IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v231y2024ics0960148124009224.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124009224
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.120854?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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).
    3. 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).
    4. 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.
    5. Bushra, Nayab & Hartmann, Timo, 2024. "A method for design optimization of roof-integrated two-stage solar concentrators (TSSCs)," Applied Energy, Elsevier, vol. 353(PA).
    6. 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).
    7. 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.
    8. Ghaithan, Ahmed & Hadidi, Laith & Mohammed, Awsan, 2024. "Techno-economic assessment of concentrated solar power generation in Saudi Arabia," Renewable Energy, Elsevier, vol. 220(C).
    9. 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).
    10. 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).
    11. 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).
    12. 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).
    13. 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).
    14. 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).
    15. 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).
    16. 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).
    17. 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).
    Full references (including those not matched with items on IDEAS)

    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. Liao, Jixiang & Liu, Xingye & Pang, Yunfeng, 2024. "Economic and technical optimization of a tri-generation setup integrating a partial evaporation Rankine cycle with an ejector-based refrigeration system using different solar collectors," Renewable Energy, Elsevier, vol. 236(C).
    2. Muhammad Khalid, 2019. "A Review on the Selected Applications of Battery-Supercapacitor Hybrid Energy Storage Systems for Microgrids," Energies, MDPI, vol. 12(23), pages 1-34, November.
    3. Feng, Jie & Ran, Lun & Wang, Zhiyuan & Zhang, Mengling, 2024. "Optimal energy scheduling of virtual power plant integrating electric vehicles and energy storage systems under uncertainty," Energy, Elsevier, vol. 309(C).
    4. Dong, Hanjiang & Zhu, Jizhong & Li, Shenglin & Wu, Wanli & Zhu, Haohao & Fan, Junwei, 2023. "Short-term residential household reactive power forecasting considering active power demand via deep Transformer sequence-to-sequence networks," Applied Energy, Elsevier, vol. 329(C).
    5. Ha, Le Thanh & Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2024. "Dynamic interlinkages between carbon risk and volatility of green and renewable energy: A TVP-VAR analysis," Research in International Business and Finance, Elsevier, vol. 69(C).
    6. Peng Liu & Tieyan Zhang & Furui Tian & Yun Teng & Miaodong Yang, 2024. "Hybrid Decision Support Framework for Energy Scheduling Using Stochastic Optimization and Cooperative Game Theory," Energies, MDPI, vol. 17(24), pages 1-20, December.
    7. Shi, Shouyuan & Yu, Tao & Lan, Chaofan & Pan, Zhenning, 2024. "Estimating the actual emission cost in an annual compliance cycle: Synergistic generation and carbon trading optimization for price-taking generation companies," Applied Energy, Elsevier, vol. 376(PA).
    8. Tomasz Zema & Adam Sulich, 2022. "Models of Electricity Price Forecasting: Bibliometric Research," Energies, MDPI, vol. 15(15), pages 1-18, August.
    9. Li, Yang & Vilathgamuwa, Mahinda & Choi, San Shing & Xiong, Binyu & Tang, Jinrui & Su, Yixin & Wang, Yu, 2020. "Design of minimum cost degradation-conscious lithium-ion battery energy storage system to achieve renewable power dispatchability," Applied Energy, Elsevier, vol. 260(C).
    10. Wenhao Zhuo & Andrey V. Savkin, 2019. "Profit Maximizing Control of a Microgrid with Renewable Generation and BESS Based on a Battery Cycle Life Model and Energy Price Forecasting," Energies, MDPI, vol. 12(15), pages 1-17, July.
    11. Fan, Feilong & Huang, Wentao & Tai, Nengling & Zheng, Xiaodong & Hu, Yan & Ma, Zhoujun, 2018. "A conditional depreciation balancing strategy for the equitable operation of extended hybrid energy storage systems," Applied Energy, Elsevier, vol. 228(C), pages 1937-1952.
    12. Noorollahi, Younes & Zahedi, Rahim & Ahmadi, Esmaeil & Khaledi, Arian, 2025. "Low carbon solar-based sustainable energy system planning for residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 207(C).
    13. Semmelmann, Leo & Hertel, Matthias & Kircher, Kevin J. & Mikut, Ralf & Hagenmeyer, Veit & Weinhardt, Christof, 2024. "The impact of heat pumps on day-ahead energy community load forecasting," Applied Energy, Elsevier, vol. 368(C).
    14. Zhao, Weiping & Lv, Yukun & Dong, Zhiguang & Zhao, Fang & Lv, Fengyong & Yan, Weiping, 2024. "Effect of self-cleaning superhydrophobic coating on dust deposition and performance of PV modules," Renewable Energy, Elsevier, vol. 227(C).
    15. Welcome Khulekani Ntuli & Musasa Kabeya & Katleho Moloi, 2024. "Review of Low Voltage Ride-Through Capabilities in Wind Energy Conversion System," Energies, MDPI, vol. 17(21), pages 1-33, October.
    16. Ju, Liwei & Bai, Xiping & Li, Gen & Gan, Wei & Qi, Xin & Ye, Fan, 2024. "Two-stage robust transaction optimization model and benefit allocation strategy for new energy power stations with shared energy storage considering green certificate and virtual energy storage mode," Applied Energy, Elsevier, vol. 362(C).
    17. Zhiyuan Zhang & Zhanshan Wang, 2023. "Multi-Objective Prediction of Integrated Energy System Using Generative Tractive Network," Mathematics, MDPI, vol. 11(20), pages 1-18, October.
    18. Ibrahim Alotaibi & Mohammed A. Abido & Muhammad Khalid & Andrey V. Savkin, 2020. "A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources," Energies, MDPI, vol. 13(23), pages 1-41, November.
    19. Zhao, Chuandang & Wang, Fengjuan & Xu, Jiuping & Tan, Cheng & Østergaard, Poul Alberg, 2024. "Optimal planning and operation for a grid-connected solar–wind–hydro energy system in wastewater treatment plants," Renewable Energy, Elsevier, vol. 230(C).
    20. Jiang, Yuzheng & Dong, Jun & Huang, Hexiang, 2024. "Optimal bidding strategy for the price-maker virtual power plant in the day-ahead market based on multi-agent twin delayed deep deterministic policy gradient algorithm," Energy, Elsevier, vol. 306(C).

    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:eee:renene:v:231:y:2024:i:c:s0960148124009224. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.