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Economic dispatch of interconnected networks considering hidden flexibility

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  • Dai, Wei
  • Yang, Zhifang
  • Yu, Juan
  • Cui, Wei
  • Li, Wenyuan
  • Li, Jinghua
  • Liu, Hui

Abstract

—Owing to privacy concerns, data sharing between interconnected power networks is not always possible. Data sharing hinders cooperation among internal and external networks. Existing equivalence-based models can protect privacy and represent external characteristics. However, these models can be used only for a single-period economic dispatch, ignoring the hidden flexibility of the external network, especially the ramping flexibility. This paper proposes a multiperiod economic dispatch model considering the hidden flexibility. The hidden flexibility subjected to the operational constraints of the external network is represented by the proposed equivalent flexibility model. In this model, the operational constraints, including power balance equations, transmission capacity limits, and generation capacity limits, are equivalent to the feasible regions of tie lines based on multiparametric programming. To further capture the hidden ramping flexibility, equivalent ramping constraints are proposed, which are formulated as piecewise functions with respect to the tie line power. Based on the equivalent flexibility model, the multiperiod economic dispatch model of the interconnected power networks is constructed, which is a mixed integer linear programing (MILP) problem. A heuristic method is proposed to reduce the computational burden. The effectiveness of the proposed method is demonstrated by test systems.

Suggested Citation

  • Dai, Wei & Yang, Zhifang & Yu, Juan & Cui, Wei & Li, Wenyuan & Li, Jinghua & Liu, Hui, 2021. "Economic dispatch of interconnected networks considering hidden flexibility," Energy, Elsevier, vol. 223(C).
  • Handle: RePEc:eee:energy:v:223:y:2021:i:c:s0360544221003030
    DOI: 10.1016/j.energy.2021.120054
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    References listed on IDEAS

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    Cited by:

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    2. Lingling Li & Jiarui Pei & Qiang Shen, 2023. "A Review of Research on Dynamic and Static Economic Dispatching of Hybrid Wind–Thermal Power Microgrids," Energies, MDPI, vol. 16(10), pages 1-23, May.
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    4. Sourav Basak & Bishwajit Dey & Biplab Bhattacharyya, 2023. "Uncertainty-based dynamic economic dispatch for diverse load and wind profiles using a novel hybrid algorithm," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 4723-4763, May.
    5. Sourav Basak & Biplab Bhattacharyya & Bishwajit Dey, 2022. "Combined economic emission dispatch on dynamic systems using hybrid CSA-JAYA Algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2269-2290, October.
    6. Srikant Misra & P. K. Panigrahi & Bishwajit Dey, 2023. "An efficient way to schedule dispersed generators for a microgrid system's economical operation under various power market conditions and grid involvement," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(5), pages 1799-1809, October.

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