- Tytuł:
- Loadability maximisation in bilateral network for real-time forecasting system using cuckoo search algorithm
- Autorzy:
-
Venkatasivanagaraju, S.
Rao, M. Venkateswara - Powiązania:
- https://bibliotekanauki.pl/articles/38699704.pdf
- Data publikacji:
- 2023
- Wydawca:
- Instytut Podstawowych Problemów Techniki PAN
- Tematy:
-
optimal power flow
NR method
short-term load forecasting
long-term load forecasting
cuckoo search algorithm
optimisation
loss minimisation
optymalny przepływ mocy
metoda NR
krótkoterminowe prognozowanie obciążeń
długoterminowe prognozowanie obciążeń
algorytm kukułki
optymalizacja
minimalizacja strat - Opis:
- This manuscript proposes an optimal power flow (OPF) solution in a coordinated bilateralpower network. The primary goal of this project is to maximise the benefits of the powermarket using Newton–Raphson (NR) and cuckoo search algorithm CSA methodologies.The global solution is found using a CSA-based optimisation approach. The study isconducted on real-time bus system. To avoid this, creative techniques have lately beenused to handle the OPF problem, such as loadability maximisation for real-time predictionsystems employing the CSA. In this work, cuckoo search (CS) is used to optimise theobtained parameters that help to minimise parameters in the predecessor and consequentunits of each sub-model. The proposed approach is used to estimate the power load in thelocal area. The constructed models show excellent predicting performance based on derivedperformance. The results confirm the method’s validity. The outcomes are compared withthose obtained by using the NR method. CSA outperformed the other methods in thisinvestigation and gave more accurate predictions. The OPF problem is solved via CSAin this study. Implementing a real-time data case bus system is recommended to test theperformance of the established method in the MATLAB programme.
- Źródło:
-
Computer Assisted Methods in Engineering and Science; 2023, 30, 1; 73-88
2299-3649 - Pojawia się w:
- Computer Assisted Methods in Engineering and Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł