并网虚拟同步发电机的小扰动稳定性分析和控制参数优化

IF 2.6 4区工程技术 Q3 ENERGY & FUELS

Frontiers in Energy Research Pub Date : 2024-08-01 DOI:10.3389/fenrg.2024.1428748

Xianshan Sun, Jinming Cai, Dongsheng Wang, Jinwei Lin, Kai Li

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引用次数: 0

摘要

虚拟同步发电机（VSG）已被广泛用于改善可再生能源发电系统的系统惯性和阻尼。然而，人们对 VSG 在不同控制参数扰动下的稳定性缺乏深入了解。为了解决这一问题，首先建立了单 VSG 的小信号模型。利用特征值分析方法详细分析了关键控制参数对系统稳定性的影响。在此基础上，提出了基于粒子群优化（PSO）算法的新型控制参数优化策略。通过优化控制参数，实现了 VSG 系统出色的阻尼和稳定性。最后，仿真和实验结果验证了稳定性分析和参数优化策略的有效性。

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Small-disturbance stability analysis and control-parameter optimization of grid-connected virtual synchronous generator

The virtual synchronous generator (VSG) has been widely used to improve the system inertia and damping in the renewable energy generation system. However, the in-depth understanding of VSG’s stability under disturbances on different control parameters is lacked. In order to solve the problem, the small-signal model of single-VSG is established at first. The influences of key control parameters on the stability of system are analyzed by using the eigenvalue analysis method in detail. On this basis, a novel optimization strategy for control parameters is proposed based on the Particle Swarm Optimization (PSO) algorithm. The control parameters are optimized to realize excellent damping and stability of VSG system. Finally, the simulation and experimental results verify the effectiveness of stability analysis and parameter optimization strategy.

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来源期刊

Frontiers in Energy Research Economics, Econometrics and Finance-Economics and Econometrics

CiteScore

3.90

自引率

11.80%

发文量

1727

审稿时长

12 weeks

期刊介绍： Frontiers in Energy Research makes use of the unique Frontiers platform for open-access publishing and research networking for scientists, which provides an equal opportunity to seek, share and create knowledge. The mission of Frontiers is to place publishing back in the hands of working scientists and to promote an interactive, fair, and efficient review process. Articles are peer-reviewed according to the Frontiers review guidelines, which evaluate manuscripts on objective editorial criteria