Self healing distribution networks using smart controllers

Coster, EJ Edward; Kerstens, Wcm; Berry, Tom

doi:10.1049/cp.2013.0603

Cited by 18 publications

(13 citation statements)

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“…978-1-5090-2157-4/16/$31.00 ©2016 IEEE In addition to the pilot project deployed in the Netherlands [1][2], projects based on this reference architecture have been deployed in France [4], Vietnam and Cuba. The system installed in Rotterdam operated successfully on 11 January 2015 [3] "Rotterdam, January 12, 2015 -For the first time in the Netherlands a power failure was automatically resolved by the intervention of the grid itself.…”

Section: Discussionmentioning

confidence: 99%

Reference architecture for Self Healing distribution networks

Berry

Chollot

2016

2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)

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Section: Discussionmentioning

confidence: 99%

Reference architecture for Self Healing distribution networks

Berry

Chollot

2016

2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)

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“…There are two main approaches to self-healing grids and both are tested in FASaD: centralised and de-centralised self-healing ( Fig. 2) [10]. Both are based on collecting information from sensors distributed in the grid and decide proper actions based on this information and logic for self-healing.…”

Section: Testing Self-healingmentioning

confidence: 99%

“…The main difference between the two approaches is where the logic is located. For a centralised system, the logic/algorithms are integrated in the SCADA/DMS system in the control centre [10,11]. For the de-centralised system, the logic is implemented in the RTUs [10].…”

Section: Testing Self-healingmentioning

confidence: 99%

“…For a centralised system, the logic/algorithms are integrated in the SCADA/DMS system in the control centre [10,11]. For the de-centralised system, the logic is implemented in the RTUs [10]. The centralised system is closer to the traditional control centre (system and operations) and can be considered as a development of control centre functionality.…”

Section: Testing Self-healingmentioning

confidence: 99%

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Smart fault handling in medium-voltage distribution grids

Tutvedt

Seguin

Kjølle

et al. 2017

CIRED - Open Access Proceedings Journal

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This study presents first results from a pilot project on using fault indicators and self-healing in medium-voltage distribution grids. Directional earth-fault indicators were chosen and deployed in real environments to test their functionalities and quantify their benefits for efficient grid operations. Self-healing concepts using these indicators will be tested in the described project. Different communication schemes will be explored in order to find the most costeffective solutions. Theoretical potentials of the expected benefits of the fault indicators located at different positions in the grid were modelled and will be compared to the results from field tests.

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“…The SCADA/DMS can make data collection and transmission as well as give switching operations. In the network fault, feeder terminal units can communicate with each other and automatically execute FLISR steps [14]. Multi-agent systems (MAS) have been introduced to support the distribution network fault management process [15,16], which could be an emergency control agent, restoration agent, corrective control agent, and preventive control agent.…”

mentioning

confidence: 99%

FLISR Approach for Smart Distribution Networks Using E-Terra Software—A Case Study

Bùi

Ngo

et al. 2018

Energies

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A smart grid concept has been defined in recent years, which emphasizes the importance on smart protection and measurement devices, reliable data communication and high security, optimal energy management system, and fault detection, location, isolation and service restoration (FLISR) of distribution networks (DNs). The main objectives of the FLISR approach are to achieve fast fault processing time, reduce the minimum number of interrupted customers, and improve the power supply reliability of the distribution. The conventional FLISR approach is to use signals of fault indicators (FIs) with distribution network states. The discrete installation of FIs to switches or reclosers may slow the processing time of fault detection and location, so it is necessary to develop a more efficient FLISR approach for smart distribution networks using functions of feeder terminal units (FTUs). In this paper, pick-up and tripping signals of overcurrent (OC) relays in combination with distribution grid states (e.g., switching status of devices, loss of voltage…) sent from feeder terminal units (FTUs) are used to detect and locate different fault types. Fault isolation and service restoration of black-out areas are then performed by solving an objective function with two main constraints, including (i) restoring the possible maximum number of out-of-service loads; and (ii) limiting the minimum number of switching operation. Thirteen performance factors (PF) are used for the post-fault service restoration process, consisting of: (i) Power Flow Violations (PFV), (ii) Bus Voltage Violations (BVV), (iii) Total Operation Cost (TOC), (iv) Lost Power (LP), (v) Outage Customer (OC), (vi) Number of Switching Steps (NSS), (vii) Power Losses (LOSS); (viii) Customer Minutes Interruption (CMI), (ix) Load Minutes Interruption (LMI), (x) MAIFI, (xi) SAIFI, (xii) SAIDI, and (xiii) Protection Validation (PRV). E-Terra platform of a distribution management system (DMS) is used to implement the proposed FLISR approach. Simulation and experiment results from a real 22 kV distribution network are also analysed to validate this FLISR approach. As a result, the novel FLISR approach has the ability to identify effectively the over-reaching of OC relays, indicate a mis-coordination risk of adjacent protection devices on the same feeder, and get the total processing time of fault detection, location and isolation as well as ranking all possible service restoration plans in distribution network at less than two minutes.

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Self healing distribution networks using smart controllers

Cited by 18 publications

References 0 publications

Reference architecture for Self Healing distribution networks

Reference architecture for Self Healing distribution networks

Smart fault handling in medium-voltage distribution grids

FLISR Approach for Smart Distribution Networks Using E-Terra Software—A Case Study

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