4.7 Article

Fully Distributed Robust Reserve Scheduling for Coupled Transmission and Distribution Systems

期刊

IEEE TRANSACTIONS ON POWER SYSTEMS
卷 36, 期 1, 页码 169-182

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2020.3006153

关键词

Uncertainty; Generators; Convex functions; Convergence; Adaptation models; Distribution networks; Optimization; Coupled transmission and distribution system; Fully distributed framework; Reserve scheduling; Robust optimization; Two-layer iterative process

资金

  1. National Key Research and Development Program of China [2016YFB0900100]
  2. State Key Program of National Natural Science Foundation of China [51537010]
  3. State Grid Corporation of China Project [52110418000T]
  4. Qilu Youth Scholar Funding from Shandong University
  5. fifth youth talent promotion project of CSEE

向作者/读者索取更多资源

In this paper, a coordinated robust reserve scheduling model for the coupled transmission and distribution networks is proposed, using a fully distributed ADMM framework to solve the problem. A two-layer iterative process is presented to enhance the convergence, improving cost-effectiveness and reliability effectively.
To realize the potential of active distribution networks (ADNs) for improving power system flexibility and to cope with multiple uncertainties, a coordinated robust reserve scheduling (CRRS) model for the coupled transmission and distribution networks (CTD) is proposed in this paper. This model coordinates the generation resources both in the normal state and re-dispatch state to enhance the cost-effectiveness and reliability in a system perspective. A fully distributed framework based on the alternating direction method of multipliers (ADMM) is employed to solve this problem in a decentralized way. As the regional problem of the transmission system is non-convex, a two-layer iterative process (TIP) is presented to enhance the convergence property of standard ADMM. Since only the boundary information needs to be exchanged between the transmission and distribution systems, the communication burden is light and regional information is encrypted. Case studies on the T6D2 and T118D10 systems demonstrate the effectiveness of the proposed model and approach.

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