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RISS 인기검색어
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- 저자 : Zhuo Yixin (검색결과 2 건)
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A Virtual Resistance Based Reactive Power Sharing Strategy for Networked Microgrid
Yixin Zhu,Baoquan Liu,Feng Wang,Fang Zhuo,Yangjie Zhao 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6
Different from the traditional microgrid with a common ac bus, networked microgrid always suffers more serious reactive power sharing problems due to its complex inner configurations. In such a situation, the reactive power sharing errors among distributed generation (DG) units can’t be eliminated effectively. Thus, an advanced reactive power sharing strategy that employs communication and virtual resistance control is hereby proposed for networked microgrid. First of all, the relation between reactive power output and virtual impedance regulation (VRR) is discussed. After that, communication is introduced to assign reactive power reference to each DG unit for their respective VRR, which is able to compensate the mismatch in network. The method is immune to the load change during the regulation stage, and also to the time delay in communication channels. From the small signal analysis, it also can be seen that in the designed regulation range, VRR has no significant effect on the system stability. The feasibility and effectiveness of the proposed strategy are validated by the simulation and real time digital simulator (RTDS) test results from a 50 kVA networked microgrid system.
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Fast Supplementary Voltage Control Strategy to Mitigate Catastrophic Trip-off Risk of Wind Turbines
Yin Lifu,Liu Yongcheng,Wang Zhuxiu,Xu Ang,Li Zhengtian,Lin Xiangning,Feng Zhongnan,Zhuo Yixin 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.6
There exists such a risk that Magnetic Control Reactor (MCR) type Static Var Compensator (SVC), which is widely used in wind farms, still outputs excessive reactive power after fault removal in the wind farm due to the slow regulating speed of MCR, leading to catastrophic trip-off problem of wind turbine. For the purpose of overcoming the shortage of MCR-type SVC on regulating speed and eff ectively controlling the transient over-voltage level of wind farm due to fault removal, an novel fast supplementary voltage control strategy for MCR-type SVC based on decision tree algorithm is proposed. The over-voltage level and trip-off risk of each wind turbine after fault removal is predicted by the proposed dynamic voltage security decision tree system. According to the predictions, appropriate capacitor banks are shed to lower the risk of wind turbine trip-off due to overvoltage, resulting from reactive power over-compensation. It can be proven with case studies that the proposed strategy is capable of reducing the risk of over-voltage in wind farms, accompanied by the excellent computational effi ciency.
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