New typical power curves generation approach for accurate renewable distributed generation placement in the radial distribution system

Ali Tarraq, F. El Mariami, Abdelaziz Belfqih
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Abstract

This paper investigates, for the first time, the accuracy of normalized power curves (NPCs), often used to incorporate uncertainties related to wind and solar power generation, when integrating renewable distributed generation (RDG), in the radial distribution system (RDS). In this regard, the present study proposes a comprehensive, simple, and more accurate model, for estimating the expected hourly solar and wind power generation, by adopting a purely probabilistic approach. Actually, in the case of solar RDG, the proposed model allows the calculation of the expected power, without going through a specific probability density function (PDF). The validation of this model is performed through a case study comparing between the classical and the proposed model. The results show that the proposed model generates seasonal NPCs in a less complex and more relevant way compared to the discrete classical model. Furthermore, the margin of error of the classical model for estimating the expected supplied energy is about 12.6% for the photovoltaic (PV) system, and 9% for the wind turbine (WT) system. This introduces an offset of about 10% when calculating the total active losses of the RDS after two RDGs integration.
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径向配电系统中可再生分布式电源精确配置的新型典型功率曲线生成方法
本文首次研究了在径向配电系统(RDS)中整合可再生分布式发电(RDG)时,归一化功率曲线(npc)的准确性,该曲线通常用于纳入风能和太阳能发电相关的不确定性。在这方面,本研究提出了一个全面、简单和更准确的模型,用于估计每小时的预期太阳能和风能发电量,采用纯概率方法。实际上,在太阳能RDG的情况下,所提出的模型允许计算预期功率,而无需经过特定的概率密度函数(PDF)。通过对经典模型和所提模型的实例分析,验证了该模型的有效性。结果表明,与离散的经典模型相比,该模型以一种更简单、更相关的方式生成季节性npc。此外,经典模型估计光伏(PV)系统的期望供能的误差范围约为12.6%,风力发电机(WT)系统的误差范围约为9%。这在计算两个RDGs集成后RDS的总有功损耗时引入了约10%的偏移。
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来源期刊
International Journal of Electrical and Computer Engineering
International Journal of Electrical and Computer Engineering Computer Science-Computer Science (all)
CiteScore
4.10
自引率
0.00%
发文量
177
期刊介绍: International Journal of Electrical and Computer Engineering (IJECE) is the official publication of the Institute of Advanced Engineering and Science (IAES). The journal is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. The journal publishes original papers in the field of electrical, computer and informatics engineering which covers, but not limited to, the following scope: -Electronics: Electronic Materials, Microelectronic System, Design and Implementation of Application Specific Integrated Circuits (ASIC), VLSI Design, System-on-a-Chip (SoC) and Electronic Instrumentation Using CAD Tools, digital signal & data Processing, , Biomedical Transducers and instrumentation, Medical Imaging Equipment and Techniques, Biomedical Imaging and Image Processing, Biomechanics and Rehabilitation Engineering, Biomaterials and Drug Delivery Systems; -Electrical: Electrical Engineering Materials, Electric Power Generation, Transmission and Distribution, Power Electronics, Power Quality, Power Economic, FACTS, Renewable Energy, Electric Traction, Electromagnetic Compatibility, High Voltage Insulation Technologies, High Voltage Apparatuses, Lightning Detection and Protection, Power System Analysis, SCADA, Electrical Measurements; -Telecommunication: Modulation and Signal Processing for Telecommunication, Information Theory and Coding, Antenna and Wave Propagation, Wireless and Mobile Communications, Radio Communication, Communication Electronics and Microwave, Radar Imaging, Distributed Platform, Communication Network and Systems, Telematics Services and Security Network; -Control[...] -Computer and Informatics[...]
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