In practice, the conductor resistance of elements in power systems is not a constant but depends on the temperature. The conventional power flow problem considering the conductor resistance as a constant may lead to not exact results, especially for the power losses. In this paper, a combined particle swarm optimization and differential evolution (CPSO-DE) method is proposed to solve the temperature dependent optimal power flow (TDOPF) problem in power systems. The considered TDOPF problem is a very large scale and complex problem in power systems due to the consideration of the effect of temperature on the resistance of transmission lines in the conventional OPF problem. On the other hand, the proposed CPSO-DE is a powerful method suitable for solving OPF problems by utilizing the advantages of both PSO and DE algorithms to find the optimal solution. For implementing the proposed method to the TDOPF problem, the PSO algorithm with constriction factor guided by a pseudo-gradient method is first used to explore the global search space of the problem and then the DE algorithm is used to exploit the local search space of the problem to guarantee that the near optimal solution can be found. To validate the effectiveness of the proposed method for the considered problem, the IEEE 30-bus and IEEE 118-bus systems have been used for testing and the results obtained from the proposed method have been compared to those from other methods for the both conventional OPF and TDOPF problems. The test results have indicated that the proposed method can effectively solve these problems compared to other methods for the considered cases. Therefore, the proposed CPSO-DE method is a very effective method for solving the large-scale and complex TDOPF problem in power systems.
Tạp chí khoa học Trường Đại học Cần Thơ
Lầu 4, Nhà Điều Hành, Khu II, đường 3/2, P. Xuân Khánh, Q. Ninh Kiều, TP. Cần Thơ
Điện thoại: (0292) 3 872 157; Email: tapchidhct@ctu.edu.vn
Chương trình chạy tốt nhất trên trình duyệt IE 9+ & FF 16+, độ phân giải màn hình 1024x768 trở lên