Energy Transmission Lines Research Articles

Assessment, identifying, and presenting a plan for the stabilization of loessic soils exposed to scouring in the path of gas pipelines, case study: Maraveh-Tappeh city

Dealing with collapsible soils consistently presents a crucial challenge for geological and geotechnical engineers. Loess soil is among the most widely recognized types of collapsible soils, covering approximately 10 % of the Earth's land surface. Loessic soil is a sedimentary deposit primarily composed of silt-size grains, loosely bound together by calcium carbonate. In Iran, approximately 17 % of Golestan province is covered by silty, clayey, and sandy loesses, primarily composed of loessic soil. Additionally, several energy transmission lines in this province traverse these loess-covered areas. Based on the reports from Golestan Gas Company experts, the scouring of gas pipeline channels in various regions, such as Dashli-Alum in Maraveh-Tappeh city, causes significant risks in the traffic roads and is one of the most critical issues facing this company. This research assessed the dispersion and collapse potentials of loess soil using a range of field exploration and laboratory testing methods. These methods included atomic absorption spectroscopy, the double hydrometer, scanning electron microscope photography, wavelength-dispersive X-ray fluorescence spectrometry, and consolidation tests. The results indicate that soil collapsibility was acquired as one of the components of the scouring phenomenon occurrences. To achieve an optimal solution, the effectiveness of the chemical stabilization method involving cement, bentonite, micro-silica, and synthesized nano‑titanium additives was evaluated through an oedometer, Atterberg limits, uniaxial compression, and direct shear tests. Additives dry mixing of cement and nano‑titanium were obtained as the optimal stabilization solutions against scouring compared to other additives. However, considering the environmental impacts of cement production and use, nano‑titanium presents a more environmentally sustainable option due to CO2 absorption and reduced damage potential to vegetation.

Разработка ВТСП кабельных линий для систем вывода мощности от источников генерации и протяженных линий передачи энергии

The article discusses general approaches to the development of HTS cable lines for long energy transmission lines and power output systems from generation sources, as part of a new technological structure of the energy industry. The use of the superconductivity effect makes it possible to achieve power transmission levels of 0.5-2.0 GVA or more without significantly increasing weight and size characteristics while simultaneously reducing energy losses. The results of theoretical estimates are presented, showing the possibility of reducing energy losses to a level of no more than 3% of the transmitted power and creating HTS power transmission lines up to 100 km long. It is shown that the accumulated experience makes it possible to start implementing pilot projects using superconducting cable lines, however, such developments will require taking into account many factors, including infrastructural technical and economic aspects.

Research on New Energy Transmission Line Fault Localization Method Based on APSVMD-NTEO

Abstract Given the new energy transmission line fault, traveling wave head detection difficulties, wave speed uncertainty, positioning errors, and other problems, this paper proposes a new Teager energy operator based on adaptive parameter selection variational mode decomposition (APSVMD) and new energy transmission line fault location method (NTEO). The envelope fuzzy entropy is introduced to select the key parameters of SVM, and the sampling range of the Teager energy operator (TEO) is improved to effectively improve the capture accuracy of the wave head. In terms of fault location, by improving the double-ended traveling wave method, the uncertainty of wave speed and the effect of actual line length error is eliminated, and the ranging error is reduced.

A novel trading optimization strategy of source-load bilateral thermoelectric spot based on industrial parks interior

With the continuous reform of the electricity market in the whole world, internal trading models in parks are generally studied in terms of load peaking, load flexibility and energy management. In this paper, the regional differential trading method is adopted for industrial users with different energy needs, and the interests of all parties within the industrial park are considered. Spot transactions involving surplus energy on both the supply side and the demand side are considered, and the weight allocation of transactions in each park is coordinated. Firstly, the way of circulating waste heat and power within the industrial park is analyzed from the composition of the trading system of the industrial park. The demand side is transported heat and electricity while the energy storage device is considered. The contact line is modeled on the basis of the energy transmission line characteristics. Secondly, the industrial park is disaggregated regionally using cascade analysis within the target area to decide load regulation mode between systems and modules. Thirdly, regional differences in trading are adopted for industrial users with different energy needs while the interests of all parties within the park are considered. Both sides of the supply side and the demand side participate in spot trading of surplus energy. The allocation of weights is coordinated for trading in the various industrial parks. Finally, The DICOPT solver optimizes operating costs and takes into account energy abandonment penalties. In the waste heat power transaction in the industrial park, the remaining power can be saved by 9.78 %, and the waste heat can be saved by 4.35 %. Numerical results from instances indicate that this method surpasses traditional trading approaches, aligning with the rigorous standards of scientific research.

