Power Grid Construction Research Articles

Research on Comprehensive Evaluation Model of Regional Power Grid Construction Cost Based on Combined Weight

With the introduction of the "carbon peak, carbon neutrality" action plan, it has become an inevitable trend to invest in promoting supply-side structural adjustment and demand-side response to achieve bilateral development. Therefore, the construction expansion and construction cost assessment of key areas of power grid in the future are the focus of power enterprises. In this paper, a comprehensive evaluation model of regional power grid construction cost suitable for various environments is proposed. The ANP-CRITIC method, which combines the analytic hierarchy process with the CRITIC objective evaluation method, is used to determine the subjective and objective weights of the indicators. The comprehensive evaluation results are obtained by calculating the combined weights based on Euclidean distance. In terms of model verification, based on PEST theory, this paper constructs a regional power grid construction cost index system from 4 levels: political environment, economic environment, social environment and technical environment. Through the evaluation and analysis of regional examples, the rationality of the model is verified, and the lowest expected construction cost area is selected to assist enterprise decision-making and ensure the effective realization of power grid construction benefits.

Study on The Applicability of Drones in The Process of Forming Towers of 500KV Transmission and Substation Lines in Highland Areas

With the continuous development of science and technology in China, China's aviation field has also been expanding, the rapid development of aviation technology, China has gradually achieved leapfrog development in UAV equipment, and gradually tends to civilization, practicality and commercialization. At present, more and more UAVs are not only opening up in the domestic market, but also have flowed to overseas markets, and the modern advanced technology represented by UAVs has gradually become the current trend development trend. In the field of electric power engineering construction, the use of drone technology is short and wide, and there are drones in both high-altitude areas and plain areas. In terms of the engineering field, the UAV technology involves the construction, monitoring and management of power grids, fault and equipment maintenance of power grids and transmission line inspection, etc.

Dynamic Response of Transmission Tower-Line Systems Due to Ground Vibration Caused by High-Speed Trains

With the continuous expansion of the scale of power grid and transportation infrastructure construction, the number of crossovers between transmission lines and high-speed railways continues to increase. At present, there is a lack of systematic research on the dynamic characteristics of transmission tower-line structures crossing high-speed railways under vehicle-induced ground vibration. This article focuses on the phenomenon of accidents such as line drops when crossing areas in recent years and establishes a high-speed train track foundation soil finite element model in ABAQUS that considers track irregularity. The three-dimensional vibration characteristics and attenuation law of train ground vibration are analyzed. Acceleration data for key points are also extracted. A separate finite element model of the transmission tower-line system is established in ANSYS, where acceleration is applied as an excitation to the transmission tower-line system, and the coupling effect between the tower and the line is considered to analyze its dynamic response. Subsequently, modal analysis is conducted on the tower-line system, providing the vibration modes and natural frequencies of the transmission tower-line structure. The effects of factors such as train speed, soil quality, and distance from the tower to the track on the dynamic response of the transmission tower-line system under vehicle-induced ground vibration are studied. The results show that the speed range (300 km/h–400 km/h) and track distance range (4.5 m–30 m) with the greatest impacts are obtained. The research results can provide a reference for the reasonable design of transmission tower-line systems in high-speed railway sections.

Violation with concerns of safety: A study on non-compliant behavior and the antecedent and consequent effects in power grid construction

Non-compliant behaviors have been indicated to be leading indicators of accidents in workplaces. Though most studies treat intentional non-compliant behavior or violations as monolithic indicators for adverse safety performance, non-compliant behaviors might take different forms with distinct motives and outcomes. To examine and compare the effects of different forms of non-compliant safety behavior, we proposed a construct of risk-adjusted non-compliant behavior, which refers to employees' deliberate deviation from safety rules while considering safety concerns and adjusting their behavior accordingly, and investigated the differential antecedent effects by contextual factors and consequential effects on safety outcomes. By a sample of 390 workers and their supervisors in a power grid construction firm, the results of our study indicated that safety climate and transformational leadership were positively associated with safety compliance and negatively associated with violation by multi-level analyses. However, active transactional leadership also had a positive association with risk-adjusted non-compliant behavior, and this association was moderated by safety climate such that the relationship was stronger in higher level of safety climate. Furthermore, although risk-adjusted non-compliant behavior did not significantly affect penalties for deviance compared to violation behavior, it increased the workers' risk perception of hazard. The implications of these findings for theory were discussed.

