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

1
China Electric Power Research Institute, Beijing 100192, China
2
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
3
School of Automation, Guangdong University of Technology, Guangzhou 510006, China
4
National Electric Power Dispatching and Control Center, Beijing 100031, China
5
Robert W. Galvin Center for Electricity Innovation at Illinois Institute of Technology, Chicago, IL 60616, USA
*
Author to whom correspondence should be addressed.
Energies 2019, 12(16), 3126; https://doi.org/10.3390/en12163126
Received: 19 May 2019 / Revised: 2 August 2019 / Accepted: 5 August 2019 / Published: 14 August 2019
(This article belongs to the Special Issue Smart Management of Distributed Energy Resources)
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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. View Full-Text
Keywords: HGDC; transmission and distribution market; MI-SOCP; bidding willingness; optimal operation mode HGDC; transmission and distribution market; MI-SOCP; bidding willingness; optimal operation mode
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Liu, C.; Zhou, J.; Pan, Y.; Li, Z.; Wang, Y.; Xu, D.; Ding, Q.; Luo, Z.; Shahidehpour, M. Multi-period Market Operation of Transmission-Distribution Systems Based on Heterogeneous Decomposition and Coordination. Energies 2019, 12, 3126.

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