离网状态储能/燃气机分层协调频率控制策略  

Hierarchical Coordination Frequency Control Strategy of Battery Energy Storage/Gas Turbine under Off-Grid State

作　　者：刘小龙 李欣然[2] 孟娅[2] 陈常青 杨徉 Liu Xiaolong;Li Xinran;Meng Ya;Chen Changqing;Yang Yang(College of Electrical and Information Engineering Hunan Institute of Engineering,Xiangtan 411104 China;College of Electrical and Information Engineering Hunan University,Changsha 410082 China)

机构地区：[1]湖南工程学院电气与信息工程学院,湘潭411104 [2]湖南大学电气与信息工程学院,长沙410082

出　　处：《电工技术学报》2023年第17期4800-4810,共11页Transactions of China Electrotechnical Society

基　　金：国家重点研发计划资助项目(2017YFB0903400)。

摘　　要：针对主从控制模式下的光储燃微电网离网运行频率控制问题进行研究。该文以燃气轮机作为主控制单元场景,提出基于模型预测控制(MPC)与低通滤波(LPF)算法的储能/燃气机分层协调频率控制策略。上层分钟级控制中,通过模型预测控制理论,以储能荷电状态(SOC)和电源出力变化最小为目标主动地滚动调整电源出力基准,减小功率不平衡,有效地避免由于燃气机响应速度慢而导致的系统频率波动,同时,利用低通滤波算法分离高低频扰动,让燃气机承担低频大扰动,避免频繁地往复动作而损坏设备;底层秒级控制中,在上层基准出力的基础上,通过虚拟下垂和虚拟惯性控制原理动态调整储能出力,协同燃气机共同参与调频,进一步抑制系统频率波动。最后,通过仿真验证了该控制策略的有效性。The micro-grid contains a large number of power electronic devices,and the random output of renewable energy makes the frequency stability control under the independent operation of micro-grid more challenging. In the current research work, the frequency stability of the micro-grid system is effectively improved by using battery energy storage as an auxiliary frequency modulation control unit. However, the energy is very limited when off grid, and the battery energy storage needs to be used as a power support unit to supply power for part of the load. Auxiliary frequency modulation using battery energy storage may cause its state of charge (SOC) to deviate from the planned value, affecting normal power supply. On the other hand, during the control process, the output of battery energy storage and synchronous generator (gas engine, diesel engine, etc.) is adjusted according to the frequency deviation of the system, which is relatively passive. Based on the above analysis, taking the photovoltaic / battery energy storage / gas turbine micro-grid under the master-slave control mode as the research background, taking the battery energy storage and gas turbine as the main control units, the corresponding frequency control strategies are proposed. (1) Taking gas turbine as the main control unit, a hierarchical coordinated frequency control strategy for gas turbine/battery energy storage based on model predictive control(MPC) and low-pass filtering(LPF) algorithm is proposed. In the upper minute level control, the model predictive control is used to continuously adjust the power output plan with the goal of minimizing the battery energy storage SOC and the power output change, reducing the source load power deviation. At the same time, the low pass filtering algorithm is used to divide the frequency, so that the gas turbine can bear the low-frequency disturbance component to avoid the frequency fluctuation caused by the slow response speed of the gas turbine;In the bottom second level control, based on the upper level o

关 键 词：光储燃微电网 频率控制 模型预测控制 低通滤波算法 虚拟下垂/惯性控制 

分 类 号：TM73[电气工程—电力系统及自动化]