Control of superconducting magnetic energy storage systems in grid-connected microgrids via memetic salp swarm algorithm: An optimal passive fractional-order PID approach
Control of superconducting magnetic energy storage systems in grid-connected microgrids via memetic salp swarm algorithm: An optimal passive fractional-order PID approach
复制标题
通过模因樽海鞘算法控制并网微电网中的超导磁能存储系统：一种最优的被动分数阶 PID 方法
DOI：
10.1049/iet-gtd.2019.1093
复制
发表时间：
2019
影响因子：
2.5
通讯作者：
Yu Tao
中科院分区：
文献类型：
--
作者：
Yang Bo;Yu Lei;Zhang Xiaoshun;Wang Junting;Shu Hongchun;Li Shengnan;He Tingyi;Yang Lei;Yu Tao
针对超导储能系统提出了一种最优无源分数阶比例积分微分（PFOPID）控制。首先，为SMES系统构造了存储功能。为了充分利用超导储能系统的物理特性，在控制器中预留了有利条件，同时为了进一步改善系统的动态响应，采用了分数阶PID（FOPID）结构作为附加输入。此外，采用模因salp群算法对控制增益进行优化和调整，在全局探索和局部开发之间实现适当的权衡，从而实现最优控制性能.研究了有功和无功供电、电网故障下系统恢复能力、随机可再生能源渗透下的电力支持以及系统参数不确定性的鲁棒性等案例，并分析了POFPID控制相对于PID控制的有效性和优势。对FOPID控制、基于互联的无源控制和基于阻尼分配的无源控制进行了全面的研究。最后，通过基于dSpace的硬件在环实验验证了PFOPID控制的可行性。
This study proposes an optimal passive fractional‐order proportional‐integral derivative (PFOPID) control for a superconducting magnetic energy storage (SMES) system. First, a storage function is constructed for the SMES system. Moreover, it has carefully reserved favourable terms for purpose of making full use of the physical properties of the SMES systems, while a fractional‐order PID (FOPID) structure is adopted as the attached input for purpose of further improving its dynamical responses. In addition, a memetic salp swarm algorithm is adopted to optimise and tune the control gains of the proposed method, which can achieve a suitable trade‐off between global exploration and local exploitation, so as to realise the optimal control performance. Case studies, e.g. (i) active and reactive power supply, (ii) system recovery capability under power grid fault, (iii) power support under the infiltration of random renewable energy and (iv) robustness of system parameter uncertainty is studied, and the availabilities and benefits of POFPID control over PID control, FOPID control and passive control based on interconnection and damping assignment passivity‐based control are comprehensively investigated. Lastly, the feasibility of PFOPID control is checked by hardware‐in‐the‐loop experiment based on a dSpace.