DC Transformer for Optimal Power Flow with Interior Point Algorithm

2018 ◽  
Author(s):  
K. Sebaa ◽  
O. Kahouli
Keyword(s):  
Interior Point ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Interior Point Algorithm ◽  
Optimal Power ◽  
Dc Transformer

scholarly journals Computational Impacts of SVCs on Optimal Power Flow using Approximated Active-Set Interior Point Algorithm

2021 ◽  
Author(s):  
Sayed Abdullah Sadat ◽  
Xinyang Rui ◽  
mostafa Sahraei-Ardakani
Keyword(s):  
Interior Point ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Optimization Problems ◽  
Interior Point Algorithm ◽  
Active Set ◽  
Computational Performance ◽  
Optimal Power ◽  
Power Dispatch

Interior point methods (IPMs) are popular and powerful methods for solving large-scale nonlinear and nonconvex optimization problems, such as AC optimal power flow (ACOPF). There are various ways to model ACOPF, depending on the objective and the physical components that need to be optimized. This paper models shunt flexible AC transmission systems (FACTS). Shunt FACTS devices such as static VAR compensators (SVCs) are sources for reactive power compensations and addressing voltage stability issues. The co-optimization of SVCs with power dispatch can impact the computational performance of ACOPF. In this paper, we evaluate the performance of different ACOPF formulations with approximated active-set interior point (AASIP) algorithm and co-optimization of SVC set points alongside other decision variables. Our numerical results suggest that both AASIP and SVCs alone improves the computation performance of almost all formulations. The gain in performance, however, depends on the sparsity of the formulation. The most spares formulation, such as branch power flow rectangular voltages (BPFRV), shows the highest gain in performance. In the event of co-optimizing SVCs with power dispatch using AASIP, the performance gain is minimal. Finally, the results are verified using various test cases ranging from 500-bus systems to 9591-bus systems.

scholarly journals Computational Impacts of SVCs on Optimal Power Flow using Approximated Active-Set Interior Point Algorithm

2021 ◽  
Author(s):  
Sayed Abdullah Sadat ◽  
Xinyang Rui ◽  
mostafa Sahraei-Ardakani
Keyword(s):  
Interior Point ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Optimization Problems ◽  
Interior Point Algorithm ◽  
Active Set ◽  
Computational Performance ◽  
Optimal Power ◽  
Power Dispatch

Interior point methods (IPMs) are popular and powerful methods for solving large-scale nonlinear and nonconvex optimization problems, such as AC optimal power flow (ACOPF). There are various ways to model ACOPF, depending on the objective and the physical components that need to be optimized. This paper models shunt flexible AC transmission systems (FACTS). Shunt FACTS devices such as static VAR compensators (SVCs) are sources for reactive power compensations and addressing voltage stability issues. The co-optimization of SVCs with power dispatch can impact the computational performance of ACOPF. In this paper, we evaluate the performance of different ACOPF formulations with approximated active-set interior point (AASIP) algorithm and co-optimization of SVC set points alongside other decision variables. Our numerical results suggest that both AASIP and SVCs alone improves the computation performance of almost all formulations. The gain in performance, however, depends on the sparsity of the formulation. The most spares formulation, such as branch power flow rectangular voltages (BPFRV), shows the highest gain in performance. In the event of co-optimizing SVCs with power dispatch using AASIP, the performance gain is minimal. Finally, the results are verified using various test cases ranging from 500-bus systems to 9591-bus systems.

Sign in / Sign up

Export Citation Format

Share Document