Incorporating price-responsive customers in day-ahead scheduling of smart distribution networks

•Proposing a model for incorporating price-responsive customers in day-ahead scheduling of smart distribution networks; this model provides a win–win situation.•Introducing a risk management model based on a bi-level information-gap decision theory and recasting it into its equivalent single-level r...

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Vydané v:	Energy conversion and management Ročník 115; s. 103 - 116
Hlavní autori:	Mazidi, Mohammadreza, Monsef, Hassan, Siano, Pierluigi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.05.2016
Predmet:	batteries consumers (people) Customers Demand response Distribution management electricity energy Information-gap decision theory linear programming market prices Markets Mathematical models Networks Optimization planning Pricing Real-time pricing risk Risk management Sales Smart distribution network Uncertainty wholesale marketing Uncertainty Demand response Real-time pricing Smart distribution network Risk management Information-gap decision theory
ISSN:	0196-8904, 1879-2227
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Abstract	•Proposing a model for incorporating price-responsive customers in day-ahead scheduling of smart distribution networks; this model provides a win–win situation.•Introducing a risk management model based on a bi-level information-gap decision theory and recasting it into its equivalent single-level robust optimization problem using Karush–Kuhn–Tucker optimality conditions.•Utilizing mixed-integer linear programing formulation that is efficiently solved by commercial optimization software. Demand response and real-time pricing of electricity are key factors in a smart grid as they can increase economic efficiency and technical performances of power grids. This paper focuses on incorporating price-responsive customers in day-ahead scheduling of smart distribution networks under a dynamic pricing environment. A novel method is proposed and formulated as a tractable mixed integer linear programming optimization problem whose objective is to find hourly sale prices offered to customers, transactions (purchase/sale) with the wholesale market, commitment of distribution generation units, dispatch of battery energy storage systems and planning of interruptible loads in a way that the profit of the distribution network operator is maximized while customers’ benefit is guaranteed. To hedge distribution network operator against financial risk arising from uncertainty of wholesale market prices, a risk management model based on a bi-level information-gap decision theory is proposed. The proposed bi-level problem is solved by recasting it into its equivalent single-level robust optimization problem using Karush–Kuhn–Tucker optimality conditions. Performance of the proposed model is verified by applying it to a modified version of the IEEE 33-bus distribution test network. Numerical results demonstrate the effectiveness and efficiency of the proposed method.
AbstractList	Demand response and real-time pricing of electricity are key factors in a smart grid as they can increase economic efficiency and technical performances of power grids. This paper focuses on incorporating price-responsive customers in day-ahead scheduling of smart distribution networks under a dynamic pricing environment. A novel method is proposed and formulated as a tractable mixed integer linear programming optimization problem whose objective is to find hourly sale prices offered to customers, transactions (purchase/sale) with the wholesale market, commitment of distribution generation units, dispatch of battery energy storage systems and planning of interruptible loads in a way that the profit of the distribution network operator is maximized while customers' benefit is guaranteed. To hedge distribution network operator against financial risk arising from uncertainty of wholesale market prices, a risk management model based on a bi-level information-gap decision theory is proposed. The proposed bi-level problem is solved by recasting it into its equivalent single-level robust optimization problem using Karush-Kuhn-Tucker optimality conditions. Performance of the proposed model is verified by applying it to a modified version of the IEEE 33-bus distribution test network. Numerical results demonstrate the effectiveness and efficiency of the proposed method. •Proposing a model for incorporating price-responsive customers in day-ahead scheduling of smart distribution networks; this model provides a win–win situation.•Introducing a risk management model based on a bi-level information-gap decision theory and recasting it into its equivalent single-level robust optimization problem using Karush–Kuhn–Tucker optimality conditions.•Utilizing mixed-integer linear programing formulation that is efficiently solved by commercial optimization software. Demand response and real-time pricing of electricity are key factors in a smart grid as they can increase economic efficiency and technical performances of power grids. This paper focuses on incorporating price-responsive customers in day-ahead scheduling of smart distribution networks under a dynamic pricing environment. A novel method is proposed and formulated as a tractable mixed integer linear programming optimization problem whose objective is to find hourly sale prices offered to customers, transactions (purchase/sale) with the wholesale market, commitment of distribution generation units, dispatch of battery energy storage systems and planning of interruptible loads in a way that the profit of the distribution network operator is maximized while customers’ benefit is guaranteed. To hedge distribution network operator against financial risk arising from uncertainty of wholesale market prices, a risk management model based on a bi-level information-gap decision theory is proposed. The proposed bi-level problem is solved by recasting it into its equivalent single-level robust optimization problem using Karush–Kuhn–Tucker optimality conditions. Performance of the proposed model is verified by applying it to a modified version of the IEEE 33-bus distribution test network. Numerical results demonstrate the effectiveness and efficiency of the proposed method.