Research on environmental protection and water and soil conservation technology of power grid engineering mechanized construction based on modular design

In the construction and development of modern society, power grid engineering as an important content of urban construction and development and protection of residents' quality of life, in the face of the expanding scale of power grid investment, power grid project construction shows a rapid growth trend. With the continuous development of social economy and smart grid construction needs, the requirements of power grid construction quality and construction period are getting higher and higher. On the basis of understanding the research status of mechanized construction of power engineering, this paper mainly discusses the principle and structure of modular design by taking the actual soil and water conservation measures on site as an example, and then takes the mechanized construction of power engineering in a certain area as an example to determine the construction environmental protection technology, in order to improve the comprehensive level of China's power grid construction.

Insulation aging diagnosis and defect location of crosslinked polyethylene cable in the distribution network based on radio frequency identification

With the expansion of power grid construction, the regulatory requirements of various equipment are increasing. Further, the safe and stable operation of the distribution network plays a crucial role in the entire power system. In particular, the cables in DNs are prone to aging during long-term operation due to various factors, such as electricity and heat. Therefore, the effective diagnosis of their operating status is necessary. Crosslinked polyethylene (XLPE) is widely used as the main insulation material for cables in power systems. In this study, the microscale and macroscale performance of the molding process of XLPE cables were compared. Wireless radio frequency identification (RFID) technology was used to diagnose the aging and locate the defects of XLPE cables in the DN. The experiment noted the average insulation crosslinking degree of 88.93% and 87.98% for the suspension chain- and tower-type XLPE cables, respectively. The insulation-melting and crystallization temperatures of the suspension chain-type XLPE cable were approximately 110 °C and 92 °C, respectively, and the crystallinity was approximately 36.5%. The insulation-melting and crystallization temperatures of the tower-type XLPE cable were approximately 105 °C and 88 °C, respectively, and the crystallinity was approximately 34%. Using the wireless RFID technology, the precise positioning of the local aging and insulation damage defects in XLPE cables can be achieved. The error in locating the cable defects using the high-frequency phase spectrum of the cable was less than 0.5 m. Therefore, the study on the manufacture of XLPE cables has significant impact on the physical and chemical properties of their insulation layer. Further, the cable inspection using the wireless RFID technology provides a guarantee on the safe operation of the power system.

The potential application of the triboelectric nanogenerator in the new type futuristic power grid intelligent sensing

AbstractTo meet the requirements of power grid operation control, constructing an extensive sensor network in the power grid is a future development trend. However, due to the high cost, the difficulty of continuous power supply for a long time, the large amount of energy consumption, and the environmental problems caused by abandoned batteries, the traditional power supply mode based on batteries for sensors is inconsistent with China's goal of carbon peak and carbon neutrality. It cannot meet the needs of the future grid. Therefore, it is significant to solve the energy supply problem of numerous sensors to promote the construction of new power grid and improve the utilization rate of renewable energy. As an emerging energy harvesting device, triboelectric nanogenerators (TENG) are suitable for developing self‐powered sensors and powering low‐power sensors due to their mall size, high efficiency, low cost, and environmental friendliness. At the same time, due to the abundant, stable, and widely distributed magnetic field around the equipment in the grid, it can provide continuous excitation for the TENG. Therefore, applying magnetic field energy‐harvesting TENG in the future power grid has a broad development prospect. This paper analyzes the development trend and the crucial problems facing the power grid in the future. We review the research and application of TENG based on the magnetic field in recent years and explain the mechanism of TENG in detail. Finally, the application prospect of TENG in the future power grid has been prospected. This paper can provide a reference for applying magnetic field energy harvesting triboelectric nanogenerators in future power grids.image

Discussion on the integration of intelligent substation operation and maintenance

In the development of intelligent power grid system construction in China, the scale of urban power grid construction is getting larger and larger. How to realize the integration of substation operation and maintenance has become the main issue explored by scholars in the field. Because there are still many problems in the operation and maintenance management of intelligent substation, such as ignoring safety measures, rising work risk factor, lack of high-quality talents, etc., the construction of smart grid should explore how to change from the traditional management mode to the integrated operation and maintenance mode. After understanding the basic concept of integrated operation and maintenance mode of intelligent substation, this paper mainly explores the system construction and application effect of integrated operation and maintenance management of intelligent substation according to the basic objectives and common problems of practical management, and finally proposes effective countermeasures for specific problems.

