A Modular Optimal Power Flow Method for Integrating New Technologies in Distribution Grids

Conference · Thu Aug 06 04:00:00 EDT 2020

OSTI ID:1760328

Hanif, Sarmad ^[1]; Alam, Md Jan E. ^[1]; Bhatti, Bilal A. ^[2]

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1. BATTELLE (PACIFIC NW LAB)
2. Virginia Tech

This work proposes a modular concept to build optimal power flow (OPF) models for distribution networks containing various emerging technologies under diverse ownership structures, to efficiently deal with evolving technology capabilities and information sharing or privacy constraints. This concept will support any typical OPF application (e.g., optimal dispatch of a given asset without violating grid constraints) by coordinating between grid module and technology module without the need to recreate various modeling elements as technology capability changes due to innovation. Moreover, the modularity of the proposed concept enables achieving system level objectives without sharing detailed information on module level objectives and constraints among modules. To achieve this, the proposed work develops a gradient-descent algorithm which builds upon the literature on the state-of-the-art power flow approximation. The proposed concept is demonstrated with two case studies of i) controllable loads and ii) battery energy storage system (BESS) on an actual large-scale distribution grid.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1760328
• Report Number(s): PNNL-SA-149018
• Country of Publication: United States
• Language: English