Layanan journal yang disediakan oleh Perpustakaan Universitas Gunadarma
| Judul Artikel | : | A Novel Effective Meta-Heuristic Algorithm for BI-Objective Dispatch of Power Systems |
|---|---|---|
| Judul Terbitan | : | INTERNATIONAL DAN ELECTRICAL ENGINEERING AND INFORMATICS |
| ISSN | : | 2085-6830 |
| Bahasa | : | IND |
| Tempat Terbit | : | BANDUNG |
| Tahun | : | 0000 |
| Volume | : | Vol. 10 Issue 2 0000 |
| Penerbit | : | INSTITUT TEKHNOLOGI BANDUNG |
| Frekuensi Penerbitan | : | 1 x 1 tahun |
| Penulis | : | Thang Trung Nguyen I,Hai Van Trarr |
| Abstraksi | : | This paper proposes an Adaptive Selective Cuckoo Search Algorithm (ASCSA) for solving bi-objective short-term hydrothermal scheduling (BOSTHTS). The major purpose of the BOSTHTS problem is to reduce electric generation fuel cost and polluted emission from all considered thermal generating units over a scheduled intervals. In addition, the problem also takes all constraints of hydrothermal power systems such as real power demand ofload, limitations of generations and limitations of reservoirs into account. The proposed method is constructed by tackling all drawbacks of classical Cuckoo Search algorithm (CCSA) so as to shorten number of iterations and fast converge to good solutions. The proposed method together with CCSA and another modified version of CCSA (MCSA) are implemented for two different systems with different types of fuel cost form and emission form and results from these methods are also compared to other existing methods. Objective comparisons and computation time comparisons indicate that the proposed method is superior to CCSA, MCSA and other compared methods. As a result, the proposed method is considered to be a strong optimization method for the considered BOSTHTS problem. |
| Kata Kunci | : | Adaptive selective random walk; new selection technique; multiobjective; hydrothermal power system; fitness function |
| Lokasi | : | P406 |
| Terakreditasi | : | belum |