IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i6p1091-d215915.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/6/1091/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/6/1091/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Falke, Tobias & Krengel, Stefan & Meinerzhagen, Ann-Kathrin & Schnettler, Armin, 2016. "Multi-objective optimization and simulation model for the design of distributed energy systems," Applied Energy, Elsevier, vol. 184(C), pages 1508-1516.
    2. Ho, Wai Shin & Macchietto, Sandro & Lim, Jeng Shiun & Hashim, Haslenda & Muis, Zarina Ab. & Liu, Wen Hui, 2016. "Optimal scheduling of energy storage for renewable energy distributed energy generation system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1100-1107.
    3. Pepermans, G. & Driesen, J. & Haeseldonckx, D. & Belmans, R. & D'haeseleer, W., 2005. "Distributed generation: definition, benefits and issues," Energy Policy, Elsevier, vol. 33(6), pages 787-798, April.
    4. Theo, Wai Lip & Lim, Jeng Shiun & Ho, Wai Shin & Hashim, Haslenda & Lee, Chew Tin, 2017. "Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 531-573.
    5. Touretzky, Cara R. & McGuffin, Dana L. & Ziesmer, Jena C. & Baldea, Michael, 2016. "The effect of distributed electricity generation using natural gas on the electric and natural gas grids," Applied Energy, Elsevier, vol. 177(C), pages 500-514.
    6. McKenna, Eoghan & McManus, Marcelle & Cooper, Sam & Thomson, Murray, 2013. "Economic and environmental impact of lead-acid batteries in grid-connected domestic PV systems," Applied Energy, Elsevier, vol. 104(C), pages 239-249.
    7. Clark, Woodrow & Isherwood, William, 2004. "Distributed generation: remote power systems with advanced storage technologies," Energy Policy, Elsevier, vol. 32(14), pages 1573-1589, September.
    8. Zhang, Shuo & Xiong, Rui & Cao, Jiayi, 2016. "Battery durability and longevity based power management for plug-in hybrid electric vehicle with hybrid energy storage system," Applied Energy, Elsevier, vol. 179(C), pages 316-328.
    9. Erdinc, Ozan & Paterakis, Nikolaos G. & Pappi, Iliana N. & Bakirtzis, Anastasios G. & Catalão, João P.S., 2015. "A new perspective for sizing of distributed generation and energy storage for smart households under demand response," Applied Energy, Elsevier, vol. 143(C), pages 26-37.
    10. Zheng, Menglian & Meinrenken, Christoph J. & Lackner, Klaus S., 2015. "Smart households: Dispatch strategies and economic analysis of distributed energy storage for residential peak shaving," Applied Energy, Elsevier, vol. 147(C), pages 246-257.
    11. Abbassi, Abdelkader & Dami, Mohamed Ali & Jemli, Mohamed, 2017. "A statistical approach for hybrid energy storage system sizing based on capacity distributions in an autonomous PV/Wind power generation system," Renewable Energy, Elsevier, vol. 103(C), pages 81-93.
    12. Bang-Møller, C. & Rokni, M. & Elmegaard, B. & Ahrenfeldt, J. & Henriksen, U.B., 2013. "Decentralized combined heat and power production by two-stage biomass gasification and solid oxide fuel cells," Energy, Elsevier, vol. 58(C), pages 527-537.
    13. Li, Jianwei & Wang, Xudong & Zhang, Zhenyu & Le Blond, Simon & Yang, Qingqing & Zhang, Min & Yuan, Weijia, 2017. "Analysis of a new design of the hybrid energy storage system used in the residential m-CHP systems," Applied Energy, Elsevier, vol. 187(C), pages 169-179.
    14. Antonucci, V. & Branchini, L. & Brunaccini, G. & De Pascale, A. & Ferraro, M. & Melino, F. & Orlandini, V. & Sergi, F., 2017. "Thermal integration of a SOFC power generator and a Na–NiCl2 battery for CHP domestic application," Applied Energy, Elsevier, vol. 185(P2), pages 1256-1267.
    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. Jie Ji & Jiayu Zhang & Xiaoying Jia & Rundong Ji & Zhenglin Sheng & Jingxin Qin & Huanyu Zhao & Jiankang Tang & Jiaoyue Su & Yaodong Wang, 2022. "A Working Fluid Assessment for a Biomass Organic Rankine Cycle under Different Conditions," Energies, MDPI, vol. 15(19), pages 1-20, September.
    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.

    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. Rani, Preeti & Parkash, Ved & Sharma, Naveen Kumar, 2024. "Technological aspects, utilization and impact on power system for distributed generation: A comprehensive survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    2. Theo, Wai Lip & Lim, Jeng Shiun & Ho, Wai Shin & Hashim, Haslenda & Lee, Chew Tin, 2017. "Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 531-573.
