Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (11): 2323-2336.doi: 10.16182/j.issn1004731x.joss.21-0573

• Modeling Theory and Methodology • Previous Articles     Next Articles

Bilevel Distributed Optimal Dispatch of Active Distribution Network with Multi-microgrids

Yongjun Lin(), Xin Chen(), Kai Yang, Shanshan Zhou, Qingfei Bai   

  1. State Key laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China
  • Received:2021-06-21 Revised:2021-07-27 Online:2022-11-18 Published:2022-11-25
  • Contact: Xin Chen E-mail:lin3172@163.com;1257857311@qq.com

Abstract:

With continuous increase of the penetration proportion of renewable energy in the distribution network, the traditional centralized dispatching is facing problems such as high pressure of power flow calculation and difficulty in recycling renewable energy, which makes it difficult to guarantee the operation quality of the system. A distributed optimal two-layer scheduling method for active distribution networks with multiple micro-grids is proposed. The upper-level aims to minimize the loss of regional distribution network, the second-order conical relaxation method and synchronous ADMM (alternating direction method of multipliers) algorithm are used to solve the scheduling instructions of the micro-grid connection lines. At lower-level, the coordinated scheduling of energy coupling devices such as carbon capture and storage (CCS), power-to-gas (P2G) and flexible loads are considered, and the optimization model at lower-level is established to improve economy, reduce wind and light abandonment, and ensure environmental protection, etc. A simulation platform is established based on real-time databaseto verify the effectiveness of the proposed method by taking the IEEE33 node system as an example.

Key words: microgrid group, synchronous alternating direction method of multipliers (ADMM), second-order cone relaxation, carbon capture and storage (CCS), power-to-gas (P2G)

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