Economic Load Dispatch Incorporating Wind Power Using Hybrid Biogeography-Based Optimization
| Autor: | Bikram Saha, Barun Mandal, Provas Kumar Roy |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
Mathematical optimization Control and Optimization Wind power Computer science business.industry Biogeography-based optimization Computer Science Applications Computational Mathematics Computational Theory and Mathematics Modeling and Simulation Economic load dispatch Salp swarm algorithm Decision Sciences (miscellaneous) business |
| Zdroj: | International Journal of Applied Metaheuristic Computing. 12:54-80 |
| ISSN: | 1947-8291 1947-8283 |
| DOI: | 10.4018/ijamc.2021070103 |
| Popis: | This article represents salp swarm algorithm (SSA) for the most favourable operating solution of economic load dispatch (ELD). For making the convergence first along with SSA, another optimization algorithm (i.e., BBO [biogeography;based optimization]) is also used. For lowering the operational cost, wind power is employed with thermal units. SSA is inspired by swarming behaviour of salp, which belongs to salpiside family. Salp possess a special kind of swarm while hunting for food and navigating. The recommended algorithm is executed on two systems of SIX units and 40 units. In both of the cases, load dispatch problem is carried out with renewable sources and also without renewable sources. Individually, BBO, SSA, and hybrid BBO-SSA are applied to all the test systems to justify effectiveness of hybrid BBO-SSA. Obtained results assure the prospective and advantages of recommended algorithm in contrast to algorithms mentioned in the article. Results come out to be very satisfying and reveal that hybrid BBO-SSA is a powerful algorithm to solve ELD problems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|