The Indirect Effect of Lightning Electromagnetic Pulses on Electrostatic, Electromagnetic Fields and Induced Voltages in Overhead Energy Transmission Lines

The impact of a lightning electromagnetic pulse (LEMP) on a power line or power station produces an effect similar to that of switching between a significant power source and a power line circuit. This switch closure causes a sudden change in routing conditions, creating a transient state. This situation has been studied in terms of electrostatic and electromagnetic induction, as well as overvoltage changes. Appropriate mathematical models were used to analyze these changes. While vertical electric field analysis has been carried out in a few studies, magnetic field and horizontal electric field vectors have not been studied. In this study, the Rusck formulation and the Heidler current formulation are combined at the current level, developed and analyzed. This is because the Rusck expression can sometimes give incorrect results at the current level. Also, in the analysis, electromagnetic field formulations based on accelerating charges are used instead of the dipole approximation to eliminate the need for interpolation in the graphical results. In contrast to other studies in the literature, this study proposes the use of moving and accelerating load techniques to better understand the effects of LEMPs on power transmission lines. Also, in this study, the double exponential problem of the current form in Rusck’s formulation is addressed in order to obtain a close approximation of the physical form of the LEMP. Additionally, the field–line (coupling) relationship is studied according to a unique closed formulation, leading to important determinations about the overvoltages generated on a line depending on the propagation speed of the LEMP sprout and the electrical changes in the area where the LEMP first occurs.

Protection Scheme Based on Estimated Traveling Wave Arrival Times for Renewable Energy Transmission Line

Protection Scheme Based on Estimated Traveling Wave Arrival Times for Renewable Energy Transmission Line

New energy transmission line fault location method based on Pearson correlation coefficient

The access of new energy power source makes the traditional transmission line structure become complex, and due to the influence of power electronic device control strategy, the fault characteristics have been fundamentally changed, resulting in the traditional transmission line fault localization method can not be applied to the new energy sending line. To address the above problems, this paper analyzes the transient current characteristics of different power supply faults, and learns that there are obvious differences in the transient currents on both sides of the fault point inside and outside the transmission line area, and then proposes a new energy transmission line fault localization method based on the Pearson correlation coefficient, which determines the fault location by calculating the correlation coefficients of the fault waveforms of the neighboring monitoring points. Finally, comparative experiments are carried out under different fault types and fault locations to further verify the applicability of the proposed method.

The Selection of the Suitable Renewable Hybrid Pairs: A Case Study

The renewable hybrid energy system may be quite an energy that uses the same energy infrastructure. Although hybrid energy structures are fed from different types of renewable energy sources, they are systems that give energy to the grid over the same busbar and energy transmission line. The amount of energy that hybrid energy systems can deliver to the grid is limited by the installed capacity of the main source. A well-designed hybrid system can produce more stable electricity throughout the year. The advanced technology networks of various energy sources guarantee the very best efficiency in energy production. Hybrid energy systems combine centralized and non-local storage with intelligent and low-loss control and energy consumption. Also, energy management is provided owing to this integrated renewable hybrid system. During this study, a brand-new algorithm was designed for renewable hybrid selection. Algorithm and integrated renewable hybrid systems are clarified by a case study. A solar power system is used as one of the hybrid pairs for all renewable energy sources.

Detection of Potential Faults in the Electricity Distribution Network Using Unmanned Aerial Vehicles and Thermal Cameras Through Deep Learning Methods

In this article, a software-based unmanned aerial vehicle (UAV) prototype has been developed for exploration purposes, replacing the current manual inspection of energy transmission lines (ETLs) by human teams. The UAV's capabilities address the limitations of human viewing angles, ensuring more efficient exploration activities. Real-time exploration is now achieved through data collected with UAVs and processed using Convolutional Neural Networks (CNNs) and image processing techniques. The UAV’s path and detected objects are autonomously processed in the Cartesian coordinate system. The autonomous conductor tracking system provides bidirectional tracking of conductors in the distribution network through color space range and Faster R-CNN conductor detection. Incorporating a proportional-integral-derivative (PID) design, the UAV is capable of operating in adverse weather conditions. An additional overheating warning system protects equipment in the electricity distribution network (EDN) from potential issues related to uneven load distribution, economic life, and labor errors. Through modeling studies with convolutional neural networks and field data, impressive F-1 scores have been achieved for detecting various anomalies: 77% for trees in contact with the line, 67% for concrete equipment exceeding its economic life, 88% for bird nests, 55% for cracked porcelain insulators, 89% for foreign objects, and 97% for nonuse of original fuses.

