Differential evolution algorithm for optimal reactive power dispatch |
| |
| Authors: | AA Abou El Ela MA Abido SR Spea |
| |
| Affiliation: | 1. Electrical Engineering Department, Faculty of Engineering, Menoufiya University, Egypt;2. Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Saudi Arabia;1. Department of Electronics and Electrical Engineering, Shiraz University of Technology, Shiraz, Iran;2. Islamic Azad University, Kazerun Branch, Kazerun, Iran;3. Department of Electrical Engineering, Semnan University, Semnan, Iran;1. Laboratory of Electrical and Industrial Systems, University of Science and Technology Houari Boumediene, El Alia 16111, Bab Ezzouar, Algiers, Algeria;2. Department of Electronic L.A.B.S.E.T., University of Saad Dahleb Road of Soumaa, Blida, Algeria;1. Department of Electronics and Electrical Engineering, Shiraz University of Technology, Shiraz, Iran;2. Islamic Azad University, Kazerun Branch, Kazerun, Iran;1. Department of Electronics and Electrical Engineering, Shiraz University of Technology, Shiraz, Iran;2. Department of Materials and Polymers Engineering, Hakim Sabzevari University, Sabzevar, Iran;1. Faculty of Engineering and Technology, Razi University, Eslam Abad Gharb, Kermanshah, Iran;2. Department of Electrical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran;3. Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, USA |
| |
| Abstract: | Reactive power dispatch (RPD) is one of the important tasks in the operation and control of power system. This paper presents an efficient and reliable evolutionary-based approach to solve the RPD problem. The proposed approach employs differential evolution (DE) algorithm for optimal settings of RPD control variables. The proposed approach is examined and tested on the standard IEEE 30-bus test system with different objectives that reflect power losses minimization, voltage profile improvement, and voltage stability enhancement. The simulation results of the proposed approach are compared to those reported in the literature. The results demonstrate the potential of the proposed approach and show its effectiveness and robustness to solve the RPD problem. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
