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作 者:Su Guo Aynur Kurban Yi He Feng Wu Huanjin Pei Guotao Song
机构地区:[1]the School of Energy and Electricity,Hohai University,Nanjing 211100,China
出 处:《CSEE Journal of Power and Energy Systems》2023年第6期2144-2155,共12页中国电机工程学会电力与能源系统学报(英文)
基 金:the National Key Research and Development Program of China 2018YFE0128500;the Fundamental Research Funds for the Central Universities of China under Grant B210202069.
摘 要:More and more attention has been paid to the high penetration of renewable energy in recent years.The randomness and intermittency of solar and wind energy make it an inevitable trend that renewables are coupled with energy storage technologies.Pumped hydro storage(PHS)is the most widelyused storage form in the power grid but the capacity is limited by geographic conditions.The concentrated solar power(CSP)plant with a thermal energy storage(TES)system can realize easier grid connections and effective peak shaving.Therefore,this paper proposes a solar-wind-hydro hybrid power system with PHS-TES double energy storages,and investigates the optimal coordinated operational strategy and multi-objective sizing.The optimal sizing problem which considers the minimum levelized cost of energy(LCOE)and loss of power supply probability(LPSP)as objectives is solved by multi-objective particle swarm optimization.Moreover,the seasonal uncertainties of renewables are considered by applying a scenario-based analysis using Kmeans clustering.Finally,a case study reveals the effectiveness of the coordinated operational strategy and double energy storages from the perspectives of economy and reliability.The comparisons of optimal sizing results show that the PV-WindCSP-PHS system decreases the LCOE by 19.1%compared to a PV-Wind-CSP system under the same LPSP,and reduces the LPSP compared to PV-Wind-PHS systems with limited reservoir capacity,which indicates that the proposed system with double energy storages has better economy and reliability performance compared to single storage.
关 键 词:Coordinated operation strategy double energy storages hybrid renewable energy system multi-objective sizing optimization solar-wind-hydro
分 类 号:TM612[电气工程—电力系统及自动化] P742[天文地球—海洋科学]
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