Control of three-phase voltage source inverter for renewable energy applications

Control of three-phase voltage source inverter for renewable energy applications
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可再生能源应用的三相电压源逆变器的控制

DOI:
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发表时间:
2011
期刊:
International Telecommunications Energy Conference
影响因子:
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通讯作者:
P. Jain
P. Jain
中科院分区:
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文献类型:
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作者:
S. Eren;A. Bakhshai;P. Jain

文献摘要

被引文献

相似文献

介绍了一种用于可再生能源应用的电压源型逆变器(VSI)的快速优化控制方案。为了将电力从可再生能源输送到公用电网,需要快速控制器来最大化电力输送。在文献中已经提出了许多网侧控制方法,这提出了不同的方法来解决这个问题。所提出的方法提供了与传统的基于PI控制器的电网侧控制器的缺点相关联的解决方案。这些缺点包括缓慢的动态特性和控制反馈信号的失真。该方法使用通过线性二次调节(LQR)优化的比例谐振(PR)控制器来跟踪由基于瞬时功率的电流参考产生方法产生的参考电流。基于瞬时功率的电流基准生成方法消除了基于平均功率的电流基准生成方法中固有的延迟。由于PR控制器的快速动态特性,所提出的控制回路是快速的。由于PR控制器在谐振频率处的抗扰能力,它抑制了由公共耦合点(PCC)处的电压产生的正弦干扰。最后,PR控制器的系数通过LQR优化,以使控制器达到峰值性能。最后给出了该网侧控制方法的仿真结果,验证了该方法的有效性和可行性。
This paper introduces a fast and optimized control scheme for grid-connected voltage source inverters (VSI) used in renewable energy applications. To deliver power from a renewable energy source to the utility grid, a fast controller is required to maximize power delivery. Many grid-side control methods have been proposed in the literature, which present different approaches to this problem. The proposed method provides solutions for the drawbacks associated with conventional PI-controller-based grid-side controllers. These drawbacks include slow dynamics, and distortion in the control feedback signal. This method uses a proportional resonant (PR) controller optimized through linear quadratic regulation (LQR) to track the reference current produced by an instantaneous power-based current reference generation method. The instantaneous power-based current reference generation method eliminates the delay inherent in average power-based current reference generation methods. The proposed control loop is fast due to the fast dynamics of the PR controller. It rejects the sinusoidal disturbance produced by the voltage at the point-of-common-coupling (PCC) due to the disturbance rejection capabilities of the PR controller at the resonant frequency. Finally, the PR controller coefficients are optimized through LQR in order for the controller to reach peak performance. Simulation results of this grid-side control method are presented, which verify its validity and feasibility.