From: A network science-based *k*-means++ clustering method for power systems network equivalence

Case no. | Tie-line combination | Original network | AED-based equivalent networks | |||
---|---|---|---|---|---|---|

Flow (MW) | AED-based k-means algorithm (“AED-based k-means bus clustering method” section) | AED-based k-means++ algorithm (Algorithm 3) | ||||

Flow (MW) | % deviation | Flow (MW) | % deviation | |||

Case 1 | TL25–26/TL17–18 | 41.30 | 41.50 | 0.48 | 41.34 | 0.10 |

Case 2 | TL25–26/TL4–14 | 35.78 | 35.81 | 0.09 | 35.75 | 0.09 |

Case 3 | TL25–26/TL6–11 | 41.50 | 40.50 | 2.40 | 40.49 | 2.43 |

Case 4 | TL17–18/TL4–14 | 10.67 | 19.73 | 84.90 | 18.85 | 76.66 |

Case 5 | TL17–18/TL6–11 | 23.58 | 40.52 | 71.82 | 32.76 | 38.93 |

Case 6 | TL4–14/TL6–11 | 32.81 | 32.67 | 0.43 | 32.77 | 0.12 |