Power Grid Construction Research Articles

Ontology-Guided Generation of Mechanized Construction Plan for Power Grid Construction Project

Mechanized construction is being fully implemented in the electric power infrastructure domain to ensure construction safety, enhance project quality, and improve efficiency. Traditional methods of designing mechanized construction plans are often inefficient due to their labor-intensive processes and heavy reliance on human expertise. This study introduces and evaluates an ontology-guided system designed to automate mechanized construction planning for power grid projects. The developed ontology effectively models domain-specific knowledge, enabling the semantic integration of data from various sources. By leveraging SPARQL queries, the ontology-guided system incorporates knowledge reasoning capabilities that facilitate the automated selection of construction equipment and the generation of comprehensive construction plans. A prototype system incorporating an ontology-guided mechanism has been developed, showcasing marked enhancements in efficiency and accuracy over traditional manual methods, as evidenced by case studies and expert evaluations. The research results emphasize the potential of ontology-guided systems in innovating architectural planning, providing an extensible and standardized approach. Expert evaluation indicates that the system achieves 71.38% effectiveness in generating mechanized construction plans.

English Translation of New Vocabulary for Text Analysis of New Energy Industry and International Evaluation of Power Quality

With the advancement of global energy transformation, the rapid rise of the new energy industry has become a strategic highland that countries are eager to seize. The inherent instability and unpredictability of renewable energy production pose significant obstacles to the seamless operation of the power system. To address these challenges, this article employs text analysis, data-driven methods, and artificial intelligence technology in neologisms to conduct an in-depth international evaluation and comparative research on the power quality of the new energy industry. Using text mining techniques to conduct an in-depth analysis of new energy policy texts in various countries, revealing their policy characteristics and trends. At the same time, the combination of data-driven and artificial intelligence technology enables more accurate prediction and decision analysis. Based on the findings of this study, the United States has achieved a significant 35% enhancement in the quality of new energy electricity over the past decade, attributed to its consistent monitoring and improvement initiatives. Meanwhile, Germany, owing to its robust monitoring system, has witnessed a 25% improvement in electricity quality in the last five years. However, in developing nations like India and Brazil, approximately 60% of new energy projects encounter challenges related to grid connectivity and scheduling, resulting in a deterioration of electricity quality. In contrast, only 20% of developed countries have issues with grid access and scheduling. This phenomenon reflects that developing countries still need to increase investment and improve the layout of new energy industries and the construction of power grid infrastructure. Developing countries should actively learn from the successful experiences of developed countries in the new energy industry and power grid construction, formulate appropriate policy measures based on their national conditions, improve the quality of new energy electricity, and promote energy transformation and sustainable development.

Intelligent Video Monitoring and Analysis System for Power Grid Construction Site Safety Using Wireless Power Transfer

Power grid construction significantly enhances power grid management and risk control. Inconsistent operations at construction sites can jeopardize grid stability and crew safety. Traditional power lines are less favored due to mobility limitations, while batteries add burden and impracticality. To address this, a wireless power transfer and video monitoring system is developed using RF technology and Yolo V3 model. This enables continuous monitoring and employee safety analysis. The system's detection performance is optimized using HPSO, surpassing existing methods in accuracy and speed. It ensures real-time monitoring and improves the detection of potential risk sources, crucial for construction site safety.

Tracking the provincial energy transition in China: A comprehensive index

Achieving an efficient, modern, and sustainable energy transition towards carbon neutrality has attracted worldwide attentions. Composite statistical indices are increasingly recognized as valuable tools for policymakers, offering enhanced understanding of the present condition and anticipated direction of energy transition. In this research, we constructed a comprehensive index to track provincial energy transition in China. With this index, we monitored the energy transition progress of 30 provinces in China. The Provincial energy transition index (PETI) scores exhibited considerable heterogeneity across provinces and throughout different time periods, with eastern provinces having the highest scores, and some northwestern and large coal provinces, like Shanxi, having the lowest scores. These findings indicated that provincial energy transition policies should be tailored to the local energy status and economic structures. The paper delineated conclusions and policy implications derived from the study's extensive evaluation. Specifically, effective ways to further improve a region's sustainable energy transition path include advancing the use of clean energy, vigorously promoting power grid construction, and investing in new energy sectors. The implementation of these strategies is expected to reduce energy consumption and carbon intensity, thereby decreasing carbon emissions, then ultimately accelerating the realization of the dual carbon targets.

