AUTHOR=Liu Chao , Li Qingquan , Tian Xinshou , Wei Linjun , Chi Yongning , Li Changgang 

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

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.848966

DOI=10.3389/fenrg.2022.848966

ISSN=2296-598X

ABSTRACT=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, due to wind power technology is more advanced and mature than other renewable energy sources. In addition, with a large number of wind power connected to the grid, it not only brings help to the automatic generation control (AGC) of power system, but also brings new challenges and difficulties. In this paper, a multi-sources 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 paper presents an AGC optimal coordinated control method based on 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 control performance.