Hosting Capacity Improvement Using Reactive Power Control Strategy of Rooftop PV Inverters

Atmaja, Wijaya Yudha; Sarjiya, Sarjiya; Lesnanto, M. P.; Pramono, Eko Yudo

doi:10.1109/sege.2019.8859888

Cited by 18 publications

(16 citation statements)

References 7 publications

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“…1% of transformer capacity) is allocated at a bus n, and it is increased in steps until it violates the defined conditions as given in Eqs. (2)(3)(4)(5)(6)(7). In this paper, the network behavior is analyzed for the entire day (24 h) and mainly covers two circumstances: (i) voltage rise problems due to low load demand (1) and high PV generation, and (ii) loading problems due to high demand and high generation.…”

Section: Methodology For Estimating Pv Hosting Capacitymentioning

confidence: 99%

“…In Navarro and Navarro [2], the PV hosting capacity within an electrical distribution network was analyzed at different buses considering only the rated PV capacity, but PV output and simultaneous load profile at a particular node was not considered. An approach for enhancing PV HC based on a reactive power control strategy was presented by Atmaja et al [3], but it did not include load flow analysis with simultaneous penetration of PV capacity at different nodes. A probabilistic approach-based method for PV HC was presented by Niederhuemer and Schwalbe [4] considering the worst-case scenario (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…The reliability of the stand-alone system was validated with applied algorithms and effectiveness, but the suitability of the design system was not tested with the grid [8]. Most of the reviewed literatures [3][4][5][6][7][8] have not covered a comparative assessment of hosting capacity considering various operational constraints. Therefore, it is essential to analyze PV HC within the distribution network at different nodes with simultaneous PV and load profiles.…”

Section: Introductionmentioning

confidence: 99%

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Solar photovoltaic-based microgrid hosting capacity evaluation in electrical energy distribution network with voltage quality analysis

et al. 2021

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In this paper, solar photovoltaic hosting capacity within the electrical distribution network is estimated for different buses, and the impacts of high PV penetration are evaluated using power hardware-in-loop testing methods. It is observed that the considered operational constraints (i.e. voltage and loadings) and their operational limits have a significant impact on the hosting capacity results. However, with increasing photovoltaic penetration, some of the network buses reach maximum hosting capacity, which affects the network operation (e.g. bus voltages, line loading). The results show that even distributing the maximum hosting capacity among different buses can increase the bus voltage rise to 9%. To maintain the network bus voltages within acceptable limits, reactive power voltage-based droop control is implemented in the photovoltaic conditioning devices to test the dynamics of the network operation. The results show that implementation of the droop control technique can reduce the maximum voltage rise from 9% to 4% in the considered case. This paper also presents the impact of forming a mesh type network (i.e. from radial network) on the voltage profile during PV penetration, and a comparative analysis of the operational performance of a mesh type and radial type electrical network is performed. It is observed that the cumulative effect of forming a mesh type network along with a droop control strategy can further improve the voltage profile and contribute to increase photovoltaic penetration. The results are verified using an experimental setup of digital real-time simulator and power hardware-in-loop test methods. The results from this work will be useful for estimating the appropriate photovoltaic hosting capacity within a distribution network and implementation of a droop control strategy in power conditioning devices to maintain the network operational parameters within the specified limits. Highlights Voltage and line loading constraints’ combination can reduce PV hosting capacity by 50% as compared to only voltage as a constraint. Implementation of reactive power versus voltage droop control in PV power conditioning device can reduce voltage variation from 9% to 4%. In a PV integrated electrical energy network, line loading can be reduced by 20% if the network is configured from radial to mesh type.

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Section: Methodology For Estimating Pv Hosting Capacitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Solar photovoltaic-based microgrid hosting capacity evaluation in electrical energy distribution network with voltage quality analysis

et al. 2021

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“…The idea behind setting the grid violations to be under 5% corresponds to the power quality requirements of supply voltage variations and supply voltage unbalance to be within 95% confidence limit as per the Standard EN 50160. This MC algorithm is a modified version of the method presented in [15] to calculate the HC w.r.t customers' PVs by incrementing the customers equipped with PVs until the grid violations are detected, as shown in Figure 2b. Steps 2-5 of the main algorithm in Figure 2a are modified such that the customers with the PVs are incremented in steps of 1 until the grid observes 5% of violations [2].…”

mentioning

confidence: 99%

“…The load types and hence load values for one year were randomly sampled and the worst-case hours were estimated for a total of 1000 iterations to ensure the sufficient accuracy of HC results. This MC algorithm is a modified version of the method presented in [15] to calculate the HC w.r.t customers' PVs by incrementing the customers equipped with PVs until the grid violations are detected, as shown in Figure 2b. Steps 2-5 of the main algorithm in Figure 2a are modified such that the customers with the PVs are incremented in steps of…”

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confidence: 99%

Comparison of Different References When Assessing PV HC in Distribution Networks

2021

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The burgeoning photovoltaics’ (PVs) penetration in the low voltage distribution networks can cause operational bottlenecks if the PV integration exceeds the threshold known as hosting capacity (HC). There has been no common consensus on defining HC, and its numerical value varies depending on the reference used. Therefore, this article compared the HC values of three types of networks in rural, suburban, and urban regions for different HC reference definitions. The comparison was made under balanced and unbalanced PV deployment scenarios and also for two different network loading conditions. A Monte Carlo (MC) simulation approach was utilized to consider the intermittency of PV power and varying loading conditions. The stochastic analysis of the networks was implemented by carrying out a large number of simulation scenarios, which led towards the determination of the maximum amount of PV generation in each network case.

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Hosting capacity in distribution grids: A review of definitions, performance indices, determination methodologies, and enhancement techniques

Qamar

Arshad

Mahmoud

et al. 2023

Energy Science & Engineering

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For the past few years, the world has seen a great shift toward renewable energy resources from conventional ones. But the ever‐increasing integration of distributed generation (DG) to the electrical network leads to integration limiting constraints like overvoltage, under voltage, harmonics, equipment ampacity violations, and failure of protection schemes. Therefore, an extensive investigation of the methodologies in which DGs can be incorporated into the electrical network is presented in this manuscript. This article provides an extensive review of all the hosting capacity (HC) terms, references, limiting constraints of the studied networks, geographical segregation, and their determination methodologies. Moreover, the factors defining the HCs of various networks and the architectures employed to increase them, are also explained briefly in the conducted review study.

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Hosting Capacity Improvement Using Reactive Power Control Strategy of Rooftop PV Inverters

Cited by 18 publications

References 7 publications

Solar photovoltaic-based microgrid hosting capacity evaluation in electrical energy distribution network with voltage quality analysis

Solar photovoltaic-based microgrid hosting capacity evaluation in electrical energy distribution network with voltage quality analysis

Comparison of Different References When Assessing PV HC in Distribution Networks

Hosting capacity in distribution grids: A review of definitions, performance indices, determination methodologies, and enhancement techniques

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