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基于扰动识别的新能源控制策略自适应优化

Adaptive optimization of new energy control strategies based on disturbance identification
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摘要 由于电网中存在多种稳定问题且不同扰动类型对新能源机组故障穿越策略的需求各异,仅针对单一稳定问题进行优化的控制策略可能难以适应其他稳定需求甚至会引发负效应,增大了优化难度。为解决上述问题,分析了不同故障扰动下新能源机组故障穿越策略对系统稳定水平的影响,基于对不同故障扰动下新能源机组机端电压变化情况的分析,提出了以电压变化速率及电压进入低电压穿越门槛后的恢复时间作为判据的扰动类型识别方法,并实现参数自适应调整,最后提出了基于扰动识别的新能源控制策略自适应切换控制方案,以提升多样化稳定问题场景下的系统稳定水平。以西北某省级电网为例,验证了所提方法的有效性。 Due to the existence of multiple stability problems in the power grid and the different requirements of different types of disturbances for the fault ride-through strategies of new energy units,the control strategy optimized for a single stability problem may be difficult to adapt to other stability requirements, and even cause negative effects,which increases the difficulty of optimization. In order to solve the above problems,the influence of the fault ride-through strategy of new energy units under different fault disturbances on system stability level is analyzed,and then,based on the analysis of the terminal voltage chan-ges of new energy units under different fault disturbances,the disturbance type identification method based on the voltage change rate and the recovery time after the voltage enters the low threshold is proposed, and the adaptive adjustment of the parameters is realized,and finally the adaptive switching control scheme of the new energy control strategy based on disturbance recognition is proposed to improve the system stability level in diversified scenarios. Taking a provincial power grid in Northwest China as an example,the effectiveness of the proposed method is verified.
作者 任冲 牛拴保 夏川淋 REN Chong;NIU Shuanbao;XIA Chuanlin(Northwest Branch of State Grid Corporation of China,Xi’an 710048,China;School of Electrical Engineering,Xi’an Jiaotong University,Xi’an 710049,China;NR Electric Co.,Ltd.,Nanjing 211102,China)
出处 《电力自动化设备》 EI CSCD 北大核心 2024年第9期57-64,共8页 Electric Power Automation Equipment
基金 国家电网公司科技项目(SGNW0000DKJS2310133)
关键词 新能源 低压穿越 自适应控制 电力系统 稳定 扰动识别 过电压 new energy low voltage ride through adaptive control electric power systems stability distur-bance identification overvoltage
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