Abstract
In this paper, the coronavirus herd immunity optimizer (CHIO) was applied to solve the transmission line expansion planning (TEP) problem. CHIO was examined to solve AC and DC optimal power flow-based models, which are commonly used to formulate the TEP problem. Moreover, the impact of incorporating reactive power compensator allocation and TEP was extensively studied. A benchmark system (24 bus system) and two realistic Egyptian networks (500 kV and 66 kV networks) were used for the validation of the applied technique. The results demonstrated the superiority of the implemented technique compared to some meta-heuristic techniques reported in the literature. Therefore, CHIO is highly recommended for the TEP problem and expanse the methods toolbox. Integrating reactive sources with TEP further played an effective role in reducing the total investment cost and in enhancing system efficiency.
| Original language | English |
|---|---|
| Title of host publication | 22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 313-318 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665419987 |
| DOIs | |
| State | Published - 2021 |
| Externally published | Yes |
Publication series
| Name | 22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings |
|---|
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- AC and DC optimal power flow-based models
- Coronavirus herd immunity optimizer
- Reactive power compensator allocation
- Transmission line expansion planning
ASJC Scopus subject areas
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Safety, Risk, Reliability and Quality
- Control and Optimization
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