Open AccessMemetic Salp Swarm Algorithm-Based Frequency Regulation for Power System with Renewable Energy Integration
Author(s) -
Fang Zeng,
Hongchun Shu
Publication year - 2020
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2020/6661793
Subject(s) - renewable energy , memetic algorithm , electric power system , grid , mathematical optimization , frequency regulation , computer science , engineering , power (physics) , algorithm , electrical engineering , local search (optimization) , mathematics , physics , geometry , quantum mechanics
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.