Demand side management in power grid enterprise control: A comparison of industrial & social welfare approaches
暂无分享,去创建一个
Aramazd Muzhikyan | Kamal Youcef-Toumi | Amro M. Farid | Bo Jiang | K. Youcef-Toumi | A. Farid | A. Muzhikyan | B. Jiang
[1] J. Watson,et al. Multi-Stage Robust Unit Commitment Considering Wind and Demand Response Uncertainties , 2013, IEEE Transactions on Power Systems.
[2] Donald J. Hammerstrom,et al. Standardization of a Hierarchical Transactive Control System , 2010 .
[3] D. A. Halamay,et al. Reserve Requirement Impacts of Large-Scale Integration of Wind, Solar, and Ocean Wave Power Generation , 2010, IEEE Transactions on Sustainable Energy.
[4] Munther A. Dahleh,et al. On the stability of wholesale electricity markets under real-time pricing , 2010, 49th IEEE Conference on Decision and Control (CDC).
[5] Ilkka Seilonen,et al. Optimized Control of Price-Based Demand Response With Electric Storage Space Heating , 2015, IEEE Transactions on Industrial Informatics.
[6] Aramazd Muzhikyan,et al. An enhanced method for the determination of the regulation reserves , 2015, 2015 American Control Conference (ACC).
[7] Zhao Yang Dong,et al. Optimal operation of DES/CCHP based regional multi-energy prosumer with demand response , 2016 .
[8] K. Sathish Kumar,et al. A survey on residential Demand Side Management architecture, approaches, optimization models and methods , 2016 .
[9] V. Quintana,et al. A tutorial description of an interior point method and its applications to security-constrained economic dispatch , 1993 .
[10] Hossein Darvish,et al. Integration of demand side management in security constrained energy and reserve market , 2015, 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).
[11] H. Chao. Demand response in wholesale electricity markets: the choice of customer baseline , 2011 .
[12] Zhongfu Tan,et al. A bi-level stochastic scheduling optimization model for a virtual power plant connected to a wind–photovoltaic–energy storage system considering the uncertainty and demand response , 2016 .
[13] Aramazd Muzhikyan,et al. An a priori analytical method for the determination of operating reserve requirements , 2017 .
[14] Mark O'Malley,et al. Challenges and barriers to demand response deployment and evaluation , 2015 .
[15] Hassan Soltan,et al. A methodology for Electric Power Load Forecasting , 2011 .
[16] Kenneth Bruninx,et al. A Statistical Description of the Error on Wind Power Forecasts for Probabilistic Reserve Sizing , 2014, IEEE Transactions on Sustainable Energy.
[17] Hailong Li,et al. Study on the promotion impact of demand response on distributed PV penetration by using non-cooperative game theoretical analysis , 2017 .
[18] Johan Driesen,et al. Dynamic operating reserve strategies for wind power integration , 2014 .
[19] Xinghuo Yu,et al. Efficient Computation for Sparse Load Shifting in Demand Side Management , 2017, IEEE Transactions on Smart Grid.
[20] Peter Palensky,et al. Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.
[21] Juha Jokisalo,et al. Cost-optimal thermal energy storage system for a residential building with heat pump heating and demand response control , 2016 .
[22] Aramazd Muzhikyan,et al. Relative merits of load following reserves & energy storage market integration towards power system imbalances , 2016 .
[23] Ruzhu Wang,et al. Thermal energy storage coupled with PV panels for demand side management of industrial building cooling loads , 2017 .
[24] Mark O'Malley,et al. Evolution of operating reserve determination in wind power integration studies , 2010, IEEE PES General Meeting.
[25] Bo Jiang,et al. The need for holistic enterprise control assessment methods for the future electricity grid , 2016 .
[26] E. Ela,et al. Methodologies to determine operating reserves due to increased wind power , 2013, 2013 IEEE Power & Energy Society General Meeting.
[27] Rahmat-Allah Hooshmand,et al. Stochastic profit-based scheduling of industrial virtual power plant using the best demand response strategy , 2016 .
[28] M. Kitayama,et al. An interactive approach to demand side management based on utility functions , 2000, DRPT2000. International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. Proceedings (Cat. No.00EX382).
[29] Goran Strbac,et al. Demand side management: Benefits and challenges ☆ , 2008 .
[30] M. A. Zehir,et al. Demand-side management by integrating bus communication technologies into smart grids , 2016 .
[31] X. Xia,et al. Combined residential demand side management strategies with coordination and economic analysis , 2016 .
[32] Zhi Zhou,et al. Dynamic Scheduling of Operating Reserves in Co-Optimized Electricity Markets With Wind Power , 2014, IEEE Transactions on Power Systems.
[33] E. Karangelos,et al. Towards Full Integration of Demand-Side Resources in Joint Forward Energy/Reserve Electricity Markets , 2012, IEEE Transactions on Power Systems.
[34] Mohammad Shahidehpour,et al. The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee , 1999 .
[35] Aramazd Muzhikyan,et al. An enhanced method for the determination of load following reserves , 2014, 2014 American Control Conference.
[36] Aramazd Muzhikyan,et al. A power grid enterprise control method for energy storage system integration , 2014, IEEE PES Innovative Smart Grid Technologies, Europe.
[37] Jay Apt,et al. An economic welfare analysis of demand response in the PJM electricity market , 2008 .
[38] Antonio J. Conejo,et al. Electric Energy Systems : Analysis and Operation , 2008 .
