Recurrent network based power flow solution for voltage stability assessment and improvement with distributed energy sources

2021 ◽  
Vol 302 ◽  
pp. 117524
Author(s):  
Veerapandiyan Veerasamy ◽  
Noor Izzri Abdul Wahab ◽  
Rajeswari Ramachandran ◽  
Mohammad Lutfi Othman ◽  
Hashim Hizam ◽  
...  
2020 ◽  
Vol 39 (1) ◽  
pp. 228-237
Author(s):  
I.B. Anichebe ◽  
A.O. Ekwue

Frequent blackouts and unstable supply of electricity show that the  voltage instability problem has been one of the major challenges facing the power system network in Nigeria. This study investigates the voltage stability analysis of the Nigerian power network in the presence of renewable energy sources; FACTS device is used as a voltage controller. A 330kV, 28-bus power system network was studied using the PSS/E software-based Newton-Raphson load-flow technique. The results show that 10 out of the 28 buses had voltages lying below the statutory limit of 0.95 ≤ 1.05 p.u. The application of STATCOM and DFIG devices on two of the weakest buses restored the voltages to acceptable statutory limits. The total active and reactive power losses were reduced to 18.76% and 18.82% respectively. Keywords: Voltage stability analysis; Integration of renewable energy sources; FACTS controllers, Reactive Power, Power Flow.


2021 ◽  
Author(s):  
Danilo Yu

This project introduces a modeling software that manages the power flow of a grid-connected distributed energy system on a daily basis. The system uses a control strategy that prioritizes the use of renewable energy sources over storage devices and conventional sources. Wind turbines and PV arrays are the primary sources of energy. Battery bank is used as the permanent storage device and small natural gas generators and the grid are the conventional sources. The software can manage the power flow of electric vehicles as mobile storage units. The power optimization algorithm monitors the power available from each energy source, analyzes and combines their outputs to meet the load demand. Output of the energy sources are analyzed using 15-minute time series simulations. The computer model was developed using MATLAB with a graphical user interface for easy setup, operation and analysis of the results.


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