Power Supply Enterprises Research Articles

Abnormal Causes and Monitoring Methods of Electric Power Metering Devices

Electric power metering device is a necessary device for getting power system operation condition of power supply enterprise and the user information, power metering device management is an important part of the power supply enterprises, directly affect the enterprise’s economic benefit, the cause of the abnormal electric power metering device and the problems, carry out the effective method to implement monitoring for power metering device.

Exploring Evaluation of Enterprise Economic Benefits Using Big Data.

The purpose is to improve Chinese enterprises' economic benefit evaluation system based on big data and promote sustainable enterprise production. This paper studies the power supply enterprises-oriented Evaluation Index System (EIS) under the big data environment. Firstly, it expounds on the construction theory of the enterprise economic benefit model. Secondly, the comprehensive Grey Model (GM) based on improved weight and the power consumption prediction model based on Least Mean Square (LMS) neural network (NN) algorithm are introduced. Finally, the comprehensive GM model based on improved weight is used to evaluate the economic benefits of power supply enterprises. The power consumption prediction model based on the LMS-NN algorithm is used to predict the sustainable development of power supply enterprises. The results show that the profitability and solvency of joint-stock power companies are about 90 and 100, respectively, and the social contribution of state-owned power supply enterprises is the strongest. Lastly, it is predicted that the region will have 134.8 billion kWh of electricity and about 137.2 billion kWh of power consumption in 2020. The growth model and trend are consistent, but there are some errors in the specific power consumption data. Therefore, the audit method based on big data has a good evaluation effect on the economic benefits of enterprises. For example, the profits of private and joint-stock power supply enterprises are relatively high. In contrast, state-owned power supply enterprises have outstanding social contribution ability. The big data method is used to predict the power consumption in some areas, and the predicted value is consistent with the actual value. This study provides a reference for the follow-up economic benefit evaluation and sustainable development of enterprises.

Construction and Simulation of a Strategic HR Decision Model Based on Recurrent Neural Network

In this paper, RNN (Recurrent Neural Network) algorithm is used to conduct an in‐depth analysis of HR strategic decision‐making and an HR strategic decision model is constructed for simulation. The four evaluation dimensions of index screening are extracted, the generalized gray correlation analysis is applied to screen the initial selection indexes of HR strategic decision‐making, and then the HR strategic decision‐making index system of power supply enterprises is constructed. On this basis, the applicability of the BP neural network in HR strategic decision‐making is analysed and demonstrated, a BP neural network‐based HR strategic decision‐making model for power supply enterprises is constructed, and the rationality of the model is illustrated through the model training and testing. Finally, an empirical study is conducted with S power supply company as an example to illustrate the operability of the BP network model for HR strategic decision‐making. The results of this paper provide a scientific basis for human resource decision‐making in power supply enterprises and provide theoretical support for promoting the healthy development of power supply enterprises. Improving the level of human resource management can make fuller use of human resources and realize the strategic goals of the enterprise. A strategy for optimizing the training of hybrid convolutional neural networks is proposed, using an exponential linear unit activation function to solve the problem of neuron dead zones, a hybrid pooling strategy is used to improve the problem of feature information loss in maximum pooling processing, and an improved cross‐entropy loss function is used to solve the problem of insufficient learning of difficult classification samples. The optimization of the model training process is finally completed, and the recommendation quality is improved. The Bayesian probability distribution table is learned to be filled in the expert data set; finally, the accuracy and effectiveness of the model are tested on the experimental platform. The results of the experiments show that the established Bayesian model beats the platform’s built‐in intelligent method with a 78.2% win rate. That is, the model can make intelligent recommendations for strategies in staffed and unmanned platform decision‐making and command‐and‐control combat units to execute tactical actions to achieve the best operational effectiveness.

Scheduling Strategy Optimization and Security Protection Technology in Smart Distribution Network

In the power system, distribution network is a very important link, and its operation quality and power supply reliability have a great impact on the whole social and economic development. Firstly, this paper analyzes the structure, function and characteristics of intelligent distribution network. Then it introduces the research status of optimization strategy based on genetic algorithm and its security protection technology, as well as the relevant basic theoretical knowledge. Then, aiming at the existing problems, the security protection system is designed for the power grid. Finally, through the performance test of the system, it is verified that the method is efficient and practical, and can effectively improve the security and stability of the power system, promote the further acceleration of China’s sustainable construction process, improve the benefit level of power supply enterprises, and achieve the goal of social and economic development.

