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

被引：0
|
作者：
Thanh Long Duong [1 ]
Thuan Thanh Nguyen [1 ]
机构：
[1] Ind Univ Ho Chi Minh City, Fac Elect Engn Technol, Ho Chi Minh City, Vietnam
来源：
ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH | 2020年 / 10卷 / 03期
关键词：
OPF; SCOPF; SFO; electricity market; ELECTRICITY MARKET; SYSTEM;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：5700 / 5705
页数：6
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