| 引用本文: | 孟建辉,彭嘉琳,王毅,王慧,赵彭辉.考虑储能荷电状态及频率恢复特性的改进型灵活虚拟惯性控制[J].电力自动化设备,2020,40(6): |
| MENG Jianhui,PENG Jialin,WANG Yi,WANG Hui,ZHAO Penghui.Improved flexible virtual inertial control considering SOC of energy storage and characteristics of frequency recovery[J].Electric Power Automation Equipment,2020,40(6): |
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| 摘要: |
| 基于虚拟同步发电机(VSG)控制的光储系统可向电网提供虚拟惯性以增强电网的稳定性，但源端储能的荷电状态和系统频率恢复特性对虚拟惯性的灵活调节具有重要的约束作用。针对此问题，在已有研究的基础上，提出了一种改进型灵活虚拟惯性控制方法，该方法一方面根据储能极限运行状态下的荷电状态自主调节虚拟惯量的大小，避免了储能单元的深度过充及过放；另一方面在储能安全运行时根据频率变化分阶段调节虚拟惯量，在减小系统频率偏差的同时加快其恢复速度。此外，搭建了孤岛四端微电网的小信号模型，分析了关键控制参数对系统稳定性的影响规律，并给出了控制参数的设计原则。最后，通过硬件在环实验验证了所提控制方法的有效性与优越性，提高了光储VSG控制技术的工程实用价值。 |
| 关键词: 虚拟同步发电机 荷电状态 频率恢复特性 虚拟惯性 小信号建模 稳定性分析 |
| DOI：10.16081/j.epae.202005026 |
| 分类号:TM31 |
| 基金项目:国家自然科学基金资助项目(51807064)；河北省自然科学基金资助项目(E2018502152)；中央高校基本科研业务费专项资金资助项目(2017MS098,2019MS074) |
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| Improved flexible virtual inertial control considering SOC of energy storage and characteristics of frequency recovery |
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MENG Jianhui, PENG Jialin, WANG Yi, WANG Hui, ZHAO Penghui
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State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China
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| Abstract: |
| The photovoltaic and energy storage system based on VSG(Virtual Synchronous Generator) control can provide virtual inertia for power grid to enhance the system stability. However, SOC(State Of Charge) of the source-end energy storage and the characteristics of system frequency recovery present essential limiting effect on the flexible adjustment of virtual inertia. Aiming at this problem, an improved flexible virtual inertia control method is proposed based on the existing research. On the one hand, the virtual inertia can be adjusted independently according to SOC in the limit operating state of energy storage, so that the deep overcharge and discharge of the energy storage can be avoided. On the other hand, the virtual inertia is adjusted according to the variation of frequency in stages during the safe operation of energy storage, so that reducing the system frequency deviation and accelerating the recovery speed. In addition, the small-signal model of the islanding four-terminal microgrid is built. The influence of the key control parameters on system stability is analyzed, and the design principles of parameters are explored. Finally, the effectiveness and the superiority of the proposed control method are verified by the hardware-in-the-loop experiments, and the engineering practical value of photovoltaic and energy storage VSG control technology is improved. |
| Key words: virtual synchronous generator state of charge characteristics of frequency recovery virtual inertia small-signal modeling stability analysis |
