首页|期刊导航|电力系统自动化|大规模光伏外送系统光伏逆变器直流侧电压跌落抑制策略

大规模光伏外送系统光伏逆变器直流侧电压跌落抑制策略OA

Mitigation Strategy for DC-side Voltage Sag of Photovoltaic Inverters in Large-scale Photovoltaic Power Transmission System

中文摘要英文摘要

大规模光伏外送系统在交流系统故障清除后,其光伏逆变器控制响应可能会引发直流侧电压跌落,这是一类由控制响应引起的新的电能质量问题.针对该问题,文中首先对光伏发电单元的内部功率特性以及逆变器控制状态对直流侧电压的影响展开研究.在机理分析的基础上,对直流侧电压跌落演化过程进行分析,并以阻止该过程中的工况演化为目的,提出了基于直流侧电压的故障检测方法以及基于有功输出限制的直流侧电压跌落抑制策略.在检测出故障后,采用定有功电流控制实现对逆变器有功功率送出的限制,从而达到抑制直流侧电压跌落的效果.最后,基于PSCAD/EMTDC仿真获取了抑制策略的最优参数,并通过对应用策略前后的系统进行故障仿真对比,验证了所提抑制策略的有效性.

In the large-scale photovoltaic(PV)power transmission system,the control response of PV inverters after the clearance of AC system faults may lead to DC-side voltage sags,representing a new type of power quality issue induced by control response.To address this issue,this paper first investigates the internal power characteristics of PV generation units and the impact of inverter control states on the DC-side voltage.Based on the mechanistic analysis,the evolution process of the DC-side voltage sag is analyzed.Aiming to prevent the operational state evolution during this process,a fault detection method based on DC-side voltage and a mitigation strategy for the DC-side voltage sag based on active power output limitation are proposed.After detecting a fault,the constant active current control is used to limit the active power output of the inverter,thereby achieving the effect of mitigating the DC-side voltage sag.Finally,the optimal parameters of the mitigation strategy are obtained based on PSCAD/EMTDC simulation,and the effectiveness of the proposed mitigation strategy is verified by comparing the fault simulation of the system before and after the application of the strategy.

李天宇;钟庆;冯俊杰;沈枢昊;李海锋;王钢

华南理工大学电力学院,广东省 广州市 510641华南理工大学电力学院,广东省 广州市 510641直流输电技术全国重点实验室(南方电网科学研究院有限责任公司),广东省 广州市 510663||强电磁技术全国重点实验室(华中科技大学),湖北省武汉市 430074华南理工大学电力学院,广东省 广州市 510641华南理工大学电力学院,广东省 广州市 510641华南理工大学电力学院,广东省 广州市 510641

新型电力系统电能质量控制响应光伏逆变器电压跌落故障检测抑制策略

new power systempower qualitycontrol responsephotovoltaic invertervoltage sagfault detectionmitigation strategy

《电力系统自动化》 2026 (12)

192-200,9

国家自然科学基金资助项目(52077082)中国南方电网有限责任公司科技项目(YNKJXM20222288). This work is supported by National Natural Science Foundation of China(No.52077082)and China Southern Power Grid Company Limited(No.YNKJXM20222288).

10.7500/AEPS20250503003

评论