Corrections to “Purchase Bidding Strategy for a Retailer With Flexible Demands in Day-Ahead Electricity Market”

Presents corrections to the paper, “Purchase bidding strategy for a retailer with flexible demands in day-ahead electricity market,” (Song, M. and Amelin, M.), IEEE Trans. Power Syst., vol. 32, no. 3, pp. 1839–1850, May 2017.

[1]  Ali Badri,et al.  Optimal bidding strategy of retailers in a mixed pool-bilateral market considering demand response programs , 2013, 2013 Smart Grid Conference (SGC).

[2]  J. Dupacová,et al.  Scenario reduction in stochastic programming: An approach using probability metrics , 2000 .

[3]  Sakis Meliopoulos,et al.  Simulated demand response of a residential energy management system , 2011, IEEE 2011 EnergyTech.

[4]  Marina Gonzalez Vaya,et al.  Optimal bidding strategy of a plug-in electric vehicle aggregator in day-ahead electricity markets , 2013, 2013 10th International Conference on the European Energy Market (EEM).

[5]  Wolfgang Ketter,et al.  Demand side management—A simulation of household behavior under variable prices , 2011 .

[6]  Patrik Hilber,et al.  A method for evaluating the impact of electric vehicle charging on transformer hotspot temperature , 2011, 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies.

[7]  M. K. Sheikh-El-Eslami,et al.  A Stochastic-Based Decision-Making Framework for an Electricity Retailer: Time-of-Use Pricing and Electricity Portfolio Optimization , 2011, IEEE Transactions on Power Systems.

[8]  Georg Zachmann,et al.  Retailers' risk management and vertical arrangements in electricity markets , 2012 .

[9]  L. H. Hansen,et al.  Value of flexible consumption in the electricity markets , 2014 .

[10]  Antonio Violi,et al.  Dynamic pricing of electricity in retail markets , 2009, 4OR.

[11]  Nadali Mahmoudi,et al.  Employing demand response in energy procurement plans of electricity retailers , 2014 .

[12]  Abdullah Abusorrah,et al.  A Game Theoretic Approach to Risk-Based Optimal Bidding Strategies for Electric Vehicle Aggregators in Electricity Markets With Variable Wind Energy Resources , 2016, IEEE Transactions on Sustainable Energy.

[13]  Anastasios G. Bakirtzis,et al.  Optimal Bidding Strategy for Electric Vehicle Aggregators in Electricity Markets , 2013, IEEE Transactions on Power Systems.

[14]  D. Kirschen Demand-side view of electricity markets , 2003 .

[15]  Michael L. McIntyre,et al.  Analysis of electric vehicle charge scheduling and effects on electricity demand costs , 2014 .

[16]  Marina Gonzalez Vaya,et al.  Optimal Bidding Strategy of a Plug-In Electric Vehicle Aggregator in Day-Ahead Electricity Markets Under Uncertainty , 2015, IEEE Transactions on Power Systems.

[17]  Alessandra Parisio,et al.  Estimating the impacts of demand response by simulating household behaviours under price and CO2 signals , 2014 .

[18]  C. Monteiro,et al.  Optimum residential load management strategy for real time pricing (RTP) demand response programs , 2012 .

[19]  L. Soder,et al.  Modeling Real-Time Balancing Power Market Prices Using Combined SARIMA and Markov Processes , 2008, IEEE Transactions on Power Systems.

[20]  Werner Römisch,et al.  Scenario Reduction Algorithms in Stochastic Programming , 2003, Comput. Optim. Appl..

[21]  I. Laresgoiti,et al.  Forecasting flexibility in electricity demand with price/consumption volume signals , 2013 .

[22]  Stein-Erik Fleten,et al.  Constructing bidding curves for a price-taking retailer in the norwegian electricity market , 2005, IEEE Transactions on Power Systems.

[23]  I. Vassileva,et al.  Introducing a demand-based electricity distribution tariff in the residential sector: Demand response and customer perception , 2011 .

[24]  Jitka Dupacová,et al.  Scenario reduction in stochastic programming , 2003, Math. Program..

[25]  M. Parsa Moghaddam,et al.  Modeling and prioritizing demand response programs in power markets , 2010 .

[26]  Karl Henrik Johansson,et al.  Scheduling smart home appliances using mixed integer linear programming , 2011, IEEE Conference on Decision and Control and European Control Conference.

[27]  A. Faruqui,et al.  Household response to dynamic pricing of electricity: a survey of 15 experiments , 2010 .