Research on Influencing Factors of Standard Cost of Power Grid Operation Based on DEMATEL

Investment is the key driving force for the sustainable growth of power grid enterprises. The rationality of investment scale directly determines the investment efficiency, and affects the quality of enterprise growth. The internal and external environment of investment management of power grid enterprises is constantly changing. Scientific judgment of the importance of various influencing factors can provide strong support for the determination of investment scale. In this paper, the factors affecting the investment scale of power grid enterprises are divided into economic and social development, product industry development, enterprise operation and management, and power grid operation and development. Representative indicators are selected for analysis, and the influence degree of various influencing factors is judged by correlation coefficient test and variable importance evaluation method. The empirical results show that the enterprise management and power grid operation and development have greater impacts on the investment scale. The influence of internal factors is greater than that of external factors.

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Grey Relational Grade Based Quantitative Analysis of the Factors Influencing the Load Characteristics of A Power Grid

E3S Web of Conferences ◽

10.1051/e3sconf/20185301012 ◽

2018 ◽

Vol 53 ◽

pp. 01012 ◽

Cited By ~ 1

Author(s):

Wei Pan ◽

Caijia Lei ◽

Wei Jia ◽

Hui Gao ◽

Binghua Fang

Keyword(s):

Quantitative Analysis ◽

Influencing Factors ◽

Power Grid ◽

Grey System Theory ◽

Grey System ◽

Factors Affecting ◽

Grey Relational Grade ◽

Load Characteristics ◽

Grey Relational ◽

Main Factor

Regarding analysis of load characteristics of a power grid, there are multiple factors that influence the variation of load characteristics. Among these factors, the influence of different ones on the change of load characteristic is somewhat different, thus the degree of influence of various factors needs to be quantified to distinguish the main and minor factors of load characteristics. Based on this, the grey relational analysis in the grey system theory is employed as the basis of mathematical model in this paper. Firstly, the main factors affecting the load characteristics of a power grid are analysed. Then, the principle of quantitative analysis of the influencing factors by using grey relational grade is introduced. Lastly, the load of Guangzhou power grid is selected as the research object, thereby the main factor of temperature affecting the load characteristics is quantitatively analysed, such that the correlation between temperature and load is established. In this paper, by investigating the influencing factors and the degree of influence of load characteristics, the law of load characteristics changes can be effectively revealed, which is of great significance for power system planning and dispatching operation.

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Micro Power Grid Operation Control and Its Shortage

Advances in Intelligent Systems and Computing - Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019 ◽

10.1007/978-3-030-31129-2_98 ◽

2019 ◽

pp. 1044-1050

Author(s):

ChunXu Ding

Keyword(s):

Power Grid ◽

Micro Power ◽

Operation Control ◽

Grid Operation

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The Research on Correlation Model Between Customer Complaint and Power Grid Operation Failure Based on Multi Factor Analysis

DEStech Transactions on Engineering and Technology Research ◽

10.12783/dtetr/icace2018/25551 ◽

2018 ◽

Author(s):

Yixin Sun ◽

Di Wang ◽

Suwei Liu ◽

Guang Chen

Keyword(s):

Factor Analysis ◽

Power Grid ◽

Correlation Model ◽

Customer Complaint ◽

Grid Operation

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Application of Data Mining in Smart Grid Technology

Encyclopedia of Information Science and Technology, Fifth Edition - Advances in Information Quality and Management ◽

10.4018/978-1-7998-3479-3.ch056 ◽

2021 ◽

pp. 815-827

Author(s):

Lipi Chhaya ◽

Paawan Sharma ◽

Adesh Kumar ◽

Govind Bhagwatikar

Keyword(s):

Data Mining ◽

Smart Grid ◽

Power Grid ◽

Analysis Data ◽

Consumer Participation ◽

Distribution Automation ◽

Grid Technology ◽

Self Healing ◽

Grid Operation ◽

Smart Grid Technology

Smart grid technology is a radical approach for improvisation in existing power grid. Some of the significant features of smart grid technology are bidirectional communication, AMI, SCADA, renewable integration, active consumer participation, distribution automation, and complete management of entire grid through wireless communication standards and technologies. Management of complex, hierarchical, and heterogeneous smart grid infrastructure requires data collection, storage, processing, analysis, retrieval, and communication for self-healing and complete automation. Data mining techniques can be an effective solution for smart grid operation and management. Data mining is a computational process for data analysis. Data scrutiny is unavoidable for unambiguous knowledge discovery as well as decision making practices. Data mining is inevitable for analysis of various statistics associated with power generation, distribution automation, data communications, billing, consumer participation, and fault diagnosis in smart power grid.

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Development of Fully Automatic Expert System of Power Grid Operation Mode

INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences ◽

10.4156/aiss.vol5.issue6.142 ◽

2013 ◽

Vol 5 (6) ◽

pp. 1185-1192

Author(s):

Zhenfeng Xiao ◽

Yilong Chen ◽

Xiangtian Deng ◽

Qin Li ◽

Pilong Guo

Keyword(s):

Expert System ◽

Power Grid ◽

Operation Mode ◽

Fully Automatic ◽

Grid Operation

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Fault location determination method for relay protection communication system based on power grid operation and maintenance multi-source data

2019 IEEE Sustainable Power and Energy Conference (iSPEC) ◽

10.1109/ispec48194.2019.8975178 ◽

2019 ◽

Author(s):

Bozhong Pan ◽

Wei Cong ◽

Mengchen Sun ◽

Jiang Yu ◽

Maoran Zheng

Keyword(s):

Communication System ◽

Fault Location ◽

Power Grid ◽

Relay Protection ◽

Determination Method ◽

Location Determination ◽

Operation And Maintenance ◽

Source Data ◽

Grid Operation

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Research on Jing-Jin-Tang Power Grid Coordinated Control Strategy

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.799-800.1306 ◽

2015 ◽

Vol 799-800 ◽

pp. 1306-1310

Author(s):

Fang Ming Niu ◽

Peng Wang ◽

Yu Cheng ◽

Xue Dong Ren

Keyword(s):

Control Strategy ◽

Power Grid ◽

Coordinated Control ◽

Automatic Generation ◽

Control Mode ◽

Practical Significance ◽

Control Effect ◽

Spare Capacity ◽

New Strategy ◽

Grid Operation

The disadvantage of Beijing-Tianjin-Tangshan power grid operation control mode is that the control effect is poorer and the spare capacity demand is big, this paper puts forward a new coordinated control strategy. First of all, this paper describes the relationship between the load, frequency, the output of generating unit, the tie line power and the area control error relationship of the whole power grid, according to the regional automatic generation control performance assessment criteria, concludes the characteristics of regional unit adjustment. This paper analyzes the contradiction between them, and then proposes a coordinated control strategy between the Beijing-Tangshan power grid and Tianjin power grid. The case simulation results prove the superiority and feasibility of the new coordinated control strategy. Compared with the original, the new strategy reduces the volatility of the unit, shortens the recovery time of frequency, and has a certain practical significance.

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