The invention relates to a lane distribution method for a single-point signalized intersection. The method comprises the following steps: S1, under a determined traffic demand, considering two kinds of traffic objects, namely motor vehicles and pedestrians, constructing a lane-based binary mixed integer nonlinear programming improved model by taking maximization of intersection traffic capacity asa target, and solving and obtaining an optimal lane allocation and signal timing scheme; and S2, considering the fluctuation of the traffic demand, establishing a two-stage random model based on thetraffic demand according to the lane distribution scheme obtained in the step S1, and solving and obtaining the lane distribution scheme with optimal robustness. Compared with the prior art, the method has the advantages that the lane distribution scheme with the optimal robustness is obtained, different traffic requirements can be met, pedestrian safety is considered, the traffic capacity of theintersection is greatly improved, and traffic jam is effectively relieved.

Lane distribution method for single-point signalized intersection

The invention discloses a power distribution network optimization scheduling method based on an electric vehicle two-stage rolling strategy According to the invention, modeling is carried out on thecharging demand of an electric vehicle, a real-time scheduling strategy of the electric vehicle is obtained through a grouping mechanism, the prediction value is updated in a two-stage rolling mannerby utilizing the latest power prediction information on the basis of day-ahead scheduling, the charging strategy of each sub-group of the electric vehicle is formulated, and the real-time scheduling of the electric vehicle is carried out through the charging and discharging priority According to the two-stage rolling type strategy adjustment real-time charging optimization method, the model solving difficulty can be remarkably reduced and the model solving speed can be improved The method can be applied to reasonable and feasible scheduling of an actual power grid, enables the scheduling ofthe electric vehicle to truly participate in the actual scheduling of the power grid, achieves the peak load shifting, and improves the permeability of renewable energy in the power grid

Power distribution network optimization scheduling method based on electric vehicle two-stage rolling strategy

The invention discloses a power impedance topological graph generation method and system for a power distribution area, and belongs to the technical field of power distribution areas. Current line impedance identification is large in calculated amount and long in required time. The invention relates to a power impedance topological graph generation method and system for a power distribution area,and the method comprises the steps: firstly obtaining the A/B/C three phases of a power distribution transformer side and the time sequence voltage data of each user load node, determining the phase relation of each load node through a K-means clustering method, and constructing a feature coefficient matrix for the divided A/B/C three phases; generating a single-phase topological adjacency matrixfor the characteristic coefficient matrix by adopting a prim algorithm, and finally fusing the obtained three-phase topological adjacency matrix of the transformer area with line impedance informationand geographic information coordinates to form an electric power information map of the whole power distribution transformer area; and the problems that in a traditional topology generation and parameter identification method, the hardware cost is too high, the node load phase cannot be determined, and the calculation time is long can be solved.

Tong Li

Papers

Power distribution network optimization scheduling method based on electric vehicle two-stage rolling strategy

Power impedance topological graph generation method and system for power distribution area