Liansheng New Energy Energy Storage Frequency Modulation

Can large-scale battery energy storage systems participate in system frequency regulation?

In the end, a control framework for large-scale battery energy storage systems jointly with thermal power units to participate in system frequency regulation is constructed, and the proposed frequency regulation strategy is studied and analyzed in the EPRI-36 node model.

What is the mathematical model of the energy storage system?

The mathematical model of the specific control strategy of the energy storage system is as follows:(10)ΔPfref=−KFΔfH(11)ΔPbref=−KBΔfL 1. 1)Δf ≤ |0.033|Hz, the energy storage system does not participate in primary frequency modulation. 2. 2)Δf < −0.033 Hz and SOC ≥ 0.4, the actual output power value of energy storage is:

What is the frequency regulation control framework for battery energy storage?

(3) The frequency regulation control framework for battery energy storage combined with thermal power units is constructed to improve the frequency response of new power systems including energy storage systems. The remainder of this paper is organized as follows.

How can new energy power systems improve frequency stability?

Through in-depth analysis of the output characteristics and dynamic behavior of new energy, the fast and stable response of new energy power systems in the large-scale fluctuations can be achieved. It is hope to enhance frequency stability based on the adaptive adjustment ability of the enhanced system.

Does battery energy storage participate in system frequency regulation?

Combining the characteristics of slow response, stable power increase of thermal power units, and fast response of battery energy storage, this paper proposes a strategy for battery energy storage to participate in system frequency regulation together with thermal power units.

How can a frequency stability response model improve the performance of power systems?

This method can optimize the frequency stability response model, which helps to improve the overall performance and adaptability of new energy power systems. The above model can provide decision support tools for the development of power grid operators, achieving real-time monitoring and dynamic adjustment functions.