Stochastic security constrained unit commitment incorporating demand side reserve

•An energy and reserve market based on two-stage stochastic programming is proposed.•Spinning and demand side reserves are considered as operating reserve services.•Demand side (DS) reserve is modeled as emergency demand response program.•Demand side reserve causes reducing cost and increasing relia...

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Published in:International journal of electrical power & energy systems Vol. 56; pp. 175 - 184
Main Authors: Sahebi, Mir Mohammad Reza, Hosseini, Seyed Hamid
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01.03.2014
Elsevier
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ISSN:0142-0615, 1879-3517
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Abstract •An energy and reserve market based on two-stage stochastic programming is proposed.•Spinning and demand side reserves are considered as operating reserve services.•Demand side (DS) reserve is modeled as emergency demand response program.•Demand side reserve causes reducing cost and increasing reliability significantly.•Increasing incentive price and electricity price would increase DS participation. Increasing the social welfare and achieving real competitive markets are the main purposes of consumers participation in electricity markets. Hence, Demand Response Programs (DRPs) have been designed to consider the consumers participation. One of these programs named Emergency Demand Response Program (EDRP) is based on consumers’ responses to high electricity prices and to the incentives that are paid by Independent System Operators (ISOs) in the critical hours. In this paper, a model has been proposed for EDRP participation in the Stochastic Security Constrained Unit Commitment (SCUC) program. Both the spinning reserve and the demand side reserve, which is modeled as EDRP, are taken into account as the operating reserve services. The effects of EDRP and its parameters on the system operation cost have been investigated under power system uncertainties. The two-stage stochastic SCUC model has been utilized for simultaneous clearing of energy and reserve markets. Mixed Integer Linear Programming (MILP) has been used for modeling the proposed method in the GAMS (General Algebraic Modeling System) environment. The proposed model is applied to a 6-bus test system and a modified IEEE Reliability Test System (RTS) to demonstrate its effectiveness.
AbstractList Increasing the social welfare and achieving real competitive markets are the main purposes of consumers participation in electricity markets. Hence, Demand Response Programs (DRPs) have been designed to consider the consumers participation. One of these programs named Emergency Demand Response Program (EDRP) is based on consumers' responses to high electricity prices and to the incentives that are paid by Independent System Operators (ISOs) in the critical hours. In this paper, a model has been proposed for EDRP participation in the Stochastic Security Constrained Unit Commitment (SCUC) program. Both the spinning reserve and the demand side reserve, which is modeled as EDRP, are taken into account as the operating reserve services. The effects of EDRP and its parameters on the system operation cost have been investigated under power system uncertainties. The two-stage stochastic SCUC model has been utilized for simultaneous clearing of energy and reserve markets. Mixed Integer Linear Programming (MILP) has been used for modeling the proposed method in the GAMS (General Algebraic Modeling System) environment. The proposed model is applied to a 6-bus test system and a modified IEEE Reliability Test System (RTS) to demonstrate its effectiveness.
•An energy and reserve market based on two-stage stochastic programming is proposed.•Spinning and demand side reserves are considered as operating reserve services.•Demand side (DS) reserve is modeled as emergency demand response program.•Demand side reserve causes reducing cost and increasing reliability significantly.•Increasing incentive price and electricity price would increase DS participation. Increasing the social welfare and achieving real competitive markets are the main purposes of consumers participation in electricity markets. Hence, Demand Response Programs (DRPs) have been designed to consider the consumers participation. One of these programs named Emergency Demand Response Program (EDRP) is based on consumers’ responses to high electricity prices and to the incentives that are paid by Independent System Operators (ISOs) in the critical hours. In this paper, a model has been proposed for EDRP participation in the Stochastic Security Constrained Unit Commitment (SCUC) program. Both the spinning reserve and the demand side reserve, which is modeled as EDRP, are taken into account as the operating reserve services. The effects of EDRP and its parameters on the system operation cost have been investigated under power system uncertainties. The two-stage stochastic SCUC model has been utilized for simultaneous clearing of energy and reserve markets. Mixed Integer Linear Programming (MILP) has been used for modeling the proposed method in the GAMS (General Algebraic Modeling System) environment. The proposed model is applied to a 6-bus test system and a modified IEEE Reliability Test System (RTS) to demonstrate its effectiveness.
