A Frequency Support Approach for Hybrid Energy Systems Considering Energy Storage

In hybrid energy systems, the intermittent and fluctuating nature of new energy sources poses major challenges for the regulation and control of power systems. To mitigate these challenges, energy storage devices have gained attention for their ability to rapidly charge and discharge. Collaborating with wind power (WP), energy storage (ES) can participate in the frequency control of regional power grids. This approach has garnered extensive interest from scholars worldwide. This paper proposes a two-region load frequency control model that accounts for thermal power, hydropower, ES, and WP. To address complex, nonlinear optimization problems, the dingo optimization algorithm (DOA) is employed to quickly obtain optimal power dispatching commands under different power disturbances. The DOA algorithm's effectiveness is verified through the simulation of the two-region model. Furthermore, to further validate the proposed method's optimization effect, the DOA algorithm's optimization results are compared with those of the genetic algorithm (GA) and proportion method (PROP). Simulation results show that the optimization effect of DOA is more significant than the other methods.

Automated summary

In hybrid energy systems, energy storage devices have gained attention for their ability to mitigate challenges posed by the intermittent and fluctuating nature of new energy sources. Collaborating with wind power, energy storage can participate in the frequency control of power grids. This paper proposes a two-region load frequency control model that employs the dingo optimization algorithm to obtain optimal power dispatching commands.