Robust MPC-based microgrid scheduling for resilience enhancement of distribution system

•A RMPC-based MG scheduling method is proposed.•The MGs formation model and scheduling model is optimized simultaneously.•The nonlinear model is linearized and transformed into a MILP programming problem.•The efficiency of proposed method is validated using the IEEE 37-node test system. One of the r...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:International journal of electrical power & energy systems Ročník 121; s. 106068
Hlavní autoři: Cai, Sheng, Xie, Yunyun, Wu, Qiuwei, Xiang, Zhengrong
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.10.2020
Témata:
Distribution network
Microgrid
Renewable distributed generator
Robust model predictive control
Renewable distributed generator
Microgrid
Robust model predictive control
Distribution network
ISSN:0142-0615, 1879-3517
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:•A RMPC-based MG scheduling method is proposed.•The MGs formation model and scheduling model is optimized simultaneously.•The nonlinear model is linearized and transformed into a MILP programming problem.•The efficiency of proposed method is validated using the IEEE 37-node test system. One of the requirements for a resilient distribution system with distributed generators (DGs) is to restore as many critical loads as possible during a power supply outage of the main power grid. During the outage period, the distribution network is divided into microgrids (MGs) and continuously provides power to loads. However, the uncertainty of renewable DGs’ output, which cannot be predicted perfectly, increases the difficulty of optimal operation of MGs. In this paper, an MG scheduling method is proposed based on robust model predictive control (RMPC) for the resilience enhancement of distribution networks. The DGs, energy storage devices, and switches are optimally coordinated to maximize load restoration. First, an RMPC-based two-layer MG scheduling model considering the worst-case scenario is established to schedule the structure of the MGs and the output of the DGs simultaneously. Furthermore, the original model is transformed into a single-layer programming problem using strong duality theory. The solution of the RMPC-based model can guarantee the reliability and feasibility of MGs within the predefined uncertainty sets of the DGs. The effectiveness of the proposed method is validated with the modified IEEE 37-node distribution test system.
ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2020.106068