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Title: Hierarchical Optimal Power Flow with Improved Gradient Evaluation

Conference ·

Existing algorithms to solve alternating-current optimal power flow (AC-OPF) often exploit linear approximations to simplify system models and accelerate computations. In this paper, we improve a recent hierarchical OPF algorithm, which rested on primal-dual gradients evaluated in a linearized distribution power flow model. Specifically, we identify a risk of voltage violation arising from the model linearization, and propose a more accurate gradient evaluation method to eliminate that risk. We further develop a hierarchical primal-dual algorithm to solve OPF based on the proposed gradient evaluation method. Numerical results on IEEE networks show that our algorithm can enhance voltage safety with satisfactory computational efficiency.

Research Organization:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE National Renewable Energy Laboratory (NREL)
DOE Contract Number:
AC36-08GO28308
OSTI ID:
1898010
Report Number(s):
NREL/CP-5D00-84186; MainId:84959; UUID:cba88637-37c8-48ed-a78e-35de232ce754; MainAdminID:67967
Resource Relation:
Conference: Presented at the 2022 American Control Conference (ACC), 8-10 June 2022, Atlanta, Georgia
Country of Publication:
United States
Language:
English

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