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Adaptive Time Constant Control Strategy for Micro-Grid Based on Improved Droop Control

机译:基于改进的下垂控制的微电网自适应时间常数控制策略

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For inverter control, droop control is an effective control scheme, but this scheme does not have the inertia and damping of the synchronous generator, resulting in insufficient frequency stability. In response to this problem, some scholars have proposed a virtual synchronous generator (VSG) control method to simulate the operating characteristics of traditional synchronous generators. In order to analyze the advantages and disadvantages of the two control strategies, this paper first established a small signal model of the inverter based on droop control and VSG control. The dynamic response of the time is compared. We can conclude that the droop control and the VSG control have their own advantages and disadvantages, and cannot meet the strict dynamic characteristics of the GC and SA states. Then, based on the comparison between the virtual synchronous generator and the droop control, the traditional droop control is improved. On this basis, an adaptive control is proposed to improve the response characteristics of the output frequency and active power when the power command changes in the grid-connected mode. In the GC state, the IDC-based adaptive control method can improve the output tracking of the input active power, reduce frequency fluctuations, and ensure frequency stability when the power reference value changes. In the SA state, the IDC-based adaptive control method can provide sufficient inertial characteristics. Finally, the simulation results verify the effectiveness of the proposed control strategy.
机译:对于逆变器控制,下垂控制是一种有效的控制方案,但是该方案没有同步发电机的惯性和阻尼,从而导致频率稳定性不足。针对这一问题,一些学者提出了一种虚拟同步发电机(VSG)控制方法,以模拟传统同步发电机的运行特性。为了分析两种控制策略的优缺点,本文首先建立了基于下垂控制和VSG控制的逆变器小信号模型。比较时间的动态响应。我们可以得出结论,下垂控制和VSG控制各有优缺点,不能满足GC和SA状态的严格动态特性。然后,基于虚拟同步发电机与下垂控制的比较,对传统的下垂控制进行了改进。在此基础上,提出了一种自适应控制方法,以在功率指令在并网模式下发生变化时改善输出频率和有功功率的响应特性。在GC状态下,基于IDC的自适应控制方法可以改善输入有功功率的输出跟踪,减少频率波动,并在功率参考值发生变化时确保频率稳定性。在SA状态下,基于IDC的自适应控制方法可以提供足够的惯性特性。最后,仿真结果验证了所提出控制策略的有效性。

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