NDLI: Robust switching control for service restoration in smart grids considering switching malfunction by MAS

Content Provider	IET Digital Library
Author	Shirazi, Elham Jadid, Shahram
Abstract	This study proposes an agent-based approach to have a reliable service restoration scheme, which is vital to restore as many loads as possible after a permanent fault. The proposed multi-agent system (MAS) has four different types of agents: feeder agents, zone agents, switch agents and DG agents. The agents can communicate and cooperate with each other in order to supply services to out-of-service customers. An artificial neural network has been considered to handle DG uncertainties. The restoration plan is built in a distributed manner, based on local data considering system conditions, operational constraints and fault location. The result of the proposed MAS is a switching sequence. After defining this sequence, the command for opening will be received by circuit breaker agents. In case of one switch failure, the plan cannot be implemented, and hence the restoration plan will fail. To have a reliable restoration plan, the main feeder agent has to handle malfunction in order to operate the system at an acceptable range without violating system constraints. Different loading conditions have been considered under different scenarios and the results of the proposed approach for each scenario have been compared. Simulation results show the efficiency of the proposed agent architecture.
Starting Page	2372
Ending Page	2381
Page Count	10
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 12, Jun (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.6774
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-04-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Agent Architecture Agent-based Approach Artificial Neural Network Circuit Breaker Circuit Breaker Agents DG Agents DG Generation Uncertainties Different Loading Condition Distributed Manner Distributed Power Generation Distribution Network Expert System And Other AI Software And Technique Fault Diagnosis Fault Location Feeder Agent MAS Multi-agent System Multiagent System Neural Nets Operational Constraint Out-of-service Customers Permanent Fault Power Distribution Fault Power Engineering Computing Power System Economics Power System Managemen Power System Operation Power System Protection Power System Restoration Reliability Reliable Restoration Plan Reliable Service Restoration Scheme Robust Switching Control Smart Grid Smart Power Grid Switch Switch Failure Switching Malfunction Switching Sequence System Condition System Constraint Zone Agent
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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