College of Electrical Engineering, Sichuan University, Chengdu 610065, China
This work is supported by National Natural Science Foundation of China (No.51807125), Fundamental Research Funds for the Central Universities (No.YJ201750), and Department of Science and Technology of Sichuan Province (No.2019YFG0152).
With the development of clean energy, high penetration of distributed generation (DG) and electric vehicle (EV) which have brought lots of impacts on the planning and operation of distribution network, such as a large number of abandoned power, aggravating load peak-valley difference, etc. A bi-level model of planning and operation is established. It takes the DG output correlation and EV demand response into account, to reduce load fluctuation. Firstly, based on the DG probability models, the correlation matrix method is used to produce DG correlation sample. Secondly, it is established a bi-level model of multi-objective planning and operation, and the upper layer considered the collaborative planning of DG and charging pile(CP), while the lower layer considered the operating costs such as load fluctuation, DG power abandonment, etc. The proposed EV charge-discharge price which fluctuated with the load, DG related samples and so on were expressed in a constraint way. Then Voronoi diagram method is used to divide the service scope of charging station. The upper limit of EV response is determined and the two-layer model is transformed. Finally, the CPLEX tool kit is adopted to solve the second order cone model which proposed in this paper, through a "Transportation network-distribution network" associated system to verify the effectiveness of the proposed model and method.
LIU Jinyuan,LV Lin,GAO Hongjun,et al.Active Distribution Network Planning Considering Characteristics of Distributed Generation and Electric Vehicle[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20190826001.