Techno-economic comparison of different hybrid energy storage systems for off-grid renewable energy applications based on a novel probabilistic reliability index

被引:37
作者
He, Yi [1 ]
Guo, Su [2 ]
Dong, Peixin [3 ]
Wang, Chen [1 ]
Huang, Jing [2 ]
Zhou, Jianxu [1 ]
机构
[1] Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210024, Peoples R China
[2] Hohai Univ, Coll Energy & Elect Engn, Nanjing 211000, Peoples R China
[3] Hong Kong Polytech Univ, Dept Mech Engn, Hong Kong, Peoples R China
关键词
Hybrid energy storage system; Techno-economic comparison; Probability of exceedance; Operating threshold; Optimal planning; Multi-objective optimization; WIND POWER; BATTERY; OPTIMIZATION; SOLAR; INTEGRATION; STRATEGIES; ALGORITHM; COST;
D O I
10.1016/j.apenergy.2022.120225
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The application of energy storage technologies is crucial to the extensive exploitation of renewable energy for power generation in off-grid areas because energy storage can mitigate the intermittency of renewables and balance the supply-demand mismatch. A hybrid energy storage system (HESS) with two or more heterogenous and supplementary energy storages outperforms single energy storage from the perspective of reliability and cost-effectiveness, but how to select the optimal HESS configuration is still unknown. To this end, this paper investigates the techno-economic comparison of ten HESSs in off-grid renewable energy system applications, including all pairwise combinations of thermal energy storage, pumped hydro storage, hydrogen storage, battery, and supercapacitor. Moreover, a novel probabilistic reliability index called loss of power supply probability with probability of exceedance (LPSP-PoE) is proposed to quantitatively handle the long-term uncertainties of renewable energy resources. The rule-based coordinated energy management strategies considering the charging/discharging priority and optimized operating thresholds are established for different HESSs, and then the multi-objective optimization models aiming to minimize net present cost and LPSP-PoE are developed to search the optimal components sizing and operating thresholds simultaneously. Finally, the results of case studies show that: (1) the optimal net present cost of thermal energy storage-battery at the highest reliability level is 3.3472 billion USD, which is 6.98 %-69.85 % lower than the figure for other HESSs, indicating that thermal energy storage-battery is the most cost-effective HESS configuration; (2) The optimal charging/discharging priority can lead to 29.6 %-75.2 % cost reduction, and the optimal operating thresholds can always achieve the lowest LPSP, illustrating the superiority of the proposed operation strategies; (3) the techno-economic perfor-mance of all HESSs varies significantly with the PoE level and load profile, while their rankings remain basically unchanged, showing the robustness of the comparison results.
引用
收藏
页数:20
相关论文
共 53 条
[1]   A statistical approach for hybrid energy storage system sizing based on capacity distributions in an autonomous PV/Wind power generation system [J].
Abbassi, Abdelkader ;
Dami, Mohamed Ali ;
Jemli, Mohamed .
RENEWABLE ENERGY, 2017, 103 :81-93
[2]   Optimized energy management strategy for grid connected double storage (pumped storage-battery) system powered by renewable energy resources [J].
Abdelshafy, Alaaeldin M. ;
Jurasz, Jakub ;
Hassan, Hamdy ;
Mohamed, Abdelfatah M. .
ENERGY, 2020, 192 (192)
[3]   An integrated photovoltaic/wind/biomass and hybrid energy storage systems towards 100% renewable energy microgrids in university campuses [J].
Al-Ghussain, Loiy ;
Ahmad, Adnan Darwish ;
Abubaker, Ahmad M. ;
Mohamed, Mohamed A. .
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2021, 46
[4]   Hybrid energy storage approach for renewable energy applications [J].
Bocklisch, Thilo .
JOURNAL OF ENERGY STORAGE, 2016, 8 :311-319
[5]   Electric System Cascade Extended Analysis for optimal sizing of an autonomous hybrid CSP/PV/wind system with Battery Energy Storage System and thermal energy storage [J].
Chennaif, Mohammed ;
Zahboune, Hassan ;
Elhafyani, Mohammed ;
Zouggar, Smail .
ENERGY, 2021, 227
[6]   Hybrid energy storage systems and control strategies for stand-alone renewable energy power systems [J].
Chong, Lee Wai ;
Wong, Yee Wan ;
Rajkumar, Rajprasad Kumar ;
Rajkumar, Rajpartiban Kumar ;
Isa, Dino .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 66 :174-189
[7]   A fast and elitist multiobjective genetic algorithm: NSGA-II [J].
Deb, K ;
Pratap, A ;
Agarwal, S ;
Meyarivan, T .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) :182-197
[8]   Design optimization of a hybrid system subject to reliability level and renewable energy penetration [J].
Ghaffari, Abolfazl ;
Askarzadeh, Alireza .
ENERGY, 2020, 193 :416-427
[9]   Novel optimization algorithm for the power and energy management and component sizing applied to hybrid storage-based photovoltaic household-prosumers for the provision of complementarity services [J].
Gomez-Gonzalez, M. ;
Hernandez, J. C. ;
Vidal, P. G. ;
Jurado, F. .
JOURNAL OF POWER SOURCES, 2021, 482
[10]  
GUEZGOUZ M, 2021, SUSTAINABLE ENERGY T, V44