An Efficient Hybrid Method for Solving Security-Constrained Optimal Power Flow Problem
3 years ago
Authors:
Lê Thanh Tùng,Nguyễn Quốc Sỹ,Lê Minh Phương,Dương Long Thành,Võ Ngọc Điều
Publication date:
04 / 12 / 2020
Name of Publishers:
International Journal on Electrical Engineering and Informatics
Abstract:
The optimal operation for different states such as normal and contingency cases of a
power system has a very important role in the operation. Therefore, it is necessary to analyze
contingencies in the system so as the most severe cases should be considered for integrating into
the optimal power flow (OPF) problem and the security-constrained optimal power flow
(SCOPF) becomes an important problem for considering in the power system operation. This
paper proposes a combined pseudo-gradient based particle swarm optimization with constriction
factor (PGPSO) and the differential evolution (DE) method for solving the SCOPF problem. The
PGPSO-DE method is a newly developed method for utilizing the advantages of the pseudogradient guided PSO method with a constriction factor and the DE method. The proposed
PGPSO-DE has been tested on the IEEE 30 bus system for the normal case and the contingency
case with two types of the objective function. The results yielded from the proposed method have
been validated via comparing to those from the conventional PSO, DE, and other methods
reported in the literature. The comparisons for the results obtained from the proposed PGPSODE method have shown that it is very effective to solve the large-scale and complex SCOPF
problem.