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Multi-objective control of multi-functional grid-connected inverter for renewable energy integration and power quality service

机译:多功能并网逆变器的多目标控制,可再生能源集成和电能质量服务

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摘要

Multi-functional grid-connected inverters (MFGCIs) not only interface renewable energy sources into the utility, but also provide ancillary power quality enhancement service. Therefore, extra installment of power quality conditioners can be partially avoided in a micro-grid including MFGCIs. Because the capacity of an MFGCI employed for power quality compensation is limited, how to balance the multiple functions and optimally utilise the limited capacity becomes a challenging for MFGCI application, and this is studied in details in this paper. First, to set up a benchmark for balancing the multiple functions of the MFGCI, a comprehensive power quality evaluation (CPQE) index is presented based on the catastrophe decision theory to quantify the power quality of a micro-grid. Then, for the strategic utilisation of the limited capacity, a multi-objective optimal compensation model is proposed in which the objectives are to optimise the CPQE index and minimise the occupied capacity of an MFGCI for power quality compensation. Finally, the solutions of the model are derived on the basis of Pareto approach. As a result, the MFGCI can flexibly customise the power quality of the micro-grid according to its available capacity margin and the users’ requirement. Finally, the experimental results performed on a 10 kVA MFGCI prototype have confirmed the validity of the proposed model.
机译:多功能并网逆变器(MFGCI)不仅将可再生能源与公用事业连接,而且还提供辅助电能质量增强服务。因此,在包括MFGCI的微电网中,可以部分避免额外安装电能质量调节器。由于用于电能质量补偿的MFGCI的容量是有限的,因此如何平衡多种功能以及最佳利用有限的容量成为MFGCI应用的一个挑战,本文对此进行了详细研究。首先,为建立平衡MFGCI多个功能的基准,基于突变决策理论提出了综合电能质量评估(CPQE)指标,以量化微电网的电能质量。然后,为了策略性地利用有限容量,提出了一种多目标最优补偿模型,其目的是优化CPQE指标并使MFGCI的电能质量补偿的占用容量最小。最后,在帕累托方法的基础上导出了模型的解。因此,MFGCI可以根据其可用容量裕度和用户需求灵活地自定义微电网的电能质量。最后,在10 kVA MFGCI原型上进行的实验结果证实了所提出模型的有效性。

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