Abstract: Disclosed is a method for establishing an active distribution network planning model considering location and capacity determination of an electric vehicle charging station. In terms of location and capacity determination of electric vehicle charging stations, a traffic flow of electric vehicles is converted into a charging demand flowing in a traffic network, and an electric vehicle traffic network model is established based on an M/M/s queuing model and a flow capturing location model in the traffic field. A distributed generation (including wind power and photovoltaic) and load model is established, based on a time series method. An energy storage element model in a power distribution network is established based on an idea of equivalent load. A nested planning model is established by taking economy and reliability of a power distribution network and a maximum traffic flow intercepted by the electric vehicle charging stations as objectives.

Abstract: Disclosed is a power optical transmission route and spectrum allocation method based on an elastic optical network, including: determining a set of alternative routes among nodes of a power communication network according to power communication topology; coloring the routes for classification, determining a total number of colors allocated, and determining the coloring of the set of alternative routes according to a hop count of route nodes and the total number of colors of spectrums; proportionally classifying the spectrums into blocks according to the total number of colors allocated and the number of route classes allocated to each color; selecting an optimal solution from the set of alternative routes by comprehensively considering a switching hop count and a network-wide risk balance value, to determine a route to execute service allocation; and determining positions of spectrum blocks according to the route selected and the allocated colors, to complete spectrum allocation.