Đăng nhập
Tìm kiếm nâng cao
Tên bài báo
Tác giả
Năm xuất bản
Tóm tắt
Lĩnh vực
Phân loại
Số tạp chí

Bản tin định kỳ
Báo cáo thường niên
Tạp chí khoa học ĐHCT
Tạp chí tiếng anh ĐHCT
Tạp chí trong nước
Tạp chí quốc tế
Kỷ yếu HN trong nước
Kỷ yếu HN quốc tế
Book chapter
Tạp chí quốc tế 2018
Số tạp chí 12(2018) Trang: 84-117

The secure operation of power systems is always the first aid in the power system operation. However, an economic operation of power systems in both the normal and contingency cases is always a goal to achieve for electric power system operators. This paper is dealing with the multi-objective security-constrained optimal active and reactive power dispatch (MO-SCOARPD) problem in power systems considering different objectives such as fuel cost, power losses, stability index, and voltage deviation with the worst scenarios of contingency analysis for transmission line outage to determine the best states for operation. The MO-SCOARPD is a very complex and large-scale problem due to handling many control variables in both normal and contingency cases. In this paper, a hybrid particle swarm optimization and differential evolution (HPSO-DE) has been implemented for solving the problem. The proposed HPSO-DE is a hybrid method to utilize the advantages of both PSO and DE methods for solving the complex and largescale optimization problems. Consequently, the new hybrid method is more effective than the DE and PSO in obtaining the optimal solution for the optimization problems. The effectiveness of the proposed HPSO-DE has been verified on the IEEE 30 bus system for different objectives and various scenarios of line outages. The obtained results have indicated that the proposed HPSO-DE method can find better solution quality than both DE and PSO methods for all cases. Therefore, the proposed HPSO-DE can be a very favorable and promising method for dealing with the complex and large-scale optimization problem in power systems such as the MO-SCOARPD problem.

Các bài báo khác
Số tạp chí DEPISA Monograpth 5(2018) Trang: 41-57
Tạp chí: Supporting Professional Learning in Sourheast Asian Universiy through DEPISA
Số tạp chí 2018(2018) Trang: 1-18
Tạp chí: Process Integration and Optimization for Sustainability
Số tạp chí 8 (1&2), July(2018) Trang: 146-156
Tạp chí: International Journal of Education and Psychology in the Community
Số tạp chí 63(2018) Trang: 143-148
Tạp chí: Journal of the Faculty of Agriculture, Kyushu University
Số tạp chí 9(2018) Trang: 47-54
Tạp chí: Journal of Social and Development Sciences
Số tạp chí 18(2018) Trang: 2050-2059
Tạp chí: IEEE Sensors Journal
Số tạp chí 4(11)(2018) Trang: 2311-2316
Tạp chí: Journal of Multidisciplinary Engineering Science Studies
Số tạp chí 5(2018) Trang: 80-84
Tác giả: Nguyễn Ánh Minh
Số tạp chí Volume 30 (8),(2018) Trang: Article 143
Tạp chí: Livestock Research for Rural Development
Số tạp chí Volume 8, Issue 3(2018) Trang: 20-26
Tạp chí: International Journal of Scientific and Research Publications
Số tạp chí 77(21)(2018) Trang: 28777-28797
Tạp chí: International Journal of Multimedia Tools and Applications
Số tạp chí 8(2018) Trang: pp 4571–4578 |

Vietnamese | English

Vui lòng chờ...