Optimal location and sizing for PV system and battery energy storage system using ABC algorithm considering voltage deviation and time of use rate

2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2017-10-01 DOI:10.1109/ICITEED.2017.8250483

Arnuphap Meechaka, A. Sangswang, K. Kirtikara, D. Chenvidhya

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引用次数: 10

Abstract

This paper presents the optimal location and sizing for photovoltaic (PV) and battery energy storage (BESS) with pV 220 kWp on King Mongkut's University of Technology Thonburi, Bangkhunthian Campus (KMUTT BKT) 13 bus system. By using Artificial Bee Colony Algorithm (ABC) to find the optimal PV and battery size considering Time of use Rate (TOU) and using Time Sweep Mode in DlgSILENT Power factory to get the optimal location focus on voltage deviation of the system by defining scenario that may happen to the system in the future. The PV installation on the limited rooftop area of the building and Net Present Value NPV are considered for optimal sizing. The results show that the system with optimal location and sizing of PV and battery energy storage lead to system voltage difference from 85.64% to 4.13%, efficient energy usage, save energy cost 23.74% per year and reduce power transmission line loss from utility grid to KMUTT BKT.

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考虑电压偏差和使用率的ABC算法对光伏系统和蓄电池储能系统的最优选址和规模进行了优化

本文介绍了光伏(PV)和电池储能(BESS)的最佳位置和尺寸，PV为220千瓦时，在蒙库特国王科技大学通武里，曼谷校区(KMUTT BKT) 13总线系统。采用人工蜂群算法(ABC)在考虑TOU (Time of use Rate)的情况下寻找最优PV和电池尺寸，并在DlgSILENT电厂中采用时间扫描模式，通过定义系统未来可能发生的场景，以系统电压偏差为中心得到最优位置。考虑了建筑屋顶有限面积的光伏安装和净现值NPV的最优规模。结果表明:光伏与电池储能位置和规模优化后，系统电压差从85.64%降低到4.13%，能源利用效率提高，每年节约能源成本23.74%，减少了从公用电网到KMUTT BKT的输电线路损耗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)

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