Techno-economic based static and dynamic transmission network expansion planning using improved binary bat algorithm
| Autor: | M. T. Mouwafi, Adel A. Abou El-Ela, Ragab A. El-Sehiemy, Waleed K. Al-Zahar |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Mathematical optimization
Adaptive neuro fuzzy inference system Adaptive neuro-fuzzy inference system Total cost Computer science Reactive power compensation General Engineering AC power Engineering (General). Civil engineering (General) Transfer function Improved binary bat algorithm Compensation (engineering) Long-term load forecasting Reduction (complexity) Transmission network expansion planning Robustness (computer science) TA1-2040 Energy (signal processing) |
| Zdroj: | Alexandria Engineering Journal, Vol 61, Iss 2, Pp 1383-1401 (2022) |
| ISSN: | 1110-0168 |
| Popis: | This paper proposes an improved binary bat algorithm (IBBA) for solving static and dynamic transmission network expansion planning (TNEP) problems for standard and realistic networks considering different objective functions (OFs). The proposed IBBA has two modifications to enhance the solution quality based on multi V-shaped transfer function and adaptive search space (ASS). The IBBA is applied to solve the static TNEP problem. A two-stage procedure is employed to solve the dynamic TNEP problem. In stage-1, the adaptive neuro-fuzzy inference system (ANFIS) is utilized to find the long-term load forecasting (LTLF) up to 2039. In stage-2, the IBBA is used to solve the dynamic TNEP problem. Two OFs are considered for solving TNEP problems. The first OF achieves the investment cost reduction. The second OF aims to minimize the total costs, which include the investment cost and the total costs of energy losses and reactive power compensation (RPC). The proposed procedure is applied to Garver’s 6-bus system and the West Delta Network (WDN) as a part of the Unified Egyptian Transmission Network (UETN) to solve TNEP problems. The obtained results are compared with other methods to show the robustness of the proposed procedure for solving TNEP problems. |
| Databáze: | OpenAIRE |
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