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An Experimental and Simulation Study on Optimisation of the Operation of a Distributed Power Generation System with Energy Storage—Meeting Dynamic Household Electricity Demand

Author

Listed:
  • Jie Ji

    (Huaiyin Institute of Technology, Huaiyin 223002, China)

  • Xin Xia

    (Huaiyin Institute of Technology, Huaiyin 223002, China)

  • Wei Ni

    (Huaiyin Institute of Technology, Huaiyin 223002, China)

  • Kailiang Teng

    (School of Electrical Engineering, Guangxi University, Nanning 530004, Guangxi Zhuang Autonomous Region, China)

  • Chunqiong Miao

    (Guangxi Electrical Polytechnic Institute, Nanning 530007, China)

  • Yaodong Wang

    (Sir Joseph Swan Centre for Energy Research, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

  • Tony Roskilly

    (Sir Joseph Swan Centre for Energy Research, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

Abstract

There are few experimental reports combining hybrid energy storage and diesel engine generators as the power source of distributed power generation systems. In this article, a distributed power generation with energy storage system (DG-ES) which contains a diesel engine generator and an energy storage unit is set up and tested in the laboratory to satisfy the dynamic changing load. The hybrid energy storage system is composed of a lead-acid battery and a supercapacitor. The DG-ES supplied power to meet the domestic load demand successfully under different seasons. A simulation model of this system was also set up in MATLAB software used to guide to the experimental operation of this system. The simulation results has 2.69% and 2.35% error. The results of the experimental tests show the DG-ES can provide enough power to meet the dynamic loads of the selected house, especially at peak time in both winter and summer time. Computational simulation results show that the performance of DG-ES is improved by 3.61% in summer and 1.86% in winter when the system’s operations are optimised.

Suggested Citation

  • Jie Ji & Xin Xia & Wei Ni & Kailiang Teng & Chunqiong Miao & Yaodong Wang & Tony Roskilly, 2019. "An Experimental and Simulation Study on Optimisation of the Operation of a Distributed Power Generation System with Energy Storage—Meeting Dynamic Household Electricity Demand," Energies, MDPI, vol. 12(6), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:6:p:1091-:d:215915
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    References listed on IDEAS

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    2. Jie Ji & Fucheng Wang & Mengxiong Zhou & Renwei Guo & Rundong Ji & Hui Huang & Jiayu Zhang & Muhammad Shahzad Nazir & Tian Peng & Chu Zhang & Jiahui Huang & Yaodong Wang, 2022. "Evaluation Study on a Novel Structure CCHP System with a New Comprehensive Index Using Improved ALO Algorithm," Sustainability, MDPI, vol. 14(22), pages 1-20, November.

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