Local voltage control in distribution networks using PI control of active and reactive power

Lundberg, Martin; Samuelsson, Olof; Hillberg, Emil

doi:10.1016/j.epsr.2022.108475

Cited by 8 publications

(4 citation statements)

References 9 publications

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“…By applying Laplace transform to (11) and combining with (2), the final model of the ADN is obtained y = y 0 + P(s) i re f with P(s) = T G(s) (12) in which y 0 is a voltage bias and P(s) is the square MIMO model of the system with 2ℓ input and output.…”

Section: Overall Mimo Modelmentioning

confidence: 99%

“…However, the randomness of the primary source (wind and sun), the undesired interactions among the DERs and the unpredictability of the load demand make the voltage control imperative in the existing distribution networks to avoid larger voltage variations and voltage instability [2][3][4][5][6][7][8][9][10][11]. Failing to mitigate over-voltage can also result in VSC tripping, leading to the uncontrolled disconnection of the affected DER unit [12]. The goal to reduce voltage deviations in order to preserve voltage stability can effectively be attained by controlling the active and reactive power provided by the VSC.…”

Section: Introductionmentioning

confidence: 99%

“…A possible action to avoid instability is to lower the droop gain so that the effects of interactions are mitigated, but a larger steady state voltage error will result. An additional drawback of the Volt/VAR droop control is that with the typical range of R/X ratios of low-voltage ADNs, the reduction of over-voltages often requires excessive amounts of reactive power [12]. Aside from the droop control, generally the use of decentralized techniques poses the problem of guaranteeing voltage stability since each local controller acts without information exchange from the others controllers [31][32][33].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Applying the Integral Controllability Property in a Multi-Loop Control for Stable Voltage Regulation in an Active Distribution Network

Fusco,

Russo

2024

Energies

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Distributed Energies Resources (DERs) can be controlled for supporting the voltage regulation at nodes of an Active Distribution Network (ADN) where they are connected. However, since the ADN is a Multi-Input Multi-Output (MIMO) system with coupled dynamics, the controller of a DER mutually interacts with all other controllers through the distribution lines. These interactions lead to operating conflicts which may drive the ADN to work close to its voltage stability boundaries. To achieve a stable voltage regulation without new investment in the existing ADNs, the present paper proposes a straightforward decentralized design of the multi-loop controllers based on the property of integral controllability. The main feature of the method is that the design problem can be expressed by a single parameter designed both for reducing the effects of the undesired coupling and for increasing the degree of robust stability in the presence of parameter uncertainty in the matrix plant. Simulation studies are developed to illustrate the design result and the performance achieved under different operating conditions. The performance is also compared with the one obtained by another method in terms of the integral absolute error.

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Section: Overall Mimo Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Applying the Integral Controllability Property in a Multi-Loop Control for Stable Voltage Regulation in an Active Distribution Network

Fusco,

Russo

2024

Energies

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“…Studies have shown that PI controllers can effectively control GFMIs in a few different scenarios. A PI controller was used for the local voltage of a distributed system in [21]. The results showed that the PI controller was able to effectively track the desired power output and maintain the stable operation of the system.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Supervisory Control of Grid-Forming Inverters in Islanded Mode

et al. 2023

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This research paper presents a novel droop control strategy for sharing the load among three independent converter power systems in a microgrid. The proposed method employs a machine learning algorithm based on regression trees to regulate both the system frequency and terminal voltage at the point of common coupling (PCC). The aim is to ensure seamless transitions between different modes of operation and maintain the load demand while distributing it among the available sources. To validate the performance of the proposed approach, the paper compares it to a traditional proportional integral (PI) controller for controlling the dynamic response of the frequency and voltage at the PCC. The simulation experiments conducted in MATLAB/Simulink show the effectiveness of the regression tree machine learning algorithm over the PI controller, in terms of the step response and harmonic distortion of the system. The results of the study demonstrate that the proposed approach offers an improved stability and efficiency for the system, making it a promising solution for microgrid operations.

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Two-Stage Dynamic Voltage/Var Control in Distribution Network Considering Uncertain Distributed Generations

Qiao

Huang

2023

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Local voltage control in distribution networks using PI control of active and reactive power

Cited by 8 publications

References 9 publications

Applying the Integral Controllability Property in a Multi-Loop Control for Stable Voltage Regulation in an Active Distribution Network

Applying the Integral Controllability Property in a Multi-Loop Control for Stable Voltage Regulation in an Active Distribution Network

Machine Learning Supervisory Control of Grid-Forming Inverters in Islanded Mode

Two-Stage Dynamic Voltage/Var Control in Distribution Network Considering Uncertain Distributed Generations

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