Conventional generation emulation for power grids with a high penetration of wind power
作者机构:Electrical Power and Machines DepartmentFaculty of EngineeringHelwan UniversityCairoEgypt
出 版 物:《Clean Energy》 (清洁能源(英文))
年 卷 期:2021年第5卷第1期
页 面:93-103页
核心收录:
学科分类:08[工学] 0807[工学-动力工程及工程热物理]
主 题:wind energy planning analysis energy storage supercapacitor frequency stability
摘 要:Integrating large-scale wind plants with the electricity grids has many challenges for grid *** the variability and uncertainty of wind power,coordinating between different technologies of generation in the same grid can be considered the main problem,specifically for short-term frequency ***,a large penetration of wind power generation in modern power grids has a risky influence on the power-system ***-generation plants have contradictory behaviour compared to classic thermal plants,especially in active generated power-shortage events due to the variable nature of wind *** experience in wind plants keeps part of the available wind power unloaded,using what are known as deloading *** deloading techniques are usually applied to emulate the thermal-plant-governor function and confirm a proper spinning reserve for any active-power *** techniques decrease the generated power from wind plants continuously from maximum point tracking ***,the practical capacity,annual generated energy and economical income of wind plants are *** addition,grid-protection and control sub-schemes are set and designed according to the well-known conventional responses of thermal plants,which increase the need for thermal-plant-behaviour *** this paper,instead of the usual deloading methods,a supercapacitors scheme is proposed with wind turbines to emulate the response of conventional power *** study discusses the technical and economic benefits of the proposed addition of supercapacitors in the wind-plant-planning *** frequency grid-code indices are selected to evaluate studied *** results of the IEEE four-generation two-area system determines the effectiveness of suggested schemes *** System Advisor Model(SAM)program estimates the economic benefits of a typical US study case compared with the existing wind-deloading technique.