Multi-Level Optimal Power Flow Solver in Large Distribution Networks
Solving optimal power flow (OPF) problems for large distribution networks incurs high computational complexity. We consider a large multi-phase distribution network of tree topology with a deep penetration of active devices. We divide the network into collaborating areas featuring subtree topology and subareas featuring subsubtree topology. We design a multilevel implementation of the primal-dual gradient algorithm to solve the voltage regulation OPF problems while preserving nodal voltage information and topological information within areas and subareas. Numerical results on a 4,521-node system verify that the proposed algorithm can significantly improve the computational speed without compromising any optimality.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- DOE Contract Number:
- DE-AC36-08GO28308
- OSTI ID:
- 1766868
- Report Number(s):
- NREL/CP-5D00-79161; MainId:33387; UUID:f7acd03f-da70-4029-9437-2a73b9622892; MainAdminID:19686
- Resource Relation:
- Conference: Presented at the 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 11-13 November 2020, Tempe, Arizona; Related Information: 77786
- Country of Publication:
- United States
- Language:
- English
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