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首页> 外文期刊>Energy and power engineering >Optimal Allocation of a Hybrid Wind Energy-Fuel Cell System Using Different Optimization Techniques in the Egyptian Distribution Network
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Optimal Allocation of a Hybrid Wind Energy-Fuel Cell System Using Different Optimization Techniques in the Egyptian Distribution Network

机译:利用埃及分配网络不同优化技术的混合风能 - 燃料电池系统的最佳分配

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This paper presents an optimal proposed allocating procedure for hybrid wind energy combined with proton exchange membrane fuel cell (WE/PEMFC) system to improve the operation performance of the electrical distribution system (EDS). Egypt has an excellent wind regime with wind speeds of about 10 m/s at many areas. The disadvantage of wind energy is its seasonal variations. So, if wind power is to supply a significant portion of the demand, either backup power or electrical energy storage (EES) system is needed to ensure that loads will be supplied in reliable way. So, the hybrid WE/PEMFC system is designed to completely supply a part of the Egyptian distribution system, in attempt to isolate it from the grid. However, the optimal allocation of the hybrid units is obtained, in order to enhance their benefits in the distribution networks. The critical buses that are necessary to install the hybrid WE/ PEMFC system, are chosen using sensitivity analysis. Then, the binary Crow search algorithm (BCSA), discrete Jaya algorithm (DJA) and binary particle swarm optimization (BPSO) techniques are proposed to determine the optimal operation of power systems using single and multi-objective functions (SOF/MOF). Then, the results of the three optimization techniques are compared with each other. Three sensitivity factors are employed in this paper, which are voltage sensitivity factor (VSF), active losses sensitivity factor (ALSF) and reactive losses sensitivity factor (RLSF). The effects of the sensitivity factors (SFs) on the SOF/MOF are studied. The improvement of voltage profile and minimizing active and reactive power losses of the EDS are considered as objective functions. Backward/forward sweep (BFS) method is used for the load flow calculations. The system load demand is predicted up to year 2022 for Mersi-Matrouh City as a part of Egyptian distribution network, and the design of the hybrid WE/PEMFC system is applied. The PEMFC system is de-signed considering simplified mathematical expressions. The economics of operation of both WE and PEMFC system are also presented. The results prove the capability of the proposed procedure to find the optimal allocation for the hybrid WE/PEMFC system to improve the system voltage profile and to minimize both active and reactive power losses for the EDS of Mersi-Ma-trough City.
机译:本文介绍了混合风能的最佳建议分配过程,用于改善质子交换膜燃料电池(WE / PEMFC)系统,以改善配电系统(EDS)的运行性能。埃及有一个出色的风力制度,风速约为10米/秒。风能的缺点是其季节性变化。因此,如果风电是提供大部分需求的情况,则需要备用电源或电能存储(EES)系统以确保负载将以可靠的方式提供。因此,Hybrid WE / PEMFC系统旨在完全提供埃及分配系统的一部分,以便将其与网格隔离。然而,获得了混合单元的最佳分配,以提高其在分配网络中的益处。使用灵敏度分析选择安装混合300 / PEMFC系统所需的临界总线。然后,提出了二进制乌鸦搜索算法(BCSA),离散Jaya算法(DJA)和二进制粒子群优化(BPSO)技术,以确定使用单个和多目标函数(SOF / MOF)的电力系统的最佳运行。然后,将三种优化技术的结果彼此进行比较。本文采用了三种灵敏度因子,这是电压敏感性因子(VSF),主动损失灵敏度因子(ALSF)和反应性损耗灵敏度因子(RLSF)。研究了灵敏度因子(SFS)对SOF / MOF的影响。电压曲线的改进和最小化EDS的主动和无功功率损耗被认为是目标函数。向后/前扫描(BFS)方法用于负载流量计算。系统负荷需求预测到Mersi-Matrouh市的2022年作为埃及分销网络的一部分,应用了混合的设计。考虑到简化的数学表达式,将签署PEMFC系统。还提出了WE和PEMFC系统的经济学。结果证明了所提出的程序能够找到混合动力WE / PEMFC系统的最佳分配,以改善系统电压分布,并最大限度地减少MERSI-MA-TROUGE CITY的EDS的主动和无功损耗。

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