基于克里格的代理建模用于微电网分数阶控制
Kriging based Surrogate Modeling for Fractional Order Control of Microgrids
AI总结：
本文研究了分数阶控制器在微电网中的应用，采用克里格代理建模技术优化分数阶PID参数，通过数值模拟验证了方法的有效性，并与传统进化优化技术进行比较。
摘要：
本文研究了分数阶控制器在微电网中的应用，微电网包含多种自主发电系统，如风力涡轮机发电机（WTG）、太阳能光伏（PV）、柴油发电机（DEG）和燃料电池（FC）。其他储能设备如电池储能系统（BESS）和飞轮储能系统（FESS）也存在于电力网络中。采用分数阶控制策略，并利用全局优化算法调整分数阶PID控制器参数以满足系统性能要求。采用基于克里格的代理建模技术以缓解优化控制器调优过程中目标函数评估成本高的问题。通过数值模拟验证了所提方法的有效性。并比较了分数阶和整数阶控制器的结果与传统进化优化技术，讨论了基于克里格的代理建模的优缺点。这种优化技术不仅适用于微电网控制的特定案例，也可应用于其他计算成本较高的电力系统优化问题。
英文摘要：
This paper investigates the use of fractional order (FO) controllers for a microgrid. The microgrid employs various autonomous generation systems like wind turbine generator (WTG), solar photovoltaic (PV), diesel energy generator (DEG) and fuel-cells (FC). Other storage devices like the battery energy storage system (BESS) and the flywheel energy storage system (FESS) are also present in the power network. An FO control strategy is employed and the FO-PID controller parameters are tuned with a global optimization algorithm to meet system performance specifications. A kriging based surrogate modeling technique is employed to alleviate the issue of expensive objective function evaluation for the optimization based controller tuning. Numerical simulations are reported to prove the validity of the proposed methods. The results for both the FO and the integer order (IO) controllers are compared with standard evolutionary optimization techniques and the relative merits and demerits of the kriging based surrogate modeling are discussed. This kind of optimization technique is not only limited to this specific case of microgrid control but also can be ported to other computationally expensive power system optimization problems.
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