Journal
IEEE TRANSACTIONS ON POWER SYSTEMS
Volume 36, Issue 4, Pages 3645-3656Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2021.3049135
Keywords
Distributed Energy Resources (DERs); distributed optimization; loss minimization; optimal power flow
Categories
Funding
- U.S. Department of Energy [DE-AC05-76RL01830]
Ask authors/readers for more resources
The paper introduces a new distributed optimization method based on Equivalent Network Approximation (ENApp) for solving optimization problems in power distribution systems. By leveraging the radial topology of the distribution system, the communication rounds required for convergence are significantly reduced, achieving the same optimal solution as centralized optimization methods.
The limitations of centralized optimization methods for power systems operation have led to the distributed computing paradigm, particularly in power distribution systems. The existing techniques reported in recent literature for solving distributed optimization problems are not viable for power distribution systems applications. The essential drawback remains a large number of required communication rounds, i.e., macro-iterations among the computing agents to solve one instance of the optimization problem; the typical number of macro-iterations are in the order of 10(2)similar to 10(3). In this paper, a new and scalable distributed optimization method based on Equivalent Network Approximation (ENApp) is proposed to solve optimal power flow (OPF) for a balanced radial distribution system. Specifically, the distribution system's radial topology is leveraged to reduce the decomposed systems into upstream and downstream network equivalents. The proposed innovations reduce the required number of macro-iterations/communication-rounds for convergence by order of magnitude. The approach is validated using IEEE 123-bus and IEEE 8500-node test systems and is shown to converge to the same optimal solution as obtained using an equivalent centralized OPF (C-OPF) model.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available