Coordinated photovoltaic re-phasing: A novel method to maximize renewable energy integration in low voltage networks by mitigating network unbalances

Bandara, Wele Gedara Chaminda; Godaliyadda, G. M. R. I.; Ekanayake, M. P. B.; Ekanayake, Janaka

doi:10.1016/j.apenergy.2020.116022

Cited by 20 publications

(3 citation statements)

References 62 publications

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“…Reference [20] presents an investigative analysis on the application of wildfire monitoring sensors in monitoring PQ events. With the introduction of newly developed technologies into the investigation of electric power, deep learning methods are also being explored to address PQ issues, focusing on application [21], type of data, and learning technique [22]. Wei et al [23] employed a principal component analysis with a support vector machine to monitor disturbances, reducing the curse of dimensionality in the original data, and also used an extreme learning machine to classify PQ events.…”

Section: Introductionmentioning

confidence: 99%

Dynamics Power Quality Cost Assessment Based on a Gradient Descent Method

Zhang,

Sheng,

et al. 2024

Energies

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The escalating demand for power load is increasingly prone to triggering power quality (PQ) issues, leading to severe economic losses. Aiming at reducing the economic losses, this paper focuses on the coordinated relationship between PQ and economic costs. Firstly, a multilayer multiple linear stepwise regression method is employed to screen PQ indicators, identifying harmonic and voltage deviation as the primary influencing factors of PQ. Secondly, a gradient descent optimization algorithm based on the Least Absolute Shrinkage and Selection Operator (LASSO) is proposed, enabling rapid computation of the minimum PQ cost. Finally, through validations of two case studies, the results confirm that the proposed method can rapidly calculate the minimum PQ cost based on real-time load demands, enabling the dynamic adjustment of PQ cost to meet the evolving needs of power system development.

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Section: Introductionmentioning

confidence: 99%

Dynamics Power Quality Cost Assessment Based on a Gradient Descent Method

Zhang,

Sheng,

et al. 2024

Energies

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“…Voltage magnitude and especially voltage unbalance problems are often resolved with the installation of low-cost phase switching or phase swapping devices. The authors in [24] propose a novel method that determines optimal PVs re-phasing and successfully avoids voltage unbalance, while simultaneously increasing a PV hosting capacity. A scheme proposed in [25] uses a central controller that transfers residential loads from one phase to another so that voltage unbalance is minimized along the feeder.…”

Section: Introductionmentioning

confidence: 99%

Utilization of physical devices for the improvement of power quality indicators during the COVID-19 pandemic and uncoordinated integration of low carbon units

Antić

Capuder

2022

Sustainable Energy, Grids and Networks

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“…However, since the conventional LVDG was designed based on the assumption that power flow would be from the primary substation to the loads [5], high PV penetration gives rise to unforeseen problems [6]. The high penetration of rooftop PV in LVDGs can result in reverse power flows [7] and an increase in the neutral current, leading to distribution and transformer losses due to overheating of the conductor [5,[8][9][10][11]. A major problem of reverse power flow is the occurrence of upper limit voltage violations, where the node voltage at specific points of LVDGs is greater than the specified limit [12].…”

Section: Introductionmentioning

confidence: 99%

A Sensitivity Matrix Approach Using Two-Stage Optimization for Voltage Regulation of LV Networks with High PV Penetration

et al. 2021

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The occurrence of voltage violations is a major deterrent for absorbing more rooftop solar power into smart Low-Voltage Distribution Grids (LVDGs). Recent studies have focused on decentralized control methods to solve this problem due to the high computational time in performing load flows in centralized control techniques. To address this issue, a novel sensitivity matrix was developed to estimate the voltages of the network by replacing load flow simulations. In this paper, a Centralized Active, Reactive Power Management System (CARPMS) is proposed to optimally utilize the reactive power capability of smart Photovoltaic (PV) inverters with minimal active power curtailment to mitigate the voltage violation problem. The developed sensitivity matrix is able to reduce the time consumed by 55.1% compared to load flow simulations, enabling near-real-time control optimization. Given the large solution space of power systems, a novel two-stage optimization is proposed, where the solution space is narrowed down by a Feasible Region Search (FRS) step, followed by Particle Swarm Optimization (PSO). The failure of standalone PSO to converge to a feasible solution for 34% of the scenarios evaluated further validates the necessity of the two-stage optimization using FRS. The performance of the proposed methodology was analysed in comparison to the load flow method to demonstrate the accuracy and the capability of the optimization algorithm to mitigate voltage violations in near-real time. The deviations of the mean voltages of the proposed methodology from the load flow method were: 6.5×10−3 p.u for reactive power control using Q-injection, 1.02×10−2 p.u for reactive power control using Q-absorption, and 0 p.u for active power curtailment case.

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Coordinated photovoltaic re-phasing: A novel method to maximize renewable energy integration in low voltage networks by mitigating network unbalances

Cited by 20 publications

References 62 publications

Dynamics Power Quality Cost Assessment Based on a Gradient Descent Method

Dynamics Power Quality Cost Assessment Based on a Gradient Descent Method

Utilization of physical devices for the improvement of power quality indicators during the COVID-19 pandemic and uncoordinated integration of low carbon units

A Sensitivity Matrix Approach Using Two-Stage Optimization for Voltage Regulation of LV Networks with High PV Penetration

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