Skip to main content
Top
Published in: Energy Systems 2/2020

02-01-2019 | Original Paper

Demand response program using incentive and dis-incentive based scheme

Authors: Kumar Raja Gadham, Tirthadip Ghose

Published in: Energy Systems | Issue 2/2020

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Demand Response (DR) is becoming an effective tool to change consumption in order to maintain the balance between generation and consumption in real time. Demand Response Programs (DRPs) are employed for assisting the DR activities to encourage consumers to change their own load responding incentive/price based signal sent by the aggregator. Motivating the customers to change their consumption pattern poses a great challenge for the aggregator. In this paper, an incentive and dis-incentive based scheme has been designed for effective implementation of mandatory participation based incentive DR Program. This scheme is designed on the basis of social welfare concept calculating the expected gain of the generating utility and customers. While determining the benefit of generating utilities, this is observed that DR causes a loss for some costly units due to the reduction of the demand. The proposed scheme provides an incentive to such loss making generating utilities and responsive customers for playing their role in implementing the proposed DR program. Dis-incentive charge will then be imposed upon the non-responsive customers who are under the mandatory program but violate the agreement and still enjoy the monetary benefit in their energy bills due to price reduction. The effects on social welfare function due to different DR values show the importance of framing incentive prices for the participating utilities in DRP. Generation scheduling of 10 units is considered here to create different DR conditions and illustrate the effectiveness of the proposed scheme.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Rahimi, F., Ipakchi, A.: Demand response as a market resource under the smart grid paradigm. IEEE Trans. Smart Grid 1(1), 82–88 (2010)CrossRef Rahimi, F., Ipakchi, A.: Demand response as a market resource under the smart grid paradigm. IEEE Trans. Smart Grid 1(1), 82–88 (2010)CrossRef
2.
go back to reference Palensky, P., Dietrich, D.: Demand side management demand response intelligent energy systems and smart loads. IEEE Trans. Ind. Inform. 7(3), 381–388 (2011)CrossRef Palensky, P., Dietrich, D.: Demand side management demand response intelligent energy systems and smart loads. IEEE Trans. Ind. Inform. 7(3), 381–388 (2011)CrossRef
3.
go back to reference Gellings, C.W., Samotyj, M.: Smart grid as advanced technology enabler of demand response. J. Energy Effic. 6(4), 685–694 (2013)CrossRef Gellings, C.W., Samotyj, M.: Smart grid as advanced technology enabler of demand response. J. Energy Effic. 6(4), 685–694 (2013)CrossRef
4.
go back to reference Resener, M., Haffner, S., Pereira, L.A., Pardalos, P.M.: Optimization techniques applied to planning of electric power distribution systems: a bibliographic survey. Energy Syst. 5(3), 583–606 (2018) Resener, M., Haffner, S., Pereira, L.A., Pardalos, P.M.: Optimization techniques applied to planning of electric power distribution systems: a bibliographic survey. Energy Syst. 5(3), 583–606 (2018)
5.
go back to reference Smith, R., Meng, K., Dong, Z., Simpson, R.: Demand response: a strategy to address residential air-conditioning peak load in Australia. J. Mod. Power Syst. Clean Energy. 1(3), 223–230 (2013)CrossRef Smith, R., Meng, K., Dong, Z., Simpson, R.: Demand response: a strategy to address residential air-conditioning peak load in Australia. J. Mod. Power Syst. Clean Energy. 1(3), 223–230 (2013)CrossRef
6.
go back to reference Saele, H., Grande, O.: Demand response from household customers: experiences from a pilot study in norway. IEEE Trans. Smart Grid 2(1), 102–109 (2011)CrossRef Saele, H., Grande, O.: Demand response from household customers: experiences from a pilot study in norway. IEEE Trans. Smart Grid 2(1), 102–109 (2011)CrossRef
7.
go back to reference Albadi, M.H., El-saadany, E.F.: A summary of demand response in electricity markets. Electr. Power syst. 78(11), 1989–1996 (2008)CrossRef Albadi, M.H., El-saadany, E.F.: A summary of demand response in electricity markets. Electr. Power syst. 78(11), 1989–1996 (2008)CrossRef
8.
