Application of smart transformers in power systems including PV and storage systems under unbalanced and nonlinear load and fault condition

Zahernia, Arash; Rahbarimagham, Hesam

doi:10.1016/j.epsr.2021.107535

Cited by 11 publications

(3 citation statements)

References 10 publications

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“…By comparison, our hybrid ANFIS--PSO method concurrently trains all parameters while minimizing the mean square error. Te conventional PO and INC methods are detailed in [26]. Te output signals of the PSO-based ANFIS and PO or INC techniques are averaged to obtain the fnal trigger signal for the boost DC/DC converter's MOSFET switch using the following equations:…”

Section: Proposed Mppt Methodmentioning

confidence: 99%

“…Te controller parameters are used as choice variables in an optimization model of the design issue. In the work [26], a control system that enables the DC link of a smart transformer (ST) to be coupled with distributed generating sources and storage systems is used. Tis feature allows the ST to continue supplying power to connected applications in emergency situations, such as power outages.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Coordinated Control and Load Shifting-Based Demand Management of a Smart Microgrid Adopting Energy Internet

Jasim,

Alhasnawi

et al. 2023

International Transactions on Electrical Energy Systems

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High renewable energy penetration worsens systems instability. Balancing consumption energy and generation output energy reduces this instability. This paper introduces coordination control to coordinate the flow of electricity between MG buses and to stabilize the system under variable load, generation conditions. The adopted MG regulates the bidirectional DC/AC main converter using digital proportional resonant controllers in a synchronous reference frame. A maximum power point tracker-based boost DC/DC converter enables the wind turbine and solar photovoltaic to harvest maximum power. Traditional methods such as perturb and observe and incremental conductance maximum power trackers cannot solve nonlinearity and inaccurate responses. This work provides a hybrid maximum power tracker strategy to modify the responses of standard maximum power point techniques based on particle swarm optimization-trained adaptive neuro-fuzzy inference system (ANFIS-PSO) to achieve quick and maximum solar power with minimal oscillation tracking. Concerning the management system, this paper adopts a recent meta-heuristic algorithms-based DSM program to modify consumers’ electricity use by shifting the load appliances to off-peak demand periods. The adopted algorithms for DSM are sparrow search algorithm (SSA), binary orientation search algorithm (BSOA), and cockroach algorithm (CA). Finally, based on energy Internet technology, ThingSpeak cloud-based MATLAB is adopted to gather and display real-time data streams and generate graphical analyses. The simulation results reveal that the recommended coordinating control produces quick grid frequency responsiveness and zero steady-state errors. The optimal demand management program minimizes peak energy consumption from 5.2 kWh to 4.6 kWh. All DSM methods cost 439.1 $ per month, compared to 484.4 $ for the nonscheduling load profile.

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Section: Proposed Mppt Methodmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Coordinated Control and Load Shifting-Based Demand Management of a Smart Microgrid Adopting Energy Internet

Jasim,

Alhasnawi

et al. 2023

International Transactions on Electrical Energy Systems

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show abstract

“…A smart transformer is a type of powerelectric-based transformer, and its grid controllability is enabled by fully controllable power converters. Compared to traditional distribution transformers, ST has the advantages of precise and continuous voltage regulation, four-quadrant power control, active power factor correction, harmonic suppression, compact volume size, etc., making it an ideal replacement for traditional transformers in applications like active voltage control, primary frequency regulation, and bidirectional power flow management [3,4]. Although smart transformers are promising alternatives to traditional transformers, the high investment cost, low reliability, and scalability issues restrict their large-scale practical implementations, and only limited applications can be traced from demonstration projects [5].…”

Section: Introductionmentioning

confidence: 99%

Multi-Mode Control of a Hybrid Transformer for the Coordinated Regulation of Voltage and Reverse Power in Active Distribution Network

Xu,

Zhang,

Qiu

et al. 2024

Processes

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The unprecedented growth of distributed renewable generation is changing the distribution network from passive to active, resulting in issues like reverse power flow, voltage violations, malfunction of protection relays, etc. To ensure the reliable and flawless operation of active distribution networks, an electrical device enabling active network management is necessary, and a hybrid distribution transformer offers a promising solution. This study introduces a novel hybrid transformer topology and multi-mode control strategy to achieve coordinated voltage and reverse power regulation in active distribution networks. The proposed hybrid transformer combines conventional transformer windings with a partially rated SiC-MOSFET-based back-to-back converter, reducing additional investment costs and enhancing system reliability. A multi-mode control strategy is proposed to facilitate the concurrent reverse power control and voltage violation mitigation of the presented hybrid transformer, allowing a smooth transition between the P–Q control mode and the V–f control mode. The control mode switching can be activated manually or autonomously in response to voltage violations or reverse power overloading. The effectiveness of the proposed hybrid transformer configuration and its control mode transition mechanism are examined through comprehensive case studies conducted in the PSCAD/EMTDC environment. The proposed HT design has been confirmed to achieve a voltage regulation range of ±20% of the nominal voltage and effectively regulate bidirectional active power flow within a range of −25% to 25% of the rated power.

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An Enhanced Drift-Free Perturb and Observe Maximum Power Point Tracking Method Using Hybrid Metaheuristic Algorithm for a Solar Photovoltaic Power System

Pathak,

Katyal,

Gaur

2023

Iran J Sci Technol Trans Electr Eng

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Application of smart transformers in power systems including PV and storage systems under unbalanced and nonlinear load and fault condition

Cited by 11 publications

References 10 publications

Coordinated Control and Load Shifting-Based Demand Management of a Smart Microgrid Adopting Energy Internet

Coordinated Control and Load Shifting-Based Demand Management of a Smart Microgrid Adopting Energy Internet

Multi-Mode Control of a Hybrid Transformer for the Coordinated Regulation of Voltage and Reverse Power in Active Distribution Network

An Enhanced Drift-Free Perturb and Observe Maximum Power Point Tracking Method Using Hybrid Metaheuristic Algorithm for a Solar Photovoltaic Power System

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