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Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks

Author

Listed:
  • Muhammad Yousif

    (Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China)

  • Qian Ai

    (Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China)

  • Yang Gao

    (Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China)

  • Waqas Ahmad Wattoo

    (Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China
    Department of Electrical and Computer Engineering, COMSATS University Islamabad (CUI), Sahiwal Campus, Punjab 57000, Pakistan)

  • Ran Hao

    (Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China)

  • Ziqing Jiang

    (Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China)

Abstract

Datasets are significant for researchers to test the functionality of their proposed strategies for the microgrid dispatch. This article presents a dataset to help researchers in testing their algorithms related to the dispatch problem of microgrids coupled with natural gas networks. This preliminary release of a microgrid dispatch dataset contains data related to microgrid components (like solar PV, wind turbine, fuel cell and batteries) and natural gas network elements connected with the microgrid (e.g., micro gas turbine). It also includes the data associated with the authors’ proposed scheduling strategy and its dispatch results. The provided dataset can be used to reproduce the authors’ proposed strategy. The presented dataset further can be used for comparisons of other researchers’ proposed strategies. These comparisons will make a strategy’s features more evident.

Suggested Citation

  • Muhammad Yousif & Qian Ai & Yang Gao & Waqas Ahmad Wattoo & Ran Hao & Ziqing Jiang, 2019. "Dataset for Scheduling Strategies for Microgrids Coupled with Natural Gas Networks," Data, MDPI, vol. 4(1), pages 1-4, February.
    • Handle: RePEc:gam:jdataj:v:4:y:2019:i:1:p:24-:d:203652
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    References listed on IDEAS

    as
    1. Perera, A.T.D. & Nik, Vahid M. & Mauree, Dasaraden & Scartezzini, Jean-Louis, 2017. "Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid," Applied Energy, Elsevier, vol. 190(C), pages 232-248.
    2. Jing, Z.X. & Jiang, X.S. & Wu, Q.H. & Tang, W.H. & Hua, B., 2014. "Modelling and optimal operation of a small-scale integrated energy based district heating and cooling system," Energy, Elsevier, vol. 73(C), pages 399-415.
    3. Muhammad Yousif & Qian Ai & Yang Gao & Waqas Ahmad Wattoo & Ziqing Jiang & Ran Hao, 2018. "Application of Particle Swarm Optimization to a Scheduling Strategy for Microgrids Coupled with Natural Gas Networks," Energies, MDPI, vol. 11(12), pages 1-16, December.
    Full references (including those not matched with items on IDEAS)

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