On-line expert system for power distribution system control

Fujii, Yasuo; Miura, Akihiro; Tsukamoto, J.; Youssef, Michel Guirguis; Noguchi, Yoshiro

doi:10.1016/0142-0615(92)90008-w

Cited by 14 publications

(6 citation statements)

References 6 publications

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“…In [28] and [29], multiple knowledge bases or inference engines are used. In [28], an expert system is developed for fault restoration, over-load management, and emergency operation.…”

Section: ) Expert Systemmentioning

confidence: 99%

“…In [28] and [29], multiple knowledge bases or inference engines are used. In [28], an expert system is developed for fault restoration, over-load management, and emergency operation. The proposed system has six knowledge base blocks, in each of which the rules are organized in a hierarchical manner, making it easier to add new rules and speed up the rule processing.…”

Section: ) Expert Systemmentioning

confidence: 99%

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Review of Service Restoration for Distribution Networks

Shen

Xue³

2020

Journal of Modern Power Systems and Clean Energy

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With the rapid deployment of the advanced metering infrastructure (AMI) and distribution automation (DA), selfhealing has become a key factor to enhance the resilience of distribution networks. Following a permanent fault occurrence, the distribution network operator (DNO) implements the selfhealing scheme to locate and isolate the fault and to restore power supply to out-of-service portions. As an essential component of self-healing, service restoration has attracted considerable attention. This paper mainly reviews the service restoration approaches of distribution networks, which requires communication systems. The service restoration approaches can be classified as centralized, distributed, and hierarchical approaches according to the communication architecture. In these approaches, different techniques are used to obtain service restoration solutions, including heuristic rules, expert systems, metaheuristic algorithms, graph theory, mathematical programming, and multi-agent systems. Moreover, future research areas of service restoration for distribution networks are discussed.

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“…In [28] and [29], multiple knowledge bases or inference engines are used. In [28], an expert system is developed for fault restoration, over-load management, and emergency operation.…”

Section: ) Expert Systemmentioning

confidence: 99%

Section: ) Expert Systemmentioning

confidence: 99%

Review of Service Restoration for Distribution Networks

Shen

Xue³

2020

Journal of Modern Power Systems and Clean Energy

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“…In normal operating state, the optimal network reconfiguration scheme is usually used for operation optimization for distribution network in order to achieve goals such as loss reduction [2][3], and load balancing [4][5], etc. ; while in emergent situations, the network reconfiguration is used for service restoration, pursuing the goals such as the minimum number of switch operations [6][7], and the maximum amount of out-of-service load restored following the isolation of a fault with minimum load shedding [8][9].…”

Section: Introductionmentioning

confidence: 99%

A Novel Reconfiguration Strategy for Active Distribution Network Considering Maximum Power Supply Capability

Liang¹,

Jin

et al. 2013

AMM

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In this paper, a novel reconfiguration strategy for active distribution network considering maximum power supply capability (PSC) is proposed. Firstly, a PSC index (PSCI) is proposed to evaluate the real-time security level of distribution network. Then, a novel reconfiguration strategy is developed for enhancing the PSCI of distribution network when the PSCI is lower than a pre-defined warning value. The reconfiguration strategy can be integrated to distribution management system (DMS) as a preventive control method to prevent outages of customers, which can significantly increase the reliability of distribution network. Case studies are carried out by using a typical 33-bus distribution network, and simulation results verify the effectiveness of the proposed reconfiguration strategy, which has a good engineering application prospect.

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“…Two other works (Kim et al [13], Fujii et al [14]) addressed the reconfiguration problem also minimizing the number of switch operations. In 2001, Ferreira et al [15] worked on the minimization of out-of-service load using a genetic algorithm.…”

mentioning

confidence: 99%

Switch and Tap-Changer Reconfiguration of Distribution Networks Using Evolutionary Algorithms

Mendes

Boland

Guiney

et al. 2013

IEEE Trans. Power Syst.

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The reconfiguration of distribution networks is an important combinatorial problem. This work addresses the particular case of reconfiguration after an outage caused by the loss of a single branch of the network. The reconfiguration is carried out over two domains simultaneously: re-switching strategies and transformer tap-changer adjustments. The approach was tested using a real large-scale network within the concession area of Energy Australia. The model considers four operational elements: an AC power flow model, the network's radial topology when operating, voltage limits and load limits. Two evolutionary algorithms were implemented and tested. The first was a genetic algorithm, applied over the space of possible re-switching strategies, and for both re-switching and tap-changer adjustments, simultaneously. The second was a memetic algorithm, applied over the same two variations of the reconfiguration problem. Computational tests consider the evaluation of the loss of every branch, reporting the number of buses affected, and the number of overloaded branches after the reconfiguration.

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On-line expert system for power distribution system control

Cited by 14 publications

References 6 publications

Review of Service Restoration for Distribution Networks

Review of Service Restoration for Distribution Networks

A Novel Reconfiguration Strategy for Active Distribution Network Considering Maximum Power Supply Capability

Switch and Tap-Changer Reconfiguration of Distribution Networks Using Evolutionary Algorithms

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