A Multi-Agent-Based Self-Healing Framework Considering Fault Tolerance and Automatic Restoration for Distribution Networks

Guan, Lin; Chen, Hengan; Lin, Lingxue

doi:10.1109/access.2021.3055284

Cited by 20 publications

(16 citation statements)

References 26 publications

(29 reference statements)

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“…in [10,42,48] and this paper) can locate and isolate the fault by primary protections very well. Compared with other methods in [10,42,48], the proposed FDMAS primary protection achieves same or better performance on fault clearance time.…”

Section: A 84-bus Systemmentioning

confidence: 69%

“…Authors in [41] proposed a communication-assisted protection and FLISR control scheme for distribution systems based on IEC 61850. In [42], a self-healing framework was proposed in the basis of MAS considering the penetration of DGs. In [43], a distributed multiagent-based FLISR algorithm was presented for selfhealing grids.…”

Section: B Previous Researchmentioning

confidence: 99%

“…1) This paper presents an integrated multistage strategy on the basis of multistage characteristics of self-healing control, which decomposes the complex self-healing problem into simpler phased sub-problems and is collaboratively addressed by different algorithms at different stages, different from previously heuristic-rule-based [27,36], expert-rule-based [29], graph-theory-based [37], multistate-based [17][18][19] FDMAS or centralized service restoration methods and centralized resilience-based [38][39][40], DMAS-based [41][42][43] FLISR approaches.…”

Section: Contributionsmentioning

confidence: 99%

“…Moreover, the fault clearance range of the proposed backup protection can be minimized due to minimal extension of BPZ. Here the methods in [42,48] can only provide a type of fault tolerance for communication and CT failure respectively. It is therefore evident in contrast to the methods in [42,48] that the proposed protection algorithm is effective and has advantages in completeness of backup protection function and fault clearance time and range, and has approximate or slightly better performance on backup fault clearance time than the method in [10].…”

Section: ) Case 1: Fault Location and Isolationmentioning

confidence: 99%

See 3 more Smart Citations

Integrated Multistage Self-Healing in Smart Distribution Grids Using Decentralized Multiagent

Deng

Zhang

et al. 2021

IEEE Access

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Smart self-healing is perceived as a new alternative to ensure reliability and quality of power supply with the development of intelligent communication and control technology. On the basis of multistage characteristics of self-healing control, this article proposes an integrated multistage self-healing strategy for smart distribution systems using multiagent system (MAS), in which the complex self-healing problem is decomposed into phased sub-problems and is addressed by a unified control framework composed of different algorithms of stages. In the proposed control framework, decision-making agents vary with fault points and transition between self-healing stages making the technique fully decentralized. Stressing on the coordination between stage algorithms composed of communication self-adaption, fault tolerance, fault location and isolation, service restoration and state regression, the proposed strategy features well real-time control performance and relatively complete self-healing functions. Comprehensive simulation studies are carried out on the 84-bus and 22-bus distribution systems using MATLAB and JADE and the self-healing test platform respectively, and the test results have shown the effectiveness of the proposed strategy.

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Section: A 84-bus Systemmentioning

confidence: 69%

Section: B Previous Researchmentioning

confidence: 99%

Section: Contributionsmentioning

confidence: 99%

Section: ) Case 1: Fault Location and Isolationmentioning

confidence: 99%

See 2 more Smart Citations

Integrated Multistage Self-Healing in Smart Distribution Grids Using Decentralized Multiagent

Deng

Zhang

et al. 2021

IEEE Access

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“…Kumar et al [4] built up on the ideas of inference-based ambiguity management in the setting of decentralized control and developed a framework for inference-based decentralized diagnosis. Guan et al [5] proposed a control and protection framework based on multiagent system (MAS), in which situation awareness of zone agents plays an important role.…”

Section: Related Workmentioning

confidence: 99%

An Adaptive Industrial Control Equipment Safety Fault Diagnosis Method in Industrial Internet of Things

Zhang

Meng

et al. 2021

Security and Communication Networks

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With the rapid development of intelligent manufacturing and Industrial Internet of Things, many industrial control systems have high requirements for the security of the system itself. Failures of industrial control equipment will cause abnormal operation of industrial control equipment and waste of resources. It is very meaningful to detect and identify potential equipment abnormalities and failures in time and implement effective fault tolerance strategies. In the Industrial Internet of Things environment, the instructions and parameters of industrial control equipment often change due to changes in actual requirements. However, it is impractical to customize the learning method for each parameter value. Aiming at the problem, this paper proposes a fault diagnosis model based on ensemble learning and proposes a method of updating voting weights based on dynamic programming to assist decision-making. This method is based on Bagging strategy and combined with dynamic programming voting weight adjustment method to complete fault type prediction. Finally, this paper uses different loads as dynamic conditions; the diagnostic capability of the Bagging-based fault diagnosis integrated model in a dynamically changing industrial control system environment is verified by experiments. The fault diagnosis model of industrial control equipment based on ensemble learning effectively improves the adaptive ability of the model and makes the fault diagnosis framework truly intelligent. The voting weight adjustment method based on dynamic programming further improves the reliability of voting.

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Proportional‐integral‐derivative controller‐based self‐healing of distribution system using wireless sensor networks in smart grid

Cheena

Amgoth

Shankar

2022

Int J Communication

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Summary The grid is a platform of distributing the power to the consumers; if an automatic controlling and monitoring are connected with the grid, it referred to as smart grid (SG). Self‐healing is the approach of restoring the unaffected areas without affecting the system performance. The term restoration is if a fault occurs on a distribution system, it must be isolated; after that, it can be reconfigured to restore the unaffected areas. The distribution system cannot work as efficient without the self‐healing approach because it will affect the unaffected areas without any proper reason. This paper proposed a multiagent system with controlled voltage (MAS‐CV) along with self‐healing of wireless sensor network (WSN) with proportional integral derivative (PID) controller in smart grid. At initial, the magnetic flux sensors are placed in the pole transformer for detection of flux leakage. The sensed data are transferred to the distribution grid, where the multiagent system (MAS) is established to carrying out the load restoration process (i.e., self‐healing). Connection agents (CA), monitor agent (MA), main feeder agent (MFA), backup feeder agent (BFA), supporting feeder agent (SFA), and local agent (LA) are the agents presented in the paper. Each agent is communicating via agent communication language (ACL) for the restoration process; after all the loads are restored, the voltage drop of the system is controlled by the proportional integral derivative controller. The simulation results of the proposed method show that the restoration of loads is improved and number of switching is reduced with improved data transmission. Thus, the cost of the proposed method is reduced by the reduced switches. At last, the controlled power from the distribution grid is send to the consumer.

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A Multi-Agent-Based Self-Healing Framework Considering Fault Tolerance and Automatic Restoration for Distribution Networks

Cited by 20 publications

References 26 publications

Integrated Multistage Self-Healing in Smart Distribution Grids Using Decentralized Multiagent

Integrated Multistage Self-Healing in Smart Distribution Grids Using Decentralized Multiagent

An Adaptive Industrial Control Equipment Safety Fault Diagnosis Method in Industrial Internet of Things

Proportional‐integral‐derivative controller‐based self‐healing of distribution system using wireless sensor networks in smart grid

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