Energy efficiency analysis of energy facilities using ranking methods

RELEVANCE. Increasing energy efficiency is one of the necessary conditions for modernizing the Russian economy. High energy intensity and energy efficiency analysis are due to the combined influence of a number of factors, both global and private. Thus, for electric grid organizations the problem of energy efficiency is a priority. Having at their disposal electrical grid facilities, including points of reception and transmission of electrical energy, electrical equipment and power transmission lines, electrical grid organizations incur huge losses caused by losses during the transmission of electrical energy, losses associated with the unaccounted share of electricity, as well as third-party factors. OBJECT. Conduct an analysis of the energy efficiency of an electric grid organization that has 10 branches. Form a hierarchy of energy efficiency indicators, determine the impact of each indicator on the integral indicator that reflects the energy efficiency of the facility. Conduct benchmarking, identify leaders and outsiders among power grid organizations. METHODS. To calculate the weight coefficients, the method of analysis of hierarchies in the classical and fuzzy formulations was used. Energy efficiency benchmarking was carried out by ranking power grid organizations according to the integral indicator of energy efficiency. RESULTS. A three-level hierarchy of energy efficiency indicators has been formed. A decision-making algorithm is presented when analyzing the energy efficiency of energy industry facilities. The weight coefficients of indicators and integral values of energy efficiency of organizations are calculated. The indicators that have the greatest impact on the overall efficiency of the facility were identified. A summary diagram of comparison of all branches has been formed, the most and least successful organizations have been identified. CONCLUSIONS. The analysis of energy efficiency, carried out using two methods of analysis of hierarchies, made it possible to identify the advantages and disadvantages of the classical representation of the method. Determination of leaders within the branch structure of the electric grid organization allows us to analyze the methods used to improve energy efficiency, as well as to introduce them in the future to less successful branches.

Multi-stage planning of integrated electricity-gas-heating system in the context of carbon emission reduction

In order to facilitate the carbon emission reduction to mitigate climate change, this paper proposes a coordinated multi-stage planning strategy for the transmission-level integrated electricity-gas-heating system. The strategy coordinates installations of gas-fired generation plants, renewable energy plants, gas wells, power-to-gas plants, transmission lines and pipelines, considering retirements of coal-fired generation plants. It can help facilitate carbon emission reduction of the electricity system as well as the integrated energy system. The objective is to minimize the total present value of the investment and the operation economic cost, with consideration of constraints from each sub-system and carbon emission restriction. In the case studies, the proposed planning strategy is verified to be able to obtain the installation plan of the related facilities. With which the system can reduce the proportion of fossil fuel energy utilization and increase renewable energy utilization. Hence, carbon emission reduction is achieved. In addition, it has demonstrated that integrating the multi-energy systems can help reduce the economic cost in the planning result.

Location selection criteria for a military base in border region using N-AHP method

<abstract> <p>The existence of natural gas and rare mineral reserves, energy transmission lines, and sacred places within its borders makes that geography a target for other countries, whether neighboring or not. These countries spend most of their budgets on war technologies and good defense. There are many factors to consider when choosing the location of a military base, which is vital in terms of both defense and logistic support. This study aimed to determine the criteria that should be taken into account in determining the borderline security and selecting the location of military bases of great strategic importance by getting rid of the disadvantages of classical decision-making processes. For this purpose, a solution to the problem was sought with the method obtained by combining the AHP method, one of the latest approaches in the decision-making process, with neutrosophic logic. In order to enable the experts to cope with uncertain information and to prevent errors in preference values due to differences in individual approaches, three expert opinions were obtained and the Delphi method was used to increase the advantages of the neutrosophic analytic hierarchy process (N-AHP) method by utilizing the degree of consensus. Expert opinions were received to determine, prioritize, and group the criteria using the Delphi method, and after these criteria were analyzed, their importance levels were determined by weighting the criteria using the N-AHP method. Thus, an important study in which these two compatible methods were used together for the establishment of a military base was presented to researchers. When the criteria weights of the 12 sub-criteria are analyzed, it was concluded that ease of logistics access is the most important criterion for base location selection.</p> </abstract>

Power Analysis of Toroidal Core Electromagnetic Energy Harvesters for Transmission Lines

