Multi-Objective Planning of DGs Considering ES and EV Based on Source-Load Spatiotemporal Scenarios

With the development and application of large-scale distributed generation and new electrify transportation loads such as electric vehicles and electric ships, the intermission and randomness of distributed generation and transportation loads lead to enormous challenges in the operation and planning of distribution network. In this paper, a multi-objective planning model is proposed for the distributed generations that considers the transportation loads and the typical source-load spatiotemporal scenarios. Firstly, the probability model of distributed generation and various electric loads are established. And the typical source-load spatiotemporal scenarios are established according to the probability theory and the multi-scenario analysis method. Then three objective functions are represented for the planning model, the objective functions includes the economic objective minimal average annual comprehensive cost of distributed generation, the technical objective maximal comprehensive utilization rate and the security objective minimal average voltage offset of the bus. The multi-objective function is solved by a hybrid multi-objective algorithm, which combines Particle Swarm Optimization, Simulated Annealing. Finally, A IEEE-33 bus system in port area of China is employed to verify the effectiveness of the prosed model and algorithm.