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

Cong Liu, Jingyang Zhou, Yi Pan, Zhiyi Li, Yifei Wang, Dan Xu, Qiang Ding, Zhiqiang Luo and Mohammad Shahidehpour
Additional contact information
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

Energies, 2019, vol. 12, issue 16, 1-20

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.

Keywords: HGDC; transmission and distribution market; MI-SOCP; bidding willingness; optimal operation mode (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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