项颂, 苏鹏, 吴坚, 刘鑫, 马继涛. 基于多源储能协同的交直流送端系统惯量优化控制模型[J]. 中国电力, 2023, 56(4): 68-76. DOI: 10.11930/j.issn.1004-9649.202205065
引用本文: 项颂, 苏鹏, 吴坚, 刘鑫, 马继涛. 基于多源储能协同的交直流送端系统惯量优化控制模型[J]. 中国电力, 2023, 56(4): 68-76. DOI: 10.11930/j.issn.1004-9649.202205065
XIANG Song, SU Peng, WU Jian, LIU Xin, MA Jitao. Inertia Optimization Control Model of AC/DC Sending-End System Based on Multi-source Energy Storage Coordination[J]. Electric Power, 2023, 56(4): 68-76. DOI: 10.11930/j.issn.1004-9649.202205065
Citation: XIANG Song, SU Peng, WU Jian, LIU Xin, MA Jitao. Inertia Optimization Control Model of AC/DC Sending-End System Based on Multi-source Energy Storage Coordination[J]. Electric Power, 2023, 56(4): 68-76. DOI: 10.11930/j.issn.1004-9649.202205065

基于多源储能协同的交直流送端系统惯量优化控制模型

Inertia Optimization Control Model of AC/DC Sending-End System Based on Multi-source Energy Storage Coordination

  • 摘要: 针对高比例新能源接入下的交直流送端系统惯性水平较低的问题,提出基于多源储能协同的交直流送端系统惯量优化控制方法。首先,考虑大规模新能源接入后会影响送端系统的能量平衡关系,建立含高比例风电的交直流送端系统潮流方程。其次,考虑弱送端系统惯量支撑不足的问题,提出一种电、热、气能源转换与存储设备的多源储能系统,分析多源储能协同下的系统惯量支撑特性。在此基础上,考虑送端系统频率稳定,提出基于多源储能协同的交直流送端系统惯量优化控制模型。最后,以北方某区域交直流送端系统为仿真算例,验证了所提模型的有效性。本文所提模型可为含大规模新能源的交直流系统的惯量稳定控制提供理论依据,实现交直流送端系统的安全稳定运行。

     

    Abstract: To address the low inertia level of AC/DC sending-end systems with high-proportion new energy access, this paper proposes an optimal control method for the inertia of such systems based on multi-source energy storage coordination. First, considering that large-scale new energy access will affect the energy balance of sending-end systems, the paper establishes a power flow equation for AC/DC sending-end systems with a high proportion of wind power. Second, in response to the insufficient inertia support of weak sending-end systems, it puts forward a multi-source energy storage system with electricity, heat, and gas energy conversion and storage equipment and analyzes the system inertia support characteristics under the coordination of multi-source energy storage. On this basis, considering the frequency stability of sending-end systems, an inertia optimization control model is built for AC/DC sending-end systems based on multi-source energy storage coordination. Finally, an AC/DC sending-end system in an area in northern China is used as a simulation example to verify the effectiveness of the proposed model. The model can provide a theoretical basis for the inertia stability control of AC/DC hybrid systems containing large-scale new energy and realize the safe and stable operation of AC/DC sending-end systems.

     

/

返回文章
返回