Hybrid of MST and Genetic Algorithm on Minimizing PMU Placement

Hybrid of MST and Genetic Algorithm on Minimizing PMU Placement

An improved genetic algorithm(GA) named MST-GA is proposed to minimize amount of PMUs for fully observing huge scale power grid. It adopts minimum spanning tree algorithm to repair unfeasible solutions, and makes use of the topology of power grid in the process of mutation. The simulation results of...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Zhu Hui-Ling, Duan Yuan-Xiu, Zhang Xiao-Pan, Qi Huan, Huang Cheng-Xun
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Algorithm design and analysis
Algorithms
Balances (scales)
Computer simulation
Conferences
genetic algorithm
Genetic algorithms
Genetics
Graph theory
minimum spanning tree algorithm
Mutations
Observability
optimal placement
phasor measurement unit
Phasor measurement units
Power grids
Power system stability
Simulation
Systems design
wide-area measurement system
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Beschreibung
Zusammenfassung:An improved genetic algorithm(GA) named MST-GA is proposed to minimize amount of PMUs for fully observing huge scale power grid. It adopts minimum spanning tree algorithm to repair unfeasible solutions, and makes use of the topology of power grid in the process of mutation. The simulation results of IEEE30 and IEEE39-bus system show that the algorithm can balance the quality and diversity of solutions better than others.
DOI:10.1109/ISDEA.2012.195