Novel load management for renewable generation sources/battery system through cut energy expenditure and generate revenue

被引:2
作者
Bahrami, Narges [1 ]
Liu, Sifeng [1 ]
Ponkratov, Vadim Vitalievich [2 ]
Phong Thanh Nguyen [3 ]
Maseleno, Andino [4 ]
Berti, Stephen [5 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing, Jiangsu, Peoples R China
[2] Financial Univ Govt Russian Federat, Moscow, Russia
[3] Ho Chi Minh City Open Univ, Dept Project Management, Ho Chi Minh City, Vietnam
[4] Univ Tenaga Nas, Inst Informat & Comp Energy, Kajang, Malaysia
[5] Univ S Florida, Tampa, FL 33620 USA
关键词
Industrial users; photovoltaic system; wind energy; energy storage system; demand response program; LARGE CONSUMERS; POWER; OPERATION; STORAGE; PRICE; PERFORMANCE; PREDICTION; DISPATCH;
D O I
10.1080/01430750.2019.1636868
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 sources that provide energy to large electricity consumers include: pool market, bilateral contracts, micro-turbines, battery storage system, wind turbine and PV system as well as demand response program (DRP). Because of the uncertainty in the Pool Market the final cost of the large consumer is not identifiable. With the aim of improving the performance of large consumers in the risk-averse strategy, a strong optimisation method is recommended for pool markets in the presence of uncertainty. In large consumers due to high costs and with the aim of reducing it, the DRP method is used. By analysing the results, it can be concluded that DRP has had an important impact on total procurement cost of a large electricity consumer. By examining the results based on robust optimisation method, it can be discussed that the without using of DRP in the risk-neutral strategy is lower than the risk-averse strategy. Also, it can be said that the procurement cost of large electricity consumer with using of DRP program has been decreased 8.2% and 6.5% in the risk-neutral and risk-averse strategy, respectively.
引用
收藏
页码:368 / 384
页数:17
相关论文
共 43 条
[31]   A New Multiobjective Allocator of Capacitor Banks and Distributed Generations using a New Investigated Differential Evolution [J].
Nasab, Mohammad Eskandari ;
Maleksaeedi, Iman ;
Mohammadi, Mohsen ;
Ghadimi, Noradin .
COMPLEXITY, 2014, 19 (05) :40-54
[32]   A new method for probabilistic assessments in power systems, combining monte carlo and stochastic-algebraic methods [J].
Noruzi, Alireza ;
Banki, Tohid ;
Abedinia, Oveis ;
Ghadimi, Noradin .
COMPLEXITY, 2015, 21 (02) :100-110
[33]   Operation of a photovoltaic-wind plant with a hydro pumping-storage for electricity peak-shaving in an island context [J].
Notton, Gilles ;
Mistrushi, Driada ;
Stoyanov, Ludmil ;
Berber, Pellumb .
SOLAR ENERGY, 2017, 157 :20-34
[34]   Multi-objective based economic operation and environmental performance of PV-based large industrial consumer [J].
Rezaeipour, Roshanak ;
Zahedi, Ahmad .
SOLAR ENERGY, 2017, 157 :227-235
[35]  
Shayanfar H. A., 2014, P INT C ART INT LAS
[36]  
Shokri Mahsa., 2015, UCT J RES SCI ENG TE, V4, P24
[37]   A Hybrid Framework for Evolutionary Multi-objective Optimization [J].
Sindhya, Karthik ;
Miettinen, Kaisa ;
Deb, Kalyanmoy .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2013, 17 (04) :495-511
[38]   Heating hub and power hub models for optimal performance of an industrial consumer [J].
Soudmand, Behnam Maleki ;
Esfetanaj, Naser Nourani ;
Mehdipour, Soleiman ;
Rezaeipour, Roshanak .
ENERGY CONVERSION AND MANAGEMENT, 2017, 150 :425-432
[39]   Minimum cost solution of photovoltaic-diesel-battery hybrid power systems for remote consumers [J].
Tazvinga, Henerica ;
Xia, Xiaohua ;
Zhang, Jiangfeng .
SOLAR ENERGY, 2013, 96 :292-299
[40]  
Tereso A., 2018, J INF SYST ENG MANAG, V3, P03, DOI 10.20897/jisem.201803