Research on Power Consumption Inspection Management Mode and Marketing Strategy of Power Supply Enterprises

Research on Power Consumption Inspection Management Mode and Marketing Strategy of Power Supply Enterprises

Establishing an electronic invoice management platform based on information system

In order to meet the needs of power supply enterprise marketing business to issue e-invoice, realize the online issuance and control of VAT e-invoice, a unified e-invoice management platform is established. Through the construction of e-invoice service application platform as a data transmission channel, and upgrading the VAT invoice system, the invoice data can be uploaded to the tax bureau system in real time, thus realizing the transformation of power supply enterprises from paper invoice to e-invoice. Electronic invoice is different from the previous paper invoice. It can transmit and save the contents of the invoice through digital media, which reduces the management cost of paper documents, facilitates the users to save and use the invoice, and improves the service level of power supply enterprises. The practice shows that the system runs reliably and achieves good application effect and economic benefit in 27 local power companies.

Analysis and Evaluation of Power Grid Loss Reduction from the Perspective of Operation Inspection Based on Risk Theory

The use of electric energy has become an indispensable and important part in people’s daily life and production, but there is a certain line loss rate in the process of electric energy transmission. Line loss is the power consumption of transmission lines and equipment in power grid, which is an important skillful index to measure the power loss level of power supply enterprises, and also reflects the power system design, operation, management and economic benefit level of enterprises. Line loss is an important skillful index to measure the power loss level of power supply enterprises, and it is also the embodiment of power system design, operation, management and economic benefit level of enterprises. At present, the scale and scope of power grid construction are constantly expanding, which makes the loss of power and energy increase, and affects the economic benefits of distribution network operation. Based on risk theory, this paper analyzes and evaluates the existence and composition of power loss in the process of power transmission and theft, and puts forward effective measures to reduce power loss in the operation and inspection, so as to more effectively improve the utilization rate of power and economic benefits.

The Effect Evaluation of Labor Protection Equipment Allocation in Power Supply Enterprises: A Study of Central Provinces in China

The allocation and correct use of labor protection equipment is an effective means to reduce occupational hazards and emergencies in special industries. Constructing allocation effect index system of labor protection equipment in the power supply enterprises, this study comprehensively evaluates personnel Labor protection equipment allocation situation, and diagnosis allocation of the whole process of the lack of links. The evaluation results show that, taking a central province as an example, the overall score of labor protection equipment in power supply enterprises is 75.76, which can meet the basic needs of operators. At the same time, some deficiencies are found including that the effectiveness of labor protection equipment allocation system is somewhat deficient, the workers’ cognition for labor protection equipment and occupational health protection needs to be improved, and the aesthetics and comfort of labor protection equipment still have room for improvement. The research results provide an effective reference for the development of electric power industry and the status assessment of other industries.

Design and Application of Automatic Meter Reading System For Anti Stealing Electricity

Based on the high-speed development of computer technology, VLSI and communication technology, this paper studies an anti stealing wireless meter reading system which can improve the power supply enterprise’s anti stealing ability and collect, count and analyze the power consumption of large users timely, effectively and accurately, and analyze the characteristics and components of the system design to meet the market demand. The system studied in this paper is mainly used for power supply enterprises to control power stealing for large users.

Modeling and Management of Power Supply Enterprises’ Cash Flows

The purpose of the study is to assess the efficiency of cash flow management at power supply companies of the CIS (Commonwealth of Independent States) countries. A methodological approach to cash flow forecasting with the use of linear and polynomial regression has been developed. The study is based on the data provided by 12 power supply companies operating in CIS member countries. Forecasting based on the generated polynomial models of multiple regression of cash flow for the power supply companies under study confirms the strong possibility of extrapolating the studied trends to future periods. Compared to the linear model, the polynomial one confirms higher values of the determination coefficients for the majority of power supply companies. The projected volumes of cash inflow, cash outflow, and net cash flows of power supply companies with the application of the described polynomial multiple regression models have a fairly high degree of approximation. The correlations between operating cash flows and outflows, between total cash inflow and outflow of the majority of power supply companies are high. The low level of synchronization between cash inflows and outflows of the companies under study is associated with the specifics of their financial and investment activities and the cash flow management policy. It has been proven that energy enterprises’ financial stability significantly depends on the synchronization and uniformity of cash flows. The proposed methodological approach allows identifying enterprises by the criterion of riskiness from the standpoint of the synchronization and homogeneity of their cash flows.

Forecast of Short-Term Electricity Price Based on Data Analysis

The decision-making of power generation enterprises, power supply enterprises, and power consumers can be affected by forecasting the price of electricity. There are many irrelevant samples and features in big data, which often lead to low forecasting accuracy and high time-cost. Therefore, this paper proposes a forecasting framework based on big data processing, which selects a small quantity of data to achieve accurate forecasting while reducing the time-cost. First, the sample selection based on grey correlation analysis (GCA) is established to eliminate useless samples from the periodicity. Second, the feature selection based on GCA is established considering the feature classification and the temporal correlation features to further eliminate useless features. Third, principal component analysis is applied to reduce the noise among the data. Then, combined with a differential evolution algorithm (DE), a support-vector machine (SVM) is applied to forecast the price. Finally, the proposed framework is applied to the New England electricity market to forecast the short-term electricity price. The results show that, compared with DE-SVM without data processing, the forecasting accuracy is improved from 81.68% to 91.44%, and the time-cost is decreased from 35,074 s to 1,809 s which shows that the proposed method and model can provide a valuable tool for data processing and forecasting.