Scale value guided Lite-FCOS for pointer meter reading recognition

As intelligent power grid construction advances, substation inspection becomes crucial, particularly in identifying meter readings. Existing meter reading methods are mainly based on the relationship between pointer and scale. However, these methods commonly suffer from the issue of over-relying on prior reading information, limiting readings to known meters. Hereby in this paper, we propose a method reaching more accurate and robust performance for meter reading by utilizing the unnoticed scale value. We determine the meter pointer direction with the aid of Hough transform and the pointer distribution. To detect meters from the scene as well as obtain scale values and pointers from the meter dial, we build an object detection network, named Lite-FCOS, whose backbone adopts a fast global context network that is lightweight and is of powerful feature extraction capabilities. For training these, meter dial detection dataset and dial reading information dataset are constructed. Lite-FCOS achieves 94.4 mAP50 and 96.7 mAP50 on the above two datasets with only 4.2 M parameters and 56.2 FPS. The entire pointer meter reading recognition process only spends 52 ms on an RTX 3080Ti with a successful meter reading rate (SMR rate) of 89.6%, which indicates that the proposed method achieves promising accuracy and speed.

SP-YOLO-Lite: A Lightweight Violation Detection Algorithm Based on SP Attention Mechanism

In the operation site of power grid construction, it is crucial to comprehensively and efficiently detect violations of regulations for the personal safety of the workers with a safety monitoring system based on object detection technology. However, common general-purpose object detection algorithms are difficult to deploy on low-computational-power embedded platforms situated at the edge due to their high model complexity. These algorithms suffer from drawbacks such as low operational efficiency, slow detection speed, and high energy consumption. To address this issue, a lightweight violation detection algorithm based on the SP (Segmentation-and-Product) attention mechanism, named SP-YOLO-Lite, is proposed to improve the YOLOv5s detection algorithm and achieve low-cost deployment and efficient operation of object detection algorithms on low-computational-power monitoring platforms. First, to address the issue of excessive complexity in backbone networks built with conventional convolutional modules, a Lightweight Convolutional Block was employed to construct the backbone network, significantly reducing computational and parameter costs while maintaining high detection model accuracy. Second, in response to the problem of existing attention mechanisms overlooking spatial local information, we introduced an image segmentation operation and proposed a novel attention mechanism called Segmentation-and-Product (SP) attention. It enables the model to effectively capture local informative features of the image, thereby enhancing model accuracy. Furthermore, a Neck network that is both lightweight and feature-rich is proposed by introducing Depthwise Separable Convolution and Segmentation-and-Product attention module to Path Aggregation Network, thus addressing the issue of high computation and parameter volume in the Neck network of YOLOv5s. Experimental results show that compared with the baseline network YOLOv5s, the proposed SP-YOLO-Lite model reduces the computation and parameter volume by approximately 70%, achieving similar detection accuracy on both the VOC dataset and our self-built SMPC dataset.

CO2 emissions of constructing China's power grid towards carbon-neutral target: Based on top-down and bottom-up integrated model.

Power sector is the largest industrial emitter in China, and renewable energy development would contribute to the large-scale construction of power grid. Mitigating carbon emissions of power gird construction is extremely important. So, the objective of this study is to understand embodied carbon emissions of power grid construction under carbon neutrality target, and then put forward to policy implications of carbon mitigation. This study, based on top-down and bottom-up integrated assessment models (IAMs), investigates carbon emissions of power grid construction towards 2060, through identifying the key driving factors and forecasting their embodied emissions in line with China's carbon neutrality target. Our results show that, the increase of Gross Domestic Product (GDP) dominates the increase in embodied carbon emissions of power grid construction, while energy efficiency and energy structure improvement contribute to the decrease. Large scale renewable energy development promotes the power grid construction. In 2060, total embodied carbon emissions would increase to 1105.7 Million tons (Mt) under the carbon neutrality target. However, the cost and key carbon-neutral technologies should be re-considered to ensure the sustainable electricity supply. The results could provide data reference and decision-making of designing power construction and mitigating carbon emissions of power sector in future.

