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首页> 外文期刊>Electric power systems research >Modified moth-Flame optimization for strategic integration of fuel cell in renewable active distribution network
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Modified moth-Flame optimization for strategic integration of fuel cell in renewable active distribution network

机译：改进的蛾火焰优化，可再生主动分配网络燃料电池战略集成

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摘要

In this article, a novel bi-layer optimization model is proposed for strategic accommodation of fuel cell (FC) in an active distribution network (ADN) that consists of wind turbines and photovoltaic modules. The foremost objective of the proposed model is to maximize the renewable power hosting potential of the distribution system. In outward-layer of the bi-layer optimization model, a vital multi-objective function is broached to assist the daily challenges of ancillary services. The objectives considered are minimizing the annual energy loss of the network, node voltage deviation, inverse power flow, demand deviation and conversion losses for battery energy storage system (BESS) connected with FC. Further, a modified version of moth flame optimization (MFO) is also proposed by overcoming a few limitations observed in its traditional variant. The proposed modification has enhanced the exploration and exploitation potential of MFO such that, their correct balance seeks the global optima. The presented modification is validated before applying it to the proposed simulation model. The proposed modified MFO is deployed to determine the optimization elements of the outward-layer. These are the details related to DERs accommodation. Whereas, a heuristic approach is proposed to solve the inward-layer optimization model designed to determine the optimal hourly power dispatch by BESS connected to FC, as per size suggested by outward-layer. The approach is designed to minimize the considered objectives i.e. annual energy losses and inverse power flow. To exhibit the competency of the proposed model, it is implemented on 33 and 108-bus balance distribution systems for numerous test cases. The resemblance of simulation obtain results reveals the inspirational dominance of the proposed optimization model. Further, the modified variant of MFO is found very effective to enhance the performance of ADN.
机译：在本文中，提出了一种新的双层优化模型，用于在由风力涡轮机和光伏模块组成的主动分配网络（ADN）中的燃料电池（FC）的战略容纳。所提出的模型的最重要目标是最大化分配系统的可再生能源托管电位。在双层优化模型的外层中，一个重要的多目标函数被推动，以协助辅助服务的日常挑战。考虑的目标最小化了与FC连接的电池能量存储系统（BESS）的网络，节点电压偏差，逆功率流，需求偏差和转换损耗。此外，还通过克服在其传统变体中观察到的几个限制来提出修改的蛾火焰优化（MFO）。建议的修改增强了MFO的探索和开发潜力，使其正确的余额寻求全球最优。在将其应用于所提出的仿真模型之前，验证了修改。部署所提出的修改后的MFO以确定外层的优化元素。这些是与DER住宿有关的详细信息。然而，提出了一种启发式方法来解决内向层优化模型，该内向层优化模型旨在通过向外图层建议的尺寸来确定通过连接到FC的最佳小时功率调度。该方法旨在最大限度地减少所考虑的目标I.E.年度能量损失和逆电流。为了展示所提出的模型的能力，它在33和108公交总线平衡分布系统中实现了许多测试用例。仿真的相似性获得结果揭示了所提出的优化模型的鼓舞人心的优势。此外，发现MFO的改性变体非常有效地增强ADN的性能。

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