IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i10p1538-d114110.html
   My bibliography  Save this article

Demand-Side Energy Management Based on Nonconvex Optimization in Smart Grid

Author

Listed:
  • Kai Ma

    (School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China)

  • Yege Bai

    (School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China)

  • Jie Yang

    (School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
    Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Yangqing Yu

    (School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China)

  • Qiuxia Yang

    (School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China)

Abstract

Demand-side energy management is used for regulating the consumers’ energy usage in smart grid. With the guidance of the grid’s price policy, the consumers can change their energy consumption in response. The objective of this study is jointly optimizing the load status and electric supply, in order to make a tradeoff between the electric cost and the thermal comfort. The problem is formulated into a nonconvex optimization model. The multiplier method is used to solve the constrained optimization, and the objective function is transformed to the augmented Lagrangian function without constraints. Hence, the Powell direction acceleration method with advance and retreat is applied to solve the unconstrained optimization. Numerical results show that the proposed algorithm can achieve the balance between the electric supply and demand, and the optimization variables converge to the optimum.

Suggested Citation

  • Kai Ma & Yege Bai & Jie Yang & Yangqing Yu & Qiuxia Yang, 2017. "Demand-Side Energy Management Based on Nonconvex Optimization in Smart Grid," Energies, MDPI, vol. 10(10), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1538-:d:114110
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/10/1538/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/10/1538/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rodrigo Verschae & Takekazu Kato & Takashi Matsuyama, 2016. "Energy Management in Prosumer Communities: A Coordinated Approach," Energies, MDPI, vol. 9(7), pages 1-27, July.
    2. Antimo Barbato & Cristiana Bolchini & Angela Geronazzo & Elisa Quintarelli & Andrei Palamarciuc & Alessandro Pitì & Cristina Rottondi & Giacomo Verticale, 2016. "Energy Optimization and Management of Demand Response Interactions in a Smart Campus," Energies, MDPI, vol. 9(6), pages 1-20, May.
    3. Mardavij Roozbehani & Munther A Dahleh & Sanjoy K Mitter, 2011. "Volatility of Power Grids under Real-Time Pricing," Papers 1106.1401, arXiv.org.
    4. Poria Astero & Bong Jun Choi, 2016. "Electrical Market Management Considering Power System Constraints in Smart Distribution Grids," Energies, MDPI, vol. 9(6), pages 1-30, May.
    5. Bingtuan Gao & Xiaofeng Liu & Wenhu Zhang & Yi Tang, 2015. "Autonomous Household Energy Management Based on a Double Cooperative Game Approach in the Smart Grid," Energies, MDPI, vol. 8(7), pages 1-18, July.
    6. Kai Ma & Xuemei Liu & Jie Yang & Zhixin Liu & Yazhou Yuan, 2017. "Optimal Power Allocation for a Relaying-Based Cognitive Radio Network in a Smart Grid," Energies, MDPI, vol. 10(7), pages 1-17, July.
    7. Cristina Rottondi & Markus Duchon & Dagmar Koss & Andrei Palamarciuc & Alessandro Pití & Giacomo Verticale & Bernhard Schätz, 2015. "An Energy Management Service for the Smart Office," Energies, MDPI, vol. 8(10), pages 1-18, October.
    8. Mihai Sanduleac & Gianluca Lipari & Antonello Monti & Artemis Voulkidis & Gianluca Zanetto & Antonello Corsi & Lucian Toma & Giampaolo Fiorentino & Dumitru Federenciuc, 2017. "Next Generation Real-Time Smart Meters for ICT Based Assessment of Grid Data Inconsistencies," Energies, MDPI, vol. 10(7), pages 1-16, June.
    9. Rosario Miceli, 2013. "Energy Management and Smart Grids," Energies, MDPI, vol. 6(4), pages 1-29, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pedro Faria, 2019. "Distributed Energy Resources Management," Energies, MDPI, vol. 12(3), pages 1-3, February.
    2. Iannuzzi, Diego & Franzese, Pasquale, 2021. "Ultrafast charging station for electrical vehicles: Dynamic modelling, design and control strategy," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 184(C), pages 225-243.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Damilola A. Asaleye & Michael Breen & Michael D. Murphy, 2017. "A Decision Support Tool for Building Integrated Renewable Energy Microgrids Connected to a Smart Grid," Energies, MDPI, vol. 10(11), pages 1-29, November.