Analysis of distribution network planning with distributed power supply based on ELM algorithm

Abstract With the development of the social economy, the importance of energy and environmental issues is becoming more and more prominent. Distributed power sources (DG) have the advantages of low carbon and environmental protection, flexible control, and low investment cost, but their nodes in the grid are random, which will increase the complexity and uncertainty of grid operation after grid connection. In this paper, we study the planning path of DGs in distribution networks and the protection technologies involved. Firstly, we focus on the impact of DG access on the protection of distribution networks and the impact of different access capacities and access locations of DG on the protection of distribution networks. Second, after studying the current status of the application of traditional genetic algorithms in distribution network fault location, a two-layer planning model based on the modified extreme learning machine algorithm (MPSO-ELM) is proposed, with the load demand guaranteed by the first layer of power allocation and the fault location incorporated into the distribution network protection scheme in the second layer. Finally, simulations are performed to compare and demonstrate the advantages of this MPSO-ELM algorithm. The simulation results show that the MPSOELM algorithm converges faster than the traditional genetic algorithm by 7s, the average operating speed of power nodes is 3.61ms faster than the traditional genetic algorithm by 5.59ms, and the accuracy in fault location is improved by 23.14%. The simulation results verify the comprehensiveness, accuracy, and high efficiency of the ELM algorithm for double-layer planning of distribution networks containing distributed power supplies, which is important for improving the level of power grid construction and avoiding the risk of power grid construction.

Research on electromagnetic scattering characteristics of high voltage transmission lines considering rough surface

With the continuous construction of the UHV power grid in China, the electromagnetic scattering of electromagnetic waves from random rough surfaces will have a certain impact on the passive interference of high-voltage transmission lines. To solve the problem of solving the propagation law of electromagnetic scattering in the electromagnetic interference of high-voltage transmission lines to radio stations, this paper is based on the approximation method and moment method of electromagnetic scattering, This paper explores the influence of lossless rough surface and lossy rough surface on the passive interference of high-voltage tower line, focusing on the influence of sea level and dielectric constant of seawater on the electromagnetic scattering characteristics of the target under the sea background, and obtains the general law.

Research on Risk Evaluation Index System and Model of Power Grid Construction Project

Power grid engineering projects mainly refer to the power grid infrastructure and technical transformation projects, such projects have the characteristics of huge investment amount, complex construction process, long cycle and many risk factors. The planning, construction and operation process are affected and restricted by many factors, and the consequences of risks are relatively serious. Firstly, this paper analyzes the risk theory of power grid construction project from the aspects of related concepts, project implementation process, risk assessment, risk prevention, etc. Secondly, the risk evaluation index system of power grid construction projects is constructed from the aspects of risk identification theory, index selection principle and design process. Thirdly, based on the analysis of evaluation methods, the relative evaluation models are compared, selected and improved, and the risk evaluation model of power grid construction projects is constructed. Finally, it put forward the grid construction project risk management measures, including the development of risk management plan, risk avoidance, risk control, risk transfer, unique risk prevention, risk monitoring and other risk prevention strategies.

Research on high‐precision synchronous output technology of multi‐reference source weighted synthesis in power system

AbstractThe massive perception data based on efficient analysis and intelligent decision have put forward higher requirements for high‐precision time synchronisation with the construction and development of smart power grid. However, multi‐reference source time‐frequency synchronisation of power system only selects the best method after comparison, which cannot make the most efficient use of the existing resources. It also cannot meet the need for high‐precision time synchronisation of future power system. The existing multi‐reference source synthesis algorithms cannot take into account both long‐term stability and high‐precision synchronous output. This article presents a multi‐reference source weighted improved noise model and the high‐precision output method. The multi‐reference source error after classification is eliminated by leading into classification vector and classification coefficient. The synthesised frequency offset or the time precision of output can be optimised as the objective function by weighted classification algorithm and genetic algorithm. A simulation example based on the synthesis of two satellite system clock sources and three local caesium reference sources shows that the peak value of long‐term output accuracy is controlled within 10 ns after classification weighted synthesis and optimisation, which is better than that of any single reference source.

