Operation State Evaluation Method of Smart Distribution Network Based on Free Probability Theory

Zhang, Jiaxin; Wang, Bo; Wang, Hongxia; Ma, Hengrui; Ma, Fuqi; Li, Yifan; Zhang, Yingchen

doi:10.3389/fenrg.2021.803010

Cited by 5 publications

(2 citation statements)

References 45 publications

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“…In practical applications, there is some error in the measurement value of the meter [22][23][24].There are two main sources of error: the user side S and the station side Y.…”

Section: Error Analysismentioning

confidence: 99%

Topology identification of low-voltage station based on robust total least squares method

Yuan,

Cao,

Wang

2023

Second International Conference on Sustainable Technology and Management (ICSTM 2023)

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The low-voltage station area has a long-standing problem of line topology confusion, which leads to difficulties in locating faults in the distribution network and making maintenance difficult. In order to accurately identify the topological relationships of low-voltage stations, we proposes a low-voltage station topology identification algorithm based on the robust total least squares. We use the least squares method as the theoretical basis. Anti-variance estimation is added to the algorithm to further improve its ability to suppress coarse variances and thus improve recognition accuracy. The algorithm collects the active current values of customer meters in the station area at multiple time points. These data are used as the basis for establishing matrix equations to identify the topological relationships in the station area. Finally, the algorithm is compared with the least squares and weighted least squares to verify the accuracy of the algorithm. The results show that the Robust Total Least Squares has high accuracy for the topological identification of low-voltage station and is suitable for the application requirements of low-voltage station area.

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“…In practical applications, there is some error in the measurement value of the meter [22][23][24].There are two main sources of error: the user side S and the station side Y.…”

Section: Error Analysismentioning

confidence: 99%

Topology identification of low-voltage station based on robust total least squares method

Yuan,

Cao,

Wang

2023

Second International Conference on Sustainable Technology and Management (ICSTM 2023)

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show abstract

“…The economic dispatch of the power system is an important link affecting the economic operation of the power system. This solution model reduces the power generation and operating costs of the system by rationalizing the output of each unit in the power system and optimizing the system operation and disassembly schedule (Ma et al, 2018;Ma et al, 2019;Zhang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Research on large-scale clean energy optimal scheduling method based on multi-source data-driven

Xiong,

Xu,

et al. 2024

Front. Energy Res.

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With the large-scale growth and grid connection of intermittent renewable energy such as wind and solar, the problem of increasing renewable energy curtailment rate and system backup flexibility has become increasingly prominent. In order to solve the problem of high proportion of renewable energy scientific consumption and flexible and stable operation of energy system. We propose a flexible and economical dispatch method based on data-driven multi-regional power system. For the problem of economic dispatch of multi-area power system, a mathematical calculation model is established to satisfy the constraints of unit output, system power balance, unit ramp rate, and valve point effect, and to consider the requirement of minimizing the cost of multi-area power load comprehensively. Based on data-driven, this paper adopts an improved fruit fly optimization algorithm to quickly find the global optimal solution. The calculations are performed by IEEE6 simulation test system, and the results verify the feasibility of the proposed algorithm. The improved fruit fly optimization algorithm is compared and analyzed with other algorithms considering the quality of the obtained solutions. The results show the effectiveness and superiority of the proposed algorithm in solving multi-area economic dispatching problems in real power systems.

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Evaluation method of distribution network state based on IT-II-Fuzzy K-means Clustering Algorithm for Imbalanced Data under PIOT

NING

GONG

et al. 2022

2022 Asian Conference on Frontiers of Power and Energy (ACFPE)

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Operation State Evaluation Method of Smart Distribution Network Based on Free Probability Theory

Cited by 5 publications

References 45 publications

Topology identification of low-voltage station based on robust total least squares method

Topology identification of low-voltage station based on robust total least squares method

Research on large-scale clean energy optimal scheduling method based on multi-source data-driven

Evaluation method of distribution network state based on IT-II-Fuzzy K-means Clustering Algorithm for Imbalanced Data under PIOT

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