go back to reference Chao, H., DePillis, M.: Incentive effects of paying demand response in wholesale electricity market. J. Regul. Econ. 43(3), 265–283 (2013)CrossRef Chao, H., DePillis, M.: Incentive effects of paying demand response in wholesale electricity market. J. Regul. Econ. 43(3), 265–283 (2013)CrossRef
9.
go back to reference Kim, D.M., Kim, J.O.: Design of emergency demand response program using analytic hierarchy process. IEEE Trans. Smart Grid 3(2), 635–644 (2012)CrossRef Kim, D.M., Kim, J.O.: Design of emergency demand response program using analytic hierarchy process. IEEE Trans. Smart Grid 3(2), 635–644 (2012)CrossRef
10.
go back to reference Abdollahi, A., Moghaddam, M.P., Rashidinejad, M., Sheikh-El-Eslami, M.K.: Investigation of economic and environmental-driven DR measures incorporating UC. IEEE Trans. Smart Grid 3(1), 12–25 (2012)CrossRef Abdollahi, A., Moghaddam, M.P., Rashidinejad, M., Sheikh-El-Eslami, M.K.: Investigation of economic and environmental-driven DR measures incorporating UC. IEEE Trans. Smart Grid 3(1), 12–25 (2012)CrossRef
11.
go back to reference Zhong, H., Xie, L., Xia, Q.: Coupon incentive-based demand response: theory and case study. IEEE. Trans. Power Syst. 28(2), 1–11 (2013)CrossRef Zhong, H., Xie, L., Xia, Q.: Coupon incentive-based demand response: theory and case study. IEEE. Trans. Power Syst. 28(2), 1–11 (2013)CrossRef
12.
go back to reference Chao, H.: Demand response in wholesale electricity markets: the choice of customer baseline. J. Regul. Econ. 39(1), 68–88 (2010)CrossRef Chao, H.: Demand response in wholesale electricity markets: the choice of customer baseline. J. Regul. Econ. 39(1), 68–88 (2010)CrossRef
13.
go back to reference Hayn, M., Zander, A., Fichtner, W., Nickel, S., Bertsch, V.: The impact of electricity tariffs on residential demand side flexibility: results of bottom-up load profile modeling. Energy Syst. 5(3), 583–606 (2018) Hayn, M., Zander, A., Fichtner, W., Nickel, S., Bertsch, V.: The impact of electricity tariffs on residential demand side flexibility: results of bottom-up load profile modeling. Energy Syst. 5(3), 583–606 (2018)
15.
go back to reference Pipattanasomporn, M., Kuzlu, M., Rahman, S.: An algorithm for intelligent home energy management and demand response analysis. IEEE Trans. Smart Grid 3(4), 2166–2173 (2012)CrossRef Pipattanasomporn, M., Kuzlu, M., Rahman, S.: An algorithm for intelligent home energy management and demand response analysis. IEEE Trans. Smart Grid 3(4), 2166–2173 (2012)CrossRef
16.
go back to reference Ozturk, Y., Senthilkumar, D., Kumar, S., Lee, G.: An intelligent home energy management system to improve demand response. IEEE Trans. Smart Grid 4(2), 694–701 (2013)CrossRef Ozturk, Y., Senthilkumar, D., Kumar, S., Lee, G.: An intelligent home energy management system to improve demand response. IEEE Trans. Smart Grid 4(2), 694–701 (2013)CrossRef
17.
go back to reference Moghaddam, M.P., Abdollahi, A., Rashidejad, M.: Flexible demand response programs modeling in competitive electricity markets. Appl. Energy 88(9), 3257–3269 (2011)CrossRef Moghaddam, M.P., Abdollahi, A., Rashidejad, M.: Flexible demand response programs modeling in competitive electricity markets. Appl. Energy 88(9), 3257–3269 (2011)CrossRef
18.
go back to reference Chu, W.-C., Chen, Y.-P., Lin, T.-H.: The competitive model based on the demand response in the off-peak periods for the Taipower system. IEEE Trans. Ind. Appl. 44(4), 1303–1307 (2008)CrossRef Chu, W.-C., Chen, Y.-P., Lin, T.-H.: The competitive model based on the demand response in the off-peak periods for the Taipower system. IEEE Trans. Ind. Appl. 44(4), 1303–1307 (2008)CrossRef
19.
go back to reference Yu, N., Yu, L.J.: Optimal TOU decision considering demand response model. In: International Conference on Power System Technology (POWERCON2006), Chongqing, China, pp. 1–5 (2006) Yu, N., Yu, L.J.: Optimal TOU decision considering demand response model. In: International Conference on Power System Technology (POWERCON2006), Chongqing, China, pp. 1–5 (2006)
20.
go back to reference Pedrasa, M.A.A., Spooner, T.D., Macgill, I.F.: Scheduling of demand side resources using binary particle swarm optimization. IEEE Trans. Power Syst. 24(3), 1173–1181 (2009)CrossRef Pedrasa, M.A.A., Spooner, T.D., Macgill, I.F.: Scheduling of demand side resources using binary particle swarm optimization. IEEE Trans. Power Syst. 24(3), 1173–1181 (2009)CrossRef