Author	Mazidi, Mohammadreza Monsef, Hassan Siano, Pierluigi
Author_xml	– sequence: 1 givenname: Mohammadreza surname: Mazidi fullname: Mazidi, Mohammadreza email: mrezamazidi@ut.ac.ir organization: School of Electrical and Computer Engineering, University of Tehran, Iran – sequence: 2 givenname: Hassan surname: Monsef fullname: Monsef, Hassan email: hmonsef@ut.ac.ir organization: School of Electrical and Computer Engineering, University of Tehran, Iran – sequence: 3 givenname: Pierluigi surname: Siano fullname: Siano, Pierluigi email: psiano@unisa.it organization: Department of Industrial Engineering, University of Salerno, Fisciano, Italy
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References	Aalami, Moghaddam, Yousefi (b0090) 2010; 80 Conejo, Roberto, Enriqne (b0155) 2006 Conejo, Carrión, Morales (b0055) 2010 Sarker, Ortega-Vazquez, Kirschen (b0120) 2015; 6 Bahramirad, Reder, Khodaei (b0135) 2012; 3 Guéret, Prins, Sevaux, Heipcke (b0110) 2002 Zhang, Wang, Wang (b0100) 2015; 105 Cecati, Citro, Siano (b0020) 2011; 58 Zhao, Peng, Nehorai (b0050) 2014; 5 Lu, Hsu (b0125) 1997; 12 Fang, Misra, Xue, Yang (b0010) 2012; 14 Wong, Bhattacharya, Fuller (b0175) 2009; 3 Mohsenian-Rad, Leon-Garcia (b0040) 2010; 1 US Department of Energy. Benefits of demand response in electricity markets and recommendations for achieving them. Report to the United States Congress; February 2006. Available at Ben-Haim (b0150) 2006 Siano (b0080) 2014; 30 Ameren Services. Real-time pricing for residential customers. Availabel at Rezaei, Kalantar (b0140) 2014; 88 Baran, Wu (b0160) 1989; 4 Algarni, Bhattacharya (b0015) 2009; 24 Shirazi, Zakariazadeh, Jadid (b0035) 2015; 106 Morales, Conejo, Pérez-Ruiz (b0130) 2009; 24 Atwa, El-Saadany, Salama, Seethapathy (b0165) 2010; 25 Willy Online Pty Ltd. Available at Papathanassiou S, Hatziargyriou N, Strunz K. A benchmark low voltage microgrid network. In Proceedings of the CIGRE symposium: power systems with dispersed generation; 2005. Eurelectric. The operating environment for distribution companies. Available at Khazali, Kalantar (b0095) 2015; 96 Safdarian, Fotuhi-Firuzabad, Lehtonen (b0060) 2013; 28 Diesel generators specification sheets, Kohler Power Systems company. Available at Camponogara, Campos de Almeida, Hardt (b0115) 2015; 9 Nguyen, Le (b0070) 2015; 6 . Baran, Wu (b0075) 1989; 4 Farhangi (b0005) 2010; 8 The General Algebraic Modeling System (GAMS) Software. Available at Doostizadeh, Ghasemi (b0045) 2012; 46 (2013, July. 19). New York Independent System Operator. Available at Golshannavaz, Afsharnia, Aminifar (b0030) 2014; 5 Zakariazadeh, Jadid, Siano (b0025) 2014; 78 Ortega-Vazquez, Kirschen (b0145) 2009; 24 Mazidi, Zakariazadeh, Jadid, Siano (b0065) 2014; 86 Siano (10.1016/j.enconman.2016.02.030_b0080) 2014; 30 Bahramirad (10.1016/j.enconman.2016.02.030_b0135) 2012; 3 Shirazi (10.1016/j.enconman.2016.02.030_b0035) 2015; 106 Lu (10.1016/j.enconman.2016.02.030_b0125) 1997; 12 Rezaei (10.1016/j.enconman.2016.02.030_b0140) 2014; 88 Mohsenian-Rad (10.1016/j.enconman.2016.02.030_b0040) 2010; 1 Khazali (10.1016/j.enconman.2016.02.030_b0095) 2015; 96 Ben-Haim (10.1016/j.enconman.2016.02.030_b0150) 2006 10.1016/j.enconman.2016.02.030_b0195 Nguyen (10.1016/j.enconman.2016.02.030_b0070) 2015; 6 10.1016/j.enconman.2016.02.030_b0170 10.1016/j.enconman.2016.02.030_b0190 Cecati (10.1016/j.enconman.2016.02.030_b0020) 2011; 58 Conejo (10.1016/j.enconman.2016.02.030_b0155) 2006 10.1016/j.enconman.2016.02.030_b0200 Mazidi (10.1016/j.enconman.2016.02.030_b0065) 2014; 86 Safdarian (10.1016/j.enconman.2016.02.030_b0060) 2013; 28 10.1016/j.enconman.2016.02.030_b0185 Camponogara (10.1016/j.enconman.2016.02.030_b0115) 2015; 9 Doostizadeh (10.1016/j.enconman.2016.02.030_b0045) 2012; 46 Zhang (10.1016/j.enconman.2016.02.030_b0100) 2015; 105 Baran (10.1016/j.enconman.2016.02.030_b0160) 1989; 4 10.1016/j.enconman.2016.02.030_b0105 Morales (10.1016/j.enconman.2016.02.030_b0130) 2009; 24 Wong (10.1016/j.enconman.2016.02.030_b0175) 2009; 3 10.1016/j.enconman.2016.02.030_b0085 Farhangi (10.1016/j.enconman.2016.02.030_b0005) 2010; 8 10.1016/j.enconman.2016.02.030_b0180 