Autonomous optimized economic dispatch of active distribution system with multi-microgrids

• Published in: Energy (Oxford) Vol. 153; pp. 479 - 489
• Main Authors: Xie, Min, Ji, Xiang, Hu, Xintong, Cheng, Peijun, Du, Yuxin, Liu, Mingbo
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 15.06.2018; Elsevier BV
• Subjects: Active distribution system; Analytical target cascading; Autonomous optimized economic dispatch; Distributed generation; Domain names; Electric power grids; Electricity distribution; Energy resources; Energy sources; Interest game; Multi-microgrids; Optimization; Optimization algorithms; Power dispatch; Autonomous optimized economic dispatch; Active distribution system; Analytical target cascading; Interest game; Multi-microgrids
• ISSN: 0360-5442; 1873-6785
• DOI: 10.1016/j.energy.2018.04.021

With the development of the active distribution system (ADS) and multi-microgrids (MGs), increasing numbers of distributed energy resources are connected to distribution networks (DNs) using MGs. The competition between DN and MGs brings a huge challenge to efficient power system dispatching. For the strong decentralized and autonomous characteristic of ADS, this paper proposes an autonomous optimization model of the active distribution system with MGs based on analytical target cascading theory (ATC). DNs and MGs are regarded as topics of different interest. Based on their detailed models, ATC theory is proposed to decouple the dispatching of DNs and MGs by modeling the tie-line flow as a pseudo-generator/load, so that MGs and DNs can autonomously utilize their distinct resources to optimize their operation and economic benefits. Various uncertain factors are also considered by using chance-constrained programming. A modified IEEE 33 system and an actual regional DN are studied to show the effectiveness of the proposed algorithm. •Active distribution system dispatch with multi-microgrids.•The tie-line power flow decoupling model for active distribution system.•Analytical target cascading theory based decentralized and autonomous dispatch.•Parallel computation performed with good computational efficiency.