Feedback-Based Projected-Gradient Method For Real-Time Optimization of Aggregations of Energy Resources: Preprint

Conference · Mon Nov 27 00:00:00 EST 2017

OSTI ID:1410965

Dall-Anese, Emiliano ^[1]; Bernstein, Andrey ^[1]; Simonetto, Andrea ^[2]

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1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
2. IBM Research Center Ireland

This paper develops an online optimization method to maximize the operational objectives of distribution-level distributed energy resources (DERs) while adjusting the aggregate power generated (or consumed) in response to services requested by grid operators. The design of the online algorithm is based on a projected-gradient method, suitably modified to accommodate appropriate measurements from the distribution network and the DERs. By virtue of this approach, the resultant algorithm can cope with inaccuracies in the representation of the AC power, it avoids pervasive metering to gather the state of noncontrollable resources, and it naturally lends itself to a distributed implementation. Optimality claims are established in terms of tracking of the solution of a well-posed time-varying optimization problem.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Advanced Research Projects Agency - Energy (ARPA-E)
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1410965
• Report Number(s): NREL/CP-5D00-68500
• Conference Information: Presented at the 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP), 14-16 November 2017, Montreal, Quebec, Canada
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
DERs
distributed energy resources
distribution
online optimization