首页|期刊导航|电工技术学报|输入并联输出串联并网逆变器系统多重控制目标的下垂策略实现及稳定性优化研究

输入并联输出串联并网逆变器系统多重控制目标的下垂策略实现及稳定性优化研究OA

Droop Control to Achieve Multi-Objective and Stability Optimization for Input-Parallel Output-Series Grid-Connected Inverter System

中文摘要英文摘要

针对光伏阵列低压输出与中压配电网之间的电压匹配问题,采用输入并联输出串联(IPOS)型并网逆变系统可有效降低对高变比升压变压器的依赖.针对 IPOS 型并网逆变器系统的多重控制目标,该文在选取逆变器侧电感电流与电容电压作为控制变量的基础上,构建 iL1-vC下垂控制的无互联线控制策略,无需额外增加控制变量,仅通过优化控制结构,即可实现无互联线控制在内的四大控制目标协同优化.在进一步研究中,通过建立精确数学模型,揭示了下垂系数的双重作用:增大系数虽可提升功率均衡性能,但过大的下垂系数会引入右半平面极点,不利于系统稳定.为解决这一矛盾,提出基于虚拟电容的阻抗校正策略,通过调节正阻区域,优化系统稳定裕度,并通过严格推导建立下垂系数与虚拟电容参数的定量化设计准则.最后,在实验室搭建了一台两模块 IPOS 型并网逆变系统样机,实验结果表明:系统并网功率因数保持在 0.98 以上,模块间均压精度小于 1%,验证了所提策略在实现多重目标协同控制方面的有效性,体现了理论正确性与工程可行性.

To address the high-voltage difference between the low-voltage photovoltaic(PV)array and the mid-voltage distribution grid,an input-parallel output-series(IPOS)grid-connected inverter system is employed to reduce reliance on high-ratio step-up transformers.Unlike a single inverter,this modular system introduces multiple control objectives:LCL resonance damping,high-power-factor grid connection,inter-module power sharing,and wireless control.This paper selects the inverter-side inductor current and capacitor voltage as the control variables and proposes a wireless control strategy based on droop control.By optimizing the control structure without adding new control variables,this strategy simultaneously fulfills all four key control objectives.However,the theoretical and modeling analyses demonstrate that the droop coefficient presents a critical design trade-off.A simplified control-loop analysis validates that increasing this coefficient improves power-sharing accuracy in the IPOS configuration.In contrast,subsequent virtual-impedance modeling reveals that droop control inherently introduces an equivalent negative resistance,thereby progressively shrinking the system's positive-damping region.Consequently,beyond a specific critical value,an excessive droop coefficient inevitably introduces right-half-plane(RHP)poles,degrading system stability. Therefore,this paper proposes a virtual-capacitor-based impedance-reshaping method to optimize the system stability margin by adjusting the positive-damping region.The corresponding control block diagram and the equivalent virtual impedance structure incorporating the virtual capacitor control are illustrated in App.Fig.1.In the stability design,besides the positive-damping region,the influence of both the droop coefficient and the virtual capacitance on the system's actual resonant frequency is taken into account.A transcendental equation for the system is derived,and a three-dimensional graph of the boundaries of the positive-damping region and the actual resonant frequency is plotted.Following a parameter design procedure that prioritizes the droop coefficient before determining the virtual capacitance,key cross-sections of the 3D graph are analyzed.Then,a systematic parameter design guideline is established. Finally,a laboratory prototype of a two-module IPOS grid-connected inverter system was built.The results demonstrate that the constructed droop control strategy and virtual capacitor strategy enable the IPOS inverter system to achieve multi-objective coordinated optimization control.The contribution of this article lies in the following aspects.(1)Construct an interconnection-free droop control strategy by selecting the inverter-side inductor current and capacitor voltage as control variables.(2)Reveal the inherent conflict between power balance and system stability in the droop-controlled IPOS GCI system through mathematical modeling,and an excessively large droop coefficient inevitably leads to resonance instability.(3)Propose a virtual capacitor-based impedance reshaping method to maintain power balance and enhance system stability.

刘承易;方天治;金启源;刘昊;刘梦雨

南京航空航天大学自动化学院 南京 211106南京航空航天大学自动化学院 南京 211106南京航空航天大学自动化学院 南京 211106南京航空航天大学自动化学院 南京 211106南京航空航天大学自动化学院 南京 211106

信息技术与安全科学

并网逆变器系统输入并联输出串联下垂控制虚拟电容

Grid-connected inverter systeminput-parallel output-seriesdroop controlvirtual capacitor

《电工技术学报》 2026 (12)

4176-4188,13

国家自然科学基金(52077102)和江苏省自然科学基金(BK20201299)资助项目.

10.19595/j.cnki.1000-6753.tces.251175

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