A Load Switching Group based Feeder-level Microgrid Energy Management Algorithm for Service Restoration in Power Distribution System

Conference · Mon Jul 26 00:00:00 EDT 2021 · 2021 IEEE Power & Energy Society General Meeting (PESGM)

DOI:https://doi.org/10.1109/pesgm46819.2021.9638231· OSTI ID:2329475

Hu, Rongxing ^[1]; Li, Yiyan ^[2]; Zhang, Si ^[2]; Shirsat, Ashwin ^[2]; Muthukaruppan, Valliappan ^[2]; Tang, Wenyuan ^[2]; Baran, Mesut ^[2]; Lubkeman, David ^[2]; Lu, Ning ^[2]

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1. North Carolina State University,Department of Electrical and Computer Engineering,Raleigh,NC,USA; North Carolina State University
2. North Carolina State University,Department of Electrical and Computer Engineering,Raleigh,NC,USA

This paper presents a load switching group based energy management system (LSG-EMS) for operating microgrids on a distribution feeder powered by one or multiple grid-forming distributed energy resources. Loads on a distribution feeder are divided into load switching groups that can be remotely switched on and off. The LSG-EMS algorithm, formulated as a mixed-integer linear programming (MILP) problem, has an objective function of maximizing the served loads while minimizing the total number of switching actions. A new set of topology constraints are developed for allowing multiple microgrids to be formed on the feeder and selecting the optimal supply path. Customer comfort is accounted for by maximizing the supply duration in the customer preferred service period and enforcing a minimum service duration. The proposed method is demonstrated on a modified IEEE 33-bus system using actual customer data. Simulation results show that the LSG-EMS successfully coordinates multiple grid-forming sources by selecting an optimal supply topology that maximizes the supply period of both the critical and noncritical loads while minimizing customer service interruptions in the service restoration process.

• Research Organization: North Carolina State University
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
• DOE Contract Number: EE0008770
• OSTI ID: 2329475
• Journal Information: 2021 IEEE Power & Energy Society General Meeting (PESGM), Journal Name: 2021 IEEE Power & Energy Society General Meeting (PESGM)
• Country of Publication: United States
• Language: English