Online Model-Free Chance-Constrained Distribution System Voltage Control Using DERs: Preprint

Conference · Mon Jul 24 04:00:00 EDT 2023

OSTI ID:1992818

Wang, Haoyi; Yao, Yiyun; Zhao, Junbo; Ding, Fei

This paper proposes an online data-driven distributed energy resource management system (DERMS) optimization method using chance-constrained formulation to address distribution system voltage regulation. This is achieved via the local sensitivity factor (LSF)-enabled reformulation of the DER control into a linear programming (LP) problem, which is easy and computationally efficient to solve. The LSF is estimated using online measurements and does not need the assumption of node load information. The latter is usually required for existing optimization-based methods but is difficult to obtain in practice. To mitigate measurement uncertainties, a scenario-based chance-constrained formulation is constructed. Compared with other control methods, the results carried out in a realistic distribution system show that the proposed method can effectively eliminate voltage violation issues.

• Research Organization: National Renewable Energy Laboratory (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: AC36-08GO28308
• OSTI ID: 1992818
• Report Number(s): NREL/CP-5D00-84638; MainId:85411; UUID:2594335c-f7db-4d6a-92d2-dc637b29aaac; MainAdminID:69037
• Country of Publication: United States
• Language: English

Related Subjects

POWER TRANSMISSION AND DISTRIBUTION
chance-constrained optimization
distribution system voltage control
local sensitivity factor