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Economic Power Schedule and Transactive Energy through an Intelligent Centralized Energy Management System for a DC Residential Distribution System

Author

Listed:
  • Jingpeng Yue

    (School of Electrical Engineering, Wuhan University, Wuhan 430047, China)

  • Zhijian Hu

    (School of Electrical Engineering, Wuhan University, Wuhan 430047, China)

  • Chendan Li

    (Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark)

  • Juan C. Vasquez

    (Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark)

  • Josep M. Guerrero

    (Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark)

Abstract

Direct current (DC) residential distribution systems (RDS) consisting of DC living homes will be a significant integral part of future green transmission. Meanwhile, the increasing number of distributed resources and intelligent devices will change the power flow between the main grid and the demand side. The utilization of distributed generation (DG) requires an economic operation, stability, and an environmentally friendly approach in the whole DC system. This paper not only presents an optimization schedule and transactive energy (TE) approach through a centralized energy management system (CEMS), but also a control approach to implement and ensure DG output voltages to various DC buses in a DC RDS. Based on data collection, prediction and a certain objectives, the expert system in a CEMS can work out the optimization schedule, after this, the voltage droop control for steady voltage is aligned with the command of the unit power schedule. In this work, a DC RDS is used as a case study to demonstrate the process, the RDS is associated with unit economic models, and a cost minimization objective is proposed that is to be achieved based on the real-time electrical price. The results show that the proposed framework and methods will help the targeted DC residential system to reduce the total cost and reach stability and efficiency.

Suggested Citation

  • Jingpeng Yue & Zhijian Hu & Chendan Li & Juan C. Vasquez & Josep M. Guerrero, 2017. "Economic Power Schedule and Transactive Energy through an Intelligent Centralized Energy Management System for a DC Residential Distribution System," Energies, MDPI, vol. 10(7), pages 1-14, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:916-:d:103450
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    References listed on IDEAS

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    Cited by:

    1. Pavlos S. Georgilakis, 2020. "Review of Computational Intelligence Methods for Local Energy Markets at the Power Distribution Level to Facilitate the Integration of Distributed Energy Resources: State-of-the-art and Future Researc," Energies, MDPI, vol. 13(1), pages 1-37, January.
    2. Yajing Gao & Yanping Sun & Xiaodan Wang & Feifan Chen & Ali Ehsan & Hongmei Li & Hong Li, 2017. "Multi-Objective Optimized Aggregation of Demand Side Resources Based on a Self-organizing Map Clustering Algorithm Considering a Multi-Scenario Technique," Energies, MDPI, vol. 10(12), pages 1-20, December.
    3. Eric Galvan & Paras Mandal & Shantanu Chakraborty & Tomonobu Senjyu, 2019. "Efficient Energy-Management System Using A Hybrid Transactive-Model Predictive Control Mechanism for Prosumer-Centric Networked Microgrids," Sustainability, MDPI, vol. 11(19), pages 1-24, September.
    4. 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).
    5. Robert Salas-Puente & Silvia Marzal & Raúl González-Medina & Emilio Figueres & Gabriel Garcera, 2017. "Experimental Study of a Centralized Control Strategy of a DC Microgrid Working in Grid Connected Mode," Energies, MDPI, vol. 10(10), pages 1-25, October.
    6. Jihoon Moon & Sungwoo Park & Seungmin Rho & Eenjun Hwang, 2019. "A comparative analysis of artificial neural network architectures for building energy consumption forecasting," International Journal of Distributed Sensor Networks, , vol. 15(9), pages 15501477198, September.
    7. Robert Salas-Puente & Silvia Marzal & Raul Gonzalez-Medina & Emilio Figueres & Gabriel Garcera, 2018. "Practical Analysis and Design of a Battery Management System for a Grid-Connected DC Microgrid for the Reduction of the Tariff Cost and Battery Life Maximization," Energies, MDPI, vol. 11(7), pages 1-31, July.
    8. Robert Antonio Salas-Puente & Silvia Marzal & Raúl González-Medina & Emilio Figueres & Gabriel Garcera, 2018. "Power Management of the DC Bus Connected Converters in a Hybrid AC/DC Microgrid Tied to the Main Grid," Energies, MDPI, vol. 11(4), pages 1-22, March.
    9. Jingpeng Yue & Zhijian Hu & Amjad Anvari-Moghaddam & Josep M. Guerrero, 2019. "A Multi-Market-Driven Approach to Energy Scheduling of Smart Microgrids in Distribution Networks," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
    10. 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.
    11. Thanh Van Nguyen & Kyeong-Hwa Kim, 2019. "Power Flow Control Strategy and Reliable DC-Link Voltage Restoration for DC Microgrid under Grid Fault Conditions," Sustainability, MDPI, vol. 11(14), pages 1-27, July.
    12. Alizadeh, Ali & Kamwa, Innocent & Moeini, Ali & Mohseni-Bonab, Seyed Masoud, 2023. "Energy management in microgrids using transactive energy control concept under high penetration of Renewables; A survey and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).

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