Optimal probabilistic scenario-based operation and scheduling of prosumer microgrids considering uncertainties of renewable energy sources

被引:47
作者
Faraji, Jamal [1 ]
Hashemi-Dezaki, Hamed [2 ]
Ketabi, Abbas [1 ,2 ]
机构
[1] Univ Kashan, Energy Res Inst, Kashan, Iran
[2] Univ Kashan, Dept Elect & Comp Engn, 6 Km Ghotbravandi Blvd, Kashan 8731753153, Iran
关键词
differential evolution algorithm (DEA); k-means algorithm; k-medoids algorithm; Monte Carlo simulation (MCS); optimal scenario-based operation and scheduling; prosumer microgrids (PMGs); scenario reduction method; uncertainty; CYBER-POWER INTERDEPENDENCIES; DISTRIBUTION NETWORKS; ELECTRICITY-GENERATION; STORAGE SYSTEMS; COST REDUCTION; LOAD DISPATCH; MONTE-CARLO; WIND; MANAGEMENT; OPTIMIZATION;
D O I
10.1002/ese3.788
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
Uncertainties of renewable energy sources (RESs) such as wind turbine (WT) and photovoltaic (PV) units are one of the considerable challenges of prosumer microgrids (PMGs) for the optimal day-ahead operation. In this study, a new probabilistic scenario-based method of optimal scheduling and operation of PMGs is developed. In this regard, different scenarios are generated using Monte Carlo Simulations (MCS). Furthermore, k-means, k-medoids, and differential evolution algorithms (DEA) are deployed to cluster the scenarios in the proposed method. A realistic commercial PMG in Iran is selected to apply the introduced method. The validity of the developed probabilistic optimization method for PMG operation is examined by comparing the results under various scenario reduction algorithms and MCS ones. The comparison of the obtained results and those of other existing deterministic methods highlights the advantages of the presented method. Furthermore, the sensitivity analyses are carried out to investigate the robustness of the developed method against the increase in the system uncertainty level. According to the test results, it is concluded that the k-medoids algorithm has the best performance in comparison with the k-means and the DEA-based clustering under various conditions.
引用
收藏
页码:3942 / 3960
页数:19
相关论文
共 78 条
[1]   K-Means clustering technique applied to availability of micro hydro power [J].
Adhau, S. P. ;
Moharil, R. M. ;
Adhau, P. G. .
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2014, 8 :191-201
[2]   Distribution Transformer Loss-of-Life Reduction by Increasing Penetration of Distributed Generation [J].
Agah, S. M. Mousavi ;
Abyaneh, Hossein Askarian .
IEEE TRANSACTIONS ON POWER DELIVERY, 2011, 26 (02) :1128-1136
[3]   Uncertainty analysis of energy and economic performances of hybrid solar photovoltaic and combined cooling, heating, and power (CCHP plus PV) systems using a Monte-Carlo method [J].
Ahn, Hyeunguk ;
Rim, Donghyun ;
Pavlak, Gregory S. ;
Freihaut, James D. .
APPLIED ENERGY, 2019, 255
[4]   Optimal probabilistic energy management in a typical micro-grid based-on robust optimization and point estimate method [J].
Alavi, Seyed Arash ;
Ahmadian, Ali ;
Aliakbar-Golkar, Masoud .
ENERGY CONVERSION AND MANAGEMENT, 2015, 95 :314-325
[5]   Performance-cost and global warming assessments of two residential scale solar cooling systems versus a conventional one in hot arid areas [J].
Ali, Ahmed Hamza H. .
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2017, 20 :1-8
[6]   Evaluation of wind energy potential and electricity generation at five locations in Jordan [J].
Ammari, Handri D. ;
Al-Rwashdeh, Saad S. ;
Al-Najideen, Mohammad I. .
SUSTAINABLE CITIES AND SOCIETY, 2015, 15 :135-143
[7]   Wind power generation: An impact analysis of incentive strategies for cleaner energy provision in Brazil [J].
Aquila, Giancarlo ;
Souza Rocha, Luiz Celio ;
Rotela Junior, Paulo ;
Pamplona, Edson de Oliveira ;
de Queiroz, Anderson Rodrigo ;
de Paiva, Anderson Paulo .
JOURNAL OF CLEANER PRODUCTION, 2016, 137 :1100-1108
[8]   Barriers, challenges and opportunities for microgrid implementation: The case of Federal University of Rio de Janeiro [J].
Bellido, Marlon Huamani ;
Rosa, Luiz Pinguelli ;
Pereira, Amaro Olimpio ;
Falcao, Djalma Mosqueira ;
Ribeiro, Suzana Kahn .
JOURNAL OF CLEANER PRODUCTION, 2018, 188 :203-216
[9]   Wind resource assessment in Algeria [J].
Boudia, Sidi Mohammed ;
Benmansour, Abdelhalim ;
Hellal, Mohammed Abdellatif Tabet .
Sustainable Cities and Society, 2016, 22 :171-183
[10]   From smart energy community to smart energy municipalities: Literature review, agendas and pathways [J].
Ceglia, F. ;
Esposito, P. ;
Marrasso, E. ;
Sasso, M. .
JOURNAL OF CLEANER PRODUCTION, 2020, 254