| Autor: |
Mir, Jamaluddin, Kasim, Shahreen, Mahdin, Hairulnizam, Saedudin, Rd Rohmat, Hassan, Rohayanti, Ramlan, Rohaizan |
| Zdroj: |
Journal of Ambient Intelligence & Humanized Computing; Aug2023, Vol. 14 Issue 8, p10299-10320, 22p |
| Abstrakt: |
The economic development, rising global temperatures, urbanization, and rapid population increase are some prominent factors that have resulted in increased electricity demand worldwide. The burning of fossil fuels to meet the industrial electricity demand is leading to deleterious environmental effects. Economic load dispatch (ELD) is an optimization problem that determines an optimum way in terms of cost-effectiveness and emission minimization, for generating power by utilizing the electricity generation resources. Global climatic concerns are driving the researchers to spread the scope of ELD and include unconventional and renewable sources. This research work proposes a combination of three major renewable energy sources with thermal power sources (solar, wind and hydro). The proposed objective function includes a large number of major constraints related to each of the included sources which have not been combined before. The pattern search algorithm has been implemented on IEEE 40 unit test system combining wind, solar and hydro power generating units to observe the results. The results are also compared with the 140 unit Korean power generation model and in addition to several similar systems. Simulation results show that the problem formulation and inclusion of respective constraints bring authenticity to the system and produce accurate results. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
Full text from SpringerLink