电池储能并网太阳能光伏系统能量调度新算法

F. Slama, H. Radjeai, Souhil MOUASSA, A. Chouder
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引用次数: 7

摘要

目的。近十年来,电网能源管理系统(EMS)问题受到了学术界和电力公司的特别关注。针对光伏并网系统与储能系统相结合时光伏电源的间歇性影响电网稳定性的特点,提出了一种新的光伏并网系统的EMS算法。在仿真模型中,光伏系统和储能系统连接在同一直流母线上,EMS根据预先确定的光伏功率水平控制从光伏发电机组到电网的功率流。在PV功率小于预定义阈值的情况下,能量存储在电池组中,将在峰值能量需求(PED)时间使用。否则,它将继续向主电网供电。所提出工作的新颖之处在于一种新的算法(智能算法),该算法能够根据历史消费数据确定在电池,太阳能光伏和主电网之间切换的最合适(最佳)时间,并确定在高峰需求期间注入的最优储能量。方法。在Matlab R2010a平台上实现了该问题的解决方案,并在具有2.5 GHz处理器和4gb RAM的笔记本电脑上进行了仿真。结果。仿真结果表明,该模型以最优的方式调度开关的开/关时间,从而实现对电力电路的绝对控制,即在不影响用户舒适度的情况下在峰值进行精确适应。此外,还可以从所开发的方案中直接得到其他有用的结果。因此,与其他改进技术相比,结果证实了所提出策略的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Algorithm for Energy Dispatch Scheduling of Grid-Connected Solar Photovoltaic System with Battery Storage System
Purpose. In last decade the problem of energy management system (EMS) for electric network has received special attention from academic researchers and electricity companies. In this paper, a new algorithm for EMS of a photovoltaic (PV) grid connected system, combined to an storage system is proposed for reducing the character of intermittence of PVs power which infect the stability of electric grid. In simulation model, the PV system and the energy storage system are connected to the same DC bus, whereas EMS controls the power flow from the PV generator to the grid based on the predetermined level of PV power. In the case where the PV power is less than the predefined threshold, energy is stored in the batteries banc which will be employed in the peak energy demand (PED) times. Otherwise, it continues to feed the principal grid. The novelty of the proposed work lies in a new algorithm (smart algorithm) able to determine the most suitable (optimal) hours to switching between battery, Solar PVs, and principal grid based on historical consumption data and also determine the optimal amount of storage energy that be injected during the peak demand. Methods. The solution of the problem was implemented in the Matlab R2010a Platform and the simulation conducted on Laptop with a 2.5 GHz processor and 4 GB RAM. Results. Simulation results show that the proposed model schedules the time ON/OFF of the switch in the most optimal way, resulting in absolute control of power electric path, i.e. precise adaptation at the peak without compromising consumers comfort. In addition, other useful results can be directly obtained from the developed scheme. Thus, the results confirm the superiority of the proposed strategy compared to other improved techniques.
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