Golshannavaz (10.1016/j.enconman.2016.02.030_b0030) 2014; 5 Sarker (10.1016/j.enconman.2016.02.030_b0120) 2015; 6 Ortega-Vazquez (10.1016/j.enconman.2016.02.030_b0145) 2009; 24 Atwa (10.1016/j.enconman.2016.02.030_b0165) 2010; 25 Baran (10.1016/j.enconman.2016.02.030_b0075) 1989; 4 Guéret (10.1016/j.enconman.2016.02.030_b0110) 2002 Algarni (10.1016/j.enconman.2016.02.030_b0015) 2009; 24 Aalami (10.1016/j.enconman.2016.02.030_b0090) 2010; 80 Fang (10.1016/j.enconman.2016.02.030_b0010) 2012; 14 Zakariazadeh (10.1016/j.enconman.2016.02.030_b0025) 2014; 78 Conejo (10.1016/j.enconman.2016.02.030_b0055) 2010 Zhao (10.1016/j.enconman.2016.02.030_b0050) 2014; 5
References_xml	– reference: Willy Online Pty Ltd. Available at: < – reference: Ameren Services. Real-time pricing for residential customers. Availabel at: < – reference: (2013, July. 19). New York Independent System Operator. Available at: < – year: 2006 ident: b0150 article-title: Info-gap decision theory, designs under severe uncertainty – reference: Papathanassiou S, Hatziargyriou N, Strunz K. A benchmark low voltage microgrid network. In Proceedings of the CIGRE symposium: power systems with dispersed generation; 2005. – volume: 3 start-page: 1061 year: 2009 end-page: 1078 ident: b0175 article-title: Electric power distribution system design and planning in a deregulated environment publication-title: IET Gener Transm Distrib – volume: 30 start-page: 461 year: 2014 end-page: 478 ident: b0080 article-title: Demand response and smart grids—A survey publication-title: Renew Sustain Energy Rev – volume: 24 start-page: 356 year: 2009 end-page: 367 ident: b0015 article-title: A generic operations framework for Discos in retail electricity markets publication-title: IEEE Trans Power Syst – volume: 1 start-page: 120 year: 2010 end-page: 133 ident: b0040 article-title: Optimal residential load control with price prediction in real-time electricity pricing environments publication-title: IEEE Trans Smart Grid – volume: 46 start-page: 221 year: 2012 end-page: 230 ident: b0045 article-title: A day-ahead electricity pricing model based on smart metering and demand-side management publication-title: Energy – volume: 12 start-page: 681 year: 1997 end-page: 688 ident: b0125 article-title: Fuzzy dynamic programming approach to reactive power/voltage control in a distribution substation publication-title: IEEE Trans Power Syst – year: 2010 ident: b0055 article-title: Decision making under uncertainty in electricity markets – volume: 96 start-page: 242 year: 2015 end-page: 257 ident: b0095 article-title: Spinning reserve quantification by a stochastic–probabilistic scheme for smart power systems with high wind penetration publication-title: Energy Convers Manage – volume: 105 start-page: 675 year: 2015 end-page: 684 ident: b0100 article-title: An improved charging/discharging strategy of lithium batteries considering depreciation cost in day-ahead microgrid scheduling publication-title: Energy Convers Manage – volume: 4 start-page: 725 year: 1989 end-page: 734 ident: b0075 article-title: Optimal capacitor placement on radial distribution systems publication-title: IEEE Trans Power Del – volume: 78 start-page: 151 year: 2014 end-page: 164 ident: b0025 article-title: Economic-environmental energy and reserve scheduling of smart distribution systems: a multi-objective mathematical programming approach publication-title: Energy Convers Manage – volume: 28 start-page: 4712 year: 2013 end-page: 4721 ident: b0060 article-title: A stochastic framework for short-term operation of a distribution company publication-title: IEEE Trans Power Syst – reference: Eurelectric. The operating environment for distribution companies. Available at: < – volume: 24 start-page: 114 year: 2009 end-page: 123 ident: b0145 article-title: Estimating the spinning reserve requirements in systems with significant wind power generation penetration publication-title: IEEE Trans Power Syst – volume: 6 start-page: 135 year: 2015 end-page: 146 ident: b0070 article-title: Risk-constrained profit maximization for microgrid aggregators with demand response