Abstract
In this paper, we consider the problem of optimizing voltage set points and switching status of components in direct current power networks subject to physical and security constraints. The problem is cast as a mixed-integer nonlinear programming with two sources of computational complexity: i) Non-convex power flow equations, and ii) The presence of binary variables accounting for the on/off status of network components. A strengthened second-order cone programming (SOCP) relaxation is developed to tackle the non-convexity of power flow equations, and a branch-and-bound search is employed for determining optimal network configurations. The efficacy of the proposed method in optimizing the operation while mitigating contingencies is experimentally validated in a real-time hardware-in-the-loop environment using IEEE benchmark data.
| Original language | English |
|---|---|
| Article number | 9094298 |
| Pages (from-to) | 4272-4284 |
| Number of pages | 13 |
| Journal | IEEE Transactions on Power Systems |
| Volume | 35 |
| Issue number | 6 |
| DOIs | |
| State | Published - Nov 2020 |
| Externally published | Yes |
Funding
Manuscript received June 28, 2019; revised December 5, 2019, February 21, 2020, and May 2, 2020; accepted May 10, 2020. Date of publication May 15, 2020; date of current version November 4, 2020. The work of Tuncay Altun, Ramtin Madani, and Ali Davoudi were supported by the National Science Foundation under Grant ECCS-1809454. The work of Ajay Pratap Yadav was supported by the Office of Naval Research under Grant N00014-17-1-2239. The technical content was approved for public release under DCN# 43-6464-20. Paper no. TPWRS-00923-2019. (Corresponding author: Ali Davoudi.) The authors are with the University of Texas at Arlington, Arlington, TX 76019 USA (e-mail: [email protected]; [email protected]; [email protected]; [email protected]; [email protected]).
Keywords
- DC network
- economic dispatch
- load shedding
- network reconfiguration
- optimal power flow