China International Youth Conference on Electrical Engineering (CIYCEE 2020)

Based on the solution of mathematical models of distribution network, natural gas network and transportation network, combined with timing characteristics and multi-scenario technology, the output and load typical values of various power sources in multiple scenarios are obtained, and the operation optimization strategy of the components in the integrated energy-intelligent transportation system (IE-ITS) coupling network is proposed. On this basis, a two-level programming model is established. The upper-level model discusses the planning plan, and makes investment decisions, load regulation, and charging pile location with the goal of the lowest cost, highest reliability, and best voltage quality, using an improved NSGA-Ⅱ algorithm. The lower-level model considers the operating strategy, manages the upper-level scheme with the smallest amount of DG waste, using an improved particle swarm algorithm and TOPSIS method. The digital simulation results of an improved IEEE 33-node distribution network, 11-node natural gas network and 34-community transportation network verifies the effectiveness of the proposed bi-level programming model.

Multi-network coupling,timing characteristics,multi-objective bi-level programming,electric vehicles,active management