Improvement of Video Measuring Systems for Electric Traction Network Diagnostics

Purpose. The purpose of the article is system analysis of the state of electric traction networks, as well as methods of complex diagnostics of the contact network from a moving laboratory car to increase the resolution capability of the systems for monitoring the quality of interaction between the contact network and current collectors. Methodology. The problem was solved by theoretical analysis and experimental studies of the current collection parameters, a generalized model of the device for monitoring the wear of the overhead wire and its functional units in order to determine the factors affecting the control error, as well as the development of methods that reduce the specified error. The apparatus of factor analysis, the theory of optoelectronic circuits and methods of statistical information processing were used. Findings. Innovative approaches and qualitatively new diagnostic tools are proposed that allow expanding the functionality of the laboratory cars for testing the contact network for power supply enterprises of electrified railways, industrial and urban electric transport. Hardware and software have been developed to improve the system for measuring the parameters of the overhead wire and other components of the contact network. Originality. The theoretical maximum permissible, from the point of view of the contact network operation, error in monitoring the wear of the overhead wire and other components of the electric traction network has been determined. A method for increasing the resolution capability of a stereo television system and an adaptive lighting system is proposed. It consists in preliminary image transformation and expansion of the dynamic range of image measurement. The ways of introducing a high-speed real-time compression algorithm and using LED backlighting are proposed. Practical value. The quality of the contact network diagnostics in difficult conditions for video surveillance has been improved. A camera with a built-in image compression module without losing its performance is proposed, which allows capturing and transmitting full-frame images to a computing complex for the application of new diagnostic algorithms for contact network components. The modernized video measuring systems for the wear of the overhead wire for monitoring the grounding of the contact network supports are proposed, as well as elements of track facilities located in the visibility zone of specialized cameras, which ensure the operability of the systems at any time of the day at speeds up to 160 km/h. An air curtain subsystem was implemented to protect the cameras.

Research on Intelligent Identification Method for Access Equipment of Grid Information System

Establishing a controllable information network security access management mechanism is the key task of power supply enterprise management, and it is also a key link to ensure enterprise information network security. In this article, we use a technology to intelligently obtain information about access devices. This technology is based on active and passive information collection. At the same time, it uses device portrait technology to intelligently identify network topology, device type and device status. And use an intelligent access mechanism to improve the controllability of information network security access.

Assessment of the Distribution Effectiveness of Labor Protective Articles in Power Supply Enterprises based on Certain Distribution System

To further optimize the distribution of labor protective articles in certain power supply enterprise, a distribution system is established to help their type selection and allocation, and questionnaires are utilized to assess the changes in relevant knowledge, behaviors, and satisfaction among the randomly sampled respondents, and the effectiveness of the distribution arising from the adoption of the system. It is demonstrated that a remarkable increase occurs in the accuracy of employees mastering knowledge pertaining to labor protective articles, and particularly their willingness to actively learn the correct method of using the articles stands at as high as 94.7%; their satisfaction with the replacement cycle of the protective articles decreases, satisfaction with to what extent their requirements of protection are met by the articles distributed through the system significantly rises, and the proportion of the negative options in terms of willingness to wear the articles drops from 2.7% before adopting the distribution system to 0%. It is suggested that the employees’ requirements of the effectiveness and usability of the protective articles in power supply enterprises can be met quite well through this distribution system, which is of significance in providing guidance about how to enhance the practicability of such articles.

Study on Protective Effect of Different Kinds of Labor Protection Products in Power Supply Enterprises

Scientific and reasonable use of labor protection equipment can not only eliminate the economic loss of accidents, but also improve the efficiency of workers, and even improve the economic benefits of power supply enterprises. The evaluation of the protective effect of labor protective articles can provide reference for the equipment of labor protective articles. In this paper, starting from personal protection, a whole set of protective effect evaluation system is established from the aspects of protective ability, abrasion resistance and tear resistance, comfort and others according to the requirements of power supply protection, and then conduct empirical analysis to discuss the different protective effects of different types of protective articles. The results showed that protective clothing C and E with the best protective effect not only had higher anti-seepage and anti-penetration ability, but also had anti-static and anti-radiation ability, the protective effect of which is 36.9% than that of the worst one. Antis-eepage and anti-penetration ability can be used as the primary selection standard of protective clothing. When selecting protective products, if the economic conditions permit, choose a higher-priced protective product, and the protection effect is better. If there are special protection needs, such as protection shoes against cold or high temperature, you can choose protective products with special protective properties according to your needs. The results obtained can be used as a reference for different post protection products.