Introduction. As the need for energy increases, energy harvesting methods have also been intensively researched. Energy harvesting techniques which are a way of converting low amounts of energy from the environment into electrical energy can be used to meet the energy needs of low-power electronic devices and sensors. The increase in such sensors and devices with low power consumption also makes energy harvesting techniques more important. One of these harvesting techniques is energy harvesting from electromagnetic fields, which is obtained from transmission lines. Aim of the Article. The article is aimed at developing an effective electromagnetic energy harvester from energy transmission lines for unmanned aerial vehicles. Materials and Methods. The method of harvesting energy from transmission lines through magnetic field energy harvesting is reviewed. Theoretical analyses, Finite Element Analyses (FEA), and experimental studies are conducted on toroidal core structures designed in different sizes and with different materials. Results. Among the selected materials and under the specified line conditions, current of 0‒30 A and a frequency of 50 Hz, the highest power of 695.516 mW was harvested by the 60x30x20 sized ferrite core harvester at a line current of 30 A. Discussion and Conclusion. Detailed experiments were conducted based on the 60x30x20 mm ferrite core, which demonstrated the highest induced voltage. Different load resistances were used to find the resistance value for the highest power at each current value. The optimal load resistance for maximum power transmission was determined for each core using the curve fitting method at all current values.

Economic Analysis of Large-Scale Renewable Energy (RE) Source Investment Incorporating Power System Transmission Costs

Recently, the proportion of renewable energy (RE) sources in a power system has been increasing worldwide to reduce carbon emissions. To effectively accommodate renewable energy, there is a growing need to develop integrated planning strategies for both renewable energy sources and transmission lines in a power system, taking into account the location-specific characteristics of renewable energy. Economically viable and rapid system expansion plans are required to resolve the problem of delayed integration of renewable energy into existing power system, which arises due to inadequate transmission facilities. To address these problems, this paper presents an integrated economic evaluation method that considers the inherently uncertain output characteristics of renewable energy, contingent on location, the costs associated with installing transmission lines, and environmental benefits. The case study is conducted using a modified power system in Korea. In the case study, it is assumed that by integrating solar power generators in a low-demand area and wind power generators in a high-demand area, wind power plants have higher construction costs than solar power generators. However, the transmission costs for wind power plants are lower than those for solar power generators due to the regional characteristics of the power grid in the installation areas because renewable energy in high-demand areas typically requires less additional power infrastructure than in low-demand areas. The results of this study show that the net benefit for the wind power plant is estimated at USD 225.4 M, while the solar power plant yields a net benefit of USD 22.9 M in the example system. These results demonstrate the effectiveness of the proposed method, underscoring its potential to mitigate the challenges faced in the practical implementation of renewable energy projects.

Probabilistic optimal power flow in wind energy integrated power system based on the K‐medoids data clustering method considering correlated uncertain variables

AbstractRenewable energy sources have increasingly been integrated into power systems because of their superior environmental, technical, and economic advantages. However, the uncertainty of these sources besides load fluctuations and equipment outages brings new challenges to power system operating and planning studies. Also, the correlation between uncertain variables makes operational decisions more and more complicated. Probabilistic assessment of power systems is essential to evaluate uncertainties’ effects and make reasonable decisions. Methods with high accuracy and low computational burden are efficient for online and fast requirements such as optimal power flow (OPF) problems. A clustering method based on the K‐medoids technique is used for the probabilistic assessment of the power system in the OPF problem. Unlike other clustering techniques the K‐medoids method can manage discrete variables such as equipment outages besides other continuous variables such as load and wind generation. This paper presents an OPF problem considering the uncertainty of renewable energy sources, load fluctuations, and transmission lines outage as well as the correlation among them. The probabilistic assessment is conducted by the K‐medoids method and the optimization problem is solved by the cooperation search algorithm (CSA) as an efficient evolutionary algorithm. Numerical results using the IEEE standard 30 and 118 bus test systems show the efficiency of the proposed method in terms of accuracy and computational burden.

Spatialized Model of Susceptibility to Erosion Risk in a Energy Transmission Line in the Cerrado Biome

The installation of Transmission Lines (TL) provokes disturbances in the environment, which reacts in different ways. The suppression of vegetation, even when limited to what is necessary for the execution of the project, may cause erosive processes. Spatialized inputs have made the monitoring of large portions of land viable. Data from the GPM (Global Precipitation Measurement) constellation allows access to rainfall data even in areas which do not have pluviometric stations. Also by satellite, the landscape can be represented with SRTM (Shuttle Radar Topography Mission) images. Similarly, maps of soil erodibility and land use, necessary together so that the diagnostics methodology on the risk of erosion can be obtained. Therefore, a logic is methodologically developed in which freely obtained input data follow a conceptual model, which defines the variables and their relationships in the potential issue’s context, while having replication accessibility in mind. Of the 43 gaps present in the pilot tracing located in Minas Gerais, Brazil, four of them received the “likely” risk of erosion classification in a period without record of any meaningful rainfall. The methodology mirrors an evaluation which increases the risk as long as the rains occur.

