程维杰, 张仕鹏, 任学哲. 大容量储能对电力系统小干扰稳定的影响[J]. 电力科学与工程, 2021, 37(9): 35-43.
引用本文: 程维杰, 张仕鹏, 任学哲. 大容量储能对电力系统小干扰稳定的影响[J]. 电力科学与工程, 2021, 37(9): 35-43.
CHENG Weijie, ZHANG Shipeng, REN Xuezhe. Research on the Impact of Large Capacity BESS on Small Signal Stability of Power System[J]. Electric Power Science and Engineering, 2021, 37(9): 35-43.
Citation: CHENG Weijie, ZHANG Shipeng, REN Xuezhe. Research on the Impact of Large Capacity BESS on Small Signal Stability of Power System[J]. Electric Power Science and Engineering, 2021, 37(9): 35-43.

大容量储能对电力系统小干扰稳定的影响

Research on the Impact of Large Capacity BESS on Small Signal Stability of Power System

  • 摘要: 随着新能源装机规模的日益扩大,为实现电网运行中的灵活调节,未来电网对储能的需求也日益增加。储能并网容量的增加对电力系统运行特性的影响显著,尤其对系统小干扰稳定性的影响值得关注。首先,分析了储能数学模型,建立含大容量储能的电力系统模型;以三机九节点系统为例,采用特征值分析法研究了系统潮流改变、潮流不变两种情况下不同储能并网容量对系统小干扰稳定性的影响。结果表明:系统潮流改变和潮流不变情况下,储能渗透率增加对系统小干扰稳定性的影响存在明显差异。整体来看,储能参与系统运行方式协调控制更有利于系统小干扰稳定。此外,通过特征值分析,验证了虚拟惯量控制可一定程度上阻尼系统振荡,改善系统小干扰稳定性。

     

    Abstract: With the increasing scale of new energy installed, the demand of power grid for energy storage is also greatly increased in the future to realize the flexible adjustment of power grid operation. The increase of grid connected battery energy storage system(BESS) capacity has a significant impact on the operation characteristics of power system, especially on the small signal stability. In this paper, firstly, the mathematical model of BESS was analyzed to establish the power system model with large capacity BESS. Taking the three-generator and nine-bus system as an example, the eigenvalue analysis method was used to study the influence of different grid connected capacity of BESS on the small signal stability of the system when the power flow is changed or unchanged. The results show that the influence of the increase of BESS permeability on the small signal stability of the system is obviously different when the power flow is changed or unchanged. On the whole, BESS participating in the coordinated control of system operation mode is more conducive to the small signal stability of the system. In addition,eigenvalue analysis verifies that the virtual inertia control can damp the system oscillation to a certain extent and improve the small signal stability of the system.

     

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