A Control Strategy of BESS and its Real-Time Simulation for increasing the Hosting Capacity of Variable Energy Resources in the Distribution System

Author(s):  
Han Nim Yu ◽  
Woo Yeong Choi ◽  
Kyung Soo Kook
Author(s):  
Daniel Fernandez ◽  
David Felipe Celeita Rodriguez ◽  
Manuel Trujillo ◽  
Miguel Hernandez ◽  
Gustavo Ramos

2014 ◽  
Vol 703 ◽  
pp. 335-338
Author(s):  
Qin Zhang ◽  
Yu Xin Sun ◽  
Huang Qiu Zhu ◽  
Xian Xing Liu

A bearingless induction motor is a strong coupled complex system, the decoupling control of torque and radial suspension force is the premise of the stable operation of the bearingless induction motor. In this paper, the principle of bearingless induction motor is expounded. The magnetic mathematical models of bearingless induction motor are created. The rotor field oriented control strategy is designed. The control strategy is validated with Matlab/simulink. Real-time simulation model based on dSPACE is given and the platform based on dSPACE is constructed. The results show that this method has good decoupling control performance. The actual system development and experiment process confirms that the dSPACE real-time simulation platform can shorten the development time and facilitate the development process, and save costs during the design and test period.


2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Yao-fei Ma ◽  
Xiao Song ◽  
Jiang-yun Wang ◽  
Zhen Xiao

A real-time infrastructure, called MLRTI, is proposed in this paper to fulfill the requirement of real-time simulation in distributed environment. There are two novel contributions in this work. Firstly, a flexible timing mechanism is proposed to integrate external time source and local timer utility, enabling the distributed nodes to advance their timeline simultaneously at different speeds with high precision. A data transmission solution is also presented in which the reflective memory card (VMIC) is employed to provide fast data transmission with minimum delay. Secondly, a system partition schema is proposed in MLRTI to reduce the solution errors introduced by transforming a continuous system into distribution system, which is common in a class of control applications where the system is designed in centralized model but simulated in distributed environment for constrains on system structure or the need to balance computation load. Experiments are conducted and the results show this schema effectively reduces the possible errors by properly partitioning the system into parts that are suitable to be deployed in distributed environment.


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