Analysis of Optimal Power Flow using Hybrid Fruitfly Algorithm
Main Article Content
Abstract
In this paper, hybrid fruit fly algorithm is
proposed to find the optimal solution for optimal power flow (OPF)
problem in a power system. The proposed approach is applied to
determine the optimal settings of control variables of the OPF
problem. The performance of the proposed approach examined and
tested on the himmelblau test function and 30-bus test systems with
different objective functions and is compared to other heuristic
methods reported in the literature recently. Simulation results
obtained from the proposed approach indicates that HFFA provides
effective and robust high-quality solution for the OPF problem.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
