), thus the PO method can offer better performance. Furthermore, this study aims to provide a comparison of the hybrid method with each algorithm 𝑃𝑂 and NNC. At the resulting duty cycle of the 2 methods, we applied the combination operation. A DC-DC boost converter is subjected to the hybrid MPPT control. This converter is part of a wind energy conversion system employing a permanent magnet synchronous generator (PMSG). The chain is modeled using MATLAB/Simulink software. The effectiveness of the controller is tested at varying wind speeds. In terms of the Integral time absolute error (ITAE), using the PO technique, the ITAE is 9.72. But, if we apply the suggested technique, it is smaller at 4.55. The corresponding simulation results show that the proposed hybrid method performs best compared to the PO method. Simulation results ensure the performance of the proposed hybrid MPPT control.

Optimal energy flow in integrated heat and electricity system considering multiple dynamics

Wide promotion of combined heat and power (CHP) units necessitates the combined operation of the power and heating system. However, the dynamics and nonlinearity in integrated heat and electricity systems (IHES) remain an obstacle to efficient and accurate analysis. To handle this issue, this paper constructs an optimal energy flow (OEF) model for the coordinated operation of the IHES considering the multiple dynamics. The dynamic heating system model is formulated as a set of nonlinear partial differential and algebraic equations (PDAE). The dynamic CHP model is formulated as a set of nonlinear differential and algebraic equations (DAEs). Then, the finite difference method (FDM) is adopted to make the dynamics tractable in the OEF. On this basis, a comprehensive OEF model for IHES is proposed. Simulations in two cases verify the effectiveness of the proposed method and highlight the significance of the dynamics in IHES.

LAPAROSCOPIC COLORECTAL SURGERY: ANALYSIS OF THE FIRST OPERATIONS

The aim of the research: to analyze the initial experience of the introduction of laparoscopic technologies in the surgical treatment of patients with colorectal cancer (CRC).&#x0D; Materials and Methods. Our experience in performing laparoscopic operations includes 7 patients (3 men and 4 women) on CRC who underwent laparoscopic operations in the Ternopil Regional Clinical Hospital from December 2021 to July 2022. The mean age of patients was 64,42 ± 10,87 (range 46-75). All patients underwent preoperative 3D-CT angiography and vascular anatomy of the mesentery. 4 patients had previously undergone surgery and had a connective tissue laparoscopic viscerolysis. In 2 patients, the tumor grew into the lateral abdominal wall, pelvic lateral wall and loop of the small intestine, respectively, combined operations were performed. D3 lymphadenectomy was performed in 2 cases and D2 lymphadenectomy was performed in 5 cases. Stapler intracorporeal anastomosis was applied to 3 patients, manual extracorporeal anastomosis was applied to 3 patients. 3 patients receive adjuvant chemotherapy. Statistical analysis was performed using Statistica 64 software. Ordinal data were calculated using the median.&#x0D; Results. The average blood loss was 120±73,7 ml (range 40-250 ml). Intraoperative time was 242,86±45,44 minutes (interval 180-300 minutes). The average number of removed lymph nodes was 16,57 ± 8, (range 12-35). According to the TNM classification, stage T1 was detected in 1 patient, T2 -2, T3 - 3, T4a - 2, T4b – 1. Three patients were diagnosed with a high (G1) degree of adenocarcinoma differentiation, 2 patients were diagnosed with a moderate (G2) degree, while a low (G3) degree was diagnosed in 2 patients. Metastasis to regional lymph nodes were detected in 3 patients. In 3 cases, the macrodrug was removed through a 4-cm Pfanenstiel incision, in 2 cases through a 5-cm incision above the umbilicus, in 1 case through access in the left mesogastric area, where a sigmoid was later formed, and in 1 case through the perineum. We did not observe any cases of anastomosis leakage or 30-day mortality. In 1 patient the postoperative period was complicated by the development of pseudomembranous colitis. R0 resection was achieved in all patients. During the laparoscopic resection of the sigmoid colon in a patient with a T1 tumor, there were difficulties in locating the tumor, the situation was resolved by intraoperative colonoscopy. In the future, we plan to use the technique of endoscopic marking with the help of special stewed paints. The treatment of 3 patients at the pre- and postoperative stages was carried out according to the fast-track protocol, respectively, the patients were discharged from the hospital 3-4 days after the operation&#x0D; Conclusions. Laparoscopic surgery is safe and feasible for colorectal cancer and has resulted in improved short-term outcomes and equivalent oncological outcomes compared with open surgery, even in the setting of colon obstruction. Good selection of patients, preoperative 3D CT-angiography and management of patients according to the program of accelerated rehabilitation are the keys to reducing postoperative complications and faster recovery of patients.

