Distributed approach in fault localisation and service restoration: State-of-the-Art and future direction

Mwifunyi, Rukia J.; Kissaka, Mussa; Mvungi, Nerey H.

doi:10.1080/23311916.2019.1628424

Cited by 9 publications

(7 citation statements)

References 80 publications

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“…Both primary and secondary distribution networks are operated radially. In Tanzania power system, the primary distribution network is automated but there is no automation in secondary distribution network [21][22][23][24].…”

Section: Study Justificationmentioning

confidence: 99%

An improved backward/forward sweep power flow method based on network tree depth for radial distribution systems

Kawambwa

Mwifunyi

Mnyanghwalo

et al. 2021

Journal of Electrical Systems and Inf Technol

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This paper presents an improved load flow technique for a modern distribution system. The proposed load flow technique is derived from the concept of the conventional backward/forward sweep technique. The proposed technique uses linear equations based on Kirchhoff’s laws without involving matrix multiplication. The method can accommodate changes in network structure reconfiguration by involving the parent–children relationship between nodes to avoid complex renumbering of branches and nodes. The IEEE 15 bus, IEEE 33 bus and IEEE 69 bus systems were used for testing the efficacy of the proposed technique. The meshed IEEE 15 bus system was used to demonstrate the efficacy of the proposed technique under network reconfiguration scenarios. The proposed method was compared with other load flow approaches, including CIM, BFS and DLF. The results revealed that the proposed method could provide similar power flow solutions with the added advantage that it can work well under network reconfiguration without performing node renumbering, not covered by others. The proposed technique was then applied in Tanzania electric secondary distribution network and performed well.

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Section: Study Justificationmentioning

confidence: 99%

An improved backward/forward sweep power flow method based on network tree depth for radial distribution systems

Kawambwa

Mwifunyi

Mnyanghwalo

et al. 2021

Journal of Electrical Systems and Inf Technol

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“…2 S = (5.8 + 7.1 + 4.7 + 1.5 + 0.5 + 0.00256 + 0.6 + 1.2 + 1.5 + 3 + 4.2 + 5.8) × 10 3 = 35.9 × 10 3 (9) Since the time intervals were indicated in the questionnaires, fixed points were chosen for calculating the expectation at each interval. These points corresponded to the middle of the intervals.…”

Section: Obtaining Information Timementioning

confidence: 99%

“…Other papers that concern simulations to increase reliability are based on restoration issues for distributed grids, e.g., static island power supply restoration strategy [7], power restoration method using a genetic algorithm [8], the state-of-the-art fault localization and service restoration [9], robust power supply restoration for self-healing active distribution networks [10], intelligent power supply restoration [11], power restoration strategy [12], and a fast power service restoration method [13].…”

mentioning

confidence: 99%

Analysis of the Power Supply Restoration Time after Failures in Power Transmission Lines

et al. 2020

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This paper presents the analysis of power supply restoration time after failures occurring in power lines. It found that the power supply restoration time depends on several constituents, such as the time for obtaining information on failures, the time for information recognition, the time to repair failures, and the time for connection harmonization. All these constituents have been considered more specifically. The main constituents’ results values of the power supply restoration time were analyzed for the electrical networks of regional power supply company “Oreolenergo”, a branch of Interregional Distribution Grid Company (IDGC) of Center. The Delphi method was used for determining the time for obtaining information on failures as well as the time for information recognition. The method of mathematical statistics was used to determine the repair time. The determined power supply restoration time (5.28 h) is similar to statistical values of the examined power supply company (the deviation was equal to 9.9%). The technical means of electrical network automation capable of the reduction of the power supply restoration time have also been found. These means were classified according to the time intervals they shorten.

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“…However, distributed approaches are better in terms of communication overhead and robustness (Raju et al, 2017). This study takes advantage of advancements in information and communication technologies and improved processing capabilities of computing devices (Mwifunyi et al, 2019) to that perform FLSR in a distributed manner. Distributed control approaches use a Multiagent System (MAS), a collection of autonomous computational entities (agents), which can be effective in broad applications performing tasks based on goals in an environment that can be difficult to be defined analytically (Habib et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Multiagent based fault localisation and service restoration in Tanzanian secondary distribution network

2021

Self Cite

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Fault Localisation and Service Restoration (FLSR) is a fundamental function during the distribution system's fault management process for improved service reliability and resilience. In Tanzania, fault management in the Secondary Distribution Network (SDN) is accomplished manually through customer calls and manual-line inspections. Service restoration's decision relies on prior experiences, rated capacity of transformers and peak hour demand, causing prolonged service restoration and load shedding. Approaches devised to solve the FLSR problem include centralised and distributed ones. The study aimed at designing and developing a distributed algorithm based on the Multiagent System (MAS) for FLSR in SDN. Data from the Tanzanian utility company, including load demand, distribution network topology, and emergency reports, enabled the development of the MAS for FLSR. An intensive literature review has also been conducted. Five agents, namely Control Agent, Grid Agent, Load Agent, Renewable Distributed Generation Agent and Switch Agent have been developed to support the FLSR process. The agents facilitated decision-making by locating faults and perform a restoration process through load transfer to the nearby transformer and shedding loads. Consideration of the stochastic nature of load demand through using the LSTM model maximised the restored load. Future work will focus on deploying and testing the developed algorithm on a real power system.

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Distributed approach in fault localisation and service restoration: State-of-the-Art and future direction

Cited by 9 publications

References 80 publications

An improved backward/forward sweep power flow method based on network tree depth for radial distribution systems

An improved backward/forward sweep power flow method based on network tree depth for radial distribution systems

Analysis of the Power Supply Restoration Time after Failures in Power Transmission Lines

Multiagent based fault localisation and service restoration in Tanzanian secondary distribution network

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