Automatic Generation Control of Multi-area Multi-source Deregulated Power System Using Moth Flame Optimization Algorithm
- Title
- Automatic Generation Control of Multi-area Multi-source Deregulated Power System Using Moth Flame Optimization Algorithm
- Creator
- Acharyulu B.V.S.; Gorripotu T.S.; Azar A.T.; Mohanty B.; Pilla R.; Kumar S.; Serrano F.E.; Kamal N.A.
- Description
- In this paper, a novel nature motivated optimization technique known as moth flame optimization (MFO) technique is proposed for a multi-area interrelated power system with a deregulated state with multi-sources of generation. A three-area interrelated system with multi-sources in which the first area consists of the thermal and solar thermal unit; the second area consists of hydro and thermal units. The third area consists of gas and thermal units with AC/DC link. System performances with various power system transactions under deregulation are studied. The dynamic system executions are compared with diverse techniques like particle swarm optimization (PSO) and differential evolution (DE) technique under poolco transaction with/without AC/DC link. It is found that the MFO tuned proportional-integral-derivative (PID) controller superior to other methods considered. Further, the system is also studied with the addition of physical constraints. The present analysis reveals that the proposed technique appears to be a potential optimization algorithm for AGC study under a deregulation environment. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Source
- Lecture Notes in Networks and Systems, Vol-204, pp. 717-729.
- Date
- 2021-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Automatic generation control (AGC); Disco participation matrix (DPM); Generation rate constraint (GRC); Moth flame optimization (MFO); Proportional-integral-derivative controller (PID)
- Coverage
- Acharyulu B.V.S., Department of Electrical and Electronics Engineering, Lendi Institute of Technology and Management, Srikakulam, Andhra Pradesh, 532402, India; Gorripotu T.S., Department of Electrical and Electronics Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, 532402, India; Azar A.T., College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia, Faculty of Computers and Artificial Intelligence, Benha University, Banha, Egypt; Mohanty B., Department of Electrical Engineering, Veer Surendra Sai University of Technology, Burla, Odisha, 768018, India; Pilla R., Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam, Srikakulam, Andhra Pradesh, 532127, India; Kumar S., CHRIST (Deemed to be University), Bangalore, Karnataka, 560074, India; Serrano F.E., Universidad Tecnologica Centroamericana (UNITEC), Tegucigalpa, Honduras; Kamal N.A., Faculty of Engineering, Cairo University, Giza, Egypt
- Rights
- Restricted Access
- Relation
- ISSN: 23673370; ISBN: 978-981161088-2
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Acharyulu B.V.S.; Gorripotu T.S.; Azar A.T.; Mohanty B.; Pilla R.; Kumar S.; Serrano F.E.; Kamal N.A., “Automatic Generation Control of Multi-area Multi-source Deregulated Power System Using Moth Flame Optimization Algorithm,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/20604.