publication-title: IEEE Trans Smart Grid – volume: 86 start-page: 1118 year: 2014 end-page: 1127 ident: b0065 article-title: Integrated scheduling of renewable generation and demand response programs in a microgrid publication-title: Energy Convers Manage – volume: 14 start-page: 944 year: 2012 end-page: 980 ident: b0010 article-title: Smart grid—the new and improved power grid: A survey publication-title: IEEE Commun Surv Tut – year: 2002 ident: b0110 article-title: Applications of optimization with XpressMP – volume: 24 start-page: 900 year: 2009 end-page: 910 ident: b0130 article-title: Economic valuation of reserves in power systems with high penetration of wind power publication-title: IEEE Trans Power Syst – volume: 25 start-page: 360 year: 2010 end-page: 370 ident: b0165 article-title: Optimal renewable resources mix for distribution system energy loss minimization publication-title: IEEE Trans Power Syst – reference: Diesel generators specification sheets, Kohler Power Systems company. Available at: < – reference: The General Algebraic Modeling System (GAMS) Software. Available at: < – volume: 3 start-page: 2056 year: 2012 end-page: 2062 ident: b0135 article-title: Reliability-constrained optimal sizing of energy storage system in a microgrid publication-title: IEEE Trans Smart Grid – reference: US Department of Energy. Benefits of demand response in electricity markets and recommendations for achieving them. Report to the United States Congress; February 2006. Available at: < – volume: 106 start-page: 181 year: 2015 end-page: 193 ident: b0035 article-title: Optimal joint scheduling of electrical and thermal appliances in a smart home environment publication-title: Energy Convers Manage – reference: >. – volume: 58 start-page: 4514 year: 2011 end-page: 4525 ident: b0020 article-title: Smart operation of wind turbines and diesel generators according to economic criteria publication-title: IEEE Trans Ind Electron – year: 2006 ident: b0155 article-title: Decomposition techniques in mathematical programming – volume: 5 start-page: 861 year: 2014 end-page: 869 ident: b0050 article-title: An optimal and distributed demand response strategy with electric vehicles in the smart grid publication-title: IEEE Trans Smart Grid – volume: 8 start-page: 1828 year: 2010 ident: b0005 article-title: The path of the smart grid publication-title: IEEE Power Energy Mag – volume: 5 start-page: 2402 year: 2014 end-page: 2411 ident: b0030 article-title: Smart distribution grid: optimal day-ahead scheduling with reconfigurable topology publication-title: IEEE Trans Smart Grid – volume: 80 start-page: 426 year: 2010 end-page: 435 ident: b0090 article-title: Modeling and prioritizing demand response programs in power markets publication-title: Electr Power Syst Res – volume: 88 start-page: 498 year: 2014 end-page: 515 ident: b0140 article-title: Economic–environmental hierarchical frequency management of a droop-controlled islanded microgrid publication-title: Energy Convers Manage – volume: 9 start-page: 1235 year: 2015 end-page: 1244 ident: b0115 article-title: Piecewise-linear approximations for a non-linear transmission expansion planning problem publication-title: IET Gener Transm Distrib – volume: 6 start-page: 1341 year: 2015 end-page: 1352 ident: b0120 article-title: Optimal coordination and scheduling of demand response via monetary incentives publication-title: IEEE Trans Smart Grid – volume: 4 start-page: 1401 year: 1989 end-page: 1407 ident: b0160 article-title: Network reconfiguration in distribution systems for loss reduction and load balancing publication-title: IEEE Trans Power Del – volume: 24 start-page: 114 issue: 1 year: 2009 ident: 10.1016/j.enconman.2016.02.030_b0145 article-title: Estimating the spinning reserve requirements in systems with significant wind power generation penetration publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2008.2004745 – ident: 10.1016/j.enconman.2016.02.030_b0085 – volume: 30 start-page: 461 year: 2014 ident: 10.1016/j.enconman.2016.02.030_b0080 article-title: Demand response and smart grids—A survey publication-title: Renew Sustain