21.
go back to reference Aalami, H.A., Parsa Moghaddam, M., Yousefi, G.R.: Modeling and prioritizing demand response programs in power markets. Electr. Power Syst. Res. 80(4), 426–435 (2010)CrossRef Aalami, H.A., Parsa Moghaddam, M., Yousefi, G.R.: Modeling and prioritizing demand response programs in power markets. Electr. Power Syst. Res. 80(4), 426–435 (2010)CrossRef
22.
go back to reference Aketi, P., Sen, S.: Modeling demand response and economic impact of advanced and smart metering. Energy Syst. 5(3), 583–606 (2014)CrossRef Aketi, P., Sen, S.: Modeling demand response and economic impact of advanced and smart metering. Energy Syst. 5(3), 583–606 (2014)CrossRef
24.
go back to reference Su, C.-L., Kirschen, D.: Quantifying the effect of demand response on electricity markets. IEEE Trans. Power Syst. 24(3), 1199–1207 (2009)CrossRef Su, C.-L., Kirschen, D.: Quantifying the effect of demand response on electricity markets. IEEE Trans. Power Syst. 24(3), 1199–1207 (2009)CrossRef
25.
go back to reference Gadham, K.R., Ghose, T.: Importance of social welfare point for the analysis of demand response. In: Control, Measurement and Instrumentation (CMI). IEEE First International Conference, pp. 8–10 (2016) Gadham, K.R., Ghose, T.: Importance of social welfare point for the analysis of demand response. In: Control, Measurement and Instrumentation (CMI). IEEE First International Conference, pp. 8–10 (2016)
26.
go back to reference Parvania, M., Fotuhi-Firuzabad, M., Shahidehpour, M.: Optimal demand response aggregation in wholesale electricity markets. IEEE Trans. Smart Grid 4(4), 1957–1965 (2013)CrossRef Parvania, M., Fotuhi-Firuzabad, M., Shahidehpour, M.: Optimal demand response aggregation in wholesale electricity markets. IEEE Trans. Smart Grid 4(4), 1957–1965 (2013)CrossRef
27.
go back to reference Mahmoudi, N., Heydarian-Forushani, E., Shafie-khah, M., Saha, T.K., Golshan, M.E.H., Siano, P.: A bottom-up approach for demand response aggregators participation in electricity market. Electr. Power Syst. Res. 143, 121–129 (2017)CrossRef Mahmoudi, N., Heydarian-Forushani, E., Shafie-khah, M., Saha, T.K., Golshan, M.E.H., Siano, P.: A bottom-up approach for demand response aggregators participation in electricity market. Electr. Power Syst. Res. 143, 121–129 (2017)CrossRef
28.
go back to reference Hansen, T.M., Roche, R., Suryanarayanan, S., Anthony, A.M., Siegel, H.J.: Heuristic optimization for an aggregator-based resource allocation in the smart grid. IEEE Trans. Smart Grid 6(4), 1785–1794 (2015)CrossRef Hansen, T.M., Roche, R., Suryanarayanan, S., Anthony, A.M., Siegel, H.J.: Heuristic optimization for an aggregator-based resource allocation in the smart grid. IEEE Trans. Smart Grid 6(4), 1785–1794 (2015)CrossRef
29.
go back to reference Panwar, L.K., Konda, S.R., Verma, A., Panigrahi, B.K., Kumar, R.: Demand response aggregator coordinated two-stage responsive load scheduling in distribution system considering customer behaviour. IET Gener. Transm. Distrib. 11(4), 1023–1032 (2017)CrossRef Panwar, L.K., Konda, S.R., Verma, A., Panigrahi, B.K., Kumar, R.: Demand response aggregator coordinated two-stage responsive load scheduling in distribution system considering customer behaviour. IET Gener. Transm. Distrib. 11(4), 1023–1032 (2017)CrossRef
31.
go back to reference Conejo, A.J., Morales, J.M., Baringo, L.: Real time demand response mode. IEEE Trans. Smart Grid 1(3), 236–242 (2010)CrossRef Conejo, A.J., Morales, J.M., Baringo, L.: Real time demand response mode. IEEE Trans. Smart Grid 1(3), 236–242 (2010)CrossRef
32.
go back to reference Teimourzadeh Baboli, P., Eghbal, M., Parsa Moghaddam, M., Aalami, H.: Customer behavior based demand response model. In: Power and Energy Society General Meeting, pp. 1–7 (2012) Teimourzadeh Baboli, P., Eghbal, M., Parsa Moghaddam, M., Aalami, H.: Customer behavior based demand response model. In: Power and Energy Society General Meeting, pp. 1–7 (2012)
Metadata
Title
Demand response program using incentive and dis-incentive based scheme
Authors
Kumar Raja Gadham
Tirthadip Ghose
Publication date
02-01-2019
Publisher
Springer Berlin Heidelberg
Published in
Energy Systems / Issue 2/2020
Print ISSN: 1868-3967
Electronic ISSN: 1868-3975
DOI
https://doi.org/10.1007/s12667-018-00319-7

Other articles of this Issue 2/2020

Energy Systems 2/2020 Go to the issue