Pre-Dispatching Method of New Generation Dispatching and Control System Based on Digital Twin and Deep Learning

doi:10.16183/j.cnki.jsjtu.2021.S2.006

Abstract

Abstract:

To meet the demand of scalability and decision-making foresight of the traditional dispatching automation system in the new power system, a novel pre-dispatching method of new generation dispatching and control was proposed. First, the power grid digital twin was established in the description subsystem layer, which can reflect the state of power grid primary equipment, secondary equipment, and environment. Then, in the prediction subsystem level, the deep learning models were used to learn and predict future situation or accident risk of power grid operation in power grid digital twin. Finally, the feasibility of the proposed method was verified by the implementation example of East China Grid. The application results show that the pre-dispatching method improves the efficiency of system in dealing with the operation control problems of the new power system, which also provides a useful reference for comprehensive construction, popularization, and application of new generation power systems.

Key words: digital twin, deep learning, pre-dispatching, new generation dispatching and control system

CLC Number:

TM734

WANG Xingzhi, ZHAI Haibao, YAN Yaqin, WU Qingxi. Pre-Dispatching Method of New Generation Dispatching and Control System Based on Digital Twin and Deep Learning[J]. Journal of Shanghai Jiao Tong University, 2021, 55(S2): 37-41.

Figures/Tables 3

References 12

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算例	算法	预测准确度/%
全口径系统负荷	深度森林	97.43
全口径系统负荷	多项式回归	96.76
全口径新能源负荷	深度森林	83.27
全口径新能源负荷	多项式回归	83.21
调度口径系统负荷	深度森林	98.72
调度口径系统负荷	多项式回归	97.65
调度口径新能源负荷	深度森林	86.58
调度口径新能源负荷	多项式回归	85.88

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