Prof. Xingquan Ji
College of Electrical Engineering and Automation,
Shandong University of Science and Technology
1) Power system planning;
2) Power system optimization;
3) Distribution network automation
Brief introduction of the research experience:
XINGQUAN JI received the B.S. and M.S. degrees from Shandong University of Technology, Jinan, China, in 1994 and 1998, respectively, and the Ph.D. degree from Tianjin University, Tianjin, China, in 2003, all in Electrical Engineering. From 2003 to 2005, he worked in Zhejiang University as a postdoctoral researcher. Since 2005, he has been with the Shandong University of Science and Technology, China, where he is currently a Professor with the Department of Electrical Engineering and Automation. He has published more than 100 papers. His current research interests include 1) Power system planning; 2) Power system optimization; 3) Distribution network automation
Distribution Network Planning Considering Flexible Load and Soft Open Points
In recent years, with the continuous reform of the power system and the development of power electronics technology, flexibility has become an important feature of the power distribution system. On the one hand, the load has gradually changed from rigid to flexible. On the other hand, it has become an important trend to use flexible power electronic technology to upgrade the distribution network. We studied the distribution network planning problem that considers flexible loads and soft open points (SOPs).
Firstly, according to the direction of power flow between the grid and the load, the flexible loads are divided into "source", "source load" and "load". The multi-scenario method, Monte Carlo sampling method, and demand price elasticity method are used separately to simulate the power characteristics of the above three flexible loads. Next, considering the timing adjustment characteristics of the energy storage system (ESS) and the spatial adjustment characteristics of SOP, a joint planning model of ESS, SOP and distribution network is proposed. Then, a linear power flow model is introduced, and the non-convex nonlinear programming problem is transformed into a mixed integer linear programming problem, which can be easily solved by commercial packages.
Simulation results show that the addition of flexible load can smooth the load curve, reduce power loss, and improve the voltage quality. Both ESS and SOP can reduce transmission congestion to delay the upgrade of the distribution network.