The influence of guide vane opening on internal cavitation of Francis turbine

Abstract In response to the theme of national multi energy complementary power grid construction, hydropower stations need to frequently change the opening of active guide vanes. Operation deviates from the rated working condition. And output is adjusted to meet the flexible power demand of users. Cavitation phenomenon as the biggest problem restricting the eccentric operation of Francis turbine. Easily induce cavitation damage to the flow passage components of the unit and shorten the service life of the unit. Therefore, there is a good engineering research background for the cavitation characteristics inside Francis turbines in the process of exploring the variation of guide vane opening. This paper takes a high head Francis turbine as the research object, based on numerical simulation and model test. The results show that the maximum amplitude of the draft tube vortex gradually increases during the process of decreasing the opening. The degree of cavitation is gradually serious, and the streamline distribution of the flow field inside the impeller is uneven. As the opening of the guide vane gradually increases, the vortexof the draft tube gradually decreases. The cavitation degree is weakened, and the streamline distribution inside the impeller is significantly improved. With the increase of the guide vane opening, the low-speed area on the outlet surface of the impeller gradually decreases, resulting in a gradual reduction of the low-speed zone in the straight cone section of the draft tube, a smaller vortex, a weaker cavitation degree. The internal flow distribution of the impeller is significantly improved.

Liquid-solid interface diffusion behaviors of furfural in the insulation systems of natural ester-cellulose paper and mineral oil-cellulose paper

Furfural as an ageing product of cellulose paper can be detected by the furfural content in the oil. With the construction of green power grid, more and more power equipment adopts environmentally friendly insulating fluids. The investigation of the diffusion behaviors of furfural at different oil-paper interfaces can provide a basis for fault detection in power transformers. The liquid-solid interface diffusion behaviors of furfural in natural ester-cellulose paper and mineral oil-cellulose paper insulating systems are investigated by molecular dynamics simulation in this paper. Results show that the range of center-of-mass movement distances of furfural in mineral oil-cellulose paper is about 5 times that of natural ester-cellulose paper. The main reason for this is that the long-chain macromolecules composing the natural ester undergo curling in the extended flow. As polar molecules, natural ester can attract furfural, which is also a polar molecule. And the electrostatic potential mapping interval of furfural is about 4.4 times that of mineral oil, but 1.1 times that of natural ester, with which it overlaps more. These hinder the diffusion of furfural molecules in the natural ester-cellulose paper liquid-solid interface. This research provides theoretical support for the diffusion of furfural in the insulation systems of natural ester-cellulose paper and mineral oil-cellulose paper. It also provides useful guidance for fault detection in transformers using natural ester insulating fluids.

The influence of ripple on DC energy measurement and the improvement of wavelet threshold function filtering method

DC energy has been applied in the construction of DC power grids, photovoltaic power generation, energy storage, and rapid charging of electric vehicles. The application of DC energy is of great significance for energy conservation, emission reduction, carbon reduction, and efficiency increase. In this paper, the reasons for the decrease in DC energy measurement accuracy caused by ripples in voltage and current are analyzed. The minimum requirements of ripples for DC energy meters are analyzed, and the traditional filtering method based on wavelet threshold is studied. An optimized and fast iterative wavelet threshold function was designed, the current signal of electric vehicle charging was selected, and the effectiveness of the algorithm proposed in this paper was verified through simulation.

Research on Dynamic Analysis and Prediction System of Energy Economic Efficiency under Fusion Algebraic Equations

Energy is an important material basis for national economic development, and it plays a vital role in social development. As China's industrialization process and urbanization construction continues to accelerate, energy demand is also increasing, and the dependence on electricity is getting higher and higher. How to improve the electric energy efficiency under the guarantee of stable quality of power generation, transmission and distribution and meeting the requirements of users' electricity consumption is an important issue to be solved in the current power grid construction. However, the serious defects of the traditional binary hierarchy and the lack of scientific understanding have led to many current new problems with more and more new and complex features. This is accompanied by the emergence of a large number of nonlinear term coefficients and an increasing research workload, and the traditional linear programming methods cannot meet the practical needs. Therefore, this paper analyzes the eigenvalues of energy economic efficiency based on algebraic equations and predicts energy economic efficiency using EMD-BP neural network algorithm, and then carries out the design and research of economic energy system based on these two points.

Wireless Power Transfer System for the Intelligent Video Monitoring and Analysis Based on the Safety of Power Grid Construction Site

This study describes a power grid construction site surveillance system that includes wireless power transmission and an improved Yolo V3 detection model. An artificial intelligence and wireless power transfer methodology is employed used for continuous monitoring. Improved Yolo V3 detection is optimized using Hierarchical Particle Swarm Optimization (HPSO) for enhanced efficacy in detecting power grid development threats. The methodology is compared to existing methods in terms of precision, accuracy, recall, and speed. The findings indicate that the proposed method is achieved a real-time and accurate power grid development site monitoring. Experiments on test sets in various situations improved the detection accuracy, and indicate that the proposed technique is quite robust. Also the detection accuracy and speed of the proposed method have improved over existing approaches, indicate that the strategy provides superior detection efficacy. This method considerably improves risk source detection, that's critical for assuring safety on power grid building sites.

