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Design and advanced control strategies of a hybrid energy storage system for the grid integration of wind power generations

机译:用于风力发电并网的混合储能系统的设计和高级控制策略

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Energy storage (ES) has become increasingly important in modern power system, whereas no single type of ES element can satisfy all diverse demands simultaneously. This study proposes a hybrid energy storage system (HESS) based on superconducting magnetic energy storage (SMES) and battery because of their complementary characteristics for the grid integration of wind power generations (WPG). This study investigates the mathematical model and the topology of the proposed HESS, which is equipped with a grid-side DC/AC converter, a battery buck/boost converter and a SMES DC chopper. The advanced control strategies comprised of device level and system level are designed. The control strategy for the converters which can be considered as device level is briefly discussed. The significant contribution of this study is proposing a novel system-level control strategy for reasonable and effective power allocation between SMES and battery. According to the control objectives, a fuzzy logic controller optimised with genetic algorithm is adopted. The detailed controller designs are described, meanwhile system stability and HESS operation performance are evaluated. MATLAB simulations are presented to demonstrate the effectiveness of the proposed strategies.
机译:储能(ES)在现代电力系统中变得越来越重要,而没有一种类型的ES元件可以同时满足所有不同的需求。这项研究提出了一种基于超导磁储能(SMES)和电池的混合储能系统(HESS),因为它们具有互补性,可用于风力发电(WPG)的电网集成。这项研究调查了提出的HESS的数学模型和拓扑,该HESS配备了电网侧DC / AC转换器,电池降压/升压转换器和SMES直流斩波器。设计了由设备级和系统级组成的高级控制策略。简要讨论了可以视为设备级的转换器的控制策略。这项研究的重大贡献是提出了一种新的系统级控制策略,以在SMES和电池之间合理有效地分配功率。根据控制目标,采用遗传算法优化的模糊逻辑控制器。描述了详细的控制器设计,同时评估了系统稳定性和HESS操作性能。提出了MATLAB仿真,以证明所提出策略的有效性。

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