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Optimal Scheduling Strategy for Domestic Electric Water Heaters Based on the Temperature State Priority List

Author

Listed:
  • Zhaojing Yin

    (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China)

  • Yanbo Che

    (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China)

  • Dezhi Li

    (China Electric Power Research Institute, Beijing 100192, China)

  • Huanan Liu

    (Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Dongmin Yu

    (Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

Abstract

With the rapid growth of thermostatically controlled loads, active power fluctuation and peak demand growth within an autonomous micro-grid become serious problems. This paper tries to suppress power fluctuation and shave peak demand for a micro-grid through optimizing domestic electric water heaters (controllable load). In this paper, domestic electric water heater models are first built to optimize power flow within a single water heater. Subsequently, the Monte Carlo method is proposed to simulate power consumption of a cluster of domestic electric water heaters. After that, the temperature state priority list method is presented to suppress power flow and shave peak demand for a given micro-grid. Optimization results show that the proposed temperature state priority list method can reduce peak demand by 12.5%. However, it has a wider active power fluctuation range and needs a longer reaction time compared with the simplified temperature state priority list method. In addition, the optimization results show that by increasing the number of controllable loads participating in load scheduling, active power fluctuation can be reduced and the maximum active power of the given micro-grid can be cut. However, to achieve this, about 1.2% of extra electrical energy needs to be generated by the external grid.

Suggested Citation

  • Zhaojing Yin & Yanbo Che & Dezhi Li & Huanan Liu & Dongmin Yu, 2017. "Optimal Scheduling Strategy for Domestic Electric Water Heaters Based on the Temperature State Priority List," Energies, MDPI, vol. 10(9), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1425-:d:112271
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    References listed on IDEAS

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    1. Yebai Qi & Dan Wang & Xuyang Wang & Hongjie Jia & Tianjiao Pu & Naishi Chen & Kaixin Liu, 2017. "Frequency Control Ancillary Service Provided by Efficient Power Plants Integrated in Queuing-Controlled Domestic Water Heaters," Energies, MDPI, vol. 10(4), pages 1-21, April.
    2. Wang, D. & Parkinson, S. & Miao, W. & Jia, H. & Crawford, C. & Djilali, N., 2012. "Online voltage security assessment considering comfort-constrained demand response control of distributed heat pump systems," Applied Energy, Elsevier, vol. 96(C), pages 104-114.
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    Cited by:

    1. Nkateko E. Mabunda & Meera K. Joseph, 2019. "Microcontroller-Based Strategies for the Incorporation of Solar to Domestic Electricity," Energies, MDPI, vol. 12(14), pages 1-21, July.
    2. Irene Muñoz-Benavente & Anca D. Hansen & Emilio Gómez-Lázaro & Tania García-Sánchez & Ana Fernández-Guillamón & Ángel Molina-García, 2019. "Impact of Combined Demand-Response and Wind Power Plant Participation in Frequency Control for Multi-Area Power Systems," Energies, MDPI, vol. 12(9), pages 1-19, May.

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