Modeling and assessment of incentive based demand response using price elasticity model in distribution systems

被引:22
作者
Pandey, Vipin Chandra [1 ]
Gupta, Nikhil [1 ]
Niazi, K. R. [1 ]
Swarnkar, Anil [1 ]
Thokar, Rayees Ahmad [1 ]
机构
[1] Malaviya Natl Inst Technol, Dept Elect Engn, Jaipur, Rajasthan, India
关键词
Demand response; Incentive-based DR; Price elasticity model; Incentive elasticity; ELECTRICITY; PROGRAMS;
D O I
10.1016/j.epsr.2022.107836
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The application of price elasticity model (PEM) in DR is considered as an appealing model for attributing the customer's demand sensitivity to price variation. It is also rendered in incentive based demand response (IBDR) program by augmenting with price based DR. This gives cumulative response of both DRs, but does not implicate the effect of incentive based DR, explicitly. Moreover, the impact on elasticity with the addition of incentives is not analyzed, analytically. Hence, these aspects are contributed as the part of the proposed study. In this context, an IBDR modeling using PEM is proposed to define effect of incentives in individual and the augmented DR. It proposes an incentive based elasticity in line with price based elasticity to differentiate their reflection on the system's economic and technical performance. Besides, IBDR models are critically evaluated based on the considered price strategies along with incentives to the customers. In addition, two pricing strategies along with IBDR are also suggested. A comprehensive analysis is carried out on the standard IEEE 33 distribution system bus load data to assess the efficacy of the proposed models and compared with the existing models. Further, these models are qualitatively assessed from both customers and utility perspective.
引用
收藏
页数:17
相关论文
共 45 条
[31]  
Otani Y., 1987, MICROECONOMIC THEORY, V47
[32]   An adaptive demand response framework using price elasticity model in distribution networks [J].
Pandey, Vipin Chandra ;
Gupta, Nikhil ;
Niazi, K. R. ;
Swarnkar, Anil ;
Thokar, Rayees Ahmad .
ELECTRIC POWER SYSTEMS RESEARCH, 2022, 202
[33]   Demand Response as a Market Resource Under the Smart Grid Paradigm [J].
Rahimi, Farrokh ;
Ipakchi, Ali .
IEEE TRANSACTIONS ON SMART GRID, 2010, 1 (01) :82-88
[34]   Modeling nonlinear incentive-based and price-based demand response programs and implementing on real power markets [J].
Rahmani-andebili, Mehdi .
ELECTRIC POWER SYSTEMS RESEARCH, 2016, 132 :115-124
[35]   A CONTRIBUTION TO THE THEORY OF TAXATION [J].
Ramsey, F. P. .
ECONOMIC JOURNAL, 1927, 37 (145) :47-61
[36]   A Medium-Term Decision Model for DisCos: Forward Contracting and TOU Pricing [J].
Safdarian, Amir ;
Fotuhi-Firuzabad, Mahmud ;
Lehtonen, Matti .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (03) :1143-1154
[37]   Integration of Price-Based Demand Response in DisCos' Short-Term Decision Model [J].
Safdarian, Amir ;
Fotuhi-Firuzabad, Mahmud ;
Lehtonen, Matti .
IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (05) :2235-2245
[38]  
Schweppe Fred, 1988, Spot Pricing of Electricity
[39]   An improved incentive-based demand response program in day-ahead and intra-day electricity markets [J].
Shahryari, E. ;
Shayeghi, H. ;
Mohammadi-ivatloo, B. ;
Moradzadeh, M. .
ENERGY, 2018, 155 :205-214
[40]  
Shen Bo., 2012, ADDRESSING ENERGY DE