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Fractional Order AGC for Distributed Energy Resources Using Robust Optimization

机译：鲁棒优化的分布式能源分数阶AGC

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摘要

The applicability of fractional order (FO) automatic generation control (AGC) for power system frequency oscillation damping is investigated in this paper, employing distributed energy generation. The hybrid power system employs various autonomous generation systems like wind turbine, solar photovoltaic, diesel engine, fuel-cell, and aqua electrolyzer, along with other energy storage devices like the battery and flywheel. The controller is placed in a remote location while receiving and sending signals over an unreliable communication network with stochastic delay. The controller parameters are tuned using robust optimization techniques employing different variants of particle swarm optimization and are compared with the corresponding optimal solutions. An archival-based strategy is used for reducing the number of function evaluations for the robust optimization methods. The solutions obtained through the robust optimization are able to handle higher variation in the controller gains and orders without significant decrease in the system performance. This is desirable from the FO controller implementation point of view, as the design is able to accommodate variations in the system parameter, which may result due to the approximation of FO operators using different realization methods and order of accuracy. Also a comparison is made between the FO and the integer order controllers to highlight the merits and demerits of each scheme.
机译：本文研究了分数阶（FO）自动发电控制（AGC）在电力系统频率振荡阻尼中的适用性，并采用了分布式能源发电。混合动力系统采用各种自主发电系统，例如风力涡轮机，太阳能光伏发电，柴油发动机，燃料电池和水电解槽，以及其他储能设备，例如电池和飞轮。控制器放置在远程位置，同时通过不可靠的通信网络以随机延迟接收和发送信号。控制器参数使用鲁棒的优化技术进行了调整，这些技术采用了不同的粒子群优化方法，并与相应的最优解进行了比较。基于归档的策略用于减少健壮的优化方法的功能评估次数。通过鲁棒性优化获得的解决方案能够处理控制器增益和阶数的较大变化，而不会显着降低系统性能。从FO控制器实现的角度来看，这是理想的，因为该设计能够适应系统参数的变化，这可能是由于使用不同的实现方法和精度顺序逼近FO操作员而导致的。还对FO和整数阶控制器进行了比较，以突出每种方案的优缺点。

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