Comprehensive review of VPPs planning, operation and scheduling considering the uncertainties related to renewable energy sources

被引:63
作者
Ullah, Zahid [1 ]
Mokryani, Geev [1 ]
Campean, Felician [1 ]
Hu, Yim Fun [1 ]
机构
[1] Univ Bradford, Fac Engn & Informat, Bradford BD7 1DP, W Yorkshire, England
关键词
power generation economics; power markets; global warming; renewable energy sources; distributed power generation; power generation planning; power generation scheduling; power engineering computing; cloud computing; distributed energy resources; renewable energies; buying; wholesale energy markets; scheduling; comprehensive review; clean energy requirements; renewable energy resources; global warming effects; virtual power plant concept; environmental concerns; nonRES; carbon emissions; VPP system;
D O I
10.1049/iet-esi.2018.0041
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 penetration of renewable energies in the energy market has increased significantly over the last two decades due to environmental concerns and clean energy requirements. The principal advantage of renewable energy resources (RESs) over non-RESs is that it has no direct carbonisation impact on the environment and that it has none of the global warming effects which are caused by carbon emissions. Furthermore, the liberalisation of the energy market has led to the realisation of the virtual power plant (VPP) concept. A VPP is a unified platform for distributed energy resources that integrates the capacities of various renewable energies together for the purpose of improving power generation and management as well as catering for the buying and selling of energy in wholesale energy markets. This review study presents a comprehensive review of existing approaches to planning, operation and scheduling of the VPP system. The methodologies that were adopted, their advantages and disadvantages are assessed in detail in order to benefit new entrants in the power system and provide them with comprehensive knowledge, techniques and understanding of the VPP concept.
引用
收藏
页码:147 / 157
页数:11
相关论文
共 95 条
[1]   Optimal allocation of stochastically dependent renewable energy based distributed generators in unbalanced distribution networks [J].
Abdelaziz, A. Y. ;
Hegazy, Y. G. ;
El-Khattam, Walid ;
Othman, M. M. .
ELECTRIC POWER SYSTEMS RESEARCH, 2015, 119 :34-44
[2]   Optimal Planning of Distributed Generators in Distribution Networks Using Modified Firefly Method [J].
Abdelaziz, Almoataz Y. ;
Hegazy, Yasser G. ;
El-Khattam, Walid ;
Othman, Mahmoud M. .
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2015, 43 (03) :320-333
[3]   A comprehensive review on uncertainty modeling techniques in power system studies [J].
Aien, Morteza ;
Hajebrahimi, Ali ;
Fotuhi-Firuzabad, Mahmud .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 57 :1077-1089
[4]   On possibilistic and probabilistic uncertainty assessment of power flow problem: A review and a new approach [J].
Aien, Morteza ;
Rashidinejad, Masoud ;
Fotuhi-Firuzabad, Mahmud .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 37 :883-895
[5]   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
[6]   From Demand Response in Smart Grid Toward Integrated Demand Response in Smart Energy Hub [J].
Bahrami, Shahab ;
Sheikhi, Aras .
IEEE TRANSACTIONS ON SMART GRID, 2016, 7 (02) :650-658
[7]   Optimal distributed generation allocation for reliability, losses, and voltage improvement [J].
Borges, Carmen L. T. ;
Falcao, Djalma M. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2006, 28 (06) :413-420
[8]  
Braun M., 2009, SES6518272 FENIX
[9]  
Braun M., 2009, P ETG FACHBERICHT IN
[10]  
Brenna M., 2012, 2012 IEEE INT EN C E