Loadability maximisation in bilateral network for real-time forecasting system using cuckoo search algorithm

• Autorzy: Venkatasivanagaraju S. , Rao M. Venkateswara

Identyfikatory

DOI

10.24423/cames.475

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

optimal power flow; NR method; short-term load forecasting; long-term load forecasting; cuckoo search algorithm; optimisation; loss minimisation

PL

optymalny przepływ mocy; metoda NR; krótkoterminowe prognozowanie obciążeń; długoterminowe prognozowanie obciążeń; algorytm kukułki; optymalizacja; minimalizacja strat

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2023
• Tom: Vol. 30, no. 1
• Strony: 73--88
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Venkatasivanagaraju S.

• Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, India

autor

Rao M. Venkateswara

• Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, India

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).