    3. Li, Jianwei & Wang, Xudong & Zhang, Zhenyu & Le Blond, Simon & Yang, Qingqing & Zhang, Min & Yuan, Weijia, 2017. "Analysis of a new design of the hybrid energy storage system used in the residential m-CHP systems," Applied Energy, Elsevier, vol. 187(C), pages 169-179.
    4. Alberto Fichera & Alessandro Pluchino & Rosaria Volpe, 2020. "Modelling Energy Distribution in Residential Areas: A Case Study Including Energy Storage Systems in Catania, Southern Italy," Energies, MDPI, vol. 13(14), pages 1-21, July.
    5. Xiong, Rui & Duan, Yanzhou & Cao, Jiayi & Yu, Quanqing, 2018. "Battery and ultracapacitor in-the-loop approach to validate a real-time power management method for an all-climate electric vehicle," Applied Energy, Elsevier, vol. 217(C), pages 153-165.
    6. Correa-Florez, Carlos Adrian & Gerossier, Alexis & Michiorri, Andrea & Kariniotakis, Georges, 2018. "Stochastic operation of home energy management systems including battery cycling," Applied Energy, Elsevier, vol. 225(C), pages 1205-1218.
    7. Alberto Fichera & Mattia Frasca & Rosaria Volpe, 2020. "A cost-based approach for evaluating the impact of a network of distributed energy systems on the centralized energy supply," Energy & Environment, , vol. 31(1), pages 77-87, February.
    8. Manfren, Massimiliano & Caputo, Paola & Costa, Gaia, 2011. "Paradigm shift in urban energy systems through distributed generation: Methods and models," Applied Energy, Elsevier, vol. 88(4), pages 1032-1048, April.
    9. Fichera, Alberto & Frasca, Mattia & Volpe, Rosaria, 2017. "Complex networks for the integration of distributed energy systems in urban areas," Applied Energy, Elsevier, vol. 193(C), pages 336-345.
    10. Kalkbrenner, Bernhard J. & Yonezawa, Koichi & Roosen, Jutta, 2017. "Consumer preferences for electricity tariffs: Does proximity matter?," Energy Policy, Elsevier, vol. 107(C), pages 413-424.
    11. Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Walmsley, Timothy G. & Jia, Xuexiu, 2018. "New directions in the implementation of Pinch Methodology (PM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 439-468.
    12. Mariaud, Arthur & Acha, Salvador & Ekins-Daukes, Ned & Shah, Nilay & Markides, Christos N., 2017. "Integrated optimisation of photovoltaic and battery storage systems for UK commercial buildings," Applied Energy, Elsevier, vol. 199(C), pages 466-478.
    13. Parra, David & Swierczynski, Maciej & Stroe, Daniel I. & Norman, Stuart.A. & Abdon, Andreas & Worlitschek, Jörg & O’Doherty, Travis & Rodrigues, Lucelia & Gillott, Mark & Zhang, Xiaojin & Bauer, Chris, 2017. "An interdisciplinary review of energy storage for communities: Challenges and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 730-749.
    14. Kanakadhurga, Dharmaraj & Prabaharan, Natarajan, 2022. "Demand side management in microgrid: A critical review of key issues and recent trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    15. Kang, Jing & Wang, Shengwei, 2018. "Robust optimal design of distributed energy systems based on life-cycle performance analysis using a probabilistic approach considering uncertainties of design inputs and equipment degradations," Applied Energy, Elsevier, vol. 231(C), pages 615-627.
    16. Zhou, Kaile & Yang, Shanlin & Chen, Zhiqiang & Ding, Shuai, 2014. "Optimal load distribution model of microgrid in the smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 304-310.
    17. Parra, David & Norman, Stuart A. & Walker, Gavin S. & Gillott, Mark, 2016. "Optimum community energy storage system for demand load shifting," Applied Energy, Elsevier, vol. 174(C), pages 130-143.
    18. Zheng, Xuyue & Qiu, Yuwei & Zhan, Xiangyan & Zhu, Xingyi & Keirstead, James & Shah, Nilay & Zhao, Yingru, 2017. "Optimization based planning of urban energy systems: Retrofitting a Chinese industrial park as a case-study," Energy, Elsevier, vol. 139(C), pages 31-41.
    19. Hye-Rim Kim & Tong-Seop Kim, 2021. "Optimization of Sizing and Operation Strategy of Distributed Generation System Based on a Gas Turbine and Renewable Energy," Energies, MDPI, vol. 14(24), pages 1-28, December.
    20. Kadir Doğanşahin & Bedri Kekezoğlu & Recep Yumurtacı & Ozan Erdinç & João P. S. Catalão, 2018. "Maximum Permissible Integration Capacity of Renewable DG Units Based on System Loads," Energies, MDPI, vol. 11(1), pages 1-16, January.

    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:12:y:2019:i:6:p:1091-:d:215915. 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.