short-paper

Electric power dependent dynamic tariffs for water distribution systems

Authors:

Varghese Kurian,

Quanyan ZhuAuthors Info & Claims

CySWATER '17: Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks

Pages 35 - 38

https://doi.org/10.1145/3055366.3055373

Published: 21 April 2017 Publication History

Abstract

Peak time water demands cause significant burden to the utility providers in terms of pumping loads. Its coincidence with the peak hours of electricity consumption makes the situation worse. In this paper, we bring forth the requirement as well as the viability of implementing time-varying tariffs in the 'smart water systems'.We present the problem of finding the optimal tariffs as a Stackelberg game between the utility provider and the consumers of water. Further, we propose an algorithm that iterates between the suppliers problem and the consumers problem for finding the optimal tariffs along with a demonstration of its applicability on a small system.

References

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Cara D Beal and Rodney A Stewart. 2013. Identifying residential water end uses underpinning peak day and peak hour demand. Journal of Water Resources Planning and Management 140, 7 (2013), 04014008.

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Gratien Bonvin, Sophie Demassey, Claude Le Pape, Nadia Maïzi, Vincent Maza-uric, and Alfredo Samperio. 2006. A convex mathematical program for pump scheduling in a class of branched water networks. Applied Energy (2006).

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Thomas Boyle, Damien Giurco, Pierre Mukheibir, Ariane Liu, Candice Moy, Stuart White, and Rodney Stewart. 2013. Intelligent metering for urban water: a review. Water 5, 3 (2013), 1052--1081.

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S. M. Bunn and L. Reynolds. 2009. The Energy-efficiency Benefits of Pumps-scheduling Optimization for Potable Water Supplies. IBM J. Res. Dev. 53, 3 (May 2009), 388--400. http://dl.acm.org/citation.cfm?id=1850646.1850651

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Jihad C Elnaboulsi. 2009. An incentive water pricing policy for sustainable water use. Environmental and Resource Economics 42, 4 (2009), 451--469.

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Muzaffar M Eusuff and Kevin E Lansey. 2003. Optimization of water distribution network design using the shuffled frog leaping algorithm. Journal of Water Resources planning and management 129, 3 (2003), 210--225.

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Bissan Ghaddar, Joe Naoum-sawaya, Akihiro Kishimoto, Nicole Taheri, and Bradley Eck. 2015. A Lagrangian decomposition approach for the pump scheduling problem in water networks. European Journal of Operational Research 241, 2 (2015), 490--501.

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Sonia Ferdous Hoque and Dennis Wichelns. 2013. State-of-the-art review: designing urban water tariffs to recover costs and promote wise use. International Journal of Water Resources Development 29, 3 (2013), 472--491.

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Fujun Lan, Wei Hua Lin, and Kevin Lansey. 2015. Scenario-based robust optimization of a water supply system under risk of facility failure. Environmental Modelling & Software 67 (2015), 160--172.

Digital Library

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T.M. Letcher, R. Law, and D. Reay. 2016. Storing Energy: With Special Reference to Renewable Energy Sources. Elsevier Science & Technology Books.

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Sabita Maharjan, Quanyan Zhu, Yan Zhang, Stein Gjessing, and Tamer Basar. 2013. Dependable demand response management in the smart grid: A Stackelberg game approach. IEEE Transactions on Smart Grid 4, 1 (2013), 120--132.

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Marwaan Simaan and Jose B Cruz Jr. 1973. On the Stackelberg strategy in nonzero-sum games. Journal of Optimization Theory and Applications 11, 5 (1973), 533--555.

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Adam Jacobus Van Staden, Jiangfeng Zhang, and Xiaohua Xia. 2011. A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges. Applied Energy 88, 12 (2011), 4785--4794.

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Mario Vašak, Goran Banjac, M Baotié, and Jadranko Matuško. 2014. Dynamic day-ahead water pricing based on smart metering and demand prediction. Procedia Engineering 89 (2014), 1031--1036.

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A. Veck and M. Bill. 2000. Estimation Of The Residential Price Elasticity Of Demand For Water By Means Of A Contingent Valuation Approach. Technical Report. WRC Report No. 790/1/00.

Cited By

Peng GLi TLiu SChen JZhu Q(2021)Locally-Aware Constrained Games on Networks2021 American Control Conference (ACC)10.23919/ACC50511.2021.9482895(4606-4611)Online publication date: 25-May-2021
https://doi.org/10.23919/ACC50511.2021.9482895
Huang YChen JHuang LZhu Q(2020)Dynamic games for secure and resilient control system designNational Science Review10.1093/nsr/nwz218Online publication date: 16-Jan-2020
https://doi.org/10.1093/nsr/nwz218
Chen JZhu Q(2019)A games-in-games approach to mosaic command and control design of dynamic network-of-networks for secure and resilient multi-domain operationsSensors and Systems for Space Applications XII10.1117/12.2526677(28)Online publication date: 29-Jul-2019
https://doi.org/10.1117/12.2526677
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Index Terms

Electric power dependent dynamic tariffs for water distribution systems
1. Networks
  1. Network algorithms
    1. Control path algorithms
      1. Network design and planning algorithms
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Algorithmic game theory and mechanism design
      1. Exact and approximate computation of equilibria

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cover image ACM Other conferences

CySWATER '17: Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks

April 2017

52 pages

ISBN:9781450349758

DOI:10.1145/3055366

Conference Chairs:
Panagiotis Tsakalides
University of Crete & Institute of Computer Science, Foundation for Research and Technology-Hellas, GR
,
Baltasar Beferull-Lozano
University of Agder, NO

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 April 2017

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CPS Week '17

CPS Week '17: Cyber Physical Systems Week 2017

April 21, 2017

Pennsylvania, Pittsburgh

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Cited By

Peng GLi TLiu SChen JZhu Q(2021)Locally-Aware Constrained Games on Networks2021 American Control Conference (ACC)10.23919/ACC50511.2021.9482895(4606-4611)Online publication date: 25-May-2021
https://doi.org/10.23919/ACC50511.2021.9482895
Huang YChen JHuang LZhu Q(2020)Dynamic games for secure and resilient control system designNational Science Review10.1093/nsr/nwz218Online publication date: 16-Jan-2020
https://doi.org/10.1093/nsr/nwz218
Chen JZhu Q(2019)A games-in-games approach to mosaic command and control design of dynamic network-of-networks for secure and resilient multi-domain operationsSensors and Systems for Space Applications XII10.1117/12.2526677(28)Online publication date: 29-Jul-2019
https://doi.org/10.1117/12.2526677
Chen JZhu QChen JZhu Q(2019)Meta-Network Modeling and Resilience AnalysisA Game- and Decision-Theoretic Approach to Resilient Interdependent Network Analysis and Design10.1007/978-3-030-23444-7_3(13-48)Online publication date: 18-Jul-2019
https://doi.org/10.1007/978-3-030-23444-7_3
Chen JZhu Q(2018)A Stackelberg Game Approach for Two-Level Distributed Energy Management in Smart GridsIEEE Transactions on Smart Grid10.1109/TSG.2017.27156639:6(6554-6565)Online publication date: Nov-2018
https://doi.org/10.1109/TSG.2017.2715663

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