<｜begin▁of▁sentence｜>### Instruction:
As a materials engineer specializing in advanced materials science, you are tasked with optimizing the performance and durability of materials used in electrical grid infrastructure. Leveraging network analysis tools like NetworkX and CDLib, you have been given a Power Grid Graph represented in a GML file named power.gml. Your objective is to apply the 'principled_clustering' community detection algorithm from CDLib to identify clusters within the power grid network that exhibit similar connectivity patterns. Additionally, you must represent the resulting clustering as a JSON object for further analysis and interpretation.
### Response:
import networkx as nx
from cdlib import algorithms

G = nx.read_gml('power.gml')
coms = algorithms.principled_clustering(G, 2)

# To get the JSON representation of the clustering
coms_json = coms.to_json()
print(coms_json)
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