考虑储能容量优化的新能源场站AGC策略

Research on AGC optimization control strategies for new energy sites with energy storage configuration

建立了不同类型资源的频率响应模型,并验证了储能与新能源协同参与系统调频的可行性。研究发现,风电机组可采用虚拟惯量控制、下垂控制、综合虚拟惯量控制和桨距角控制等方式,而光伏发电可通过减载运行和并网变换器控制策略参与频率调节。提出了一种新的动态频率响应模糊控制策略,用于协同运行风能和储能系统,以显著提高电力站内系统的频率响应能力。同时,采用粒子群算法对储能容量进行了优化配置,进一步增强了系统的调频性能。考虑储能单元前功率、容量和电池荷电状态(SOC)等因素,研究了不同状态下储能单元间AGC指令的分配策略,并深入研究了新能源场站内风电机组和光伏逆变器之间的AGC指令分配方法。有望在清洁能源的推动下,确保电力系统的稳定性和可靠性,为电力系统的可持续发展提供了重要支持。

Frequency response models for various types of new energy resources are established,affirming the feasibility of coordinated participation of energy storage and new energy sources in system frequency regulation.We delve into various participation modes for wind turbines and PV generation,including virtual inertia control,droop control,integrated virtual inertia control and pitch angle control.We propose a dynamic fuzzy control strategy for frequency response within new energy and energy storage integrated system sites.This strategy significantly enhances the system’s frequency response performance by coordinating the operation of wind energy and energy storage.Furthermore,we employ the particle swarm optimization algorithm to optimize energy storage capacity allocation,further enhancing the system’s frequency regulation capability.We investigate factors such as energy storage unit active power,capacity,and state of charge(SOC),and examine domestic and international approaches to AGC command allocation between wind turbines and PV inverters within new energy sites.These research outcomes offer crucial guidance for power system frequency regulation,with the potential to ensure system stability and reliability,particularly in the context of the promotion of clean energy.This study contributes to a deeper understanding of the complex interactions between clean energy resources and energy storage in the context of power system frequency regulation.The proposed strategies and insights are anticipated to play a pivotal role in ensuring the stability and reliability of power systems as they transition towards a cleaner energy future.