Iterative Linearization for Phasor-Defined Optimal Power Dispatch
Conference
·
· 2020 52nd North American Power Symposium (NAPS)
- Univ. of California, Berkeley, CA (United States); California Institute for Energy and Environment
- Univ. of California, Berkeley, CA (United States)
Optimal power flow (OPF) problems, which dispatch power targets to controllable generating units across a network, must generally account for non-convex constraints on power flow. Furthermore, adapting those problems so as to make them solvable with convex optimization techniques is an area of much academic and operational interest. In this paper, we present a method for solving OPF as a quadratic program by iteratively refining and re-initializing a linearized model of power flow based on the outputs of an associated nonlinear solver. The linear model on which we demonstrate this method is an adapted version of an approximation designed for use with unbalanced distribution networks. As an important benefit, the model allows for the explicit inclusion of nodal voltage phasor values in both the OPF problem's objective and its constraints, which opens the door to the idea of phasor-based control (PBC) design. We show in simulations on the IEEE 13-node test feeder that our method quickly converges to a set of phasor targets that are sufficiently precise for use in operations at the distribution level.
- Research Organization:
- Univ. of California, Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- EE0008008
- OSTI ID:
- 1812939
- Conference Information:
- Journal Name: 2020 52nd North American Power Symposium (NAPS)
- Country of Publication:
- United States
- Language:
- English
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