Two-Layer Optimization Method for Sharing Energy Storage and Energy considering Subjectivity

Table 1

Genetic-algorithm parameters.

Parameter	Value
Number of individuals	50
Maximum generation	50
Precision of variables	8
Crossover probability	0.7
Mutation probability	0.01