Research on Virtual Inertial Control Strategy of DC/DC Converter in DC Microgrid Considering Self-adaptive Parameters
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Research on Virtual Inertial Control Strategy of DC/DC Converter in DC Microgrid Considering Self-adaptive Parameters
Vol. 46, Issue 4, Pages: 1281-1290(2020)
作者机构:
1. 国网新疆电力有限公司经济技术研究院
2. 华中科技大学电气与电子工程学院强电磁工程与新技术国家重点实验室
3. 国网宁夏电力有限公司电力科学研究院
作者简介:
基金信息:
DOI:
CLC:
Published Online:30 April 2020,
Published:2020
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CAO Xinhui, LIU Yuliang, MIAO Shihong, et al. Research on Virtual Inertial Control Strategy of DC/DC Converter in DC Microgrid Considering Self-adaptive Parameters[J]. 2020, 46(4): 1281-1290.
DOI:
CAO Xinhui, LIU Yuliang, MIAO Shihong, et al. Research on Virtual Inertial Control Strategy of DC/DC Converter in DC Microgrid Considering Self-adaptive Parameters[J]. 2020, 46(4): 1281-1290.DOI:
Research on Virtual Inertial Control Strategy of DC/DC Converter in DC Microgrid Considering Self-adaptive Parameters
and it is more efficient and reliable to connect with distributed generation and DC load. But traditional droop control cannot solve the problems of small inertia and bus voltage being greatly affected by power fluctuation in DC micro-grid system. In order to improve the inertia of DC microgrid and solve the problem of DC bus voltage fluctuation
an improved virtual inertia control strategy of DC/DC converter in DC microgrid is proposed by analogizing the rotor characteristics and primary frequency modulation characteristics of synchronous generators. Firstly
according to the response characteristics of power fluctuation
the variation of the system control parameters needed to obtain the disturbance is analyzed. The response characteristics of DC/DC converter under the proposed virtual inertial damping coefficient self-adaption control strategy for DC micro-grid are analyzed by signal model
and the influences of key control parameters on system response characteristics and system stability are discussed. Finally
a DC microgrid model is built in PSCAD/EMTDC
and the simulation results verify the correctness and effectiveness of the proposed control strategy.