Research on Sphere Decoding Based Multistep Model Predictive Control in Single-Phase Photovoltaic Grid-Connected Inverter System

doi:10.11985/2016.11.004

Abstract

Abstract:

With the global fossil energy shortage, photovoltaic power generationis more and more popular because of its wide distribution, huge storage and environment-friendly. A sphere decoding based on multistep model predictive control strategy is proposed for the single phase roof photovoltaic power generation system. It can solve the issue of current static error and the poor dynamicperformance in the voltage feed-forward PI control strategy, and the poor current static error in the traditional model predictive control strategy. By comparing simulation results of this control strategy with the voltage feed-forward PI control strategy and the traditional model predictive control strategy, we know sphere decoding based multistep model predictive control can obtain lower steady-state error and improve anti-interference ability.

Key words: Single-phase grid-connected photovoltaic system, grid-connected current control, sphere decoding, multistepmodel predictive control

CLC Number:

TM464

Liu Congwei,Xiao Jiasong. Research on Sphere Decoding Based Multistep Model Predictive Control in Single-Phase Photovoltaic Grid-Connected Inverter System[J]. Journal of Electrical Engineering, 2016, 11(11): 26-32.

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	输出电压	VT₁	VT₂	VT₃	VT₄
V_AB	U_dc	1	0	0	1
	0	1	0	1	0
	-U_dc	0	1	1	0
	0	0	1	0	1

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