Optimal Modeling and Prioritizing of the Demand Response Programs Considering Non-linear Responsive Load Models

  • Ehsan Dehnavi Electrical Engineering Department, Razi University, Kermanshah
  • Hamdi Abdi Electrical Engineering Department, Razi University, Kermanshah

Abstract

Demand Response Programs (DRPs) play an important role in price reduction and reliability improvement in the electrical grids. On the other hand optimal and exact modeling of DRPs can be so effective in the load curve estimation with the lowest error. In this paper the linear and non-linear models of the incentive and price based DRPs have been developed. Modeling is based on the price elasticity matrix (PEM) and customer’s benefit function. Also, the effects of implementation of DRPs on the load curve characteristics such as the load factor, peak to valley, and peak compensate have been investigated. Finally based on different independent system operator’s (ISO’s) policies, DRPs are prioritized using strategy success indexes (SSI).

References

[1] M. Khalili, M. Khederzadeh, and M. Moradi Dalvand, “Developing a new model for the customer pricing considering its role on the load management and effects on micro-grids operation,” Journal of quality and efficiency in Iran electrical industries, first year, no. 2, 1391, A.H.

[2] M. Rastegar and M. Fotuhi Firuz Abad, “Probabilistic planning of the residential load in Smart Grid,” Journal of the process of the electrical generation and distribution, Twenty-second year, no. 51, pp. 35-48, 1391 A.H.

[3] R. Zakerifar, Sh. Jadid, and L. Hashemi Tehrani, “Simultaneous Optimization of energy and storage in power markets with demand side participation in providing services,” Journal of Energy, Twelfth year, no. 22, 1388 A.H.

[4] J. Saebi, M.H. Javidi, and M. Olumi Baygi, “Economical evaluation of demand response in the presence of high penetration of wind energy in the power system,” Journal of quality and efficiency in Iran electrical industries, second year, no. 4, 1392 A.H.

[5] E. Shayesteh, S.J. Kazempoor, P. Taimourzedeh Baboli, H. Alami, M. Behrang Rad, and M. Parsa Moghaddam, “Appointing the optimal incentive presented industries in the demand response programs by economical evaluation in Iran,” Fourteenth conference on distribution grids, 1388 A.H.

[6] M. Doosti zadeh and H. Ghasemi “Evaluation of smart meters and demand response programs on the power market,” Twenty-fifth international power system conference, Tehran, Iran, 1390 A.H.

[7] H.A. Aalami, M. Parsa Moghaddam, G.R. Yousefi, "Demand response modeling considering Interruptible/Curtailable loads and capacity market programs," Applied Energy, vol. 87, pp. 243-250, 2010.

[8] H.A. Aalami, M. Parsa Moghaddam, G.R. Yousefi, “Evaluation of nonlinear models for time-based rates demand response programs,” Electrical Power and Energy Systems, vol. 65, pp. 282-290, 2015.

[9] M. Joung, J. Kim, “Assessing demand response and smart metering impacts on long-term electricity market prices and system reliability,” Applied Energy, vol. 101, pp. 441-448, 2013.

[10] H. Falsafi, A. Zakariazadeh, Sh. Jadid, “The role of demand response in single and multi-objective wind-thermal generation scheduling: A stochastic programming,” Energy, vol. 64, pp. 853-867, 2013.

[11] N. Venkatesan, J. Solanki, S. Khushalani Solanki, “Residential demand response model and impact on voltage profile and losses of an electric distribution network,” Applied Energy, vol. 96, pp. 84-91, 2012.

[12] J.M. Yusta, H.M. Khodr, A.J. Urdaneta, “Optimal pricing of default customers in electrical distribution systems: Effect behavior performance of demand response models ,” Electric Power Systems Research, vol. 77, pp. 548-558, 2007.

[13] M.M. Sahebi, E.A. Duki, M. Kia, A. Soroudi, M. Ehsan, “Simultanous emergency demand response programming and unit commitment programming in comparison with interruptible load contracts,” IET Generation, Transmission & Distribution, pp. 605-611, 2012.

[14] Abdollahi, M. Parsa Moghaddam, M. Rashidinejad, M.K. Sheikh-El-Eslami, “Investigation of economic and environmental-driven demand response measures incorporating UC,” IEEE transactions on smart grid, vol. 3, pp. 12-25, 2012.

[15] Website of the sponsor: www.saba.org.ir.
Published
2016-05-31
How to Cite
Dehnavi, E., & Abdi, H. (2016). Optimal Modeling and Prioritizing of the Demand Response Programs Considering Non-linear Responsive Load Models. Majlesi Journal of Energy Management, 5(2). Retrieved from http://journals.iaumajlesi.ac.ir/em/index/index.php/em/article/view/237
Section
Articles