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Application of Particle Swarm Optimization to a Scheduling Strategy for Microgrids Coupled with Natural Gas Networks

Author

Listed:
  • Muhammad Yousif

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China)

  • Qian Ai

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China)

  • Yang Gao

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China)

  • Waqas Ahmad Wattoo

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China
    Department of Electrical and Computer Engineering, COMSATS University Islamabad (CUI), Sahiwal Campus, Punjab 57000, Pakistan)

  • Ziqing Jiang

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China)

  • Ran Hao

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China)

Abstract

This article focuses on the minimization of operational cost and optimal power dispatch associated with microgrids coupled with natural gas networks using particle swarm optimization (PSO). Introducing a natural gas turbine in a microgrid to overcome the drawbacks of renewable energy resources is a recent trend. This results in increased load and congestion in the gas network. To avoid congestion and balance the load, it is necessary to coordinate with the electric grid to plan optimal dispatch of both interactive networks. A modification is done in applying PSO to solve this coupled network problem. To study the proposed approach, a 7-node natural gas system coupled with the IEEE bus 33 test system is used. The proposed strategy provides the optimal power dispatch. Moreover, it indicates that power sharing between the main grid and microgrid is reduced in such a way that it may help the main grid to shave the load curve peaks.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3499-:d:190723
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    References listed on IDEAS

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    Cited by:

    1. Szymon Kuczyński & Mariusz Łaciak & Andrzej Olijnyk & Adam Szurlej & Tomasz Włodek, 2019. "Techno-Economic Assessment of Turboexpander Application at Natural Gas Regulation Stations," Energies, MDPI, vol. 12(4), pages 1-21, February.
    2. 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.
    3. Zhao, Xin & Zheng, Wenyu & Hou, Zhihua & Chen, Heng & Xu, Gang & Liu, Wenyi & Chen, Honggang, 2022. "Economic dispatch of multi-energy system considering seasonal variation based on hybrid operation strategy," Energy, Elsevier, vol. 238(PA).
    4. Aqsa Naeem & Naveed Ul Hassan & Chau Yuen & S. M. Muyeen, 2019. "Maximizing the Economic Benefits of a Grid-Tied Microgrid Using Solar-Wind Complementarity," Energies, MDPI, vol. 12(3), pages 1-22, January.
    5. Rovick Tarife & Yosuke Nakanishi & Yining Chen & Yicheng Zhou & Noel Estoperez & Anacita Tahud, 2022. "Optimization of Hybrid Renewable Energy Microgrid for Rural Agricultural Area in Southern Philippines," Energies, MDPI, vol. 15(6), pages 1-29, March.

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