Multi-Level Cooperative Scheduling Based on Robust Optimization Considering Flexibilities and Uncertainties of ADN and MG

Ziqi Zhang, Zhong Chen, Qi Zhao and Puliang Du
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Ziqi Zhang: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Zhong Chen: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Qi Zhao: Suzhou Power Supply Branch, State Grid Jiangsu Electric Power Co., Ltd., Suzhou 215004, China
Puliang Du: School of Electrical Engineering, Southeast University, Nanjing 210096, China

Energies, 2021, vol. 14, issue 21, 1-23

Abstract: This paper develops the coordination structure and method for utilizing flexibilities in a Micro-Grid (MG), an Active Distribution Network (ADN) and a Transmission Grid (TG), which can play an essential role in addressing the uncertainties caused by renewable energy power generation (REPG). For cooperative dispatching, both flexibilities and uncertainties on the interface of MG–ADN and ADN–TG are portrayed in unified forms utilizing robust optimization (RO), based on the modified equipment-level model of flexible resources. The Constraint-and-Column Generation method is adopted to solve the RO control problems. Simulations on the modified IEEE case-6 and case-33 systems are carried out. The results suggest that the proposed algorithm can exploit flexible resources in both an MG and an ADN, improving the economy and promoting REPG consumption within each level (MG, ADN and TG) while reducing uncertainties and providing flexibilities for superior operators.

Keywords: multi-level scheduling; robust optimization (RO); flexibility and uncertainty; renewable energy power generation (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: 2021
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