Modeling and Simulation of Renewable Generation System: Tunisia Grid Connected PV System Case Study

Mansouri, Nouha; Bouchoucha, Chokri; Cherif, Adnane

doi:10.1007/978-3-030-22964-1_36

Cited by 1 publication

(1 citation statement)

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“…The final results showed that the Egyptian grid can be maintained stable for PV generations up to 3000 MW. In [12], the study focused on the Tunisia grid and the static and dynamic power stability. The network included PV and wind sources that can be integrated into the grid without system fluctuation.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Voltage Stability of Distribution Systems in the Presence of High Penetration of Photovoltaic Plants Using PSS/E Software

Sadek

Hassan

Fahmy

et al. 2021

JERA

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The intermittent nature of photovoltaic (PV) generation causes the voltage to fluctuate and may lead to instability, especially, in case of high penetration. In this paper, a methodology is proposed to control the reactive power generation of PV-inverters. The objective is to mitigate the voltage fluctuations at the point of common coupling (PCC) resulted from increasing or decreasing the active power output of PV plants which is dependent on solar radiation level. The generic PV-inverter models developed and recommended by the Renewable Energy Modeling Task Force (REMTF) of the Western Electricity Coordinating Council (WECC) is used to analyze the effect of high PV penetration on the dynamic voltage stability of distribution networks. Then, the tested distribution network with the embedded PV plants is modeled and simulated using PSS/E software. Levels of control that are built-in PV-inverters are tested in the case of normal operation and during disturbances. Comparison results show that the most suitable control methodology in case of disturbances and after fault clearance is the local voltage control. While the plant voltage control with coordinated V/Q control is the most preferable control methodology during normal operation.

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Section: Introductionmentioning

confidence: 99%