...
首页> 外文期刊>Sustainable Energy Technologies and Assessments >Hosting capacity enhancement of renewable-based distributed generation in harmonically polluted distribution systems using passive harmonic filtering
【24h】

Hosting capacity enhancement of renewable-based distributed generation in harmonically polluted distribution systems using passive harmonic filtering

机译:使用被动谐波滤波托管在和谐分布系统中可再生基础的分布式生成的能力增强

获取原文
获取原文并翻译 | 示例
           

摘要

In spite of being economically viable for numerous applications, renewable energy cannot realise its true penetration potential until some of the barriers are not tackled with excellence. Such barriers are harmonic distortion, distribution cable's ampacity and voltage rise limits, those put bound on the maximum allowable penetration level of renewable energy. This paper formulates the enhancement of power quality-constrained hosting capacity (HC) as a multi-objective optimization (MOO) problem under several constraints of system's performance indices (PIs). The considered performance indices are individual order and total harmonic distortion in the line current and point of common coupling (PCC)'s voltage, load power factor (PF), distribution line's ampacity and steady-state voltage profile. In the formulated multi-objective optimization model, an optimal design of a third-order damped filter and size of the distributed generation (DG) unit is simultaneously determined for achieving maximum hosting capacity and power factor at the PCC while keeping system's other indices such as total voltage harmonic distortion (TVHD) and total filter cost (FC) incurred at a minimum by obtaining a best-compromised solution using the newly proposed Pareto-based multi-objective firefly algorithm (MOFA). The extension of the multi-objective firefly algorithm is considered for producing the Pareto optimal front and various conclusions are drawn by analysing the trade-offs among the objectives by plotting the same on different 2-axis planes. The optimization efficiency and superiority of the proposed multi-objective firefly algorithm based hosting capacity enhancement approach is validated by comparing the results with those obtained by popular multi-objective PSO (MOPSO) and non-dominated sorting genetic algorithm (NSGA-II) under similar objectives. Also, the results of the proposed methodology are compared with those achieved from one of the most recently introduced hosting capacity enhancement approaches in literature. Eventually, the impacts of different background voltage distortion (BVD) levels and load-side's nonlinearity levels (NLLs) on filter performance, particularly filter cost as well as enhanced hosting capacity, are analysed and various conclusions are drawn.
机译:尽管对许多应用具有经济可行的可行性,可再生能源不能实现其真正的渗透潜力,直到一些障碍没有卓越。这种障碍是谐波失真,分配电缆的余地和电压上升限制,这些屏障绑定了可再生能源的最大允许穿透水平。本文在系统性能指数(PIS)的若干约束下,制定了电力质量约束托管能力(HC)作为多目标优化(MOO)问题的增强。所考虑的性能指标是单个顺序和总谐波失真,在线电流和共用点(PCC)的电压,负载功率因数(PF),分配线的性能和稳态电压曲线。在配制的多目标优化模型中,同时确定三阶阻尼过滤器和分布式生成(DG)单元的尺寸的最佳设计,以实现PCC的最大托管能力和功率因数,同时保持系统的其他索引,例如通过使用新提出的基于帕累托的多目标萤火虫算法(MOFA)获得最佳损坏的解决方案,总电压谐波失真(TVHD)和总滤波器成本(FC)最小,通过获得最佳的解决方案。考虑了多目标萤火虫算法的扩展,用于制造帕累托最佳正面,通过在不同的2轴平面上绘制相同来分析目标之间的权衡来绘制各种结论。通过将由流行的多目标PSO(MOPSO)获得的结果进行比较,验证了基于多目标萤火虫算法的基于多目标萤火虫算法的优化效率和优越性通过与类似的多目标PSO(MOPSO)和非主导的分类遗传算法(NSGA-II)获得的结果进行了比较目标。此外,将所提出的方法的结果与最近引入的文献中最近引入的托管能力增强方法之一进行了比较。最终,分析了不同背景电压失真(BVD)水平和负载侧的非线性水平(NLLS)对滤波器性能,特别是过滤成本以及增强的托管能力的影响,并绘制了各种结论。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号