Hybrid multi agent approach for power distribution system restoration

Ghorbani, Javad; Chouhan, Sridhar; Choudhry, M.A.; Feliachi, A.

doi:10.1109/energytech.2013.6645321

Cited by 15 publications

(13 citation statements)

References 14 publications

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“…Once the fault is isolated, the optimal load restoration decision can be obtained using combinatorial optimization problem solving techniques [19]- [22], heuristic search techniques [23], network flow [24] or graph theory techniques [25]. Dynamic programming is also one of the commonly used techniques for this kind of problems [21].…”

Section: Previous Flisr Workmentioning

confidence: 99%

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A Multiagent Design for Power Distribution Systems Automation

Ghorbani¹,

Choudhry

Feliachi

2016

IEEE Trans. Smart Grid

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A new multiagent system (MAS) design for fault location, isolation, and restoration in power distribution systems (PDSs) is presented. When there is a fault in the PDS, MAS quickly isolates the fault and restores the service to the fault-free zones. Hierarchical coordination strategy is introduced to manage the agents, which integrate the advantages of both centralized and decentralized coordination strategies. Proposed MAS is composed of zone agents (ZAs), feeder agents (FAs), and substation agents. In this framework, ZA locate and isolate the fault based on the locally available information, and assist the FA for reconfiguration and restoration. FA can solve the restoration problem using the existing algorithms for the 0-1 knapsack problem. A novel Q-learning mechanism is also introduced to support the FA in decision making for restoration. The design is illustrated by the use of case studies of fault location, isolation, and restoration on West Virginia super circuit. The results from the case studies indicate the performance of proposed MAS design.

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Section: Previous Flisr Workmentioning

confidence: 99%

“…The mathematical formulation of the problem at state s is shown below with its objective function and constraints [22].…”

Section: A Restoration Formulationmentioning

confidence: 99%

A Multiagent Design for Power Distribution Systems Automation

Ghorbani¹,

Choudhry

Feliachi

2016

IEEE Trans. Smart Grid

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“…When permanent faults occur on overhead lines, having automated feeders can greatly enhance distribution grid reliability and reduce restoration of fault-free zones from several hours to a few seconds or minutes. More-accurate locating of fault zone will shorten the fault investigation (patrol) time, which in turn can reduce the total restoration time and duration of the outage experienced by the customers [1], [2].…”

Section: Introductionmentioning

confidence: 99%

Hardware design for distributed MAS-based fault location in power distribution systems

Ghorbani

Mohammadi

Choudhry

et al. 2014

2014 IEEE PES General Meeting | Conference &Amp; Exposition

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This paper describes the design and implementation of a Multi-Agent System (MAS) that provides a distributed algorithm for fault location and isolation in power distribution systems. The designed MAS locates and isolates the fault based on locally available information. Agents are implemented using power quality meters and rugged processors which communicate with MAS through serial and TCP/IP communication links.The system is intended for studying the fault location and isolation algorithm and analyzing the communication media performance.

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“…Fault location and isolation algorithm is done by the communication among agents while the restoration algorithm is processed by the corresponding feeder agent. Two scenarios with different fault types have been explained and analyzed successfully using MATLAB [4].…”

Section: Belkacemi and Feliachi Demonstrated Another Concept On A Modmentioning

confidence: 99%

“…Power Distribution Systems have encountered issues with interruption since research on multiagent systems for power distribution began. More than 80% of the outages occur in distribution systems according to U.S department of Energy studies [4]. When a fault occurs in a power distribution feeder, the corresponding protection recloser will lock out after three trials to eliminate the fault effect.…”

Section: Introductionmentioning

confidence: 99%

A Multi Agent System Design for Power Distribution Restoration Using Neural Networks

Mashta¹

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The state of the art of power distribution systems is to demand a more accurate response. It also provides more reliability for fault location and restoration respectively. A multi-agent system design for power distribution has been developed using the change of current methodology to detect and locate any type of faults. Employing the artificial intelligence for restoration process is the most important contribution to this study. Since feed-forward neural networks are weight training based back propagation concept, radial basis neural networks showed more efficiency by using the minimum error method to optimize the decision. A Probabilistic radial basis Neural Network (PNN) is designated at each feeder agent to implement the reconfiguration by analyzing the impedance and current values for each zone. The appropriate decision for the optimal reconfiguration case is a vector of activation signals associated with each switch to restore the power to the un-faulted zones of distribution feeder. This study examines the role of Universal Asynchronous Receiver Transmitter (UART) buffer circuits in the laboratory experiment demonstration of the multi-agent system design. The main approach of a self-healing concept is the protection system. A recloser has been developed and improved for more sensitivity and faster response to detecting a fault where ever it occurs and lead the process of isolating and re-configuration. An electronic buffer circuit using digital microcontroller has been associated with the recloser and agents switches in order to offer a satisfying feedback for the proposed approach. Simulation studies, using MATLAB SimPowerSystems and, Neural Network toolboxes, for the proposed power distribution system showed improved results for fault location and restoration using Radbas neural networks. Hardware implementation with high accurate software data scoping of results has been employed to show the difference in time response using Universal Asynchronous Receiver Transmitter buffers at each switching relay in the design.

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Hybrid multi agent approach for power distribution system restoration

Cited by 15 publications

References 14 publications

A Multiagent Design for Power Distribution Systems Automation

A Multiagent Design for Power Distribution Systems Automation

Hardware design for distributed MAS-based fault location in power distribution systems

A Multi Agent System Design for Power Distribution Restoration Using Neural Networks

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