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Photovoltaic (PV) smart inverters can regulate voltage in distribution systems by modulating reactive power of PV systems. In this paper, an optimization framework for optimal coordination of reactive power injection of smart inverters and…

Systems and Control · Electrical Eng. & Systems 2024-12-20 Changfu Li , Vahid Disfani , Hamed Valizadeh Haghi , Jan Kleissl

This paper proposes an asychronous distributed leader-follower control method to achieve conservation voltage reduction (CVR) in three-phase unbalanced distribution systems by optimally scheduling smart inverters of distributed energy…

Systems and Control · Electrical Eng. & Systems 2021-06-11 Qianzhi Zhang , Yifei Guo , Zhaoyu Wang , Fankun Bu

Photovoltaic (PV) smart inverters can improve the voltage profile of distribution networks. A multi-objective optimization framework for coordination of reactive power injection of smart inverters and tap operations of on-load tap changers…

Systems and Control · Electrical Eng. & Systems 2020-06-26 Changfu Li , Vahid R. Disfani , Hamed Valizadeh Haghi , Jan Kleissl

The assessment of voltage stability margins is a promising direction for wide-area monitoring systems. Accurate monitoring architectures for long-term voltage instability are typically centralized and lack scalability, while completely…

Optimization and Control · Mathematics 2017-09-21 John W. Simpson-Porco , Francesco Bullo

Volt-VAR and Volt-Watt functionality in photovoltaic (PV) smart inverters provide mechanisms to ensure system voltage magnitudes and power factors remain within acceptable limits. However, these control functions can become unstable,…

Systems and Control · Electrical Eng. & Systems 2023-01-02 Daniel Arnold , Shammya Saha , Sy-Toan Ngo , Ciaran Roberts , Anna Scaglione , Nathan Johnson , Sean Peisert , David Pinney

Coordinated photovoltaic inverter control with centralized coordination of curtailment can increase the amount of energy sent from low-voltage (LV) distribution networks to the grid while respecting voltage constraints. First, this paper…

Optimization and Control · Mathematics 2020-10-20 Peter Lusis , Lachlan L H Andrew , Ariel Liebman , Guido Tack

This paper presents a decentralized volt-var optimization (VVO) and network reconfiguration strategy to address the challenges arising from the growing integration of distributed energy resources, particularly photovoltaic (PV) generation…

Optimization and Control · Mathematics 2024-01-10 Geunyeong Byeon , Kibaek Kim

This paper presents a zonal Volt/VAR control scheme that coordinates Photovoltaic (PV) inverters for providing voltage regulation on 3-phase unbalanced distribution feeders. Voltage sensitivity studies are conducted to uncover the…

Systems and Control · Electrical Eng. & Systems 2021-01-19 Asmaa Alrushoud , Catie McEntee , Ning Lu

Voltage regulation in distribution networks is challenged by increasing penetration of distributed energy resources (DERs). Thanks to advancement in power electronics, these DERs can be leveraged to regulate the grid voltage by quickly…

Optimization and Control · Mathematics 2017-07-25 Hao Jan Liu , Wei Shi , Hao Zhu

Distribution grids are currently challenged by frequent voltage excursions induced by intermittent solar generation. Smart inverters have been advocated as a fast-responding means to regulate voltage and minimize ohmic losses. Since optimal…

Optimization and Control · Mathematics 2018-07-11 Aditie Garg , Mana Jalali , Vassilis Kekatos , Nikolaos Gatsis

Distribution grids are experiencing a massive penetration of fluctuating distributed energy resources (DERs). As a result, the real-time efficient and secure operation of distribution grids becomes a paramount problem. While installing…

Systems and Control · Electrical Eng. & Systems 2022-08-31 Ilgiz Murzakhanov , Spyros Chatzivasileiadis

This paper focuses on the effective use of smart inverters for Volt/Var control (VVC) on a distribution system. New smart inverters offer Var support capability but for their effective use they need to be coordinated with existing Volt/Var…

Systems and Control · Electrical Eng. & Systems 2022-09-23 Valliappan Muthukaruppan , Yue Shi , Mesut Baran

Decentralized machine learning is a promising emerging paradigm in view of global challenges of data ownership and privacy. We consider learning of linear classification and regression models, in the setting where the training data is…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-06-20 Lie He , An Bian , Martin Jaggi

The energy landscape for the Low-Voltage (LV) networks are beginning to change; changes resulted from the increase penetration of renewables and/or the predicted increase of electric vehicles charging at home. The previously passive…

Machine Learning · Computer Science 2019-06-21 Maizura Mokhtar , Valentin Robu , David Flynn , Ciaran Higgins , Jim Whyte , Caroline Loughran , Fiona Fulton

Voltage regulation is critical for power grids. However, it has become a much more challenging problem as distributed energy resources (DERs) such as photovoltaic and wind generators are increasingly deployed, causing rapid voltage…

Systems and Control · Computer Science 2017-08-09 Xinyang Zhou , Masoud Farivar , Lijun Chen

The increasing penetration of DER with smart-inverter functionality is set to transform the electrical distribution network from a passive system, with fixed injection/consumption, to an active network with hundreds of distributed…

In this paper, we address the problem of coordinating a set of distributed energy resources (DERs) to regulate voltage in power distribution systems to desired levels. To this end, we formulate the voltage control problem as an optimization…

Optimization and Control · Mathematics 2020-06-09 Hanchen Xu , Alejandro D. Domínguez-García , Peter W. Sauer

Measurement-rich power distribution networks may enable distribution system operators (DSOs) to adopt model-less and measurement-based monitoring and control of distributed energy resources (DERs) for mitigating grid issues such as…

Systems and Control · Electrical Eng. & Systems 2022-08-03 Rahul Gupta , Fabrizio Sossan , Mario Paolone

This paper proposes a data-driven distributed voltage control approach based on the spectrum clustering and the enhanced multi-agent deep reinforcement learning (MADRL) algorithm. Via the unsupervised clustering, the whole distribution…

Systems and Control · Electrical Eng. & Systems 2020-06-02 Di Cao , Junbo Zhao , Weihao Hu , Fei Ding , Qi Huang , Zhe Chen

This paper examines distribution systems with a high integration of distributed energy resources (DERs) and addresses the design of local control methods for real-time voltage regulation. Particularly, the paper focuses on proportional…

Optimization and Control · Mathematics 2017-07-27 Kyri Baker , Andrey Bernstein , Emiliano Dall'Anese , Changhong Zhao