利用模糊萤火虫优化增强分布式发电机的配电系统灵活性和规划性

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
S. Anbuchandran, S. T. Jaya Christa, S. Kannan, A. Bhuvanesh
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引用次数: 0

摘要

传统电网在配电过程中会损失大量能源。分布式发电(DG)技术提供了一种前景广阔的解决方案,即在靠近需求中心的地方引入小型电源。这些本地化电源可减轻集中式发电厂的一定压力,从而减少输电损耗。然而,DG 的大小和现场布置不当会带来技术挑战、经济弊端和环境问题。从历史上看,为可再生能源发电机确定最佳地点和容量的过程给电网运营商带来了巨大的计算挑战,加重了他们的工作量。然而,先进的优化软件的出现彻底改变了这一任务,为电网运营商在复杂的电网管理中提供了更高效、更易于管理的解决方案。本研究利用模糊化萤火虫优化(FFO)算法来提高配电系统中分布式发电机(DG)的分配效率。通过对不同类型的分布式发电机进行战略布局,FFO 战略的目标是最大限度地减少实际和无功功率损耗。随后,研究评估了这一优化对关键系统性能指标的影响。为了衡量该方法在不同负载条件下的有效性,研究将不同类型的 DG 集成到 IEEE 85 总线测试系统中,并进行了从低于额定值(0.5)到高于额定值(1.5)负载容量的模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Enhancing Distribution System Pliability and Planning with Distributed Generators Using Fuzzy Firefly Optimization

Enhancing Distribution System Pliability and Planning with Distributed Generators Using Fuzzy Firefly Optimization

Traditional power grids experience significant energy loss during distribution. Distributed generation (DG) technologies offer a promising solution by introducing smaller power sources closer to demand centers. These localized sources relieve a certain pressure on centralized power plants that reduces transmission losses. However, improper sizing and on-site placement of DGs can cause technical challenges, economic drawbacks, and environmental concerns. Historically, the process of identifying optimal sites and capacities for DGs has presented grid operators with formidable computational challenges, intensifying their workload. Nonetheless, the advent of sophisticated optimization software has revolutionized this task, offering a more efficient and manageable solution for operators navigating the complexities of grid management. This research deals the utilization of a fuzzified firefly optimization (FFO) algorithm to enhance the allocation of distributed generators (DGs) within a distribution system. Through strategic placement of diverse DG types, the FFO strategy targets the minimization of both real and reactive power losses. Subsequently, the study assesses the influence of this optimization on critical system performance metrics. To gauge the efficacy of the approach across varied load conditions, the investigation integrates different DG types into an IEEE 85-bus test system and conducts simulations spanning from below-rated (0.5) to above-rated (1.5) load capacities.

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来源期刊
Journal of Electrical Engineering & Technology
Journal of Electrical Engineering & Technology ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
4.00
自引率
15.80%
发文量
321
审稿时长
3.8 months
期刊介绍: ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies. The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.
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