Research on Power Transmission Tower Planning Method Based on Real Terrain and Surface Feature

With the rapid development of power grid construction in China, the engineering construction conditions of overhead lines have changed. Further research is needed on the combination scheme of general design technical conditions of lines, tower planning, and design, etc., to meet the application requirements of the actual line projects in China for the general design of transmission line towers. This research adopts the pole and tower planning method that conforms to the real terrain and terrain conditions and considers the actual constraint information, such as the terrain, crossing trees, power lines, and railways, to carry out the planning and design of transmission line poles and towers.

Design and development of power data service platform based on multi dimension

Abstract With the acceleration of power grid modernization, the scale of power grid is expanding. Running operations are becoming increasingly complex. There is a great demand for the analysis and calculation of the operation status of the power grid, line transformation design, fault analysis and treatment, etc. At the same time, with the construction of modern power grids and the continuous development of the power industry, the security problems of power systems have become increasingly prominent. This paper introduced the background of the power data service platform and then conducted academic research and summary on the research and development and design of power data service platform and multidimensional power data service platform. Then it was summarized with the analysis of international journals of emerging power systems. After establishing the algorithm model, the spark platform algorithm framework various algorithms were proposed to provide a theoretical basis for the R&D (research and development) and design of the multidimensional power data service platform. Then it analyzed the factors related to the R&D and design of power data service platform. At the end of the article, the simulation experiment was carried out, and the experiment was summarized and discussed. The experimental results showed that the average value of the neural network on the three criteria is 78.03 %. Therefore, the stability rate, accuracy rate, and recall rate of such algorithms as neural network are excellent in the research and development and design of power data service platform.

Optimisation analysis of distribution network planning based on the IVIF-AHP method

Abstract Distribution network planning is an important task in the process of power grid construction and development. Scientific and rational planning is the key factor for the economic construction and reliable operation of the power grid. Aiming at the difficulty in quantifying the weight of distribution network planning schemes, a comprehensive evaluation method of distribution network planning schemes based on the interval-valued intuitionistic fuzzy analytic hierarchy process method is proposed. First, a comprehensive evaluation index system is established from the four aspects of power supply, namely reliability, economy, power supply quality and safety of the distribution network. Then, a comprehensive evaluation method of electricity reliability optimised by entropy weight method is adopted by analytic hierarchy process, which considers both subjective situation and objective weighting. At the same time, the comprehensive weight of the aggregation of the criterion layer and the scheme layer is calculated. Finally, the link between the aggregation matrix and the index weights of the criterion layer is used to calculate the weights of the scheme layer so that they can be sorted out. The experimental results show that the effectiveness and feasibility of the planning and analysis indicators and evaluation methods of the method proposed in this paper are verified by a numerical example.

Design of High-strength Material Non-dismantling Docking Assembly

The construction technology of tower erection by segments with the cranes on the basis of the docking assembly has been applied in multiple cities and provinces in China. The docking assembly reduces the number of hoisting times, and lowers the safety hazards. However, the docking assembly which is an independent structure and made of common materials currently needs to be installed on and dismantled from the tower for each use, and each component is heavy. To address the above problems, the high-strength material non-dismantling docking assembly is studied to develop a design scheme which reduces the weight and eliminates the installation and dismantling work of docking assembly. Its successful engineering application shows that the use of high-strength materials effectively reduces the weight of the docking assembly and the docking assembly developed is safe and reliable, which greatly improves the efficiency of tower erection and reduces labor intensity. The project study results provide a reference for the design of high-strength material non-dismantling docking assembly for other types of transmission towers in the construction of power grids.

Research on Energy Extraction Devices Based on High-Voltage Line Monitoring Technology

With the construction and development of an intelligent power grid, the voltage level of transmission lines is constantly improved. The distribution of power grids is increasingly broad, the climate environment along the transmission lines is complicated, the safe and reliable operation of transmission lines is facing significant challenges, and the inspection and maintenance workload of transmission lines is also increasing. Currently, only 20% of the online monitoring devices of transmission lines installed by the State Grid can operate normally. Power failures cause the most. It can be seen that it is necessary to develop an efficient and reliable power supply to improve the reliability of online monitoring devices of transmission lines. In order to enable the transmission lines to operate independently without maintenance for a long time, now the power grid needs an energy harvesting device with good stability, high energy harvesting efficiency, and strong resistance.