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作 者:Arif S.Malik Majid A.Al Umairi
机构地区:[1]the Electrical and Computer Engineering Department,Sultan Qaboos University,Al-Khod 123,Oman [2]Oman Electricity Transmission Company,Muscat,Oman [3]Electrical and Computer Engineering Department,Sultan Qaboos University,Al-Khod 123,Oman
出 处:《Journal of Modern Power Systems and Clean Energy》2024年第5期1643-1651,共9页现代电力系统与清洁能源学报(英文)
摘 要:This paper presents a novel method for accurately estimating the cumulative capacity credit(CCC)of renewable energy(RE)projects.Leveraging data from the main interconnected system(MIS)of Oman for 2028,where a substantial increase in RE generation is anticipated,the method is introduced alongside the traditional effective load carrying capability(ELCC)method.To ensure its robustness,we compare CCC results with ELCC calculations using two distinct standards of reliability criteria:loss of load hours(LOLH)at 24 hour/year and 2.4 hour/year.The method consistently gives accurate results,emphasizing its exceptional accuracy,efficiency,and simplicity.A notable feature of the method is its independence from loss of load probability(LOLP)calculations and the iterative procedures associated with analytic-based reliability methods.Instead,it relies solely on readily available data such as annual hourly load profiles and hourly generation data from integrated RE plants.This innovation is of particular significance to prospective independent power producers(IPPs)in the RE sector,offering them a valuable tool for estimating capacity credits without the need for sensitive generating unit forced outage rate data,often restricted by privacy concerns.
关 键 词:Effective load carrying capability renewable energy resource capacity credit generation system reliability loss of load probability
分 类 号:TM61[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]
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