Optimal PMU placement for full network observability using Tabu search algorithm

By Jiangnan Peng, Yuanzhan Sun, H. Wang. 2006

287 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/539db1737abe6f0cc4ec7fcd8df0746a5cf09f63

How researchers see this paper

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In Electrical and Electronic Engineering

1. Nikolaos P. Theodorakatos
2. Nikolaos M. Manousakis
3. George N. Korres
4. Feng Lin
5. Wenyuan Li
6. Caisheng Wang
7. Jian Li
8. Yang Wang

Citations in the corpus

• Reliability-Based Incremental PMU Placement (2014, background): “Due to the economic consideration, the majority of PMU placement methods have aimed at a complete observable system [4]–[7] or the maximization of the number of observable”
• Optimal Placement of Phasor Measurement Units with Linear and Non-linear Models (2015, methodology): “A simple nondominated sorting genetic algorithm (NSGA) [23], a binary particle swarm optimization (BPSO) methodology [24], a modified discrete BPSO algorithm [25], a global optimization tabu search (TS) algorithm [26, 27], a recursive Tabu search (RTS) method [28], an immunity genetic algorithm (IGA”