Dynamic state estimation method for multiple battery energy storage systems with droop-based consensus control

Consensus control is a decentralized method to balance reserved energy of multiple battery energy storage systems (BESSs) in a power network. It only requires each BESS unit to communicate with its neighboring units to share a few measurements. However, disturbance in data transmission may degrade the performance of consensus control and even undermine the system stability. The objective of this paper is to propose a droop-based consensus control method for a microgrid system with multiple BESS units and an extended Kalman filter (EKF) based dynamic state estimation (DSE) framework to withstand disturbances and measurement noise. Note that a distributed dynamic state estimator is employed for each individual BESS. To validate the performance of the control mechanism and DSE framework, MATLAB/SimPowerSystems is used to develop electromagnetic transient simulation testbeds for two microgrids with multiple BESS units in both grid-connected and islanded modes. The results verify that communication disturbances, including data loss, false data injection, communication interruption, along with measurement noise can be properly handled by the proposed approach.

Automated summary

This paper proposes a droop-based consensus control method for balancing the energy of multiple BESS units in a microgrid system. By employing an extended Kalman filter (EKF) for dynamic state estimation, disturbances in communication and measurement noise can be effectively mitigated.