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天津大学电气自动化与信息工程学院,天津市 300072
Received:29 August 2023,
Revised:2024-04-21,
Published Online:11 September 2024,
Published:25 December 2024
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刘亚闯,杨挺,李浩.计及储备惯量和通信时延的交流微网事件触发频率控制策略[J].电力系统自动化,2024,48(24):79-87.
LIU Yachuang,YANG Ting,LI Hao.Event-triggered Frequency Control Strategy for AC Microgrids Considering Reserved Inertia and Communication Delay[J].Automation of Electric Power Systems,2024,48(24):79-87.
刘亚闯,杨挺,李浩.计及储备惯量和通信时延的交流微网事件触发频率控制策略[J].电力系统自动化,2024,48(24):79-87. DOI: 10.7500/AEPS20230829011.
LIU Yachuang,YANG Ting,LI Hao.Event-triggered Frequency Control Strategy for AC Microgrids Considering Reserved Inertia and Communication Delay[J].Automation of Electric Power Systems,2024,48(24):79-87. DOI: 10.7500/AEPS20230829011.
在孤岛交流微网中,可再生能源发电渗透率提升导致的低惯性和开放通信网络的通信时延对负荷频率控制系统稳定性的影响不可忽略。对此,文中提出了计及储备惯量和通信时延约束的孤岛交流微网自适应事件触发负荷频率控制策略。首先,设计了有界自适应事件触发通信机制。该机制能够有效节约通信资源,且能够确保当频率偏差恢复到允许区间时控制中心对频率状态的监控灵敏度。然后,充分考虑储备惯量和通信时延约束,构建了储备惯量的非线性饱和模型。最后,推导了在通信时延约束下所提控制策略的稳定性和参数的设计准则,并提出了考虑控制性能和通信资源平衡的参数优化方法。仿真结果表明,所提控制策略能够在保证系统鲁棒性的同时有效改善频率控制的动态响应特性。
In isolated AC microgrids
the impact of low inertia due to the increased penetration of renewable energy generation and the communication delay of public communication networks on the stability of the load frequency control system cannot be ignored. In this regard
this paper proposes an adaptive event-triggered load frequency control strategy for isolated AC microgrids considering reserve inertia and communication delay constraints. Firstly
a bounded adaptive event-triggered communication mechanism is designed. This mechanism can effectively save communication resources and ensure the sensitivity of the control center to monitor the frequency state when the frequency deviation returns to the permissible interval. Then
the nonlinear saturation model of reserve inertia is constructed with full consideration of the reserve inertia and communication delay constraints. Finally
the design criteria for the stability and parameters of the proposed control method under the communication delay constraints are rigorously deduced. A parameter optimization method considering the balance of control performance and communication resources is also proposed. Simulation results show that the proposed control strategy can ensure the system robustness while effectively improving the dynamic response characteristics of frequency control.
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