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A techno-economic framework for optimizing multi-area power dispatch in microgrids with tie-line constraints

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  • Khalid, Muhammad

Abstract

Fuel-fired power plants are the primary electricity sources in Saudi Arabia. This investigation aims to reduce the overall costs and emissions of electricity production from thermal units operated by the Shuqaiq Water and Electricity Company. It also considers practical thermoelectric constraints, such as power losses, ramp-rate constraints, and environmental optimization functions, to align with the sustainability goals of Saudi Vision 2030. Optimizing electric energy delivery is crucial within an energy control center. The focus of this work is to develop an advanced computational technique that reduces reliance on fossil fuels and minimizes the production cost of electricity, while also considering environmental emissions as an optimization function. An examination was conducted through two distinct practical case studies with power demand of 850 MW—one involving renewable sources and the other without—to assess the effectiveness of the hybrid crow search and JAYA optimization algorithm in optimizing performance. This system includes a multi-area setup with limitations on the tie-line power flow constraints. Additionally, the study also involved RETScreen modelling to assess the practical financial, emission, and benchmark analysis of a proposed integrated solar plant. This analyses offers a thorough assessment of the facility’s performance and reliability in practical situations. This study serves as a motivating factor for energy operators, stakeholders, governmental organizations, and grid administrators to invest resources in environmentally-friendly initiatives. The simulation results showed that the proposed approach successfully reduced the electricity cost by 2.29% and 3.70% in hybrid energy networks while effectively handling the system constraints. In addition, the analysis revealed that the optimization algorithm effectively decreased toxic emissions from power plants while also supporting the sustainability objectives of United Nations SDG-7 and Saudi Vision 2030 through the successful integration of renewable sources.

Suggested Citation

  • Khalid, Muhammad, 2024. "A techno-economic framework for optimizing multi-area power dispatch in microgrids with tie-line constraints," Renewable Energy, Elsevier, vol. 231(C).
    • Handle: RePEc:eee:renene:v:231:y:2024:i:c:s0960148124009224
    DOI: 10.1016/j.renene.2024.120854
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    References listed on IDEAS

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    1. Ijaz Ahmed & Um-E-Habiba Alvi & Abdul Basit & Tayyaba Khursheed & Alwena Alvi & Keum-Shik Hong & Muhammad Rehan, 2022. "A novel hybrid soft computing optimization framework for dynamic economic dispatch problem of complex non-convex contiguous constrained machines," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-32, January.
    2. Ghaithan, Ahmed & Hadidi, Laith & Mohammed, Awsan, 2024. "Techno-economic assessment of concentrated solar power generation in Saudi Arabia," Renewable Energy, Elsevier, vol. 220(C).
    3. Khalid, Muhammad & Aguilera, Ricardo P. & Savkin, Andrey V. & Agelidis, Vassilios G., 2018. "On maximizing profit of wind-battery supported power station based on wind power and energy price forecasting," Applied Energy, Elsevier, vol. 211(C), pages 764-773.
    4. Ji, Weiming & Hong, Feng & Zhao, Yuzheng & Liang, Lu & Du, Hao & Hao, Junhong & Fang, Fang & Liu, Jizhen, 2024. "Applications of flywheel energy storage system on load frequency regulation combined with various power generations: A review," Renewable Energy, Elsevier, vol. 223(C).
    5. Ahmed, Ijaz & Rehan, Muhammad & Basit, Abdul & Malik, Saddam Hussain & Ahmed, Waqas & Hong, Keum-Shik, 2024. "Adaptive salp swarm algorithm for sustainable economic and environmental dispatch under renewable energy sources," Renewable Energy, Elsevier, vol. 223(C).
    6. Zhu, Jizhong & Dong, Hanjiang & Zheng, Weiye & Li, Shenglin & Huang, Yanting & Xi, Lei, 2022. "Review and prospect of data-driven techniques for load forecasting in integrated energy systems," Applied Energy, Elsevier, vol. 321(C).
    7. Charbonnier, Flora & Morstyn, Thomas & McCulloch, Malcolm D., 2022. "Coordination of resources at the edge of the electricity grid: Systematic review and taxonomy," Applied Energy, Elsevier, vol. 318(C).
    8. Ahmed, Ijaz & Rehan, Muhammad & Basit, Abdul & Malik, Saddam Hussain & Alvi, Um-E-Habiba & Hong, Keum-Shik, 2022. "Multi-area economic emission dispatch for large-scale multi-fueled power plants contemplating inter-connected grid tie-lines power flow limitations," Energy, Elsevier, vol. 261(PB).
    9. Belaïd, Fateh & Al-Sarihi, Aisha, 2024. "Saudi Arabia energy transition in a post-paris agreement era: An analysis with a multi-level perspective approach," Research in International Business and Finance, Elsevier, vol. 67(PB).
    10. Dhaubanjar, Sanita & Lutz, Arthur F & Pradhananga, Saurav & Smolenaars, Wouter & Khanal, Sonu & Biemans, Hester & Nepal, Santosh & Ludwig, Fulco & Shrestha, Arun Bhakta & Immerzeel, Walter W, 2024. "From theoretical to sustainable potential for run-of-river hydropower development in the upper Indus basin," Applied Energy, Elsevier, vol. 357(C).
    11. Cheng, Haoyuan & Lu, Tianguang & Hao, Ran & Li, Jiamei & Ai, Qian, 2024. "Incentive-based demand response optimization method based on federated learning with a focus on user privacy protection," Applied Energy, Elsevier, vol. 358(C).
    12. Laimon, M. & Yusaf, T., 2024. "Towards energy freedom: Exploring sustainable solutions for energy independence and self-sufficiency using integrated renewable energy-driven hydrogen system," Renewable Energy, Elsevier, vol. 222(C).
    13. Shijin Wang, 2024. "Opportunities and threats of cryosphere change to the achievement of UN 2030 SDGs," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    14. Wei, Xuan & Xu, Yinliang & Sun, Hongbin & Bai, Xiang & Chang, Xinyue & Xue, Yixun, 2024. "Day-ahead optimal dispatch of a virtual power plant in the joint energy-reserve-carbon market," Applied Energy, Elsevier, vol. 356(C).
    15. Sarvar-Ardeh, Sajjad & Rashidi, Saman & Rafee, Roohollah & Li, Guiqiang, 2024. "Recent advances in the applications of solar-driven co-generation systems for heat, freshwater and power," Renewable Energy, Elsevier, vol. 225(C).
    16. Bushra, Nayab & Hartmann, Timo, 2024. "A method for design optimization of roof-integrated two-stage solar concentrators (TSSCs)," Applied Energy, Elsevier, vol. 353(PA).
    17. AlZahrani, Khaled S., 2023. "Experimental investigation of soiling impact on PV module performance in Yanbu Al Sinaiyah, Saudi Arabia," Renewable Energy, Elsevier, vol. 216(C).
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