[39] Aramazd Muzhikyan,et al. An Enterprise Control Assessment Method for Variable Energy Resource-Induced Power System Imbalances—Part II: Parametric Sensitivity Analysis , 2015, IEEE Transactions on Industrial Electronics.
[40] Mohammed H. Albadi,et al. A summary of demand response in electricity markets , 2008 .
[41] A. Conejo,et al. Multi-Area Unit Scheduling and Reserve Allocation Under Wind Power Uncertainty , 2014 .
[42] E.A. DeMeo,et al. Utility Wind Integration and Operating Impact State of the Art , 2007, IEEE Transactions on Power Systems.
[43] Danny H. K. Tsang,et al. Integrating Price Responsive Demand Into the Unit Commitment Problem , 2014, IEEE Transactions on Smart Grid.
[44] A. Torres,et al. A multi-agent system providing demand response services from residential consumers , 2015 .
[45] Ned Djilali,et al. Renewable resources portfolio optimization in the presence of demand response , 2016 .
[46] Timothy J. Brennan. Demand-Side Management Programs Under Retail Electricity Competition , 1998 .
[47] Geert Deconinck,et al. Demand response flexibility and flexibility potential of residential smart appliances: Experiences from large pilot test in Belgium , 2015 .
[48] U. Moon,et al. Security Constrained Economic Dispatch Using Interior Point Method , 2006, 2006 International Conference on Power System Technology.
[49] Kamal Youcef-Toumi,et al. Demand side management in a day-ahead wholesale market: A comparison of industrial & social welfare approaches , 2015 .
[50] Tansu Alpcan,et al. Game-Theoretic Frameworks for Demand Response in Electricity Markets , 2015, IEEE Transactions on Smart Grid.
[51] Rita Streblow,et al. Feasibility and potential of thermal demand side management in residential buildings considering different developments in the German energy market , 2016 .
[52] Dirk Saelens,et al. CO2-abatement cost of residential heat pumps with active demand response: demand- and supply-side effects , 2015 .
[53] Innocent Kamwa,et al. Preliminary Impacts of Wind Power Integration in the Hydro-Quebec System , 2012 .
[54] Mohammad Moradi,et al. An Analytical Literature Review of the Available Techniques for Relieving Transmission Line Bottleneck in Deregulated Power Systems , 2016 .
[55] Hadi Saadat,et al. Power System Analysis , 1998 .
[56] Mo-Yuen Chow,et al. Incremental Welfare Consensus Algorithm for Cooperative Distributed Generation/Demand Response in Smart Grid , 2014, IEEE Transactions on Smart Grid.
[57] Antonio Vicino,et al. Demand-response in building heating systems: A Model Predictive Control approach , 2016 .
[58] Aramazd Muzhikyan,et al. An Enterprise Control Assessment Method for Variable Energy Resource-Induced Power System Imbalances—Part II: Methodology , 2015, IEEE Transactions on Industrial Electronics.
[59] Na Li,et al. Optimal demand response based on utility maximization in power networks , 2011, 2011 IEEE Power and Energy Society General Meeting.
[60] Andrea Lanna,et al. Real time optimal power flow integrating large scale storage devices and wind generation , 2015, 2015 23rd Mediterranean Conference on Control and Automation (MED).
[61] P. Parpas,et al. Demonstrating demand response from water distribution system through pump scheduling , 2016 .
[62] Xiaohong Guan,et al. Fast unit commitment based on optimal linear approximation to nonlinear fuel cost: Error analysis and applications , 2009 .
[63] Na Li,et al. Optimal demand response: Problem formulation and deterministic case , 2012 .
[64] Amro M. Farid,et al. A comparison of day-ahead wholesale market: Social welfare vs industrial demand side management , 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).
[65] Aramazd Muzhikyan,et al. An enhanced method for the determination of the ramping reserves , 2015, 2015 American Control Conference (ACC).
[66] Bo Jiang,et al. Impacts of Industrial Baseline Errors on Costs and Social Welfare in the Demand Side Management of Day-Ahead Wholesale Markets , 2015 .
[67] F. Rahimi,et al. Transactive Energy Techniques: Closing the Gap between Wholesale and Retail Markets , 2012 .
[68] Panajotis Agathoklis,et al. A new thermostat for real-time price demand response: Cost, comfort and energy impacts of discrete-time control without deadband , 2015 .
[69] J. Oyarzabal,et al. A Direct Load Control Model for Virtual Power Plant Management , 2009, IEEE Transactions on Power Systems.
[70] Mattia Marinelli,et al. Grey-box Modelling of a Household Refrigeration Unit Using Time Series Data in Application to Demand Side Management , 2015, ArXiv.
[71] R. Walawalkar,et al. Evolution and current status of demand response (DR) in electricity markets: Insights from PJM and NYISO , 2010 .
[72] Mattia Marinelli,et al. Provision of secondary frequency control via demand response activation on thermostatically controlled loads: Solutions and experiences from Denmark , 2016 .
[73] Sila Kiliccote,et al. Lawrence Berkeley National Laboratory Lawrence Berkeley National Laboratory Title Estimating Demand Response Load Impacts : Evaluation of Baseline Load Models for Non-Residential Buildings in California Permalink , 2008 .
[74] K. Afshar,et al. Reliability and economic evaluation of demand side management programming in wind integrated power systems , 2016 .
[75] Hakan Delic,et al. Demand Response Management for Smart Grids With Wind Power , 2015, IEEE Transactions on Sustainable Energy.
[76] Hantao Cui,et al. Day-ahead coordinated operation of utility-scale electricity and natural gas networks considering demand response based virtual power plants , 2016 .