Optimal Dynamic Equivalence Based on Multi-Objective Formulation

In the last decade, dynamic equivalents gain a great attention by researchers. Generally, replacement of the external system is based on the preservation of power flows at tie lines or preserving the electrical power of the generators in the internal system closely. To achieve both objectives, a multi-objective formulation is proposed. For this purpose, the novel Salp Swarm Algorithm (SSA) is used to drive Pareto set of optimal solutions. Then, a Fuzzy-Based selection mechanism is employed to find the best compromise solution that satisfies both objectives. In order to fit the dynamics of the external system, a six-order detail model with excitation system is used for an explicit representation. Applications are carried out on the New England system and the quality of the estimated model is validated through several scenarios.