现代电子技术
現代電子技術
현대전자기술
MODERN ELECTRONICS TECHNIQUE
2014年
21期
139-141
,共3页
模糊电力感知网络%感知智能电网感知控制%电力云网络化控制%适应性
模糊電力感知網絡%感知智能電網感知控製%電力雲網絡化控製%適應性
모호전력감지망락%감지지능전망감지공제%전력운망락화공제%괄응성
fuzzy power sensing network%sensing control of perception smart power grid%power cloud network control%adaptability
针对传统的不确定时滞的鲁棒控制系统不能满足现代电力系统发展的需求，提出一种基于不确定非线性智能电网感知云网络化控制识别方法。使用传统的数据值和基于电力网络到网络系统模型作为电力感知网络到网络模型的电力云网络，控制数据优化使用电源感知网络，而不是利用控制节点的预测值，突破了鲁棒控制的不确定时滞系统的控制效果。运用感知模型中的正向云算法修正加权系数，仿真实验证明，该识别方法能够很好地优化传统的不确定时滞鲁棒控制电力系统，具有良好的适应性和鲁棒控制性，进一步提高了智能电网传感云网络控制的各项性能指标。
針對傳統的不確定時滯的魯棒控製繫統不能滿足現代電力繫統髮展的需求，提齣一種基于不確定非線性智能電網感知雲網絡化控製識彆方法。使用傳統的數據值和基于電力網絡到網絡繫統模型作為電力感知網絡到網絡模型的電力雲網絡，控製數據優化使用電源感知網絡，而不是利用控製節點的預測值，突破瞭魯棒控製的不確定時滯繫統的控製效果。運用感知模型中的正嚮雲算法脩正加權繫數，倣真實驗證明，該識彆方法能夠很好地優化傳統的不確定時滯魯棒控製電力繫統，具有良好的適應性和魯棒控製性，進一步提高瞭智能電網傳感雲網絡控製的各項性能指標。
침대전통적불학정시체적로봉공제계통불능만족현대전력계통발전적수구，제출일충기우불학정비선성지능전망감지운망락화공제식별방법。사용전통적수거치화기우전력망락도망락계통모형작위전력감지망락도망락모형적전력운망락，공제수거우화사용전원감지망락，이불시이용공제절점적예측치，돌파료로봉공제적불학정시체계통적공제효과。운용감지모형중적정향운산법수정가권계수，방진실험증명，해식별방법능구흔호지우화전통적불학정시체로봉공제전력계통，구유량호적괄응성화로봉공제성，진일보제고료지능전망전감운망락공제적각항성능지표。
Since the traditional uncertain time delay robust control system can not meet the needs of the development of mordern electric power system,a new intelligent power sensing cloud network control recognition method based on uncertain non-linear perception is put forward. The traditional data values and network system model based on power is taken as power cloud network control data optimization,which uses power supply sensing network model rather than the predictive value for the node control. It broke through the robust control which can not timely feedback control effect of the uncertain time delay system,but the weighted coefficient is corrected by the Xiang Yun algorithm in perception model of the performance indicator. The simula-tion results show that the recognition method has good adaptability,robustness and control for optimization of traditional uncer-tain time delay robust control system,and can further improve the smart power grid sensing cloud network control performance.
