Memetic Salp Swarm Algorithm-Based Frequency Regulation for Power System with Renewable Energy Integration
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
As the penetration of renewable energy to power grid increases gradually, to ensure the safety and stable operation of power system, it is necessary for renewable energy to participate in the secondary frequency regulation of power system.
Therefore, this paper proposes an optimal control model of renewable energy participating in the secondary frequency regulation to solve the dynamic power distribution problem.
Besides, memetic salp swarm algorithm (MSSA) is used to solve this complex nonlinear optimization problem, so as to quickly obtain high-quality power distribution schemes under different power perturbations and maximize the dynamic response regulation performance of the entire regional power grid.
Finally, based on the improved IEEE standard two-area model, the established model is verified and the performance of the applied algorithm is tested by comparing the traditional engineering allocation method and other intelligent optimization algorithms.
American Psychological Association (APA)
Zeng, Fang& Shu, Hongchun. 2020. Memetic Salp Swarm Algorithm-Based Frequency Regulation for Power System with Renewable Energy Integration. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1197073
Modern Language Association (MLA)
Zeng, Fang& Shu, Hongchun. Memetic Salp Swarm Algorithm-Based Frequency Regulation for Power System with Renewable Energy Integration. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1197073
American Medical Association (AMA)
Zeng, Fang& Shu, Hongchun. Memetic Salp Swarm Algorithm-Based Frequency Regulation for Power System with Renewable Energy Integration. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1197073
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197073