[1]
“Mckinsey on smart grid”, No. 1 Summer 2010, Mckinsey Co.
[Available Online:] .http://sedc-coalition.eu/wp-content/uploads/ 2011/06/mckinsey-10-08-05-smart -grid-benefits.pdf 2011.(Accessed Nov 23, 2016)
[2]
H. Aalami, G. Yousefi, and M. Moghadam, Demand response model considering EDRP and TOU In: IEEE/PES Transmission and Distribution Conference and Exposition, Chicago, IL, USA 2008.
[3]
M. Malette, and G. Venkataramanan, Financial incentives to encourage demand response participation by plug-in hybrid electric vehicle owners., IEEE Energy Conversion Congress and Exposition, 2010, pp. 4278-4284.
[4]
D. Setlhaolo, X. Xia, and J. Zhang, "Optimal scheduling of household appliances for demand response", Electr. Power Syst. Res., vol. 116, pp. 24-28, 2014.
[5]
V.A. Evangelopoulos, P.S. Georgilakis, and N.D. Hatziargyriou, "Optimal operation of smart distribution networks: A review of models, methods and future research", Electr. Power Syst. Res., vol. 140, pp. 95-106, 2016.
[6]
M. Erol-Kantarci, and H. Mouftah, "Wireless sensor networks for cost efficient residential energy management in the smart grid", IEEE Transactions on Smart Grid 1, pp. 320-325, 2011..
[7]
"M. Song, K. Alvehag, J. Widen, A. Parisio, Estimating the impacts of demand response by simulating household behaviors under price and CO2 signals", Electr. Power Syst. Res., vol. 111, pp. 103-114, 2014. 2014
[8]
D. Setlhaolo, and X. Xia, "Optimal scheduling of household appliances with a battery storage system and coordination", Energy Build., vol. 94, pp. 61-70, 2015.
[9]
O. Dzobo, and X. Xia, "Optimal operation of smart multi-energy hub systems incorporating energy hub coordination and demand response strategy", J. Renew. Sustain. Energy, vol. 9, p. 045501, 2017.
[10]
O. Dzobo, K. Alvehag, C.T. Gaunt, and R. Herman, "Multi-dimensional customer segmentation model for power system reliability-worth analysis", Int. J. Electr. Power Energy Syst., vol. 62, pp. 532-539, 2014.
[11]
O. Dzobo, C.T. Gaunt, and R. Herman, "Reliability worth assessment of electricity consumers: A South African case study", J. Energy South. Afr., vol. 23, pp. 31-39, 2012.
[12]
O. Dzobo, C.T. Gaunt, R. Herman, and M.J. Saulo, "The effect of backup power supply on calculation of reliability cost and worth indices", In: Proceedings of the third IASTED African conference, vol. Vol. 684 pp. 032-128,, 2010
[13]
O. Dzobo, C.T. Gaunt, and R. Herman, "Investigating the use of probability distribution functions in reliability-worth analysis of electric power systems", Int. J. Electr. Power Energy Syst., vol. 37, pp. 110-116, 2012.
[14]
"K. Alvehag and L. Söder, “An activity-based interruption cost
model for households to be used in cost-benefit analysis”, In:
Proceed. Power Technol., Lausanne, Switzerland, 2007",
[15]
R. Herman, and C.T. Gaunt, "Direct and indirect measurement of residential and commercial CIC: Preliminary findings from South African surveys In", Proceedings of the 10th International Conference on Probabilistic Methods Applied to Power Systems PMAPS '08., 2008
[16]
F. Fernandes, and H. Morais, "Z. VaZ and C. Ramos, “Dynamic load management in a smart home to participate in demand response events", Energy Build., vol. 82, pp. 592-606, 2014.
[17]
P. Du, and N. Lu, "Appliance commitment for household load scheduling", IEEE Trans. Smart Grid, vol. 2, pp. 411-419, 2011.
[18]
H. Tazvinga, X. Xia, and J. Zhang, "Minimum cost solution of photovoltaic-diesel-battery hybrid power systems for remote consumers", Sol. Energy, vol. 96, pp. 292-299, 2013.
[19]
M.J. Morshed, and A. Asgharpour, "Hybrid imperialist competitive-sequential quadratic programming (hicsqp) algorithm for solving economic load dispatch with incorporating stochastic wind power: A comparative study on heuristic optimization techniques", Energy Convers. Manage., vol. 84, pp. 30-40, 2014.
[20]
G.J. Osorio, J.M. Lujano-Rojas, J.C.O. Matias, and J.P.S. Catal, "A probabilistic approach to solve the economic dispatch problem with intermittent renewable energy sources", Energy, vol. 82, pp. 949-959, 2015.
[21]
V.S. Tabar, M.A. Jirdehi, and R. Hemmati, "Energy management in microgrid based on the multi objective stochastic programming incorporating portable renewable energy resource as demand response option", Energy, vol. 118, pp. 827-839, 2017.
[22]
S.M. Nosratabadi, R.A. Hooshmand, and E. Gholipour, "A comprehensive review on microgrid and virtual power plant concepts employed for distributed energy resources scheduling in power systems", Renew. Energ. Sustain. Energy Rev., vol. 67, pp. 341-363, 2017.
[23]
N. Good, K.A. Ellis, and P. Mancarella, "Review and classification of barriers and enablers of demand response in the smart grid", Renew. Sustain. Energy Rev., vol. 72, pp. 57-72, 2017.
[24]
J. Wang, H. Zhong, Z. Ma, Q. Xia, and C. Kang, "Review and prospect of integrated demand response in the multi-energy system", Applied. Energy, vol. 202, pp. 772-782, 2017.
[25]
L. Swan, and V. Ugursal, "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques", Renew. Sustain. Energy Rev., vol. 13, pp. 1819-1835, 2009.
[26]
X. Xia, D. Setlhaolo, and J. Zhang, Residential demand response strategies for South Africa.In:IEEE PES Power Africa 2012., Conference and Exhibition: Johannesburg, South Africa, 2012.
[27]
"P. Khajavi, H. Monsef and H. Abniki, “Load profile reformation
through demand response programs using smart grid”, In: Proc. of
the International Symposium on Modern Electric Power Systems,
Wroclaw, Poland, 2010",
[28]
J.H. Yoon, R. Bladick, and A. Novoselac, "Demand response for residential buildings based on dynamic price of electricity", Energy Build., vol. 80, pp. 531-541, 2014.
[29]
K. Alvehag, and L. Soder, "Considering extreme outage events in cost-benefit analysis of distribution systems In", Proceedings of Australasian Universities Power Engineering Conference (AUPEC), 2008
21
2