Research Article
Design of a Robust Coordinated Power Oscillation Damper for Use with Large-Scale Wind Energy System Connected to a Multimachine Power System
Algorithm 1
Pseudocode for the hybrid GWO-PSO.
| | Initialization of the population Xi (i = 1, 2, …, n) | | | Initialization of GWO-PSO parameters, i.e., (a, A, C, ) | | | Calculation of fitness for each wolf in the population | | | The top three individual wolves with the highest fitness are recorded as , and respectively | | | While (i < maximum iteration) | | | For each wolf | | | The position of the current individual is updated based on PSO using (29) and (30) | | | End for | | | The values for a, A, and C are updated | | | The fitness value of all individuals is calculated | | | , and is updated | | | i = i + 1 | | | End While | | | The position of the alpha wolf, , is returned |
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