Online distributed price-based control of DR resources with competitive guarantees

Xu, Siyuan; Yu, Liren; Lin, Xiaojun; Dong, Jin; Xue, Yaosuo

doi:10.1145/3538637.3538836

Online distributed price-based control of DR resources with competitive guarantees

Conference · 28 June 2022 · Proceedings of the Thirteenth ACM International Conference on Future Energy Systems

DOI:https://doi.org/10.1145/3538637.3538836· OSTI ID:1997130

Xu, Siyuan ^[1]; Yu, Liren ^[2]; Lin, Xiaojun ^[2]; Dong, Jin ^[3]; Xue, Yaosuo ^[3]

Purdue University; Purdue University, School of Electrical and Computer Engineering
Purdue University
Oak Ridge National Laboratory

Demand response (DR) of building HVAC load can provide crucial demand-side flexibility for the future smart grid. Compared to direct load control, price-based control can respect the customers’ autonomy and privacy. However, it is challenging for price-based control to attain provable performance guarantees under future uncertainty. In this paper, we propose a framework for a utility to perform price-based control of flexible building load within the utility’s service area, in order to attain competitive performance guarantees in terms of controlling the system peak demand under future uncertainty. By adopting a two-step approach, our online price-based control solution can attain a provable competitive ratio for all possible realizations within a given uncertainty set. Simulation experiments demonstrate that, with a robustification procedure, our solution can perform well not only for worst-case inputs, but also for average-case inputs.

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Research Organization:: Purdue University

Sponsoring Organization:: USDOE Office of Electricity (OE)

DOE Contract Number:: OE0000921

OSTI ID:: 1997130

Report Number(s):: DOE-PURDUE-OE0000921-2

Conference Information:: Journal Name: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems

Country of Publication:: United States

Language:: English

References (25)

