Smart distribution network restoration using multi agent system

2016 ◽  
Author(s):  
Rajan Kumar Mishra ◽  
K. Shanti Swarup
Keyword(s):  
Distribution Network ◽  
Multi Agent System ◽  
Agent System ◽  
Network Restoration ◽  
Multi Agent ◽  
Smart Distribution Network

A Self-Learning Evolutionary Multi-Agent System for Distribution Network Reconfiguration

2010 ◽  
Vol 439-440 ◽  
pp. 1209-1214
Author(s):  
Hong Bin Sun ◽  
Yong Sheng Ding
Keyword(s):  
Distribution Network ◽  
Autonomous Agent ◽  
Network Reconfiguration ◽  
Multi Agent System ◽  
Agent System ◽  
Distribution Network Reconfiguration ◽  
Combinational Optimization ◽  
Multi Agent ◽  
Relationship Network ◽  
Self Learning

The paper proposes a self-learning evolutionary multi-agent system for distribution network reconfiguration. The network reconfiguration is modeled as a multi-objective combinational optimization. An autonomous agent-entity cognizes the physical aspects as operational states of the local substation, the agent-entities establish relationship network based on the interactions to provide service. Multiple objectives are considered for load balancing among the feeders, minimum deviation of the nodes voltage, minimize the power loss and branch current constraint violation. These objectives are modeled with fuzzy sets to evaluate their imprecise nature and one can provide the anticipated value of each objective. The method completes the network reconfiguration based on the negotiation of autonomous agent-entities. Simulation results demonstrated that the proposed method is effective in improving performance.

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