Retail electricity pricing based on the value of electricity for consumers

Hatami, 2009, Optimal selling price and energy procurement strategies for a retailer in an electricity market, Electr. Power Syst. Res., 79, 246, 10.1016/j.epsr.2008.06.003 Kirschen, 2004 Aghaei, 2013, Demand response in smart electricity grids equipped with renewable energy sources: A review, Renew. Sustain. Energy Rev., 18, 64, 10.1016/j.rser.2012.09.019 Yousefi, 2011, Optimal real time pricing in an agent-based retail market using a comprehensive demand response model, Energy, 36, 5716, 10.1016/j.energy.2011.06.045 Peik-Herfeh, 2013, Decision making of a virtual power plant under uncertainties for bidding in a day-ahead market using point estimate method, Electr. Power Energy Syst., 44, 88, 10.1016/j.ijepes.2012.07.016 Kirschen, 2000, Factoring the elasticity of demand in electricity prices, IEEE Trans. Power Syst., 15, 612, 10.1109/59.867149 Ghadikolaei, 2012, Integrated day-ahead and hour-ahead operation model of DisCos in retail electricity markets considering DGs and CO2 emission penalty cost, Appl. Energy, 95, 174, 10.1016/j.apenergy.2012.02.034 De Jonghe, 2014, Value of price responsive load for wind integration in unit commitment, IEEE Trans. Smart Grid, 29, 675 Schweppe, 1989 Aalami, 2010, Demand response modeling considering interruptible/curtailable loads and capacity market programs, Appl. Energy, 87, 243, 10.1016/j.apenergy.2009.05.041 Doostizadeh, 2012, A day-ahead electricity pricing model based on smart metering and demand-side management, Energy, 46, 221, 10.1016/j.energy.2012.08.029 Safdarian, 2014, Integration of price-based demand response in DisCos’ short-term decision model, IEEE Trans. Smart Grid, 5, 2235, 10.1109/TSG.2014.2317502 Ferreira, 2013, Time-of-use tariff design under uncertainty in price-elasticities of electricity demand: a stochastic optimization approach, IEEE Trans. Smart Grid, 4, 2285, 10.1109/TSG.2013.2241087 Debunking, 2001 Rezaee, 2004 Ghasemi, 2015, Integration of nodal hourly pricing in day-ahead SDC (smart distribution company) optimization framework to effectively activate demand response, Energy, 86, 649, 10.1016/j.energy.2015.04.091 Nikmehr, 2017, Probabilistic optimal scheduling of networked microgrids considering time-based demand response programs under uncertainty, Appl. Energy, 198, 267, 10.1016/j.apenergy.2017.04.071 Boisvert, 2004 Fan, 2011, The price elasticity of electricity demand in South Australia, Energy Policy, 39, 3709, 10.1016/j.enpol.2011.03.080 Angevine, 2007 FERC Staff Report, 2012 Verbi, 2006, Probabilistic optimal power flow in electricity markets based on a two-point estimate method, IEEE Trans. Power Syst., 21, 1 Moeini-Aghtaie, 2012, Incorporating large-scale distant wind farms in probabilistic transmission expansion planning—Part I: Theory and algorithm, IEEE Trans. Power Syst., 27, 1585, 10.1109/TPWRS.2011.2182363 Kirschen, 2003, Demand-side view of electricity market, IEEE Trans. Power Syst., 18, 520, 10.1109/TPWRS.2003.810692 Shahidehpour, 2005, Benders decomposition: applying Benders decomposition to power systems, IEEE Power Energy Mag., 3, 1 GAMS Webpage, 2018 Washington university, 2018 2017 Williams, 2006 Ontario Energy Board (OEB), 2011