    2. Danish Mahmood & Nadeem Javaid & Nabil Alrajeh & Zahoor Ali Khan & Umar Qasim & Imran Ahmed & Manzoor Ilahi, 2016. "Realistic Scheduling Mechanism for Smart Homes," Energies, MDPI, vol. 9(3), pages 1-28, March.
    3. Andrzej Ożadowicz, 2017. "A New Concept of Active Demand Side Management for Energy Efficient Prosumer Microgrids with Smart Building Technologies," Energies, MDPI, vol. 10(11), pages 1-22, November.
    4. Xiaofeng Liu & Shijun Wang & Jiawen Sun, 2018. "Energy Management for Community Energy Network with CHP Based on Cooperative Game," Energies, MDPI, vol. 11(5), pages 1-18, April.
    5. Raji Atia & Noboru Yamada, 2016. "Distributed Renewable Generation and Storage System Sizing Based on Smart Dispatch of Microgrids," Energies, MDPI, vol. 9(3), pages 1-16, March.
    6. Arroyo, Javier & Manna, Carlo & Spiessens, Fred & Helsen, Lieve, 2022. "Reinforced model predictive control (RL-MPC) for building energy management," Applied Energy, Elsevier, vol. 309(C).
    7. Asad Ahmed & Osman Hasan & Falah Awwad & Nabil Bastaki, 2020. "Formalization of Cost and Utility in Microeconomics," Energies, MDPI, vol. 13(3), pages 1-19, February.
    8. Syed Ali Abbas Kazmi & Muhammad Khuram Shahzad & Akif Zia Khan & Dong Ryeol Shin, 2017. "Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective," Energies, MDPI, vol. 10(4), pages 1-47, April.
    9. Vinyals, Meritxell, 2021. "Scalable multi-agent local energy trading — Meeting regulatory compliance and validation in the Cardiff grid," Applied Energy, Elsevier, vol. 298(C).
    10. Lefeng Cheng & Zhiyi Zhang & Haorong Jiang & Tao Yu & Wenrui Wang & Weifeng Xu & Jinxiu Hua, 2018. "Local Energy Management and Optimization: A Novel Energy Universal Service Bus System Based on Energy Internet Technologies," Energies, MDPI, vol. 11(5), pages 1-38, May.
    11. Ahmed WA Hammad & Ali Akbarnezhad & Assed Haddad & Elaine Garrido Vazquez, 2019. "Sustainable Zoning, Land-Use Allocation and Facility Location Optimisation in Smart Cities," Energies, MDPI, vol. 12(7), pages 1-23, April.
    12. Zhao, Huan, 2011. "Four Market Studies for the Beef and Electric Power Industries," ISU General Staff Papers 201101010800001360, Iowa State University, Department of Economics.
    13. Bishnu P. Bhattarai & Kurt S. Myers & Birgitte Bak-Jensen & Sumit Paudyal, 2017. "Multi-Time Scale Control of Demand Flexibility in Smart Distribution Networks," Energies, MDPI, vol. 10(1), pages 1-18, January.
    14. Aniela Kaminska & Andrzej Ożadowicz, 2018. "Lighting Control Including Daylight and Energy Efficiency Improvements Analysis," Energies, MDPI, vol. 11(8), pages 1-18, August.
    15. Nizami, Sohrab & Tushar, Wayes & Hossain, M.J. & Yuen, Chau & Saha, Tapan & Poor, H. Vincent, 2022. "Transactive energy for low voltage residential networks: A review," Applied Energy, Elsevier, vol. 323(C).
    16. Chong Chen & Xuan Zhou & Xiaowei Yang & Zhiheng He & Zhuo Li & Zhengtian Li & Xiangning Lin & Ting Wen & Yixin Zhuo & Ning Tong, 2018. "Collaborative Optimal Pricing and Day-Ahead and Intra-Day Integrative Dispatch of the Active Distribution Network with Multi-Type Active Loads," Energies, MDPI, vol. 11(4), pages 1-22, April.
    17. Mihai Sanduleac & Irina Ciornei & Mihaela Albu & Lucian Toma & Marta Sturzeanu & João F. Martins, 2017. "Resilient Prosumer Scenario in a Changing Regulatory Environment—The UniRCon Solution," Energies, MDPI, vol. 10(12), pages 1-22, November.
    18. William Villegas-Ch & Jhoann Molina-Enriquez & Carlos Chicaiza-Tamayo & Iván Ortiz-Garcés & Sergio Luján-Mora, 2019. "Application of a Big Data Framework for Data Monitoring on a Smart Campus," Sustainability, MDPI, vol. 11(20), pages 1-15, October.
    19. Vian Ahmed & Karam Abu Alnaaj & Sara Saboor, 2020. "An Investigation into Stakeholders’ Perception of Smart Campus Criteria: The American University of Sharjah as a Case Study," Sustainability, MDPI, vol. 12(12), pages 1-24, June.
    20. Motaz Ayiad & Emily Maggioli & Helder Leite & Hugo Martins, 2021. "Communication Requirements for a Hybrid VSC Based HVDC/AC Transmission Networks State Estimation," Energies, MDPI, vol. 14(4), pages 1-25, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1538-:d:114110. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.