首页|基于并网逆变器控制的配网电能质量治理模型

基于并网逆变器控制的配网电能质量治理模型

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随着分布式电源广域多点接入配网,导致配网电能质量问题凸显.分布式电源通过并网逆变器接入配网,对并网逆变器的优化控制可提升电能质量的源端改善效果,并可以充分挖掘逆变器剩余容量的调控潜力,因此文中提出基于分布式电源并网逆变器控制的配网电能质量多目标优化模型.首先,分析分布式电源逆变器在保证发电质量的同时,其可调容量的量化模型;然后,根据配网分区电能质量评估结果,建立并网逆变器控制参数优化模型,提出基于逆变器控制的电能质量多目标优化方法;最后,通过仿真算例验证所提方法的有效性.结果表明,采用文中所提方法,配网谐波和不平衡得到了明显抑制,补偿效果明显,是未来新型配电网电能质量优化的有效手段.
Distribution Network Power Quality Management Model Based on Grid-Vonnected Inverter Control
As distributed power sources access the distribution network in a wide range of multiple points,the power quality problems of the distribution network are highlighted.Distributed power sources are connected to the distribution network through grid-connected inverters,and the optimal control of grid-connected inverters can enhance the source-side improvement effect of power quality and fully exploit the regulation potential of the remaining capacity of the inverters.Therefore,this paper proposes a multi-objective optimisation model of distribution network power quality based on the control of grid-connected inverters of distributed power sources.Firstly,the quantitative model of the adjustable capacity of distributed power inverters is analysed to ensure the quality of power generation;then,according to the results of the power quality assessment of distribution network zones,the optimization model of grid-connected inverter control parameters is established,and the multi-objective optimization method of power quality based on inverter control is proposed;finally,the effectiveness of the proposed method is verified through simulation examples.Finally,the effectiveness of the proposed method is verified by simulation examples.The results show that,with the method proposed in this paper,the harmonics and unbalance of the distribution network are obviously suppressed,and the compensation effect is obvious,which is an effective means for the future optimisation of the power quality of a new type of distribution network.

power qualitydistributed generationgrid-connected inverter controlcollaborative optimizationNSGA-Ⅱ algorithm

杨婧暄、张驰

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中国能源建设集团辽宁电力勘测设计院有限公司,辽宁沈阳 110179

华能农安生物质发电厂,吉林农安 130200

电能质量 分布式电源 并网逆变器控制 协同优化 NSGA-Ⅱ算法

2024

东北电力大学学报
东北电力大学

东北电力大学学报

影响因子:1.157
ISSN:1005-2992
年,卷(期):2024.44(5)