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

Conference ·
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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:
2229563
Report Number(s):
NREL/CP-5D00-88270; MainId:89045; UUID:c97323df-a72e-4b17-9a1a-ddc8aae74c8d; MainAdminID:71269
Resource Relation:
Conference: Presented at the the 2023 IEEE Power & Energy Society General Meeting (PESGM), 16-20 July 2023, Orlando, Florida; Related Information: 84638
Country of Publication:
United States
Language:
English

References (15)

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Application of autonomous smart inverter Volt-VAR function for voltage reduction energy savings and power quality in electric distribution systems conference April 2017
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A Distributed Framework for Solving and Benchmarking Security Constrained Unit Commitment With Warm Start journal January 2020
Data-Driven Voltage Regulation in Radial Power Distribution Systems journal May 2020
A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems journal May 2019
Aggregation Model-Based Optimization for Electric Vehicle Charging Strategy journal June 2013
Data-Driven Probabilistic Power Flow Analysis for a Distribution System With Renewable Energy Sources Using Monte Carlo Simulation journal January 2019
Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs journal September 2021

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Related Subjects

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