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Multi-period Market Operation of Transmission-Distribution Systems Based on Heterogeneous Decomposition and Coordination

Author

Listed:
  • Cong Liu

    (China Electric Power Research Institute, Beijing 100192, China)

  • Jingyang Zhou

    (China Electric Power Research Institute, Beijing 100192, China)

  • Yi Pan

    (China Electric Power Research Institute, Beijing 100192, China)

  • Zhiyi Li

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Yifei Wang

    (School of Automation, Guangdong University of Technology, Guangzhou 510006, China)

  • Dan Xu

    (China Electric Power Research Institute, Beijing 100192, China)

  • Qiang Ding

    (China Electric Power Research Institute, Beijing 100192, China)

  • Zhiqiang Luo

    (National Electric Power Dispatching and Control Center, Beijing 100031, China)

  • Mohammad Shahidehpour

    (Robert W. Galvin Center for Electricity Innovation at Illinois Institute of Technology, Chicago, IL 60616, USA)

Abstract

The integration of shiftable/curtailment distribution generators (DGs) along with quick-response storage has not only increased the transaction’s flexibility but also puzzled the bidding willingness of transmission-connected market players (TMPs). In this paper, the method of heterogeneous decomposition and coordination (HGDC) is applied to decompose the integrated transmission-distribution market framework into a bi-level problem with a transmission wholesale market master problem and several distribution retail market subproblems in a decentralized organization structure. The price-based bidding willingness of demand-side resources’ (DSRs’) aggregator is simulated considering the relation between distribution system operator’s (DSO’s) operation modes and its equivalent market transactive price. Besides the traditional mixed-integer linear programming (MILP) model, the active reconfiguration model of DSOs based on mixed-integer second-order conic programming (MI-SOCP) is proposed to rearrange its operation switch status and elaborate its operation cost according to the market transaction. Multi-period optimal operation modes could be obtained through an HGDC-based iteration process by coordinating the transmission system operator (TSO) with DSOs and considering the market energy equilibrium and reserve requirements for security considerations. Karush-Kuhn-Tucker (KKT) conditions are used to testify the optimality and convergence of the bi-level model in theory. The T5-3D33 case is employed to illustrate the efficiency of the proposed model and method.

Suggested Citation

  • Cong Liu & Jingyang Zhou & Yi Pan & Zhiyi Li & Yifei Wang & Dan Xu & Qiang Ding & Zhiqiang Luo & Mohammad Shahidehpour, 2019. "Multi-period Market Operation of Transmission-Distribution Systems Based on Heterogeneous Decomposition and Coordination," Energies, MDPI, vol. 12(16), pages 1-20, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3126-:d:257634
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    References listed on IDEAS

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    1. Wang, Jianxiao & Zhong, Haiwang & Tang, Wenyuan & Rajagopal, Ram & Xia, Qing & Kang, Chongqing & Wang, Yi, 2017. "Optimal bidding strategy for microgrids in joint energy and ancillary service markets considering flexible ramping products," Applied Energy, Elsevier, vol. 205(C), pages 294-303.
    2. Gerard, Helena & Rivero Puente, Enrique Israel & Six, Daan, 2018. "Coordination between transmission and distribution system operators in the electricity sector: A conceptual framework," Utilities Policy, Elsevier, vol. 50(C), pages 40-48.
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    Cited by:

    1. Schwidtal, J.M. & Piccini, P. & Troncia, M. & Chitchyan, R. & Montakhabi, M. & Francis, C. & Gorbatcheva, A. & Capper, T. & Mustafa, M.A. & Andoni, M. & Robu, V. & Bahloul, M. & Scott, I.J. & Mbavarir, 2023. "Emerging business models in local energy markets: A systematic review of peer-to-peer, community self-consumption, and transactive energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    2. Capper, Timothy & Gorbatcheva, Anna & Mustafa, Mustafa A. & Bahloul, Mohamed & Schwidtal, Jan Marc & Chitchyan, Ruzanna & Andoni, Merlinda & Robu, Valentin & Montakhabi, Mehdi & Scott, Ian J. & Franci, 2022. "Peer-to-peer, community self-consumption, and transactive energy: A systematic literature review of local energy market models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).

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