2018
DOI: 10.1080/22348972.2018.1477094
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Virtual synchronous generator model based control of PV for power system stability improvement in a large-scale power system with a massive integration of PVs

Abstract: In this paper, virtual synchronous generator (VSG) model based control of photovoltaic power generations (PVs) for power system stability improvement is proposed. Different from other studies on VSG, a large-scale power system is the main target of the proposed control. Therefore, digital simulations are conducted using the IEEJ WEST 10-machine System Model, which is a typical large-scale power system model in Japan. In this power system, the system stabilization effect of the control is verified. In addition,… Show more

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Cited by 6 publications
(3 citation statements)
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“…In this context, we previously explored how VSG model control providing PV plants with dynamic characteristics of synchronous generators improves stability of large-scale power systems. 9,10 In Ref. 9, we confirmed the stabilizing effect of VSG model control in a large-scale system with regard to subordinate systems at 275-kV nodes and lower.…”
Section: Introductionsupporting
confidence: 51%
“…In this context, we previously explored how VSG model control providing PV plants with dynamic characteristics of synchronous generators improves stability of large-scale power systems. 9,10 In Ref. 9, we confirmed the stabilizing effect of VSG model control in a large-scale system with regard to subordinate systems at 275-kV nodes and lower.…”
Section: Introductionsupporting
confidence: 51%
“…A VSG imitates the dynamic behavior of an actual synchronous generator [45]. The study in [46] proposed that to improve system stability, the inverter output is controlled using pulse width modulation with the frequency and voltage of an infinite bus as input signals.…”
Section: Offshore Platformmentioning
confidence: 99%
“…In this context, we previously explored how VSG model control providing PV plants with dynamic characteristics of synchronous generators improves stability of large‐scale power systems . In Ref.…”
Section: Introductionmentioning
confidence: 99%