Battery Equivalent Model for Residential HVAC Dong, Jin; Starke, Michael; Cui, Borui 2020 IEEE Power & Energy Society General Meeting (PESGM) https://doi.org/10.1109/PESGM41954.2020.9281418	conference	August 2020
Uncertainty models for stochastic optimization in renewable energy applications Zakaria, A.; Ismail, Firas B.; Lipu, M. S. Hossain Renewable Energy, Vol. 145 https://doi.org/10.1016/j.renene.2019.07.081	journal	January 2020
Optimal Online Algorithms for Peak-Demand Reduction Maximization with Energy Storage Mo, Yanfang; Lin, Qiulin; Chen, Minghua Proceedings of the Twelfth ACM International Conference on Future Energy Systems https://doi.org/10.1145/3447555.3464857	conference	June 2021
A Distributed Direct Load Control Approach for Large-Scale Residential Demand Response Chen, Chen; Wang, Jianhui; Kishore, Shalinee IEEE Transactions on Power Systems, Vol. 29, Issue 5 https://doi.org/10.1109/TPWRS.2014.2307474	journal	September 2014
A Machine Learning-based Approach to Predict the Aggregate Flexibility of HVAC Systems Amasyali, Kadir; Olama, Mohammed; Perumalla, Aniruddha 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) https://doi.org/10.1109/ISGT45199.2020.9087695	conference	February 2020
Demand Response in Electricity Markets: An Overview Albadi, M. H.; El-Saadany, E. F. 2007 IEEE Power Engineering Society General Meeting https://doi.org/10.1109/PES.2007.385728	conference	June 2007
Peak load shifting using a price-based control in PCM-enhanced buildings Gholamibozanjani, Gohar; Farid, Mohammed Solar Energy, Vol. 211 https://doi.org/10.1016/j.solener.2020.09.016	journal	November 2020
Robust Online Algorithms for Peak-Minimizing EV Charging Under Multistage Uncertainty Zhao, Shizhen; Lin, Xiaojun; Chen, Minghua IEEE Transactions on Automatic Control, Vol. 62, Issue 11 https://doi.org/10.1109/TAC.2017.2699290	journal	November 2017
Model predictive control approach to online computation of demand-side flexibility of commercial buildings HVAC systems for Supply Following Maasoumy, Mehdi; Rosenberg, Catherine; Sangiovanni-Vincentelli, Alberto 2014 American Control Conference https://doi.org/10.1109/ACC.2014.6858874	conference	June 2014
Capacity Market Fundamentals Cramton, Peter; Ockenfels, Axel; Stoft, Steven Economics of Energy & Environmental Policy, Vol. 2, Issue 2 https://doi.org/10.5547/2160-5890.2.2.2	journal	April 2013
Promoting acceptance of direct load control programs in the United States: Financial incentive versus control option Xu, Xiaojing; Chen, Chien-fei; Zhu, Xiaojuan Energy, Vol. 147 https://doi.org/10.1016/j.energy.2018.01.028	journal	March 2018
Virtual Battery Models for Load Flexibility from Commercial Buildings Hughes, Justin T.; Dominguez-Garcia, Alejandro D.; Poolla, Kameshwar 2015 48th Hawaii International Conference on System Sciences https://doi.org/10.1109/HICSS.2015.316	conference	January 2015
The Design and Implementation of a Smart Building Control System Chen, Han; Chou, Paul; Duri, Sastry 2009 IEEE International Conference on e-Business Engineering https://doi.org/10.1109/ICEBE.2009.42	conference	January 2009
Aggregate Flexibility of Thermostatically Controlled Loads Hao, He; Sanandaji, Borhan M.; Poolla, Kameshwar IEEE Transactions on Power Systems, Vol. 30, Issue 1 https://doi.org/10.1109/TPWRS.2014.2328865	journal	January 2015
Demand-response in building heating systems: A Model Predictive Control approach Bianchini, Gianni; Casini, Marco; Vicino, Antonio Applied Energy, Vol. 168 https://doi.org/10.1016/j.apenergy.2016.01.088	journal	April 2016
Theory and applications of HVAC control systems – A review of model predictive control (MPC) Afram, Abdul; Janabi-Sharifi, Farrokh Building and Environment, Vol. 72 https://doi.org/10.1016/j.buildenv.2013.11.016	journal	February 2014
Transactive Demand Response Operation at the Grid Edge using the IEEE 2030.5 Standard Fattahi, Javad; Samadi, Mikhak; Erol-Kantarci, Melike Engineering, Vol. 6, Issue 7 https://doi.org/10.1016/j.eng.2020.06.005	journal	July 2020
A market-based mechanism for providing demand-side regulation service reserves Paschalidis, Ioannis Ch.; Li, Binbin; Caramanis, Michael C. IEEE Conference on Decision and Control and European Control Conference https://doi.org/10.1109/CDC.2011.6160541	conference	December 2011
A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings Raza, Muhammad Qamar; Khosravi, Abbas Renewable and Sustainable Energy Reviews, Vol. 50 https://doi.org/10.1016/j.rser.2015.04.065	journal	October 2015
Demand response in U.S. electricity markets: Empirical evidence Cappers, Peter; Goldman, Charles; Kathan, David Energy, Vol. 35, Issue 4 https://doi.org/10.1016/j.energy.2009.06.029	journal	April 2010
Pricing-Based Demand Response for a Smart Home With Various Types of Household Appliances Considering Customer Satisfaction Liu, Yi; Xiao, Liye; Yao, Guodong IEEE Access, Vol. 7 https://doi.org/10.1109/ACCESS.2019.2924110	journal	January 2019
Li-Ion Battery Charging Efficiency Toman, Marek; Cipin, Radoslav; Cervinka, Dalibor ECS Transactions, Vol. 74, Issue 1 https://doi.org/10.1149/07401.0037ecst	journal	December 2016
A summary of demand response in electricity markets Albadi, M. H.; El-Saadany, E. F. Electric Power Systems Research, Vol. 78, Issue 11 https://doi.org/10.1016/j.epsr.2008.04.002	journal	November 2008
Using Price-Based Signals to Control Plug-in Electric Vehicle Fleet Charging Xi, Xiaomin; Sioshansi, Ramteen IEEE Transactions on Smart Grid, Vol. 5, Issue 3 https://doi.org/10.1109/TSG.2014.2301931	journal	May 2014
Large population optimal demand response for thermostatically controlled inertial loads Sharma, Gaurav; Xie, Le; Kumar, P. R. 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm) https://doi.org/10.1109/SmartGridComm.2013.6687967	conference	October 2013

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