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With the increasing penetration of electronic loads and distributed energyresources (DERs), conventional load models cannot capture their dynamics.Therefore, a new comprehensive composite load model is developed by WesternElectricity Coordinating Council (WECC). However, this model is a complexhigh-order nonlinear system with multi-time-scale property, which poseschallenges on stability analysis and computational burden in large-scalesimulations. In order to reduce the computational burden while preserving theaccuracy of the original model, this paper proposes a generic high-fidelityorder reduction approach and then apply it to WECC composite load model. First,we develop a large-signal order reduction (LSOR) method using singularperturbation theory. In this method, the fast dynamics are integrated into theslow dynamics to preserve the transient characteristics of fast dynamics. Then,we propose the necessary conditions for accurate order reduction and embed theminto the LSOR to improve and guarantee the accuracy of reduced-order model.Finally, we develop the reduced-order WECC composite load model using theproposed algorithm. Simulation results show the reduced-order large signalmodel significantly alleviates the computational burden while maintainingsimilar dynamic responses as the original composite load model.

High-Fidelity Large-Signal Order Reduction Approach for Composite Load Model