Możliwe zastosowanie energii słonecznej do zasilania operacji wydobycia węglowodorów i metod wspomagania wydobycia ropy naftowej na dużych szerokościach geograficznych

As the world enters the renewable revolution, it is crucial for the petroleum industry to remain relevant in the public eye and become environmentally awareness. One potential path to achieve these goals in a progressive and beneficial way is to integrate renewable energy sources into various nodes of the petroleum industrial operations. Different ways of achieving such integration are described in the review section of the article. These include utilizing solar energy to power upstream operations and a variety of enhanced oil recovery projects, such as microbial enhanced oil recovery and others, or using solar energy downstream to supply power to pumps, gas lift apparatus, etc. The article also proposes a novel potential application of solar energy to power operations and provide long-term sustainable energy source to petroleum operations in high latitudes. The potential applicability of solar power in petroleum engineering operations far North has long been neglected due to potential unprofitability and difficulty of construction of solar power grid in such harsh climactic conditions. However, now, as the world transitions to a new reality of co-existence of fossil fuels with alternative energy sources in light of growing concerns over climate change, it is a strategic time to implement the technology in profitable and environmentally conscious way in countries that have a trustworthy environmental record and strong, robust environmental policies, like Canada, as well as in less environmentally achieving countries with milder emission reduction targets such as Russian Federation.

A Digital Advocacy and Leadership Mechanism that Empowers the Construction of Digital-Intelligent Strong Power Grid

A Digital Advocacy and Leadership Mechanism that Empowers the Construction of Digital-Intelligent Strong Power Grid

The Capacity-to-load ratio optimization method considering collaborative planning of multi-voltage level power grids

The capacity-to-load ratio is an important indicator to guide power grid planning and has a decisive influence on the selection of substation capacities and the construction of power lines. A capacity-to-load ratio optimization method concerning collaborative planning of multi-voltage level power grids is proposed in this paper. This method aims to minimize the construction cost and takes into account the collaborative planning of substations and power lines of multiple voltage levels. By combining the Bayesian optimization algorithm (BOA) and genetic algorithms (GA), a BOA-GA solving algorithm for the planning model is proposed. This algorithm automatically generates planning schemes for multi-voltage level power grids, and obtains the optimal capacity-to-load ratio, as well as the optimal investment of the power grid construction. Case studies demonstrate that the proposed model can optimize the capacity-to-load ratio and automatically plan the network structure of multi-voltage level power grids. The construction cost is significantly reduced while various technical indicators are satisfied. Additionally, the study reveals that the relationship between the capacity-to-load ratio and the overall investment of multi-voltage level power grid construction is a quadratic function over a long-time scale. And the curve is a parabola going upwards.

Development path of a modern rural power grid under dual carbon target based on data analysis

Abstract In China’s economic and social development planning, dual carbon goals and modern rural constructions have become new keywords. It is important to realize the green transformation of energy systems and complete the construction of a modern rural power grid based on data analysis under the guidance of dual carbon goals. Based on the systematic summary of the rural energy structure, this paper assesses the current situation of the scientific and technological development of rural power grids, analyzes the main problems faced by the development of rural power grids, and gives suggestions on the path of energy transformation and the path of rural power grid development. The results show that rural energy transformation plays an important role in the implementation of the dual carbon goals, and the relationship between the long-term and short-term goals of rural energy transformation, top-level design and differentiated development, government regulation and market forces, development stage and energy consumption expenditure must be handled well. In addition, as an important support, rural power grid enterprises should seize the opportunities brought by the construction of rural power grids under the dual carbon goals, make rural power a technology to be valued, and promote the further development of new energy-related technologies.

Analysis on the development of modern rural power grids with low carbon serving rural revitalization from the perspective of scientific and technological innovation

Abstract Our country is a large agricultural nation where the development of rural areas holds paramount importance. To achieve rural revitalization, the development of electric power infrastructure is crucial. However, to ensure sustainable growth, attention must be directed towards low-carbon initiatives. With the continuous advancement of science and technology, rural power grids are steadily transitioning towards intelligent development, marking a significant stride in our nation’s power grid evolution. The establishment of smart grids can effectively address energy consumption issues in rural areas, simultaneously aiding in the reduction of energy usage and carbon emissions. Information technology, interactivity and automation are pivotal technical features characterizing the intelligence of rural power grids, leveraging technological advancements to drive the reform of modern rural power systems. This article intends to focus on optimizing low-carbon development within the ambit of intelligent rural power grid construction, alongside a comprehensive analysis of related developments. Such efforts aim to seamlessly integrate rural power development with a low-carbon economy, offering crucial insights and guidance for the sustainable growth of rural power grids. This endeavor contributes to the overarching objectives of rural revitalization and fostering a low-carbon economy.

