网络首发:2026-03-05,
纸质出版:2026-03-05
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徐文豪, 季亮, 洪启腾, 等. 基于数字孪生的新能源场站间多目标电压协调控制[J]. 太阳能学报, 2026,47(2):255-265.
徐文豪, 季亮, 洪启腾, et al. 基于数字孪生的新能源场站间多目标电压协调控制[J]. 2026, 47(2): 255-265.
徐文豪, 季亮, 洪启腾, 等. 基于数字孪生的新能源场站间多目标电压协调控制[J]. 太阳能学报, 2026,47(2):255-265. DOI: doi:10.19912/j.0254-0096.tynxb.2024-1693.
徐文豪, 季亮, 洪启腾, et al. 基于数字孪生的新能源场站间多目标电压协调控制[J]. 2026, 47(2): 255-265. DOI: doi:10.19912/j.0254-0096.tynxb.2024-1693.
在电网发生不对称电压跌落时逆变型新能源场站可能出现电压骤降、电流越限等一系列风险
并导致场站脱网造成严重后果。传统的新能源场站间协调控制方法的主要缺点是控制目标单一且严重依赖于实时通信。针对以上问题
提出一种基于数字孪生的新能源场站间多目标电压支撑协调控制策略。首先
开展新能源场站间多目标协调控制技术
在考虑逆变器运行安全的基础上
实现最大化支撑并网点电压、降低电网不平衡度等多目标控制。然后
建立考虑控制特性的新能源数字孪生模型
并基于数字孪生模型实现新能源场站间多目标协调控制技术
有效减少协调控制对于实时通信的依赖
并提高协调控制的响应速度。最后
基于电力系统实时仿真平台RTDS/RSCAD
搭建基于数字孪生的协调控制测试平台
并检验该方法的有效性。
When asymmetric voltage drops occur in the power grid
inverter type new energy stations (NES) may face a series of risks such as voltage drops and current exceeding limits
which can lead to serious consequences such as station disconnection from the grid. The main drawback of traditional coordination control methods among new energy stations is that the control objective is single and heavily relies on real-time communication. In response to the above issues
this article proposes a multi-objective voltage support coordination control strategy among new energy stations based on digital twins. Firstly
carry out multi-objective coordinated control technology among new energy stations
considering the safety of inverter operation
to achieve multi-objective control such as maximizing support for grid voltage and reducing grid imbalance. Then
a new energy digital twin model considering control characteristics is established
and multi-objective coordinated control technology among new energy stations is implemented based on the digital twin model
effectively reducing the dependence of coordinated control on real-time communication and improving the response speed of coordinated control. Finally
based on the real-time simulation platform RTDS/RSCAD for power systems
a coordinated control testing platform based on digital twins is built
and the effectiveness of the method is verified.
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