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Online Stochastic Optimization of Networked Distributed Energy Resources

Journal Article · · IEEE Transactions on Automatic Control
 [1];  [2];  [2]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  2. Univ. of Colorado, Boulder, CO (United States)
+ Show Author Affiliations
Our work investigates distributed control and incentive mechanisms to coordinate distributed energy resources (DERs) with both continuous and discrete decision variables as well as device dynamics in distribution grids. We formulate a multi-period social welfare maximization problem, and based on its convex relaxation propose a distributed stochastic dual gradient algorithm for managing DERs. Moreover, we extend it to an online realtime setting with time-varying operating conditions, asynchronous updates by devices, and feedback being leveraged to account for nonlinear power flows as well as reduce communication overhead. The resulting algorithm provides a general online stochastic optimization algorithm for coordinating networked DERs with discrete power setpoints and dynamics to meet operational and economic objectives and constraints. We characterize the convergence of the algorithm analytically and evaluate its performance numerically.
Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1574288
Report Number(s):
NREL/JA-5D00-74054; MainId:19823; UUID:9f53de84-5c82-e911-9c21-ac162d87dfe5; MainAdminID:8300
Journal Information:
IEEE Transactions on Automatic Control, Journal Name: IEEE Transactions on Automatic Control Journal Issue: 6 Vol. 65; ISSN 0018-9286
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

Figures / Tables (13)

Table I(p. 3)table Table I
Algorithm 1(p. 8)figure Algorithm 1
Algorithm 2(p. 9)figure Algorithm 2
Fig. 1(p. 9)figure Fig. 1
Fig. 2(p. 11)figure Fig. 2
Fig. 3(p. 11)figure Fig. 3
Fig. 4(p. 11)figure Fig. 4
Fig. 5(p. 11)figure Fig. 5
Fig. 6(p. 11)figure Fig. 6
Fig. 10(p. 12)figure Fig. 10
Fig. 7(p. 12)figure Fig. 7
Fig. 8(p. 12)figure Fig. 8
Fig. 9(p. 12)figure Fig. 9

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Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
asynchronous updates
discrete decision variables
distribution grids
real-time pricing
stochastic dual algorithm
time-varying optimization