Adaptive primal–dual control for distributed energy resource management

Comden, Joshua; Wang, Jing; Bernstein, Andrey

doi:10.1016/j.apenergy.2023.121883

Adaptive primal–dual control for distributed energy resource management

Journal Article · Mon Sep 11 00:00:00 EDT 2023 · Applied Energy

DOI:https://doi.org/10.1016/j.apenergy.2023.121883· OSTI ID:2005535

^[1]; Wang, Jing ^[1]; Bernstein, Andrey ^[1]

National Renewable Energy Laboratory (NREL), Golden, CO (United States)

With the increased adoption of distributed energy resources (DERs) in distribution networks, their coordinated control with a DER management system (DERMS) that provides grid services (e.g., voltage regulation, virtual power plant) is becoming more necessary. One particular type of DERMS using primal–dual control has recently been found to be very effective at providing multiple grid services among an aggregation of DERs; however, the main parameter, the primal–dual step size, must be manually tuned for the DERMS to be effective, which can take a considerable amount of engineering time and labor. To this end, we design a simple method that self-tunes the step size(s) and adapts it to changing system conditions. Additionally, it gives the DER management operator the ability to prioritize among possibly competing grid services. Here we evaluate the automatic tuning method on a simulation model of a real-world feeder in Colorado with data obtained from an electric utility. Through a variety of scenarios, we demonstrate that the DERMS with automatically and adaptively tuned step sizes provides higher-quality grid services than a DERMS with a manually tuned step size.

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 2005535

Report Number(s):: NREL/JA--5D00-83722; MainId:84495; UUID:2ee15d5b-74fc-446e-bfae-d1d69b334da0; MainAdminID:70557

Journal Information:: Applied Energy, Journal Name: Applied Energy Vol. 351; ISSN 0306-2619

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
distributed energy resource management system
distributed energy resources
grid service
primal-dual control
real-time optimal power flow
virtual power plant
voltage regulation

Adaptive primal–dual control for distributed energy resource management

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References (11)

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