引用本文: | 王环,曾国强,戴瑜兴.基于APEO的分布式电源改进型下垂优化控制策略研究[J].电力系统保护与控制,2020,48(2):68-75.[点击复制] |
WANG Huan,ZENG Guoqiang,DAI Yuxing.Research on modified droop control of distributed generation units by adaptive population-based extremal optimization[J].Power System Protection and Control,2020,48(2):68-75[点击复制] |
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摘要: |
如何对分布式电源的控制策略和控制参数进行优化改进设计,使其更适应于线路阻抗为阻性的低压离网微电网等工作环境,具有重要意义。为此,设计提出了一种基于自适应群体极值优化(APEO)的分布式电源改进型下垂优化控制方法。该方法内容为在传统下垂控制的基础上引入阻性下垂控制和相位平移量的累加控制,并将分布式电源改进型下垂控制器参数优化设计问题转换为一个典型的有约束优化问题,利用所设计的APEO算法获得分布式电源改进型下垂控制器最优参数,最终实现了电压稳定和功率协调的解耦控制,降低了分布式电源并离网切换时的暂态冲击,实现了分布式电源在工作模式未切换状态下的热插拔功能。最后在由两台容量为10 kW分布式电源构成的微电网实验系统上进行了硬件平台测试实验,验证了所提出的控制策略的有效性和可行性。 |
关键词: 下垂控制策略 分布式电源 极值优化 微电网(微网) |
DOI:10.19783/j.cnki.pspc.190207 |
投稿时间:2019-02-27修订日期:2019-05-31 |
基金项目:国家自然科学基金项目资助(61972288);浙江省公益技术应用研究项目资助(LGG20F030010);浙江省自然科学基金重点项目资助(LZ16E050002) |
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Research on modified droop control of distributed generation units by adaptive population-based extremal optimization |
WANG Huan,ZENG Guoqiang,DAI Yuxing |
(National-Local Joint Engineering Laboratory of Electrical Digital Design Technology, Wenzhou University, Wenzhou 325035, China) |
Abstract: |
How to optimize control strategy and parameters for Distributed Generation (DG) units in off-grid microgrids under resistive feeder impedance condition is great of practical significance. For this purpose, a modified droop controller design method for the DG units based on Adaptive Population-based Extremal Optimization (APEO) is designed. The content of the proposed method is that firstly through introducing the resistive droop control and the sum of phase translation based on the fundamental harmonic droop control. Then the design problem of modified droop controller for the DG units is formulated as a typical constrained optimization problem, and an APEO is designed to solve this formulated problem. Finally, the problem of the coupling between voltage stability and power shearing by DG units is solved; the transient impact of DG units on switching between grid-connected and islanded modes is reduced; and hot swap can be realized without DG changing work modes. At last, the superiority in power control performance of the proposed method is demonstrated by experimental results on a microgrid demonstration which is consist of two 10 kW three-phase inverters. This work is supported by National Natural Science Foundation of China (No. 61972288), Welfare Technology Applied Research Project of Zhejiang Province (No. LGG20F030010), and Natural Science Foundation of Zhejiang Province (No. LZ16E050002). |
Key words: droop control strategy distributed generation units extremal optimization microgrid |