Knowledge reasoning in power grid infrastructure projects based on deep multi-view graph convolutional network

With the rapid development of power grid infrastructure, especially the increasing number of ultra-high voltage (UHV) projects, knowledge extracted from historical engineering data is collected and can be potentially used to assist in the review of power transmission and transformation projects. However, conventional knowledge modeling and knowledge reasoning methods cannot meet the current needs of power grid construction. In this paper, considering the more supernumerary and distinctive information brought by multi-view data which could be beneficial for feature representation and knowledge reasoning from the constructed knowledge base, a multi-view graph convolutional network (GCN) based on knowledge graph is proposed to make classification for power grid infrastructure projects. Specifically, several views are constructed based on attribute information of a knowledge graph. In addition, a Haar convolution-based pooling mechanism is employed to capture the structural features represented by a chain of subgraphs. And then an aggregator that combines both attribute and structural information is used to classify UHV projects. Results from both UHV and NCI-1 datasets indicate that our proposed method is more has higher accuracy and generalization ability.

How our electricity market is efficiently utilized

In the context of low carbon economy, analyze China's current power energy structure, according to China's power market development status quo to analyze one by one, from the installed capacity of each energy generation, power generation, kWh cost, advantages and disadvantages for comparison. Thus in the regulation of power structure to recognize the importance of grid construction. And to provide ideas for the construction of new power grids.

Design Capability Evaluation and System Development for Power Transmission and Transformation Engineering

Power transmission and transformation engineering is a pivotal aspect of power grid construction and an important link to power grid planning. It holds substantial relevance to the economic to the economic, social, and environmental benefits of China’s power construction. Consequently, the design of power transmission and transformation engineering, as the source of power transmission and transformation project construction, holds notable importance. In this paper, the evaluation system of design capability for power transmission and transformation engineering was established from the dimensions of basic hard strength, design bearing capacity, result quality control, deviation control, and technological innovation capacity. The weight of the evaluation indicators of the design capacity of power transmission and transformation engineering is determined based on advanced design units and data analysis combined with expert experience. On this basis, the corresponding evaluation system of design capability was developed. The application of this system provided accurate basic data for the evaluation of design capabilities in power transmission and transformation engineering. The design capability assessment report issued can help provincial companies comprehensively evaluate the design capabilities of various design units, thereby promoting standardized management of design units.

CONSTRUCTION OF LOW-CARBON DEVELOPMENT INDEX SYSTEM IN THE ELECTRIC POWER CONSTRUCTION INDUSTRY

Climate change has become a global challenge, and China plays a crucial role in addressing this issue, particularly with significant challenges in carbon reduction tasks. The impact of global climate change on human production and life is increasingly prominent, and countries worldwide are committed to carbon neutrality through agreements such as the Paris Agreement. China accounted for approximately 29% of global carbon dioxide emissions in 2019, making achieving carbon peak and carbon neutrality a key factor in global competition. The Chinese government has repeatedly declared its goals of carbon peak and carbon neutrality, demonstrating a strong determination. Establishing a carbon accounting system is fundamental to achieving these targets. China refers to the guidelines of the United Nations Intergovernmental Panel on Climate Change (IPCC) and the MRV system to ensure detectable, reportable, and verifiable emissions, guaranteeing the accuracy of the data. This will facilitate the smooth operation of the national carbon trading market and stimulate carbon reduction efforts. Regarding carbon accounting, the article mentions two critical aspects: methodological guidance based on the IPCC's inventory guidelines and ensuring a detectable, reportable, and verifiable system. This provides the foundation for unified carbon emission data and the operation of the national carbon trading market. Building on the establishment of the carbon accounting system, the article further discusses the construction of a low-carbon development index system for power grid development. This involves establishing a carbon emission accounting and evaluation system for transmission and transformation projects, quantitatively monitoring and assessing projects through methods such as carbon emission accounting and input-output analysis. Additionally, a comprehensive index evaluation method is employed to construct a green construction evaluation system, providing a low-carbon green score for power grid construction. This work contributes to China's better achievement of carbon reduction goals and promotes sustainable development.

Risk assessment method of power grid construction project investment based on grey relational analysis

Risk assessment method of power grid construction project investment based on grey relational analysis

Cross-provincial and cross-regional optimization analysis of power auxiliary services for regional power grid construction

In order to improve the optimization level of regional power grid ancillary services, a cross-provincial and cross-regional optimization mechanism for power ancillary services is proposed, taking the southern regional power grid as a representative. The construction and development of typical regional power grids at home and abroad are analyzed, and the characteristics of the construction and development process of the southern regional power grid in the cross-province and cross-region scheme are explained. The direction of regional auxiliary service optimization is proposed, and the connection of electric power and electricity at the current stage is analyzed, an optimized operation model is established, proposing an auxiliary service centered on the regional power grid, with the goal of optimizing the connection and operation system, and combined with specific project pilots, an application analysis is carried out.