WANG Miao, LIU Gang, WANG Zhonghui, et al. Adaptive load frequency control of battery pack in multi area interconnected power system[J]. Energy Storage Science and Technology, 2026, 15(10): 3986-3988.
WANG Miao, LIU Gang, WANG Zhonghui, et al. Adaptive load frequency control of battery pack in multi area interconnected power system[J]. Energy Storage Science and Technology, 2026, 15(10): 3986-3988.DOI: 10.19799/j.cnki.2095-4239.2026.0852.
With the gradual transformation of power energy market structure to clean energy
the development of multi regional interconnected power system has become the core of the development of modern power grid. China's new energy storage and battery industry is developing rapidly. As a key unit of load frequency control (LFC)
the performance of battery pack affects the stability and economy of power grid. The complexity of multi area interconnected system puts forward higher requirements for battery pack
and the traditional static control method is difficult to adapt. Adaptive load frequency control technology has become an important breakthrough to improve the stability of the system. This research focuses on the research progress of battery pack related technologies in power system
including battery technology iteration
hybrid energy storage system collaboration
power market and battery control; It also describes the development of adaptive load frequency control technology
such as regional cooperative control under distributed algorithm and data-driven regional cooperative control
i.e. model free adaptive control and reinforcement learning control technology
in order to provide some theoretical reference for subsequent research.
ZHANG Y W, XU D Z, YANG W L, et al. Sensor fault-tolerant load frequency control for multi-area interconnected power system with hybrid energy storage system[J]. Control and Decision, 2021, 36(5): 1069-1077.
QIN Y T, ZHANG J, ZHANG Z Z, et al. Frequency control strategy for multi-area interconnected power systems with electric vehicles[J]. Electric Power Engineering Technology, 2025, 44(6): 114-122, 133.