Multi-Objective Mayfly Optimization-Based Frequency Regulation for Power Grid With Wind Energy Penetration

With the continuous development of society and under the background of sustainable development and resource conservation, the proportion of renewable energy in the global energy structure is increasing. At the same time, wind power has been widely used in many regions of the world because wind power...

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Veröffentlicht in:Frontiers in energy research Jg. 10
Hauptverfasser: Liu, Chao, Li, Qingquan, Tian, Xinshou, Wei, Linjun, Chi, Yongning, Li, Changgang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Frontiers Media S.A 14.02.2022
Schlagworte:
automatic generation control
frequency regulation
multi-objective mayfly algorithm
multi-source
wind energy
ISSN:2296-598X, 2296-598X
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Zusammenfassung:With the continuous development of society and under the background of sustainable development and resource conservation, the proportion of renewable energy in the global energy structure is increasing. At the same time, wind power has been widely used in many regions of the world because wind power technology is more advanced and mature than other renewable energy sources. In addition, with a large number of wind turbines connected to the grid, it not only helps automatic generation control (AGC) of power systems but also brings new challenges and difficulties. In this study, a multi-source cooperative control model of wind power participating in AGC frequency regulation is established to solve the dynamic problem of power distribution from real-time total power command to different AGC units. This study presents an optimal AGC-coordinated control method based on the multi-objective mayfly optimization (MMO) algorithm, which makes the fitting degree of power command output and actual output curve high and the adjustment mileage payment minimum, so as to achieve the best AGC performance. Finally, the simulation results show that this method can effectively decrease the total power deviation and adjustment mileage payment in the multi-source-coordinated control of AGC.
ISSN:2296-598X
2296-598X
DOI:10.3389/fenrg.2022.848966