An Integral Fault Location Algorithm Based on a Modified T-Source Circuit Breaker for Flexible DC Distribution Networks

Diao, Xiaoguang; Liu, Fei; Song, Yuan; Xu, Mengyue; Zhuang, Yizhan; Zha, Xiaoming

doi:10.1109/tpwrd.2020.3028423

Cited by 13 publications

(7 citation statements)

References 31 publications

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“…Although it may seem straightforward, there are always challenges for accurately and adequately detecting the faults in a power distribution system. Several research papers have been published on fault detection with different methods in [8], [13], [14], [18], [42]- [53].…”

Section: A Fault Detectionmentioning

confidence: 99%

“…All these actions should be taken immediately to avoid significant impacts on power systems due to the fault. Some research related to fault isolation exists in [14], [18], [45], [48], [49], [53], [55].…”

Section: Fault Isolationmentioning

confidence: 99%

“…After restoring the power to the out of service areas, the system needs to perform corrective actions. There are more publications available in literature that address service restoration, including [13], [14], [16] - [18], [23], [47], [53], [56]- [76].…”

Section: Service Restorationmentioning

confidence: 99%

“…Such agents cooperate with each other to solve restoration problem and to restore power supply to an outage area. Multi-agent algorithm has been used in literature for selfhealing purposes [13], [18], [53], [56], [80], [125].…”

Section: A Multi-agentmentioning

confidence: 99%

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A Review on Self-healing in Modern Power Distribution Systems

Ali Arefifar,

Shahin Alam,

Hamadi

2023

Journal of Modern Power Systems and Clean Energy

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The ever-increasing dependence on electrical power has posed more challenges to power system engineers to deliver secure, stable, and sustained energy to electricity consumers. Due to the increasing occurrence of short-and long-term power interruptions in the power system, the need for a systematic approach to mitigate the negative impacts of such events is further manifested. Self-healing and its control strategies are generally accepted as a solution for this concern. Due to the importance of self-healing subject in power distribution systems, this paper conducts a comprehensive literature review on self-healing from existing published papers. The concept of self-healing is briefly described, and the published papers in this area are categorized based on key factors such as self-healing optimization goals, available control actions, and solution methods. Some proficient techniques adopted for self-healing improvements are also classified to have a better comparison and selection of methods for new investigators. Moreover, future research directions that need to be explored to improve self-healing operations in modern power distribution systems are investigated and described at the end of this paper.

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Section: A Fault Detectionmentioning

confidence: 99%

Section: Fault Isolationmentioning

confidence: 99%

Section: Service Restorationmentioning

confidence: 99%

Section: A Multi-agentmentioning

confidence: 99%

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A Review on Self-healing in Modern Power Distribution Systems

Ali Arefifar,

Shahin Alam,

Hamadi

2023

Journal of Modern Power Systems and Clean Energy

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“…The accuracy of the operation of the fitness function is the key to ensure that the accurate location of the faulty section of the distribution network is achieved. It represents the difference between the actual measured value uploaded by the feeder terminal unit (FTU) to the system terminal and the expected value calculated by the constructed switching function when a fault occurs in the distribution network [45,46]. The process of distribution network fault location based on intelligent arithmetic is the process of finding the minimum value of the adaptation degree function.…”

Section: Fitness Function Construct and Validationmentioning

confidence: 99%

Distribution Network Regionalized Fault Location Based on an Improved Manta Ray Foraging Optimization Algorithm

Zhang

Liu

2022

Electronics

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To address the problem that the accuracy of traditional intelligent algorithms in distribution network fault location decreases with the expansion of distribution network scale, a regionalized fault location method for distribution networks containing distributed power sources based on the improved manta ray foraging optimization (IMRFO) algorithm is proposed. First, the global convergence property of the basic manta ray foraging optimization (MRFO) algorithm is improved by fusing the restart strategy and the opposition-based learning strategy. Then, based on the two-port equivalence principle, a topological model for regionalized fault hierarchical localization in distribution networks is constructed. Finally, the algorithm is improved by binary discretization using the Sigmoid function to output the fault vector and complete the fault location of the distribution network. Simulation experiments are conducted using MATLAB for IEEE-33 node distribution networks and the simulation results show that the IMRFO algorithm combined with the regionalization of complex distribution networks has a better effect of dimensionality reduction. Compared with the traditional distribution network simulation model, the fault location fault tolerance is greatly improved and its accuracy rate is increased by 1.8% and the location speed is improved by 15.537 ms.

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