Multi-Timescale Voltage Regulation for Distribution Network with High Photovoltaic Penetration via Coordinated Control of Multiple Devices

The high penetration of distributed photovoltaics (PV) in distribution networks (DNs) results in voltage violations, imbalances, and flickers, leading to significant disruptions in DN stability. To address this issue, this paper proposes a multi-timescale voltage regulation approach that involves th...

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Bibliographic Details
Published in:Energies (Basel) 2024-08, Vol.17 (15), p.3830
Main Authors: Yan, Qingyuan, Chen, Xunxun, Xing, Ling, Guo, Xinyu, Zhu, Chenchen
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Batteries
coordinated control
Deep learning
distributed photovoltaics
distribution network
Electric current regulators
Electric vehicles
Energy storage
Hummingbirds
Laws, regulations and rules
Mathematical models
Mathematical optimization
multi-timescale regulation
multiple devices
Optimization
Renewable resources
Solar energy industry
voltage regulation
Voltage regulators
Vultures
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Summary:The high penetration of distributed photovoltaics (PV) in distribution networks (DNs) results in voltage violations, imbalances, and flickers, leading to significant disruptions in DN stability. To address this issue, this paper proposes a multi-timescale voltage regulation approach that involves the coordinated control of a step voltage regulator (SVR), switched capacitor (SC), battery energy storage system (BESS), and electric vehicle (EV) across different timescales. During the day-ahead stage, the proposed method utilizes artificial hummingbird algorithm optimization-based least squares support vector machine (AHA-LSSVM) forecasting to predict the PV output, enabling the formulation of a day-ahead schedule for SVR and SC adjustments to maintain the voltage and voltage unbalance factor (VUF) within the limits. In the intra-day stage, a novel floating voltage threshold band (FVTB) control strategy is introduced to refine the day-ahead schedule, enhancing the voltage quality while reducing the erratic operation of SVR and SC under dead band control. For real-time operation, the African vulture optimization algorithm (AVOA) is employed to optimize the BESS output for precise voltage regulation. Additionally, a novel smoothing fluctuation threshold band (SFTB) control strategy and an initiate charging and discharging strategy (ICD) for the BESS are proposed to effectively smooth voltage fluctuations and expand the BESS capacity. To enhance user-side participation and optimize the BESS capacity curtailment, some BESSs are replaced by EVs for voltage regulation. Finally, a simulation conducted on a modified IEEE 33 system validates the efficacy of the proposed voltage regulation strategy.
ISSN:1996-1073
1996-1073
DOI:10.3390/en17153830