Predictive Control of Power Electronics Converters in Renewable Energy Systems

Jiefeng Hu and Ka Wai Eric Cheng
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Jiefeng Hu: Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Ka Wai Eric Cheng: Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Energies, 2017, vol. 10, issue 4, 1-14

Abstract: Predictive control has attracted much attention and has been widely used in power electronics and electric drives. However, further developments for applications in the field of renewable energy systems are still under investigation. In this paper, the principles of predictive control are studied with a focus on model predictive control (MPC) and vector-sequence-based predictive control (VPC). Based on these techniques, two control strategies for flexible power supply are developed. They are implemented in the most promising renewable energy systems, namely solar photovoltaic (PV) systems and wind generators, respectively. The experimental results based on a laboratory prototype show that the active and reactive powers supplied by the PV and wind generator can be controlled flexibly with excellent steady-state and transient performance. As the penetration level of the renewable energy sources in electricity network continues to rise, predictive control tends to be an attractive and powerful technique for power electronics converters in renewable energy systems.

Keywords: predictive control; power converters; renewable energy; distributed generation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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