Ultimate limits to the fully decentralized power inverter control in distribution grids

Carvalho, Pedro; Ferreira, L.A.F.M.; Botas, Joao C.; Ilić, Marija; Miao, Xiangshui; Bachovchin, Kevin

doi:10.1109/pscc.2016.7540893

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…Souza et al [150] compared three-phase droop and per-phase droop for the performance and stresses on the need to have proper damping in the control. The limits to the fully decentralised droop control methods are discussed in [151]. Hierarchical control, which decomposes the traditional centralized controller into several local secondary controllers, is proposed in [152] while a four-leg inverter interface for the standalone system is suggested for better unbalance mitigation in [153] and is used as a shunt-connected compensator in [154].…”

Section: Fig 4 Block Diagram Of a Typical Control Scheme For Addressmentioning

confidence: 99%

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Unbalance mitigation strategies in microgrids

Vijay

Doolla

Chandorkar

2020

IET Power Electronics

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Unbalance or asymmetry in the distribution network is a well-known power quality issue. In the modern active distribution system, with the increasing penetration of renewables, this phenomenon becomes more pronounced. In the context of microgrids (MGs), several works have been proposed for the management and mitigation of the unbalance, for both the sharing of unbalanced load and maintaining the voltage quality in the islanded mode and for the control of distributed generators in the grid-connected mode during unbalanced conditions. This study comprehensively reviews, summarises, and classifies the various strategies of the unbalance mitigation techniques for the islanded and grid-connected modes of operation for threephase MGs and presents the possible challenges and avenues for future investigations on the topic.

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Section: Fig 4 Block Diagram Of a Typical Control Scheme For Addressmentioning

confidence: 99%

“…The objective of the unbalance compensation or mitigation depends upon the conditions of the MG and the operating mode (islanded or grid‐connected). Unbalance mitigation in islanded MGs [18, 21, 22, 23, 25, 27–32, …”

Section: Unbalance Mitigation In the Islanded Modementioning

confidence: 99%

Unbalance mitigation strategies in microgrids

Vijay

Doolla

Chandorkar

2020

IET Power Electronics

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“…This can put a hard limit on the feasible capacity of operational DERs in distribution grids, reduce the economic value of renewable resources for customers, and cause loss of service in stand-alone systems [2], [3]. The possibility of DER power generation disruption due to voltage-related vulnerabilities in unbalanced distribution grids has been discussed in the literature: in [4], [5], risk of cascading tripping of DERs, with ON/OFF current interruption mechanism was demonstrated numerically in a distribution grid test case for the first time. It was shown that the unbalanced and resistive nature of networks can further exacerbate this problem by causing positive inter-phase voltage sensitivity terms.…”

Section: Introductionmentioning

confidence: 99%

Statistical Modeling of Networked Solar Resources for Assessing and Mitigating Risk of Interdependent Inverter Tripping Events in Distribution Grids

Dehghanpour,

Yuan,

et al. 2019

Preprint

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It is speculated that higher penetration of inverterbased distributed energy resources (DERs) can increase the risk of cascading tripping events due to voltage fluctuations. Quantifying this risk requires solving the dynamic state transition equations of tripping events for interconnected DERs. However, these equations lead to a complex non-equilibrium system, which does not settle into stationary steady state conditions due to the volatility of DERs/loads. Thus, tripping dynamic equations do not have an asymptotic solution, which implies that the non-equilibrium dynamic model cannot be used as a tractable basis for DER curtailment prediction and mitigation. To address this challenge, we apply a probabilistic approach, which employs Chebyshev's inequality to obtain an alternative timeinvariant dynamic state transition model for quantifying the risk of tripping for networked DERs. Unlike the original nonequilibrium system, the proposed probabilistic dynamic model is stationary, which enables operators to estimate the expected DER curtailment events asymptotically using DER/load statistics. Furthermore, by integrating this probabilistic state transition model into an optimization framework, countermeasures are designed to mitigate cascading tripping events. Since the proposed model is parameterized using only the statistical characteristics of nodal active/reactive powers, it is especially beneficial for practical systems, which usually are not fully observable in realtime. Numerical experiments have been performed employing real data and feeder models to verify the performance of the proposed technique.

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Modeling and Distributed Control of Microgrids: A Negative Feedback Approach

Miao

Ilić

2019

2019 IEEE 58th Conference on Decision and Control (CDC)

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Ultimate limits to the fully decentralized power inverter control in distribution grids

Cited by 6 publications

References 14 publications

Unbalance mitigation strategies in microgrids

Unbalance mitigation strategies in microgrids

Statistical Modeling of Networked Solar Resources for Assessing and Mitigating Risk of Interdependent Inverter Tripping Events in Distribution Grids

Modeling and Distributed Control of Microgrids: A Negative Feedback Approach

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