Pss and energy storage collaborative optimization

Do energy storage systems solve grid integration problems?

Many scholars have conducted studies on the configuration of energy storage systems, and the operation scheduling of power systems with energy storage, aiming to solve a series of problems in the grid integration process of new energy. The focus of those studies is slightly different.

What is the collaborative optimisation strategy of the sgls?

The solution process of the collaborative optimisation strategy of the SGLS, considering the dynamic time-series complementarity of multiple energy storage systems, includes K-means clustering, the Nash-Q algorithm, and balanced transfer.

Does hybrid energy storage affect distributed energy systems?

The influence of hybrid energy storage on distributed energy systems was fully considered. Subsequently, a two-layer collaborative optimization method for the novel system considering energy efficiency, economy, and environmental protection was presented. The novel system was applied to a nearly zero-energy community.

How can multi-type energy storage resources be utilised in collaborative optimisation?

The key to the collaborative optimisation of SGLS is to utilise multi-type energy storage resources in the rational allocation of the three sides of the source, grid, and load, and consider the interests of multiple parties to achieve mutual benefit and win-win results. The major contributions of this study are as follows.

What are the optimal scheduling results of pumped storage power station?

Optimal scheduling results of the power system with pumped storage power station. In the simulation, the wind power utilization rate of the system is 99.95%. After regulation by PS, the peak to valley ratio of load is reduced from 49% to 40%. The net load fluctuation is reduced, and loss-of-load doesn't occur.

How can energy storage improve multistorage complementarity?

Therefore, utilising various types of energy storage can achieve multistorage complementarity, and the energy storage has a fast response time. It can cut peaks and fill valleys for considerable time as well as provide “low storage and high incidence” to ensure that there are disposable scheduling resources at every moment.