首页> 外文会议>China International conference on electricity distribution >Short-term PV generation forecasting based on a multi-object AVC strategy assessment system based on modified radar chart method
【24h】

Short-term PV generation forecasting based on a multi-object AVC strategy assessment system based on modified radar chart method

机译:基于改进雷达图法的多目标AVC策略评估系统的短期光伏发电预测

获取原文

摘要

The AVC system is a critical automatic control system which makes contribution to securing the voltage and reactive power operation of the power network. During the closed-loop detection of the AVC system which is to be applied in sub-transmission network, much problems have been found about AVC strategies, including their failing in optimizing voltage level, power factor of 220kV transformer and active power loss, while in some occasion the switching constraints is not satisfied. The existed AVC assessment index is usually designed based on power system operation assessment index, which is not so suitable for AVC assessment. Aiming at this problem, this essay present a three-layer AVC strategy assessment index. The first two layer of the index gives assessment on the satisfaction and the effect of AVC strategy, while the third layer makes analysis about the regulation potential of the network. The fuzzy membership function is used in the designing of the first layer of index to depict the relationship between index value and satisfaction degree. Finally, a modified radar chart method is employed to illustrate the assessment result, while two evaluation functions are presented to compare different strategies. The example shows that this method is credible.
机译:AVC系统是一种关键的自动控制系统,其为确保电力网络的电压和无功功率操作提供贡献。在要在子传输网络中应用的AVC系统的闭环检测期间,已经发现了许多问题的AVC策略,包括它们在优化电压电平,220kV变压器的功率因数和有源功率损耗时失效,而且在有些场合不满足切换约束。现有的AVC评估指数通常根据电力系统操作评估指数设计,这不是适合AVC评估。针对这个问题,本文提出了三层AVC策略评估指数。该指数的前两层对AVC策略的满意和效果提供了评估,而第三层对网络的调节潜力进行了分析。模糊隶属函数用于设计第一层索引,以描绘索引值与满意度之间的关系。最后,采用修改的雷达图方法来说明评估结果,而提出了两个评估函数以比较不同的策略。该示例显示此方法是可信的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号