Author Hosseini, Seyed Hamid
Sahebi, Mir Mohammad Reza
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Cites_doi 10.1109/TPWRS.2005.857016
10.1109/PES.2006.1708965
10.1109/TSG.2010.2046430
10.1109/ICPST.2006.321461
10.1109/TDC.2008.4517059
10.1109/PTC.2009.5281812
10.1109/59.898098
10.1109/TPWRS.2009.2023259
10.1109/59.651628
10.1016/j.ijepes.2010.12.018
10.1016/j.apenergy.2009.05.041
10.1109/TSG.2011.2105287
10.1109/TPWRS.2007.894843
10.1109/PECON.2008.4762675
10.1109/TPWRS.2008.926719
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Keywords Emergency demand response program
Demand side reserve
Two-stage mixed integer linear programming
Stochastic security constrained unit commitment
Performance evaluation
Dispatching problem
Stochastic model
Costs
Power system economics
Power distribution planning
Modeling
Welfare
Power markets
IEEE standards
ISO standard
Safety
Emergency system
Multistage method
Spinning reserve
Power system planning
Mixed integer programming
Forecasting management
Bus system
Electrical network
Open market
Effectiveness factor
Reliability
Language English
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References GAMS user guide.
Aazami, Aflaki, Haghifam (b0010) 2011; 33
Benefits of demand response in electricity markets and recommendations for achieving them. U.S. Department of Energy; 2006.
Kim DH, Kim DM, Kim JO. Determination of the optimal incentives and amount of load reduction for a retailer to maximize profits considering demand response programs. In: Proc 2008 IEEE int conf power energy; 2008. p. 1290–5.
Federal Energy Regulatory Commission Staff. Assessment of demand response and advanced metering. Docket AD-06-2-000; 2006.
Wang, Pordanjani, Xu (b0090) 2011; 2
Alami HA, Parsa Moghaddam M, Yousefi G. Optimum time of use program proposal for Iranian power systems. In: IEEE electric power and energy conversion systems conference; 2009.
Parvania, Fotuhi Firuzabad (b0120) 2010; 1
Alami, Parsa Moghaddam, Yousefi (b0055) 2010
Kirschen, Strbac (b0125) 2004
Federal Energy Regulatory Commission. Wholesale competition in regions with organized electric markets. FERC order no. 719.
Yu Na, Yu Ji-Lai. Optimal TOU decision considering demand response model. In: IEEE international conference on power system technology; 2006.
Emergency demand response program manual. New York Independent System Operator (NYISO).
Day-Ahead demand response program manual. New York Independent System Operator (NYISO).
Goel L, Wu Q, Wang P. Reliability enhancement of a deregulated power system considering demand response. IEEE PES general meeting; 2006.
Wu, Shahidehpour, Li (b0105) 2007; 22
Kall, Wallace (b0110) 1994
.
Fahliglu, Alvarado (b0025) 2000; 15
Su, Kirschen (b0115) 2009; 24
Azami R, Abbasi, Shakeri J, Faraji Fard A. Impact of EDRP on composite reliability of restructured power systems. In: IEEE Bucharest power tech conference; 2009.
Bouffard, Galiana, Conejo (b0100) 2005; 20
Wang, Shahidehpour, Li (b0135) 2008; 23
Billinton, Allan (b0145) 1996
Federal Energy Regulatory Commission. Regulatory commission survey on demand response and time based rate programs/tariffs; August 2006.
Roos, Lane (b0130) 1998; 13
Scheduling operations manual. Pennsylvania–New Jersey–Maryland (PJM) Interconnection.
Alami HA, Yousefi G, Parsa Moghaddam M. Demand response model considering EDRP and TOU programs. In: IEEE PES transmission and distribution conference and exposition; 2008.
Reliability Test System Task Force. The IEEE reliability test system-1996. IEEE Trans Power Syst 1999; 14(3): 1010–20.
