Network partitioning approach for reactive power/voltage control using analytical nodes coupling expressions

Li, Weixing; Tian, Aina; Ma, Jin; Mou, Xiaoming; Liang, Xiaodong

doi:10.1049/iet-gtd.2019.0415

Cited by 9 publications

(6 citation statements)

References 34 publications

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“…iv. After partitioning some isolated nodes may be left, the isolated nodes will be incorporated into a nearby subarea according to the coupling degree among the nodes [21], and then the final partitioning results are obtained. v. If a certain area fails, there will be no instability in other regional power grids.…”

Section: Partitioning Methods Of Power Systemmentioning

confidence: 99%

Security‐level classification based on power system partitioning

Zhao

et al. 2019

IET Generation, Transmission & Distribution

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Secure and reliable operation of power systems is a crucial factor to the security of power supply, and security assessment is an effective way to evaluate the quality of security. In order to evaluate the specific security status of a power system, a novel method for security level classification (SLC) based on power system partitioning is proposed in this paper. In this method, power system is partitioned into different subareas satisfying different N-k contingencies. Then the mutual power supply between each subarea is coordinated to obtain the total supply capacity (TSC) under N-k contingencies.The security margin index (SM), average system disequilibrium index (ASD) and comprehensive safety index (CSI) are applied to assess the security of power system. Besides this, the threshold crossing index (TC) and the loss rate of load index (LRL) are applied to assess the unsafe conditions of power systems. According to the above procedures, the power system security states are classified into 5 levels, and a quantitative criterion to determine the exact security level is also given. Finally, a practical power system and the IEEE 118-bus test system are adopted to validate the feasibility of security classification based on N-k contingencies partition.

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Section: Partitioning Methods Of Power Systemmentioning

confidence: 99%

Security‐level classification based on power system partitioning

Zhao

et al. 2019

IET Generation, Transmission & Distribution

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“…ANCE [36] Network partitioning approach for reactive power/voltage control using analytical nodes coupling expressions.…”

Section: Abbreviations Full Namementioning

confidence: 99%

“…To demonstrate the superiority of the EDPVP method in the reactive voltage reserve, a comparison is made with the FACP [35] and ANCE [36], as shown in Table 6. The reactive power reserve results in Table 6 reveal that the FACP method fails to meet the reactive power reserve requirement of 15% in Partition 1 (11.26%), Partition 4 (6.15%), and Partition 5 (11.88%).…”

Section: Effectiveness Analysismentioning

confidence: 99%

“…This comparison clearly illustrates that the EDPVP method outperforms the FACP method in terms of achieving the required reactive power reserve, further validating the effectiveness and superiority of the proposed EDPVP method for reactive power partitioning in power grids. To further illustrate the superiority of the EDPVP method, it is compared with the FACP [35] and ANCE [36]. The regional power grid control, regional coupling degree, and modularity are used as the evaluation metrics of partitioning quality, and the results are shown in Figure 15 and Table 7.…”

Section: Effectiveness Analysismentioning

confidence: 99%

“…By analyzing the normal matrix of the partitioning model, the partitioning clustering samples can be obtained directly, thus effectively reducing the algorithm's time complexity while ensuring a local balance of regional reactive power. (4) ANCE [36]. The ANCE is based on the ascending clustering method.…”

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confidence: 99%

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Enhanced Density Peak-Based Power Grid Reactive Voltage Partitioning

Deng,

Liu,

Liu

et al. 2023

Energies

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Clustering-based reactive voltage partitioning is successful in reducing grid cascading faults, by using clustering methods to categorize different power-consuming entities in the power grid into distinct regions. In reality, each power-consuming entity has different electrical characteristics. Additionally, due to the irregular and uneven distribution of the population, the distribution of electricity consumption is also irregular and uneven. However, the existing method neglects the electrical difference among each entity and the irregular and uneven density distribution of electricity consumption, resulting in poor accuracy and adaptability of these methods. To address these problems, an enhanced density peak model-based power grid reactive voltage partitioning method is proposed in this paper, called EDPVP. First, the power grid is modeled as a weighted reactive network to consider entity electrical differences. Second, the novel local density and density following distance are designed to enhance the density peak model to address the problem that the traditional density peak model cannot adapt to weighted networks. Finally, the enhanced density peak model is further equipped with an optimized cluster centers selection strategy and an updated remaining node assignment strategy, to better identify irregular and uneven density distribution of electricity consumption, and to achieve fast and accurate reactive voltage partition. Experiments on two real power grids demonstrate the effectiveness of the EDPVP.

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