Systematic development and application of a fuzzy logic equipped generic energy storage system for dynamic stability reinforcement,International Journal of Energy Research

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Systematic development and application of a fuzzy logic equipped generic energy storage system for dynamic stability reinforcement
International Journal of Energy Research ( IF 4.3 ) Pub Date : 2020-06-23 , DOI: 10.1002/er.5606
Hailiya Ahsan ₁ , Mairaj‐ud Din Mufti ₁

Affiliation

Even though fuzzy logic has been tremendously utilized in power systems, it has often been termed as far from complete due to the in‐existence of a systematic procedure. Here, we report a systematic development and application of a fuzzy logic equipped generic energy storage system (GESS) for dynamic stability reinforcement in a conglomerate power system. While ensuring a stabilizing performance by minimizing a quadratic stability index, the reactive and real‐power trajectories of GESS are determined. The proposed control strategy is optimized offline using a genetic algorithm (GA) optimization and cast with mixed integer programming mathematics to dispatch an optimal template of series weights, grades of membership and decisive fuzzy rules. The dynamic behavior of the dc link is also assimilated in the detailed GESS modeling using cascaded proportional‐integral controllers. A perspective of a combination of flywheel energy storage system and superconducting magnetic energy storage is traversed by approximating the inherent loop dynamics of the storages by a GA‐tuned first‐order system. The role of the said storage devices in manifestation of exogenous wind power intermittency as well as concentrated short circuits is investigated. A wind farm integrated, reoriented form of an exemplar multibus network is adopted as the model system to authenticate the potency of the presented control strategy.

中文翻译：

装备有模糊逻辑的通用储能系统的系统开发与应用

尽管模糊逻辑已在电力系统中得到了极大的利用，但由于系统性程序的不存在，人们常常将其称为不完整的逻辑。在这里，我们报告了装备模糊逻辑的通用能量存储系统（GESS）的系统开发和应用，该系统用于增强集团电力系统中的动态稳定性。在通过最小化二次稳定性指数确保稳定性能的同时，确定了GESS的无功和有功功率轨迹。所提出的控制策略是使用遗传算法（GA）进行离线优化的，并使用混合整数规划数学进行转换，以分配一系列权重，隶属度和决定性模糊规则的最优模板。使用级联比例积分控制器在详细的GESS建模中也可以吸收直流链路的动态行为。飞轮储能系统和超导磁储能组合的透视图是通过GA调谐的一阶系统近似储能器的固有回路动力学来实现的。研究了所述存储设备在外来风力发电间歇性以及集中短路表现中的作用。以风电场集成的，经过重新定向的示例多总线网络形式作为模型系统，以验证所提出的控制策略的有效性。飞轮储能系统和超导磁储能组合的透视图是通过GA调谐的一阶系统近似储能器的固有回路动力学来实现的。研究了所述存储设备在外来风力发电间歇性以及集中短路表现中的作用。示范性多总线网络的风电场集成，重新定向形式被用作模型系统，以验证所提出的控制策略的有效性。飞轮储能系统和超导磁储能组合的透视图是通过GA调谐的一阶系统近似储能器的固有回路动力学来实现的。研究了所述存储设备在外来风力发电间歇性以及集中短路表现中的作用。示范性多总线网络的风电场集成，重定向形式被用作模型系统，以验证所提出的控制策略的有效性。

更新日期：2020-06-23

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