Energy Rev doi: 10.1016/j.rser.2013.10.022 – volume: 24 start-page: 356 issue: 1 year: 2009 ident: 10.1016/j.enconman.2016.02.030_b0015 article-title: A generic operations framework for Discos in retail electricity markets publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2008.2007001 – year: 2006 ident: 10.1016/j.enconman.2016.02.030_b0150 – volume: 6 start-page: 1341 issue: 3 year: 2015 ident: 10.1016/j.enconman.2016.02.030_b0120 article-title: Optimal coordination and scheduling of demand response via monetary incentives publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2014.2375067 – volume: 24 start-page: 900 issue: 2 year: 2009 ident: 10.1016/j.enconman.2016.02.030_b0130 article-title: Economic valuation of reserves in power systems with high penetration of wind power publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2009.2016598 – volume: 58 start-page: 4514 issue: 10 year: 2011 ident: 10.1016/j.enconman.2016.02.030_b0020 article-title: Smart operation of wind turbines and diesel generators according to economic criteria publication-title: IEEE Trans Ind Electron doi: 10.1109/TIE.2011.2106100 – volume: 14 start-page: 944 issue: 4 year: 2012 ident: 10.1016/j.enconman.2016.02.030_b0010 article-title: Smart grid—the new and improved power grid: A survey publication-title: IEEE Commun Surv Tut doi: 10.1109/SURV.2011.101911.00087 – volume: 1 start-page: 120 issue: 2 year: 2010 ident: 10.1016/j.enconman.2016.02.030_b0040 article-title: Optimal residential load control with price prediction in real-time electricity pricing environments publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2010.2055903 – volume: 5 start-page: 2402 issue: 5 year: 2014 ident: 10.1016/j.enconman.2016.02.030_b0030 article-title: Smart distribution grid: optimal day-ahead scheduling with reconfigurable topology publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2014.2335815 – volume: 5 start-page: 861 issue: 2 year: 2014 ident: 10.1016/j.enconman.2016.02.030_b0050 article-title: An optimal and distributed demand response strategy with electric vehicles in the smart grid publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2013.2291330 – volume: 28 start-page: 4712 issue: 4 year: 2013 ident: 10.1016/j.enconman.2016.02.030_b0060 article-title: A stochastic framework for short-term operation of a distribution company publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2013.2278076 – year: 2010 ident: 10.1016/j.enconman.2016.02.030_b0055 – volume: 9 start-page: 1235 issue: 12 year: 2015 ident: 10.1016/j.enconman.2016.02.030_b0115 article-title: Piecewise-linear approximations for a non-linear transmission expansion planning problem publication-title: IET Gener Transm Distrib doi: 10.1049/iet-gtd.2014.0818 – volume: 80 start-page: 426 year: 2010 ident: 10.1016/j.enconman.2016.02.030_b0090 article-title: Modeling and prioritizing demand response programs in power markets publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2009.10.007 – volume: 88 start-page: 498 year: 2014 ident: 10.1016/j.enconman.2016.02.030_b0140 article-title: Economic–environmental hierarchical frequency management of a droop-controlled islanded microgrid publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2014.08.054 – ident: 10.1016/j.enconman.2016.02.030_b0190 – ident: 10.1016/j.enconman.2016.02.030_b0170 – ident: 10.1016/j.enconman.2016.02.030_b0195 – volume: 25 start-page: 360 issue: 1 year: 2010 ident: 10.1016/j.enconman.2016.02.030_b0165 article-title: Optimal renewable resources mix for distribution system energy loss minimization publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2009.2030276 – volume: 8 start-page: 1828 issue: 3 year: 2010 ident: 10.1016/j.enconman.2016.02.030_b0005 article-title: The path of the smart grid publication-title: IEEE Power Energy Mag – volume: 86 start-page: 1118 year: 2014 ident: 10.1016/j.enconman.2016.02.030_b0065 article-title: Integrated scheduling of renewable generation and demand response programs in a microgrid publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2014.06.078 – ident: 10.1016/j.enconman.2016.02.030_b0200 – volume: 96 start-page: 242 year: 2015 ident: 10.1016/j.enconman.2016.02.030_b0095 article-title: Spinning reserve quantification by a stochastic–probabilistic scheme for smart power systems with high wind penetration publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2015.02.070 – volume: 4 start-page: 1401 issue: 2 year: 1989 ident: 10.1016/j.enconman.2016.02.030_b0160 article-title: Network reconfiguration in distribution systems for loss reduction and load balancing publication-title: IEEE Trans Power Del doi: 10.1109/61.25627 – ident: 10.1016/j.enconman.2016.02.030_b0180 – ident: 10.1016/j.enconman.2016.02.030_b0185 – volume: 4 start-page: 725 issue: 1 year: 1989 ident: 10.1016/j.enconman.2016.02.030_b0075 article-title: Optimal capacitor placement on radial distribution systems publication-title: IEEE Trans Power Del doi: 10.1109/61.19265 – volume: 6 start-page: 135 issue: 1 year: 2015 ident: 10.1016/j.enconman.2016.02.030_b0070 article-title: Risk-constrained profit maximization for microgrid aggregators with demand response publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2014.2346024 – year: 2002 ident: 10.1016/j.enconman.2016.02.030_b0110 – volume: 3 start-page: 2056 issue: 4 year: 2012 ident: 10.1016/j.enconman.2016.02.030_b0135 article-title: Reliability-constrained optimal sizing of energy storage system in a microgrid publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2012.2217991 – volume: 46 start-page: 221 issue: 1 year: 2012 ident: 10.1016/j.enconman.2016.02.030_b0045 article-title: A day-ahead electricity pricing model based on smart metering and demand-side management publication-title: Energy doi: 10.1016/j.energy.2012.08.029 – volume: 78 start-page: 151 year: 2014 ident: 10.1016/j.enconman.2016.02.030_b0025 article-title: Economic-environmental energy and reserve scheduling of smart distribution systems: a multi-objective mathematical programming approach publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2013.10.051 – volume: 106 start-page: 181 year: 2015 ident: 10.1016/j.enconman.2016.02.030_b0035 article-title: Optimal joint scheduling of electrical and thermal appliances in a smart home environment publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2015.09.017 – ident: 10.1016/j.enconman.2016.02.030_b0105 – volume: 105 start-page: 675 year: 2015 ident: 10.1016/j.enconman.2016.02.030_b0100 article-title: An improved charging/discharging strategy of lithium batteries considering depreciation cost in day-ahead microgrid scheduling publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2015.07.079 – volume: 12 start-page: 681 issue: 2 year: 1997 ident: 10.1016/j.enconman.2016.02.030_b0125 article-title: Fuzzy dynamic programming approach to reactive power/voltage control in a distribution substation publication-title: IEEE Trans Power Syst doi: 10.1109/59.589651 – volume: 3 start-page: 1061 issue: 12 year: 2009 ident: 10.1016/j.enconman.2016.02.030_b0175 article-title: Electric power distribution system design and planning in a deregulated environment publication-title: IET Gener Transm Distrib doi: 10.1049/iet-gtd.2008.0553 – year: 2006 ident: 10.1016/j.enconman.2016.02.030_b0155
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Snippet	•Proposing a model for incorporating price-responsive customers in day-ahead scheduling of smart distribution networks; this model provides a win–win... Demand response and real-time pricing of electricity are key factors in a smart grid as they can increase economic efficiency and technical performances of...
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SubjectTerms	batteries consumers (people) Customers Demand response Distribution management electricity energy Information-gap decision theory linear programming market prices Markets Mathematical models Networks Optimization planning Pricing Real-time pricing risk Risk management Sales Smart distribution network Uncertainty wholesale marketing
Title	Incorporating price-responsive customers in day-ahead scheduling of smart distribution networks
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