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面向大规模光伏电站实时仿真的单元级精细化建模方法OA北大核心CSTPCD

Refined Real-time Simulation Modeling at the Unit Level for Large-scale PV Power Stations

中文摘要英文摘要

大规模光伏电站是目前光伏发展的主流趋势,支撑着我国"双碳"目标的实现.然而庞大的发电单元数目导致"模型计算复杂"与"仿真资源有限"矛盾凸显,使其精细化实时仿真面临巨大困难.该文提出一种面向大规模光伏电站实时仿真的单元级精细化建模方法.首先,针对光伏阵列工作原理进行分析,通过将原有"电压→ 电流"的电路解算形式改写为"历史电流源+变化量"的迭代更新形式,接着结合电气参数与历史源的慢变校正,实现低计算复杂度建模.然后,采用换流器开关函数模型将矩阵解算划分,直流电路独立解算,交流电路消去节点后获取发电单元整体的定导纳等效电路模型.最后,在RTDS平台上验证所提出模型精度,实现包含百台发电单元的光伏电站实时仿真.

The construction of large-scale photovoltaic(PV)power stations is the mainstream trend of photovoltaic development,supporting the realization of"carbon peaking and carbon neutrality goals".However,huge amounts of PV power units intensify the contradiction between"complex model calculations"and"limited simulation resources",which makes it face great difficulties in the refined real-time simulation.In this paper,the refined real-time simulation modeling at the unit level for large-scale PV power stations is proposed.First,the working principle of the PV array is analyzed,and the circuit calculation form of"voltage→ current"is rewritten to the iterative update form of"historical current source + change amount",and then the large-time-scale correction of electrical parameters and historical sources is combined to achieve low computational complexity modeling.Next,the switch function model of the inverter is used to separate the AC and DC matrix solution.The DC circuit is solved independently and the AC circuit eliminates nodes to obtain the definite admittance equivalent model of the PV power unit.Finally,the accuracy of the proposed model is verified on the RTDS platform and realizes the real-time simulation of the PV power station with hundreds of units.

郭临洪;夏仕伟;李昇蔚;冯谟可;许建中;胡斌江

新能源电力系统国家重点实验室(华北电力大学),北京市 昌平区 102206电网仿真重点实验室(中国南方电网公司),广东省 广州市 510663

动力与电气工程

大规模光伏电站光伏发电单元实时仿真精细化建模

large-scale photovoltaic power stationphoto-voltaic power unitreal-time simulationrefined modeling

《中国电机工程学报》 2024 (008)

2978-2989,中插4 / 13

国家自然科学基金项目(52277094). Project Supported by National Natural Science Foundation of China(52277094).

10.13334/j.0258-8013.pcsee.223060

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