Reliability demand response product implementation plan. California Independent System Operator (CAISO).
Kia M, Sahebi M, Abedini E, Hosseini SH. Simultaneous implementation of optimal demand response and security constrained unit commitment. In: IEEE 16th conference on electrical power distribution networks; 2011.
10.1016/j.ijepes.2013.11.017_b0070
Kirschen (10.1016/j.ijepes.2013.11.017_b0125) 2004
Billinton (10.1016/j.ijepes.2013.11.017_b0145) 1996
Aazami (10.1016/j.ijepes.2013.11.017_b0010) 2011; 33
Wang (10.1016/j.ijepes.2013.11.017_b0135) 2008; 23
Fahliglu (10.1016/j.ijepes.2013.11.017_b0025) 2000; 15
Kall (10.1016/j.ijepes.2013.11.017_b0110) 1994
10.1016/j.ijepes.2013.11.017_b0005
10.1016/j.ijepes.2013.11.017_b0065
10.1016/j.ijepes.2013.11.017_b0045
Wang (10.1016/j.ijepes.2013.11.017_b0090) 2011; 2
10.1016/j.ijepes.2013.11.017_b0040
10.1016/j.ijepes.2013.11.017_b0085
10.1016/j.ijepes.2013.11.017_b0140
10.1016/j.ijepes.2013.11.017_b0020
Roos (10.1016/j.ijepes.2013.11.017_b0130) 1998; 13
10.1016/j.ijepes.2013.11.017_b0080
10.1016/j.ijepes.2013.11.017_b0060
Alami (10.1016/j.ijepes.2013.11.017_b0055) 2010
Bouffard (10.1016/j.ijepes.2013.11.017_b0100) 2005; 20
Su (10.1016/j.ijepes.2013.11.017_b0115) 2009; 24
10.1016/j.ijepes.2013.11.017_b0015
Wu (10.1016/j.ijepes.2013.11.017_b0105) 2007; 22
Parvania (10.1016/j.ijepes.2013.11.017_b0120) 2010; 1
10.1016/j.ijepes.2013.11.017_b0035
10.1016/j.ijepes.2013.11.017_b0050
10.1016/j.ijepes.2013.11.017_b0095
10.1016/j.ijepes.2013.11.017_b0150
10.1016/j.ijepes.2013.11.017_b0030
10.1016/j.ijepes.2013.11.017_b0075
References_xml – reference: Goel L, Wu Q, Wang P. Reliability enhancement of a deregulated power system considering demand response. IEEE PES general meeting; 2006.
– reference: Kim DH, Kim DM, Kim JO. Determination of the optimal incentives and amount of load reduction for a retailer to maximize profits considering demand response programs. In: Proc 2008 IEEE int conf power energy; 2008. p. 1290–5.
– reference: Kia M, Sahebi M, Abedini E, Hosseini SH. Simultaneous implementation of optimal demand response and security constrained unit commitment. In: IEEE 16th conference on electrical power distribution networks; 2011.
– reference: Federal Energy Regulatory Commission. Regulatory commission survey on demand response and time based rate programs/tariffs; August 2006. <
– reference: Emergency demand response program manual. New York Independent System Operator (NYISO). <
– reference: Azami R, Abbasi, Shakeri J, Faraji Fard A. Impact of EDRP on composite reliability of restructured power systems. In: IEEE Bucharest power tech conference; 2009.
– year: 1996
  ident: b0145
  article-title: Reliability evaluation of power systems
– volume: 23
  start-page: 1319
  year: 2008
  end-page: 1327
  ident: b0135
  article-title: Security constrained unit commitment with volatile wind power generation
  publication-title: IEEE Trans Power Syst
– reference: Federal Energy Regulatory Commission. Wholesale competition in regions with organized electric markets. FERC order no. 719. <
– reference: Benefits of demand response in electricity markets and recommendations for achieving them. U.S. Department of Energy; 2006.
