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

Abstract

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.

A review on basic theory and technology of agricultural energy internet

“…Guillermo et al embedded the IPLAN language in the BKDY module of PSS/E and uses this module and transient stability module to calculate the short circuit current of the metro power system [61]. Sadek et al used PSS/E software to model and simulate the test distribution network with an embedded PV power station and test the control level of the built-in PV inverter during regular operation and interference [62]. The comparison results show that the most suitable control method is local voltage control in the case of interference and after fault clearing.…”

“…Sadek et al. used PSS/E software to model and simulate the test distribution network with an embedded PV power station and test the control level of the built‐in PV inverter during regular operation and interference [62]. The comparison results show that the most suitable control method is local voltage control in the case of interference and after fault clearing.…”

Prediction method of output power of new energy distribution network based on improved BP neural network

“…In view of this, the power generation prediction method of photovoltaic distribution network lines based on LM-BP neural network algorithm has attracted more attention. This method aims at the problem of single research object of distributed photovoltaic power generation power prediction, takes distributed photovoltaic power stations under the same distribution line as the specific research object, and takes temperature, cloud cover, wind speed Humidity and irradiance are taken as specific eigenvalues [8][9] , and LM-BP neural network algorithm is used to predict the daily power generation, and the goal of controlling the overall error within 6.0% is achieved. In addition, the method of power prediction for distributed photovoltaic integration into the distribution grid based on big data is also a commonly used approach.…”