GN-CNN: A Point Cloud Analysis Method for Metaverse Applications

Metaverse applications often require many new 3D point cloud models that are unlabeled and that have never been seen before; this limited information results in difficulties for data-driven model analyses. In this paper, we propose a novel data-driven 3D point cloud analysis network GN-CNN that is suitable for such scenarios. We tackle the difficulties with a few-shot learning (FSL) approach by proposing an unsupervised generative adversarial network GN-GAN to generate prior knowledge and perform warm start pre-training for GN-CNN. Furthermore, the 3D models in the Metaverse are mostly acquired with a focus on the models’ visual appearances instead of the exact positions. Thus, conceptually, we also propose to augment the information by unleashing and incorporating local variance information, which conveys the appearance of the model. This is realized by introducing a graph convolution-enhanced combined multilayer perceptron operation (CMLP), namely GCMLP, to capture the local geometric relationship as well as a local normal-aware GeoConv, namely GNConv. The GN-GAN adopts an encoder–decoder structure and the GCMLP is used as the core operation of the encoder. It can perform the reconstruction task. The GNConv is used as the convolution-like operation in GN-CNN. The classification performance of GN-CNN is evaluated on ModelNet10 with an overall accuracy of 95.9%. Its few-shot learning performance is evaluated on ModelNet40, when the training set size is reduced to 30%, the overall classification accuracy can reach 91.8%, which is 2.5% higher than Geo-CNN. Experiments show that the proposed method could improve the accuracy in 3D point cloud classification tasks and under few-shot learning scenarios, compared with existing methods such as PointNet, PointNet++, DGCNN, and Geo-CNN, making it a beneficial method for Metaverse applications.

Optomechanical computing in liquid crystal elastomers.

Embodied decision-making in soft, engineered matter has sparked recent interest towards the development of intelligent materials. Such decision-making capabilities can be realized in soft materials via digital information processing with combinational logic operations. Although previous research has explored soft material actuators and embedded logic in soft materials, achieving a high degree of autonomy in these material systems remains a challenge. Light is an ideal stimulus to trigger information processing in soft materials due to its low thermal effect and remote use. Thus, one approach for developing soft, autonomous materials is to integrate optomechanical computing capabilities in photoresponsive materials. Here, we establish a methodology to embed combinational logic circuitry in a photoresponsive liquid crystal elastomer (LCE) film. These LCEs are designed with embedded switches and integrated circuitry using liquid metal-based conductive traces. The resulting optomechanical computing LCEs can effectively process optical information via light, thermal, and mechanical energy conversion. The methods introduced in this work to fabricate a material capable of optical information processing can facilitate the implementation of a sense of sight in soft robotic systems and other compliant devices.

TREATMENT OF CONGENITAL DUODENAL OBSTRUCTION: FROM OPEN TO LAPAROSCOPIC APPROACH FOR DUODENO-DUODENAL ANASTOMOSIS.

Conginental duodenal obstruction is a relatively rare malformation. Laparoscopic operation for this condition was described for the first time in 2001, but more than 20 years later, there is still debate over the preferred method of surgical correction. We believe that laparoscopic correction of conginental duodenal obstruction is a safe and feasible method and can be used in premature infants with low body weight. Materials and Methods: From September 2017 to December 2021, 27 children with conginental duodenal obstruction were treated in our department. We were able to identify the diagnosis in 17 children during the antenatal period, while plain X-ray confirmed postnatal diagnosis. In doubtful cases the contrast fluoroscopy was performed. Four children underwent open correction of the defect via a circumbilical approach, while laparoscopic duodeno-duodenal anastomosis using the Kimura technique was performed in the remaining 23 children. Results: Intraoperative complication in the form of duct injury was observed in 1 patient with an atypically located Wirsung duct. In the postoperative period, anastomotic failure was noted in 2 children, and perforation of the duodenum was detected in 2 patients. The mortality rate comprised 26%, which was partly attributed to severe concomitant pathologies. The use of prolonged epidural analgesia in combination with laparoscopic surgery provided early weaning from mechanical ventilation and transfer from the intensive care unit. Enteral feeding was initiated on postoperative day 5, and the average length of hospital stay was 29±10.5 days. Conclusion: There are no limitations to performing laparoscopic correction of congenital duodenal obstruction. When there are accompanying congenital defects, minimally invasive technology allows to perform combined operations on organs of the thoracic and abdominal cavity, which reduces the overall surgical time. In combination with prolonged epidural analgesia, laparoscopic technique reduces the length of stay in the intensive care unit and the need for parenteral nutrition, which ultimately lowers the risk of inflammatory complications and treatment costs.