A Multi Objective Artificial Eco-System Based Optimization Technique Integrating Solar Photovoltaic System In Distribution Network
- Title
- A Multi Objective Artificial Eco-System Based Optimization Technique Integrating Solar Photovoltaic System In Distribution Network
- Creator
- Kamal Kumar U.; Janamala V.
- Description
- Agricultural sector contributes 6.4% of total economic generation across the world. Notably, the utilization of technology to improve the yield and economy is rapidly increasing. To provide continuous supply to the residential customers, the agricultural feeder grid-dependency has to be integrated with Solar Photo Voltaic (SPV) systems. In this paper, an Artificial Eco-System based Optimization (AEO) algorithm is proposed for simultaneously identifying the locations and quantifying the sizes of SPV systems. A practical distribution system feeder 'Racheruvu 11kV agricultural feeder' Andhra Pradesh, India is considered for simulation purpose and the performance is compared with the standard IEEE-33 radial distribution system. 2022 IEEE.
- Source
- International Conference on Trends in Electrical, Electronics, Computer Engineering, TEECCON 2022, pp. 128-134.
- Date
- 2022-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Agriculture Feeder; Artificial Eco-System based Optimization; Distribution system; Multi Objective Optimization Technique; Solar PV system
- Coverage
- Kamal Kumar U., Christ (Deemed to Be University), Dept. of Electrical and Electronics Engineering, Bangalore, 560 074, India; Janamala V., Christ (Deemed to Be University), Faculty of Engineering, Dept. of Electrical and Electronics Engineering, Bangalore, 560 074, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-166548366-7
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Kamal Kumar U.; Janamala V., “A Multi Objective Artificial Eco-System Based Optimization Technique Integrating Solar Photovoltaic System In Distribution Network,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/20276.