Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: A review

被引:144
作者
Zubo, Rana. H. A. [1 ]
Mokryani, Geev [1 ]
Rajamani, Haile-Selassie [1 ]
Aghaei, Jamshid [2 ]
Niknam, Taher [2 ]
Pillai, Prashant [1 ]
机构
[1] Univ Bradford, Sch Elect Engn & Comp Sci, Bradford BD7 1DP, W Yorkshire, England
[2] Shiraz Univ Technol, Dept Elect & Elect Engn, Shiraz, Iran
关键词
Distributed generation; Distribution system; Optimization methods; Uncertainty modeling; MONTE-CARLO-SIMULATION; OPTIMAL POWER-FLOW; PARTICLE SWARM OPTIMIZATION; ANT COLONY SYSTEM; IMPERIALIST COMPETITIVE ALGORITHM; RADIAL-DISTRIBUTION NETWORKS; OPTIMAL ALLOCATION; DG UNITS; WIND TURBINES; OPTIMAL PLACEMENT;
D O I
10.1016/j.rser.2016.10.036
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Distributed generators (DGs) are a reliable solution to supply economic and reliable electricity to customers. It is the last stage in delivery of electric power which can be defined as an electric power source connected directly to the distribution network or on the customer site. It is necessary to allocate DGs optimally (size, placement and the type) to obtain commercial, technical, environmental and regulatory advantages of power systems. In this context, a comprehensive literature review of uncertainty modeling methods used for modeling uncertain parameters related to renewable DGs as well as methodologies used for the planning and operation of DGs integration into distribution network. The authors strongly recommend this review to researchers, scientists and engineers who are working in this field of research work.
引用
收藏
页码:1177 / 1198
页数:22
相关论文
共 288 条
[21]   Composite system well-being evaluation based on non-sequential Monte Carlo simulation [J].
Amaral, Tiago S. ;
Borges, Carmen L. T. ;
Rei, Andrea M. .
ELECTRIC POWER SYSTEMS RESEARCH, 2010, 80 (01) :37-45
[22]  
[Anonymous], 2009, NAT BIOL INSP COMP 2
[23]  
[Anonymous], 2010, ARPN J ENG APPL SCI
[24]  
[Anonymous], 2009, P 2009 INT C SUST PO
[25]  
[Anonymous], MULTISTAGE GENERATIO
[26]  
[Anonymous], 1989, GENETIC ALGORITHMS S
[27]  
[Anonymous], INT J ENG SCI TECHNO
[28]   Genetic-Algorithm-Based Optimization Approach for Energy Management [J].
Arabali, A. ;
Ghofrani, M. ;
Etezadi-Amoli, M. ;
Fadali, M. S. ;
Baghzouz, Y. .
IEEE TRANSACTIONS ON POWER DELIVERY, 2013, 28 (01) :162-170
[29]   Stochastic Performance Assessment and Sizing for a Hybrid Power System of Solar/Wind/Energy Storage [J].
Arabali, Amirsaman ;
Ghofrani, Mahmoud ;
Etezadi-Amoli, Mehdi ;
Fadali, Mohammed Sami .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2014, 5 (02) :363-371
[30]   Reliability enhancement of a radial distribution system using coordinated aggregation based particle swarm optimization considering customer and energy based indices [J].
Arya, Rajesh ;
Choube, S. C. ;
Arya, L. D. ;
Kothari, D. P. .
APPLIED SOFT COMPUTING, 2012, 12 (11) :3325-3331