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Coordination between mid-term maintenance outage decisions and short-term security-constrained scheduling in smart distribution systems

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  • Fotouhi Ghazvini, M.A.
  • Morais, Hugo
  • Vale, Zita

Abstract

Distribution systems are the first volunteers experiencing the benefits of smart grids. The smart grid concept impacts the internal legislation and standards in grid-connected and isolated distribution systems. Demand side management, the main feature of smart grids, acquires clear meaning in low voltage distribution systems. In these networks, various coordination procedures are required between domestic, commercial and industrial consumers, producers and the system operator. Obviously, the technical basis for bidirectional communication is the prerequisite of developing such a coordination procedure. The main coordination is required when the operator tries to dispatch the producers according to their own preferences without neglecting its inherent responsibility. Maintenance decisions are first determined by generating companies, and then the operator has to check and probably modify them for final approval. In this paper the generation scheduling from the viewpoint of a distribution system operator (DSO) is formulated. The traditional task of the DSO is securing network reliability and quality. The effectiveness of the proposed method is assessed by applying it to a 6-bus and 9-bus distribution system.

Suggested Citation

  • Fotouhi Ghazvini, M.A. & Morais, Hugo & Vale, Zita, 2012. "Coordination between mid-term maintenance outage decisions and short-term security-constrained scheduling in smart distribution systems," Applied Energy, Elsevier, vol. 96(C), pages 281-291.
  • Handle: RePEc:eee:appene:v:96:y:2012:i:c:p:281-291
    DOI: 10.1016/j.apenergy.2011.11.015
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    2. Rokhforoz, Pegah & Gjorgiev, Blazhe & Sansavini, Giovanni & Fink, Olga, 2021. "Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
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    7. Liu, Jia & Cheng, Haozhong & Zeng, Pingliang & Yao, Liangzhong & Shang, Ce & Tian, Yuan, 2018. "Decentralized stochastic optimization based planning of integrated transmission and distribution networks with distributed generation penetration," Applied Energy, Elsevier, vol. 220(C), pages 800-813.
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    10. Ruiz-Romero, Salvador & Colmenar-Santos, Antonio & Mur-Pérez, Francisco & López-Rey, África, 2014. "Integration of distributed generation in the power distribution network: The need for smart grid control systems, communication and equipment for a smart city — Use cases," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 223-234.
    11. Leszczyński, Jacek S. & Gryboś, Dominik & Markowski, Jan, 2023. "Analysis of optimal expansion dynamics in a reciprocating drive for a micro-CAES production system," Applied Energy, Elsevier, vol. 350(C).
    12. Omid Sadeghian & Arash Moradzadeh & Behnam Mohammadi-Ivatloo & Mehdi Abapour & Fausto Pedro Garcia Marquez, 2020. "Generation Units Maintenance in Combined Heat and Power Integrated Systems Using the Mixed Integer Quadratic Programming Approach," Energies, MDPI, vol. 13(11), pages 1-25, June.
    13. Colak, Ilhami & Fulli, Gianluca & Sagiroglu, Seref & Yesilbudak, Mehmet & Covrig, Catalin-Felix, 2015. "Smart grid projects in Europe: Current status, maturity and future scenarios," Applied Energy, Elsevier, vol. 152(C), pages 58-70.
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