Fault diagnosis of power systems

Sekine, Yasuji; Akimoto, Y.; Kunugi, M.; Fukui, Chihiro; Fukui, Shinta

doi:10.1109/5.137222

Cited by 74 publications

(24 citation statements)

References 17 publications

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“…For coordinative fuzzy relation, it uses the Zadeh's maximum fuzzy implication, as the following shows is is (4) For binary fuzzy relation, it uses the standard sequence fuzzy implication, as (4) is is (5) where and are fuzzy sets in the universes of discourse and . Let the membership functions for and be and , respectively.…”

Section: Fuzzy Logic [16]mentioning

confidence: 99%

“…Manuscript In the early work, the rule-based expert systems were proposed [1]- [4]. References [2] and [5] used the information-based approach to evaluate possible faults in the intersection of the tripped relay protection zones. Some of these expert systems have the inconvenience of using inference method that depends on the power network topology and the installed protection schemes.…”

Section: Introductionmentioning

confidence: 99%

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Fault section diagnosis of power system using fuzzy logic

Chin

2003

IEEE Trans. Power Syst.

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This paper proposed a fast diagnosis system for estimating the fault section of power system by using hybrid cause-effect network and fuzzy logic. This proposed system builds the cause-effect networks, which represent the fuzzy relations of protective relays and circuit breakers (CBs) for selection of faulty sections in blackout areas. In order to deal with the uncertain information in the process of diagnosis, a fuzzy-logic method is derived. Since the cause-effect network is well suited for parallel processing and the fuzzy logic has fast solution advantage, the inferential speed can be improved significantly. An error detector also was developed in this system to handle malfunction of relays and circuit breakers. Many tests have been run to show its effectiveness. Results show that the proposed system is a very effective method.Index Terms-fault section diagnosis, cause-effect network, protective relays, circuit breakers, fuzzy logic.

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Section: Fuzzy Logic [16]mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fault section diagnosis of power system using fuzzy logic

Chin

2003

IEEE Trans. Power Syst.

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“…The DSS enables rapid fault diagnosis through partitioning large systems [6]. A fault is difficult to diagnose with binary logic because the more protective devices operate, the higher are the uncertainties [1]- [7]. Neural-network approaches and genetic algorithms are insufficient for describing the operated time sequences of the protection systems although they can reduce the computation time and represent a large system easily [8]- [11].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fault Section Estimation Using Matrix Representation With Fuzzy Relations

Min

Sohn

Park

et al. 2004

IEEE Trans. Power Syst.

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In this paper, a method for the fault section estimation that considers the network topology under the influence of a circuit breaker tripped by the previous fault is proposed. The proposed method uses a three-dimensional (3-D) matrix to represent the network topology and the protection systems. The proposed network matrix describes the sections that are protected by particular protective devices that can be changed according to the network topology. To deal with the uncertainties imposed on the protection systems, the fuzzy set theory was applied to the network matrix in order to examine the relationships between the operated protective devices and the fault section candidates. A systematic method for the fuzzy membership function for each relation is proposed. In the proposed method, the operated time sequences of the protective devices were employed because either the network matrix or the network topology varied whenever the operations of the circuit breakers occur. The efficiency and adaptivity of the proposed method were demonstrated in experimental studies on real power systems in the Korean electric power system, particularly in case of complicated multiple faults.Index Terms-Fault diagnosis, fuzzy set, power system.

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“…An expert system has been implemented in cooperation with SCADA and EMS to develop a more efficient and precise centralized fault diagnosis system in transmission networks (Sekine et al, 1992). The approach registers information such as fault location, causes of fault and identifies unwanted operation of protection devices.…”

Section: Literature Reviewmentioning

confidence: 99%