| 直流微电网潮流控制器与分布式储能协同控制策略 |
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| 引用本文： | 邓诗蕾,王明渝.直流微电网潮流控制器与分布式储能协同控制策略[J].电力系统保护与控制,2018,46(24):40-46. |
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| 作者姓名： | 邓诗蕾 王明渝 |
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| 作者单位： | 重庆大学输配电装备及系统安全与新技术国家重点实验室，重庆 400044,重庆大学输配电装备及系统安全与新技术国家重点实验室，重庆 400044 |
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| 基金项目： | 国家自然科学基金资助项目(51677016) |
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| 摘 要： | 针对直流微电网互联变换器提出一种能根据两端直流母线电压判断自身传输功率方向与大小的智能控制策略。该策略首先将两个直流微电网之间的互联变换器作为微电网潮流控制器(MicrogridPowerFlowController,MPFC)来控制互联线路上的潮流。然后提出一种微网自适应功率下垂控制方法使MPCF与分布式储能协同控制直流母线电压。最后使用Matlab/Simulink仿真验证该控制方法能够有效提高系统的稳定性和效率,并且能够减小因不需要的功率流动所带来的功率损耗及储能的充放电次数。
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| 关 键 词： | 直流微电网 微电网潮流控制器 分布式储能 智能控制 自适应下垂控制 |
| 收稿时间： | 2017/12/8 0:00:00 |
| 修稿时间： | 2018/4/2 0:00:00 |
Cooperative control strategy of DC microgrid power flow controller and distributed energy storage system |
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| DENG Shilei and WANG Mingyu.Cooperative control strategy of DC microgrid power flow controller and distributed energy storage system[J].Power System Protection and Control,2018,46(24):40-46. |
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| Authors: | DENG Shilei and WANG Mingyu |
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| Affiliation: | State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China and State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China |
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| Abstract: | An intelligent control strategy for DC microgrid interconnection converters is presented to estimate the direction and magnitude of power flow according to the DC bus voltage. In this strategy, the interconnection converter is utilized as the Microgrid Power Flow Controller (MPFC) to control the power flow on the interconnected lines between two DC microgrids. Then a microgrid self-adaptive droop control method is proposed to ensure MPCF and distributed energy storage to control DC bus voltage cooperatively. Finally, simulation results are presented in the Matlab/Simulink to verify the effectiveness of the proposed method, which can improve the stability and power utilization of the system and reduce the power loss caused by the redundant power transmission and the charge-discharge times of energy storage. This work is supported by National Natural Science Foundation of China (No. 51677016). |
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| Keywords: | DC microgrid microgrid power flow controller distributed energy storage intelligent control strategy self-adaptive droop control strategy |
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