Emergency power supply configuration method considering road traffic dynamic characteristics
A technology of dynamic characteristics and emergency power supply, which is applied in the traffic control system of road vehicles, traffic control system, traffic flow detection, etc., can solve the problems of wasting time and not being optimal, so as to reduce the loss of power failure, reduce the time spent, and achieve good The effect of economic gain
Active Publication Date: 2022-03-01
STATE GRID ZHEJIANG ELECTRIC POWER CO LTD HANGZHOU POWER SUPPLY CO
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However, there are still several problems that need to be solved urgently: the existing mobile emergency power supply configuration schemes often ignore the traffic network that is tightly coupled with the grid side, resulting in the selected path is often not optimal, thus wasting a lot of traffic on the road. Precious time
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[0043] Such as figure 1 As shown, a flow chart of an emergency power supply configuration method considering the dynamic characteristics of road traffic, including the following steps:
[0044] S1. Combining the historical data or real-time data of road traffic flow, construct a generalized regression neural network to predict the dynamic traffic flow in a certain period of time in the future;
[0045] In step S1, build a generalized regression neural network to predict traffic flow (the number of vehicles passing the road per minute), select N sets of numbers from the historical database to form a data set, and divide the data set into a training set and a test set at a ratio of 3:1. Specifically, 380 sets of data are selected from the historical database, of which 95 sets are used to test the training effect, and the remaining 285 sets of data are used to train the neural network. Among them, the construction of the generalized regression neural network is a general technol...
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The invention discloses an emergency power supply configuration method considering road traffic dynamic characteristics, and the method comprises the following steps: S1, constructing a generalized regression neural network in combination with the historical data or real-time data of road traffic flow, and predicting the dynamic traffic flow of a certain time period in the future; s2, defining a road dynamic traffic index to describe the dynamic characteristics of the road, and calculating the road dynamic traffic index according to the actual length of the road, the congestion time and the predicted traffic flow; s3, taking the road traffic indexes as a weight matrix of a Dijkstra algorithm, and performing optimal path search; and S4, through the selected optimal path, the power grid fault location is reached, a forward-backward substitution method is combined, the distribution network power flow is calculated, and the installation position of the emergency power supply is determined. According to the method, the dynamic characteristics of the urban power grid can be effectively considered, the optimal road passing scheme is established, and compared with a traditional path planning algorithm, the time spent on passing of the emergency power supply vehicle on the traffic network can be effectively shortened, and the power failure loss is reduced.
Description
technical field [0001] The invention relates to the technical field of emergency power supply configuration in electric power systems, in particular to an emergency power supply configuration method considering the dynamic characteristics of road traffic. Background technique [0002] With the development of China's economy, the process of urbanization and urbanization is accelerating. The gathering of the population prompts the city to continuously accelerate the construction of infrastructure such as buildings, transportation facilities, medical facilities, security facilities, and entertainment facilities. These factors lead to large loads, fast growth rates, and dense distribution of load groups in modern cities. [0003] Stepping into the information society, all aspects of human life and production are closely integrated with information technology. The planned future smart city will integrate the Internet of Things, cloud computing, Internet technology, wireless tech...
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Login to View More IPC IPC(8): G08G1/01G05D1/02G06Q50/06G06Q10/04G06N3/08
CPCG08G1/0129G08G1/0145G06Q50/06G05D1/0214G05D1/0217G06Q10/047G06N3/08Y02E40/70Y04S10/50
Inventor 黄天恩吴振杰王源涛唐剑周志全李祥莫雅俊牛涛张超李凡廖培薛霖李成达陈嘉宁苏熀兴夏衍董航周依希孙思聪张洁徐双蝶许鹏王艳祝文澜向新宇
Owner STATE GRID ZHEJIANG ELECTRIC POWER CO LTD HANGZHOU POWER SUPPLY CO