#$%^&*AU2019101500A420200123.pdf#####ABSTRACT An economic dispatch algorithm is presented for smart microgrids with distributed generators over unbalanced directed networks. The increased complexity of modem energy network raises the necessity of flexible and reliable methods for power system operation. The algorithm mainly comprises four parts including variable initialization; selecting stepsize; dynamic tracking of Perron vector; updating variables. This invention proposes a fully distributed algorithm to address the economic dispatch problem (EDP) over directed networks and takes into account communication delays and noisy gradient observations. The present invention has broad application in economic dispatch in smart microgrids.1/6 Drawing :Start |Each generator initializes local variables Select uncoordinated stepsizes according to uncoordinated term a,(k) |Each generator sets k = 0 and maximum number of iterations kJ Each generator sends dual and surplus variables to its out-neighbors Each generator updates its surplus variable Each generator computes dual variable Each generator updates its output according to the new dual variable Each iteration sets k = k+1 k N y End Fig. 1
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机译:#$%^&* AU2019101500A420200123.pdf #####抽象提出了一种分布式发电机智能微电网的经济调度算法在不平衡的定向网络上。现代能源网络日益复杂提出了灵活而可靠的电力系统运行方法的必要性。的算法主要包括变量初始化四个部分。选择步骤大小;动态跟踪Perron向量;更新变量。本发明提出了一种完全分布式算法解决定向网络上的经济调度问题(EDP)并考虑了通信延迟和嘈杂的梯度观测。现在本发明在智能微电网的经济调度中具有广泛的应用。1/6画画:开始|每个生成器初始化局部变量选择不协调的步长根据不协调项a,(k)|每个发电机组k = 0,最大迭代次数kJ每个发电机发送双重和剩余邻居的变量每个生成器更新其剩余变量每个生成器计算对偶变量每个生成器更新其输出根据新的对偶变量每个迭代集k = k + 1Nÿ结束图。1
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