– reference: Federal Energy Regulatory Commission Staff. Assessment of demand response and advanced metering. Docket AD-06-2-000; 2006. <
– volume: 2
  start-page: 23
  year: 2011
  end-page: 29
  ident: b0090
  article-title: An event-driven demand response scheme for power system security enhancement
  publication-title: IEEE Trans Smart Grid
– reference: Reliability Test System Task Force. The IEEE reliability test system-1996. IEEE Trans Power Syst 1999; 14(3): 1010–20.
– volume: 20
  start-page: 1818
  year: 2005
  end-page: 1826
  ident: b0100
  article-title: Market-clearing with stochastic security—Part I: formulation
  publication-title: IEEE Trans Power Syst
– year: 1994
  ident: b0110
  article-title: Stochastic programming
– start-page: 243
  year: 2010
  end-page: 250
  ident: b0055
  article-title: Demand response modeling considering interruptible/curtailable loads and capacity market programs
  publication-title: Appl Energy
– volume: 33
  start-page: 1125
  year: 2011
  end-page: 1132
  ident: b0010
  article-title: A demand response based solution for LMP management in power markets
  publication-title: Int J Electr Power Energy Syst
– reference: Yu Na, Yu Ji-Lai. Optimal TOU decision considering demand response model. In: IEEE international conference on power system technology; 2006.
– year: 2004
  ident: b0125
  article-title: Fundamentals of power system economics
– reference: GAMS user guide. <
– reference: Day-Ahead demand response program manual. New York Independent System Operator (NYISO). <
– reference: >.
– reference: Alami HA, Parsa Moghaddam M, Yousefi G. Optimum time of use program proposal for Iranian power systems. In: IEEE electric power and energy conversion systems conference; 2009.
– volume: 15
  start-page: 1255
  year: 2000
  end-page: 1260
  ident: b0025
  article-title: Designing incentive compatible contracts for effective demand management
  publication-title: IEEE Trans Power Syst
– volume: 1
  start-page: 89
  year: 2010
  end-page: 98
  ident: b0120
  article-title: Demand response scheduling by stochastic SCUC
  publication-title: IEEE Trans Smart Grid
– volume: 24
  start-page: 1199
  year: 2009
  end-page: 1207
  ident: b0115
  article-title: Quantifying the effect of demand response on electricity markets
  publication-title: IEEE Trans Power Syst
– reference: Reliability demand response product implementation plan. California Independent System Operator (CAISO). <
– reference: Scheduling operations manual. Pennsylvania–New Jersey–Maryland (PJM) Interconnection. <
– reference: Alami HA, Yousefi G, Parsa Moghaddam M. Demand response model considering EDRP and TOU programs. In: IEEE PES transmission and distribution conference and exposition; 2008.
– volume: 22
  start-page: 800
  year: 2007
  end-page: 811
  ident: b0105
  article-title: Stochastic security-constrained unit commitment
  publication-title: IEEE Trans Power Syst
– volume: 13
  start-page: 159
  year: 1998
  end-page: 164
  ident: b0130
  article-title: Industrial power demand response analysis for one port real time pricing
  publication-title: IEEE Trans Power Syst
– volume: 20
  start-page: 1818
  issue: 4
  year: 2005
  ident: 10.1016/j.ijepes.2013.11.017_b0100
  article-title: Market-clearing with stochastic security—Part I: formulation
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2005.857016
– ident: 10.1016/j.ijepes.2013.11.017_b0075
  doi: 10.1109/PES.2006.1708965
– year: 1996
  ident: 10.1016/j.ijepes.2013.11.017_b0145
– ident: 10.1016/j.ijepes.2013.11.017_b0150
– ident: 10.1016/j.ijepes.2013.11.017_b0020
– volume: 1
  start-page: 89
  issue: 1
  year: 2010
  ident: 10.1016/j.ijepes.2013.11.017_b0120
  article-title: Demand response scheduling by stochastic SCUC
  publication-title: IEEE Trans Smart Grid
  doi: 10.1109/TSG.2010.2046430
– ident: 10.1016/j.ijepes.2013.11.017_b0045
– ident: 10.1016/j.ijepes.2013.11.017_b0060
