光伏电站面向快速频率响应的优化控制技术研究与实践
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(南京南瑞继保电气有限公司,江苏 南京 211100)

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王淑超(1979—),男,通信作者,硕士,高级工程师,研究方向为电力系统与新能源发电并网控制技术;E-mail:wangsc@nrec.com
段胜朋(1987—),男,硕士,研究方向为新能源发电保护与控制技术;
王 健(1991—),男,硕士,研究方向为新能源发电保护与控制技术。

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国家重点研发计划项目(2017YFB0903305)


Research and practice of fast frequency response oriented control optimization technology of PV power stations
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(NR Electric Co., Ltd., Nanjing 211100, China)

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    摘要:

    目前光伏电站没有一次调频功能,功率控制响应缓慢且精度不高,无法满足西北电网对新能源电站提出的快速度、高精度的快速频率响应规范要求,迫切需要进行优化升级。针对传统方案中平均功率分配算法准确度低和常规逆变器MPPT算法功率执行响应速度慢两方面的不足,分别提出了基于样本逆变器的等比例分配算法和参考样本逆变器状态值的跨越式MPPT算法。最后通过执行响应偏差分析、总体性能对比分析和功率分配仿真试验以及光伏电站现场的逆变器响应测试试验,验证了采用相关技术进行光伏电站快速调频响应的有效性和实用性。

    Abstract:

    At present, photovoltaic power stations generally do not have primary frequency modulation function, and the existing power control response is slow and inaccurate, which can not meet the fast and high-precision requirements of the fast frequency response specifications for the new energy plants released by the Northwest Power Grid of SGCC, so it urgently needs to be optimized and upgraded. In the view of the shortcomings of the low accuracy of traditional average power allocation algorithm and the slow power execution response of conventional MPPT algorithm for inverters, this paper proposes a reference inverter based proportional allocation algorithm on the station side, and also gives a leaping MPPT algorithm based on the reference inverters’ state on the final inverter side. Finally, the analysis of response deviation and the comparison of overall scheme performance, the power allocation simulation test and the on-site inverter power response tests are used to verify the effectiveness and practicability of relevant technologies when implementing the fast frequency response function to PV power station. This work is supported by National Key Research and Development Program of China (No. 2017YFB0903305).

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王淑超,段胜朋,王健,等.光伏电站面向快速频率响应的优化控制技术研究与实践[J].电力系统保护与控制,2019,47(14):59-70.[WANG Shuchao, DUAN Shengpeng, WANG Jian, et al. Research and practice of fast frequency response oriented control optimization technology of PV power stations[J]. Power System Protection and Control,2019,V47(14):59-70]

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  • 收稿日期:2018-09-17
  • 最后修改日期:2019-01-01
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  • 在线发布日期: 2019-07-16
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