Preparation and Performance Study of Low Surface Energy Anti-Icing Coating for Transmission Lines

A low surface energy transmission line coating material is prepared and analyzed in this paper. Firstly, the super hydrophobic coating was developed and lubricated to obtain the super slip surface coating. Then, the resulting anti-ice coating was subjected to anti-ice performance tests and ice adhesion strength tests, respectively. Finally, the obtained results were analyzed. The results show that the developed anti-ice coating can greatly reduce the amount of ice covering, reduce the ice side force, and solve the problem of icing on transmission lines at low temperatures.

Secure expansion of energy storage and transmission lines considering bundling option under renewable penetration

This paper presents a multi-stage expansion model for the co-planning of transmission lines, battery energy storage (ES), and wind power plants (WPP). High penetration of renewable energy sources (RES) is integrated into the proposed model concerning renewable portfolio standard (RPS) policy goals. The possibility of bundling existing transmission lines to uprate power flow capacity is considered. Renewable energy curtailment and load shedding are included in the model to assess the system operation more precisely. Battery ES devices are co-planned to defer transmission expansion and renewable management. To make the time complexity of the problem tractable and capture the uncertainties of load and RES in an hourly resolution, a chronological time-period clustering algorithm is used to extract the representative hours of each planning stage. Additionally, the flexible ramp reserve is utilized to handle the uncertainty of RES. An accelerated Benders dual decomposition (BDD) algorithm is developed to solve the proposed model mixed-integer linear programming (MILP) formulation. The N-1 security criterion is evaluated by considering a designed contingency screening (CS) algorithm to identify higher risk contingencies. The effectiveness of the proposed co-planning model is evaluated using IEEE RTS 24-bus and IEEE 118-bus test systems.

Detection of power transmission lines faults based on voltages and currents values using K-nearest neighbors

The critical factors to consider when implementing a maintenance plan for energy transmission lines are, accuracy, speed, and time, because of the increased global demand for electricity power caused by rapid development, and overuse of electric power transmission lines (both underground cables and overhead transmission lines), which in turn reduces the efficiency of the lines. Consequently, the efficiency of the lines may be reduced as a result of overuse or other activities like excavation that may have tampered with the cables. Thus, it becomes important to investigate the faults to which the lines are exposed. To this end, this article focuses on the detection of fault in transmission lines through the use of k-nearest neighbor algorithm. Using this algorithm, the characteristics were obtained (voltage, current), and these characteristics enable the identification of faults in the transmission lines, and in the specific location (the entire system, phase B, and phase A). The benefits that can be derived from the use of this algorithm include time, accuracy, speed, which are the requirements for the maintenance of transmission lines. Euclidean distance used in the application of the k-nearest neighbor technique for weights, and K = 3 for number of neighbors. The dataset was split into two parts, 70% training set and 30% testing set.

Maximum hosting capacity estimation for renewables in power grids considering energy storage and transmission lines expansion using hybrid sine cosine artificial rabbits algorithm

The broad spread of renewable energy sources (RESs) and storage systems increases modern power systems’ challenges and may conflict with system operation requirements. Determination of the maximum hosting capacity (HC) is crucial for utilities to estimate the maximum capacity of RESs and storage units that a network can accommodate efficiently. Several models were developed in the literature that lacks studying the impact of reliability requirements and the size of other network components on the HC levels. This paper proposes a framework to effectively maximize the hosting of RESs and storage systems in power systems. An AC optimal power flow is used to formulate the problem and consider the networks’ real operation. The objective function is formulated to expand transmission lines, allocate fault current limiters (FCLs), and ensure HC enhancement. The AC models are always complex and non-convex, and finding optimal solutions is critical. A hybrid artificial rabbits sine–cosine algorithm is developed to solve the problem, and its performance is compared to some well-known metaheuristics. The numerical studies on the Garver network and the IEE 24-bus system demonstrated that the size of different power technologies directly impacted the amount of RESs deployed. The penetration of RESs and storage systems was maximized by increasing the number of candidate circuits. The results revealed a 22 % increase in the size of RESs installed in the Garver network. Also, a 25.7 % increase in the size of RESs for the 24-bus system was obtained due to the increased candidate transmission lines. Further, an increase of 49 % was noticed in the size of storage systems built for the 24-bus system. The use of FCLs was necessary to maintain the short-circuit current below the required values. For both systems, the size of FCLs required was increased by 24.3 % and 28 %, respectively. The results also showed that the hybrid artificial rabbits sine–cosine optimizer was more efficient than other algorithms in solving the investigated problem.