Details

Autor(en) / Beteiligte

• Jing-Liao Sun
• Xiao-Qing Xie
• Ru Xiong
• Guo-Qiang Zeng
• Huan Wang
• Yu-Xing Dai

Titel

Binary-coded extremal optimization based fractional-order frequency control of an islanded microgrid

Ist Teil von

• 2017 36th Chinese Control Conference (CCC), 2017, p.10679-10685

Ort / Verlag

Technical Committee on Control Theory, CAA

Erscheinungsjahr

2017

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• Fractional order control theories have attracted increasing attentions recently due to their better control performance than traditional integer-order controllers, but there are few research works concerning their applications of power systems and power converters. This paper presents a novel binary-coded extremal optimization (BCEO) based fractional-order frequency control method for an islanded microgrid. The basic idea behind the proposed method is using an optimal fractional-order PID (FOPID) controller optimized by a simple but efficiency BCEO algorithm for the frequency control of an islanded microgrid. The superiority of the proposed BCEO-FOPID method to other reported binary-coded genetic algorithm based FOPID/PID, particle swarm optimization based fuzzy FOPID and BCEO based PID algorithms is demonstrated by the simulation results on a typical islanded microgrid.