广东电网多目标无功补偿配置方法研究

如何根据电网的拓扑结构和实时负荷合理地确定柔性交流输电系统(flexible AC transmission systems,FACTS)装置的配置成为近年研究热点。为了能够在计算无功补偿的过程中考虑影响配置的多种因素,提出了多目标无功优化的计算方法。通过遗传算法,以有功功率损耗和投资这两个目标函数建立多目标数学寻优模型,并设定节点电压偏差评价函数为约束破坏函数。分析由前沿曲线得出的折中解可知:经过补偿后网络的有功功率损耗下降超过5%;而且采用遗传算法多目标进行无功配置后不仅能够有效地降低网络的有功功率损耗,还为决策者提供了多种配置选择,使得决策者可以根据实际需要选择恰当合适的补偿配置。在与经济压差法确定无功补偿容量的对比中,多目标优化方法虽然在降低有功功率损耗方面与经济压差法相差无几,但是设备投资则大为节省。

Study on Multi-obj ective Reactive Power Compensation Configuration in Guangdong Power Grid

It is a hot research topic in recent years to reasonably ensure configuration of flexible AC transmission system ac-cording to topology structure of power grid and real-time load.For considering various factors which may affect configura-tion when calculating reactive power compensation,this paper proposes a kind of calculation method based on multi-objec-tive reactive power optimization which is using genetic algorithm and two target functions including active power loss and in-vestment to establish a multi-objective mathematic optimizing model.Meanwhile,it sets node voltage bias evaluation function as constraint violation function.By analyzing the compromise solution gained from frontier curve,it concludes that active power loss of the compensated grid declines over 5%.In addition,by using genetic algorithm and multi-objective optimiza-tion to conduct reactive power configuration,active power loss of the grid is effectively reduced and several configuration choices are useful to be provided for decision makers to select proper and suitable compensation configuration according to practical requirements.In comparison of economic pressure differential method for ensuring reactive compensation capacity, the multi-objective optimization is useful to save equipment investment although it is of the same effectiveness in reducing ac-tive power loss as economic pressure differential method.