Application of Sunflower Optimization Algorithm for Solving the Security Constrained Optimal Power Flow Problem

Authors

  • T. L. Duong Faculty of Electrical Engineering Technology, Industrial University of Ho Chi Minh City, Vietnam
  • T. T. Nguyen Faculty of Electrical Engineering Technology, Industrial University of Ho Chi Minh City, Vietnam

Abstract

Finding the Optimal Power Flow (OPF) which minimizes total generator cost is the answer to one of the most important problems in the electricity market operation. Independent System Operators (ISO) face many challenges while operating the system in order to obtain economic benefits and security. The solution to this problem is known as Security Constrained Optimal Power Flow (SCOPF). SCOPF is a very large-scale and nonlinear optimization problem with many complex constraints. This paper proposes the Sunflower Optimization (SFO) algorithm for solving the SCOPF problem. The proposed method is tested on the IEEE 30-bus and the IEEE 118-bus systems for both normal and outage cases. The result comparison with other known methods showed that the proposed SFO algorithm is an effective method for solving the SCOPF problem in the electricity market.

Keywords:

SFO, SCOPF, OPF, ISO, electricity market

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How to Cite

[1]
T. L. Duong and T. T. Nguyen, “Application of Sunflower Optimization Algorithm for Solving the Security Constrained Optimal Power Flow Problem”, Eng. Technol. Appl. Sci. Res., vol. 10, no. 3, pp. 5700–5705, Jun. 2020.

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