A virtual inertia allocation method based on grey wolf optimization

Abstract

To address the optimal inertia allocation after replacing the moment of inertia with virtual inertia in power systems， a method for virtual inertia allocation based on grey wolf optimization （GWO） is proposed. Firstly， the demand for inertia in high-proportion renewable energy power systems is determined. Secondly， considerations include factors such as frequency stability and investment cost of virtual inertia. An optimal model for virtual inertia allocation is constructed with critical inertia， rate of change of frequency （RoCoF）， and maximum frequency deviation as constraints， as well as with the objective of minimizing the frequency safety index and investment cost. The GWO is employed to solve the model. Finally， simulation analysis is conducted using the modified WSCC 9-bus system and IEEE 39-bus system as examples. The results validate the effectiveness and universality of the proposed method.

Keywords

• virtual inertia
• critical inertia
• frequency stability
• investment cost
• gwo