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首页> 外文期刊>Batteries >Optimized Fuzzy-Cuckoo Controller for Active Power Control of Battery Energy Storage System, Photovoltaic, Fuel Cell and Wind Turbine in an Isolated Micro-Grid
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Optimized Fuzzy-Cuckoo Controller for Active Power Control of Battery Energy Storage System, Photovoltaic, Fuel Cell and Wind Turbine in an Isolated Micro-Grid

机译：优化的模糊杜鹃控制器，用于隔离微电网中的电池储能系统，光伏，燃料电池和风力涡轮机的有功功率控制

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This paper presents a new control strategy for isolated micro-grids including wind turbines (WT), fuel cells (FC), photo-voltaic (PV) and battery energy storage systems (BESS). FC have been used in parallel with BESSs in order to increase their lifetime and efficiency. The changes in some parameters such as wind speed, sunlight, and consumption, lead to improper performance of droop. To overcome this challenge, a new intelligent method using a combination of fuzzy controller and cuckoo optimization algorithm (COA) techniques for active power controllers in isolated networks is proposed. In this paper, COA is compared with genetic algorithm (GA) and particles swarm optimization algorithm (PSO). In order to show efficiency of the proposed controller, this optimal controller has been compared with droop, optimized droop, and conventional fuzzy methods, the dynamic analysis of the island is implemented to assess the behavior of isolated generations accurately and simulation results are reported.
机译：本文为隔离的微电网提出了一种新的控制策略，包括风力涡轮机（WT），燃料电池（FC），光伏（PV）和电池储能系统（BESS）。 FC已与BESS并行使用，以延长其使用寿命和效率。风速，阳光和消耗等某些参数的变化会导致下垂性能下降。为了克服这一挑战，提出了一种将模糊控制器和布谷鸟优化算法（COA）技术相结合的智能方法，用于隔离网络中的有源功率控制器。本文将COA与遗传算法（GA）和粒子群优化算法（PSO）进行了比较。为了显示所提出控制器的效率，该最优控制器已与下垂，优化下垂和常规模糊方法进行了比较，对孤岛进行了动态分析，以准确评估孤立发电的行为，并报告了仿真结果。

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