How can a passivity-based control strategy improve grid-forming multi-inverter power stations?

We propose a passivity-based control strategy to enhance the stability and dynamic performance of grid-forming multi-inverter power stations and address these challenges. The inner loop designed from the perspective of energy reshaping, ensures the stability of the inverter’s output.

Can inverter stability be improved in power stations?

This work provides a feasible solution for enhancing inverter stability in power stations, contributing to the reliable integration of renewable energy. Existing grid-connected inverters encounter stability issues when facing nonlinear changes in the grid, and current solutions struggle to manage complex grid environments effectively.

Are grid-connected inverters stable?

Abstract: Existing grid-connected inverters encounter stability issues when facing nonlinear changes in the grid, and current solutions struggle to manage complex grid environments effectively.

Do 5G communication base stations have multi-objective cooperative optimization?

This paper develops a method to consider the multi-objective cooperative optimization operation of 5G communication base stations and Active Distribution Network (ADN) and constructs a description model for the operational flexibility of 5G communication base stations.

Does inverter stability under nonlinear and random disturbances ensure stability?

Finally, experimental and simulation results verify that the proposed method ensures inverter stability under nonlinear and random disturbances, significantly suppressing oscillations while maintaining operation without steady-state errors.

What is the optimal ADN operation of 5G communication base stations?

Under the current technological level and market conditions, due to the natural contradiction between the above-mentioned economy and the realization of carbon emission reduction objectives, the optimal ADN operation of 5G communication base stations can be summarized as a typical multi-objective optimization problem.