Model predictive DC-component power control for grid-connected inverters under unbalanced network
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ORIGINAL ARTICLE
Model predictive DC‑component power control for grid‑connected inverters under unbalanced network Bihua Hu1 · Zhiyong Chen1 · Zhi Zhang2 · Wenlang Deng1 · Dongdong Zhao1 Received: 11 March 2020 / Revised: 9 October 2020 / Accepted: 26 October 2020 © The Korean Institute of Power Electronics 2020
Abstract Under an unbalanced network, model predictive control (MPPC) with a new definition of the instantaneous reactive power has attracted a great deal of attention due to its simple control structure and outstanding steady-state performance. However, the reactive power cannot precisely trace the nonzero reference. In this paper, a model predictive DC-component power control (MPDCPC) is proposed to tackle the above-mentioned problem. Additionally, the MPDCPC can eliminate oscillations on the reactive power and the negative-sequence current. Then, the corresponding mathematical formulas are derived to extract the DC-component powers, to calculate the DC-component power derivative and to modify the power reference. By regulating the DC-component power to trace the modified reference, the MPDCPC can reduce the current harmonic and remove the oscillations on the active power, reactive power or negative-sequence current. Simulation and experimental platforms are established to demonstrate the validity of MPDCPC. Results demonstrate that the MPDCPC can effectively suppress current distortion and remove oscillations on active power, reactive power or negative-sequence current. In addition, the MPDCPC can successfully break through the restrictions of the MPPC with a new definition of instantaneous reactive power. Keywords C-component powers · Grid current distortion · Model predictive power control (MPPC) · Unbalanced network
1 Introduction Grid-connected inverters, which transfer electric energy from DC sources (photovoltaic panels or batteries) to a grid, play an indispensable role in distributed power systems [1, 2]. The steady-state performance of distributed power systems can be improved by proposing new topologies and control algorithms. Many new topologies (multilevel inverters) have been presented to achieve these goals [3, 4]. However, these topologies include too many power switches, are very complicated and have a very high hardware. Thus, these topologies are only used by the low-power inverters. Alternatively, upgrading control algorithms can improve the steady-state performance and accelerate the dynamic response of systems [5, 6]. The algorithms commonly employed by grid-connected inverters include PI control * Bihua Hu [email protected] 1
School of Automation and Electronic Information, Xiangtan University, Xiangtan, China
Department of Electrical Engineering, Dongguan University of Technology, Dongguan, China
2
[7], proportional integral resonant (PIR) control [8], droop control [9] and model predictive control (MPC) [10, 11]. When compared with the above control algorithms, MPC has a faster dynamic response and avoids the use of a PWM modulator. In addition, MPC optimizes con
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