  doi: 10.1109/ICPST.2006.321461
– ident: 10.1016/j.ijepes.2013.11.017_b0065
  doi: 10.1109/TDC.2008.4517059
– ident: 10.1016/j.ijepes.2013.11.017_b0085
  doi: 10.1109/PTC.2009.5281812
– volume: 15
  start-page: 1255
  issue: 4
  year: 2000
  ident: 10.1016/j.ijepes.2013.11.017_b0025
  article-title: Designing incentive compatible contracts for effective demand management
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/59.898098
– volume: 24
  start-page: 1199
  issue: 3
  year: 2009
  ident: 10.1016/j.ijepes.2013.11.017_b0115
  article-title: Quantifying the effect of demand response on electricity markets
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2009.2023259
– ident: 10.1016/j.ijepes.2013.11.017_b0005
– ident: 10.1016/j.ijepes.2013.11.017_b0030
– volume: 13
  start-page: 159
  issue: 1
  year: 1998
  ident: 10.1016/j.ijepes.2013.11.017_b0130
  article-title: Industrial power demand response analysis for one port real time pricing
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/59.651628
– volume: 33
  start-page: 1125
  issue: 5
  year: 2011
  ident: 10.1016/j.ijepes.2013.11.017_b0010
  article-title: A demand response based solution for LMP management in power markets
  publication-title: Int J Electr Power Energy Syst
  doi: 10.1016/j.ijepes.2010.12.018
– ident: 10.1016/j.ijepes.2013.11.017_b0070
– ident: 10.1016/j.ijepes.2013.11.017_b0095
– year: 1994
  ident: 10.1016/j.ijepes.2013.11.017_b0110
– start-page: 243
  year: 2010
  ident: 10.1016/j.ijepes.2013.11.017_b0055
  article-title: Demand response modeling considering interruptible/curtailable loads and capacity market programs
  publication-title: Appl Energy
  doi: 10.1016/j.apenergy.2009.05.041
– ident: 10.1016/j.ijepes.2013.11.017_b0015
– ident: 10.1016/j.ijepes.2013.11.017_b0040
– volume: 2
  start-page: 23
  issue: 1
  year: 2011
  ident: 10.1016/j.ijepes.2013.11.017_b0090
  article-title: An event-driven demand response scheme for power system security enhancement
  publication-title: IEEE Trans Smart Grid
  doi: 10.1109/TSG.2011.2105287
– volume: 22
  start-page: 800
  issue: 2
  year: 2007
  ident: 10.1016/j.ijepes.2013.11.017_b0105
  article-title: Stochastic security-constrained unit commitment
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2007.894843
– year: 2004
  ident: 10.1016/j.ijepes.2013.11.017_b0125
– ident: 10.1016/j.ijepes.2013.11.017_b0140
– ident: 10.1016/j.ijepes.2013.11.017_b0050
– ident: 10.1016/j.ijepes.2013.11.017_b0035
– ident: 10.1016/j.ijepes.2013.11.017_b0080
  doi: 10.1109/PECON.2008.4762675
– volume: 23
  start-page: 1319
  issue: 3
  year: 2008
  ident: 10.1016/j.ijepes.2013.11.017_b0135
  article-title: Security constrained unit commitment with volatile wind power generation
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2008.926719
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Snippet •An energy and reserve market based on two-stage stochastic programming is proposed.•Spinning and demand side reserves are considered as operating reserve...
Increasing the social welfare and achieving real competitive markets are the main purposes of consumers participation in electricity markets. Hence, Demand...
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StartPage 175
SubjectTerms Applied sciences
Constraints
Consumers
Demand
Demand side reserve
Electric power generation
Electrical engineering. Electrical power engineering
Electrical power engineering
Emergency demand response program
Exact sciences and technology
Markets
Miscellaneous
Operation. Load control. Reliability
Power networks and lines
Reserves
Security
Stochastic security constrained unit commitment
Stochasticity
Two-stage mixed integer linear programming
Title Stochastic security constrained unit commitment incorporating demand side reserve
URI https://dx.doi.org/10.1016/j.ijepes.2013.11.017
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