Research on Forecasting Method of Distribution Network Investment Scale of Municipal Power Supply Enterprise Considering Power Supply Division and Cost Difference Level

In recent years, in order to adapt to the situation of rapid economic and social development, my country’s power supply companies have invested large-scale funds to build distribution networks, and upgraded urban and rural power grids, effectively supporting the rapid growth of power demand and the reliability of power supply. Continuous improvement of power quality. While the scale of investment in the distribution network continues to remain high, problems such as focusing on investment and neglecting revenue, focusing on project establishment and neglecting management also exist to varying degrees. Therefore, reasonably predicting the scale of investment in the distribution network and improving the lean management level of the investment and construction of the distribution network have become key issues that power supply companies need to solve. This paper takes my country’s municipal power supply companies as the research object, combines the actual business development of the company’s distribution network investment planning, and fully considers the impact of the company’s power supply district management and the level of cost differences on the investment scale of the distribution network, and builds a fit on this basis. The distribution network investment planning forecast model of the actual business work of the enterprise guides the municipal power supply enterprises to improve the lean management level of the distribution network investment and construction.

Research on Construction and Evaluation Method of Comprehensive Evaluation Index System for Investment Benefit of Distribution Network

Under the new situation, the improvement of investment efficiency and efficiency will be the basic criteria for evaluating the quality of power supply enterprises’ investment activities in the distribution network. To this end, based on the characteristics of distribution network construction, combined with the internal and external development trends of power supply enterprises and development and promotion needs, this paper constructs a scientific comprehensive evaluation index system and evaluation method for the investment benefits of distribution networks, which is useful for scientifically grasping the investment needs and investment capabilities of power supply enterprises. It is of great significance to achieve a more precise and lean level of investment in the distribution network.

Algorithms and models of power losses in circuit breakers installed in networks

Determination of the main characteristics of the topology and technical condition of equipment underoperating conditions is necessary for analyzing and assessing power and electricity losses in intrashoplow-voltage industrial power supply networks. A comparative analysis of the technical characteristicsof automatic circuit breakers VA57-31 (KEAZ), NSX100 TM-D (Schneider Electric), DPX3 160 (Legrand), Tmax XT1 TMD (ABB) has shown that the main technical parameters of the machines are close in their values. At that it has been found out that automatic switches of the BA57-31 series have the lowest value of power losses per pole (7.5 W), whereas the automatic switches of the Tmax XT1 TMD series have the highest value (10 W). Thus, under the operating conditions of the equipment, the lowest value of power and electricity losses is characteristic of low-voltage electrical networks with installed circuit breakers of the BA57-31 series, and the highest value of losses is noted in in-shop systems with installed circuit breakers Tmax XT1 TMD. Using catalog data, the dependences of active power losses in circuit breakers on rated currents have been established; the algorithms have been developed and the obtained dependences have been modeled using approximating functions. The standard deviation of the compiled approximating functions has been calculated. Analytical expressions of the dynamics of power losses per pole have been determined as a function of the rated current. The graphical dependences of the investigated parameters of low-voltage equipment have been presented. The developed models are recommended to be used to increase the reliability of the assessment and refinement of the amount of active power and electricity losses in low-voltage electrical networks of industrial power supply systems, agrotechnical complexes, and enterprises of the public utility sector.

Discussion on the Application of Construction Mechanism of Group Construction in County Power Supply Enterprises

Discussion on the Application of Construction Mechanism of Group Construction in County Power Supply Enterprises

Research on Intelligent Diagnosis of Station Line Loss Based on Data Mining Technology

The construction time of the distribution network is long and the lines are complex. It is an important component of the power supply enterprise’s business of reducing losses and increasing efficiency. Through the data u mining processing method, based on the big data of the power grid, the use of computer automatic calculation, manual verification and other methods not only realizes accurate positioning of the crux, but also greatly saves analysis and processing time; and solves the line loss problem while completing the redundant and disordered files. The clean-up and repair of power stations and the standardized transformation of the stations with large technical line losses have reduced the power losses in the stations, improved the economic benefits of the power supply bureau and achieved remarkable results. The comprehensive management of the line loss in the station area requires the full cooperation of all relevant departments to effectively control and reduce the line loss rate, which can improve the utilization rate of electric energy, analyze the abnormal phenomenon of the line loss in the station area and further standardize the line loss management measures of the enterprise, so that the company Responding to various special situations becomes stronger.