CAJ | 학술논문

由于基于传统的不确定时滞鲁棒控制系统不能满足新型电力云网络化控制用户的需求，提出了一种基于模糊云理论系统模型的感知智能配电云网络化控制识别方法，该方法采用优化传统数据值和电力云网络化控制数据的一种云理论系统模型，并用云理论结果代替被控节点预测值，攻破了不确定滞鲁棒控制系统控制效果不能及时反馈的问题，同时将供电系统性能指标引入到电力云网络化控制计算器中，运用性能指标的云模型中正向运算法修正加权系数，实现了感知智能配电云网络化的最优控制。基于实验仿真证明，该识别方法可以优化传统的不确定滞鲁棒控制系统，并具有良好的适应性、鲁棒性、控制性，同时可以进一步改善智能配电云网络化控制的各种性能指标。
유우기우전통적불학정시체로봉공제계통불능만족신형전력운망락화공제용호적수구，제출료일충기우모호운이론계통모형적감지지능배전운망락화공제식별방법，해방법채용우화전통수거치화전력운망락화공제수거적일충운이론계통모형，병용운이론결과대체피공절점예측치，공파료불학정체로봉공제계통공제효과불능급시반궤적문제，동시장공전계통성능지표인입도전력운망락화공제계산기중，운용성능지표적운모형중정향운산법수정가권계수，실현료감지지능배전운망락화적최우공제。기우실험방진증명，해식별방법가이우화전통적불학정체로봉공제계통，병구유량호적괄응성、로봉성、공제성，동시가이진일보개선지능배전운망락화공제적각충성능지표。
For traditional uncertain time delay robust control system can not meet the demand of users of new power cloud networked control, a kind of network control recognition of intelligent power distribution cloud is proposed, which is based on fuzzy cloud theory model. A cloud theory system model is adopted, which is based on the optimization of the traditional data values and power cloud networked control data, and the problem of untimely control effect feedback of the uncertain and robust control system is solved with the cloud theoretical result instead of predictive value of controlled node. Meanwhile, the power supply system performance index is introduced into the power cloud networked control calculator to modify the weighting coefifcient through positive operation method, and realized the optimal control of smart distribution cloud networked control. Simulation results show that the recognition method can optimize traditional uncertain delay robust control system, and has good adaptability, robustness, and controllability. Meanwhile, it can further improve the control performance of smart distribution cloud networked control.