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Management Optimization of Electricity System with Sustainability Enhancement

Author

Listed:
  • Wei Hou

    (Chakrabongse Bhuvanarth International Institute for Interdisciplinary Studies, Rajamangala University of Technology Tawan-Ok, Bangkok 10400, Thailand
    State Grid Beijing Electric Power Corporation, Beijing 100031, China)

  • Rita Yi Man Li

    (Sustainable Real Estate Research Center, Hong Kong Shue Yan University, Hong Kong, China)

  • Thanawan Sittihai

    (Chakrabongse Bhuvanarth International Institute for Interdisciplinary Studies, Rajamangala University of Technology Tawan-Ok, Bangkok 10400, Thailand)

Abstract

Based on new policies and social changes, renewable energies have highly penetrated electrical systems, making the system more vulnerable than before. On the other hand, it leads to congestion and competition within the network. To this end, this paper developed a probabilistic multi-objective-based congestion management approach and applied it to the optimal transmission switching (OTS) strategies, to maximize system suitability and minimize total production costs. A point estimation economic method (PEM) has been applied, as one of the best management and economic tools to handle the uncertainties associated with a wind turbine’s power production and load demand (LD). Results demonstrate the effectiveness and merit of the proposed technique, compared to the existing one, which can lead to higher reliability and sustainability for the grids.

Suggested Citation

  • Wei Hou & Rita Yi Man Li & Thanawan Sittihai, 2022. "Management Optimization of Electricity System with Sustainability Enhancement," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6650-:d:827163
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    References listed on IDEAS

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    1. Mohamed A. Mohamed & Seyedali Mirjalili & Udaya Dampage & Saleh H. Salmen & Sami Al Obaid & Andres Annuk, 2021. "A Cost-Efficient-Based Cooperative Allocation of Mining Devices and Renewable Resources Enhancing Blockchain Architecture," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
    2. Shepero, Mahmoud & van der Meer, Dennis & Munkhammar, Joakim & Widén, Joakim, 2018. "Residential probabilistic load forecasting: A method using Gaussian process designed for electric load data," Applied Energy, Elsevier, vol. 218(C), pages 159-172.
    3. Tumiran & Lesnanto Multa Putranto & Roni Irnawan & Sarjiya & Adi Priyanto & Suroso Isnandar & Ira Savitri, 2021. "Transmission Expansion Planning for the Optimization of Renewable Energy Integration in the Sulawesi Electricity System," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    4. Li Zeng & Tian Xia & Salah K. Elsayed & Mahrous Ahmed & Mostafa Rezaei & Kittisak Jermsittiparsert & Udaya Dampage & Mohamed A. Mohamed, 2021. "A Novel Machine Learning-Based Framework for Optimal and Secure Operation of Static VAR Compensators in EAFs," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    5. Ali Hadi Abdulwahid & Shaorong Wang, 2018. "A Novel Method of Protection to Prevent Reverse Power Flow Based on Neuro-Fuzzy Networks for Smart Grid," Sustainability, MDPI, vol. 10(4), pages 1-19, April.
    6. Carlos A. Reusser & Joel R. Pérez, 2020. "Evaluation of the Emission Impact of Cold-Ironing Power Systems, Using a Bi-Directional Power Flow Control Strategy," Sustainability, MDPI, vol. 13(1), pages 1-16, December.
    7. Khalid Alnowibet & Andres Annuk & Udaya Dampage & Mohamed A. Mohamed, 2021. "Effective Energy Management via False Data Detection Scheme for the Interconnected Smart Energy Hub–Microgrid System under Stochastic Framework," Sustainability, MDPI, vol. 13(21), pages 1-32, October.
    8. Ashkaboosi, Maryam & Ashkaboosi, Farnoosh & Nourani, Seyed Mehdi, 2016. "The Interaction of Cybernetics and Contemporary Economic Graphic Art as "Interactive Graphics"," MPRA Paper 72717, University Library of Munich, Germany.
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    Cited by:

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    2. Qianwen Bai & Muhammad Yousaf Raza, 2024. "Analysis of energy consumption and change structure in major economic sectors of Pakistan," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-24, July.

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