On a Future for Smart Inverters with Integrated System Functions

Xue, Yaosuo; Starke, Michael; Dong, Jin; Olama, Mohammed M.; Kuruganti, Teja; Taft, Jeffrey D.; Shankar, Mallikarjun

doi:10.1109/pedg.2018.8447750

Cited by 35 publications

(12 citation statements)

References 20 publications

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“…For protection applications, this fast response is beneficial to reduce the fault current magnitude and isolate the fault quickly. With advanced control algorithms in smart inverters [10], [11], power grids can be equipped with fast controlled resources in a decentralized manner. (6) Grid resilience.…”

Section: A Der Benefits and Valuesmentioning

confidence: 99%

“…For power grids, various grid-hardening approaches, distribution automations, and self-healing techniques have been utilized to improve grid resilience. Both DERs and microgrids play important roles during grid recovery or restoration following post-event, where power electronics-based DERs serve as fundamental resilience tools [11]. Currently, DERs are mostly installed at the distribution networks, but they are becoming major players in future deployment of grid planning and operation, with technology advances (e.g.…”

Section: A Der Benefits and Valuesmentioning

confidence: 99%

“…This rationale requires more intelligence and functions for smart inverters to be able to provide a wide range of grid services, alleviate system control and protection burden, and better integrate with overall grid operations. In [11], such smart inverters are defined to offer five integrated system functions, which are integrated system control functions (e.g. grid-forming and regulation capabilities), distributed system stabilization functions (e.g.…”

Section: B Smart Inverters With New Functionalitymentioning

confidence: 99%

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Review of Power System Support Functions for Inverter-Based Distributed Energy Resources- Standards, Control Algorithms, and Trends

Xue

Chang

2021

IEEE Open J. Power Electron.

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Penetration of renewable energy in power systems has been increasing in the past decades in response to increased global electricity demand and concerns for the environment. Distributed energy resources (DERs) based on renewables have experienced rapid growth thanks to the incentive programs and broad-based participation. With the growing prevalence of DERs, the risk of grid instability and vulnerability increases due to the intermittent nature of renewable energy. At the same time, the voltage and frequency deviation problems emerge more often when the reverse power flow occurs under supply-demand imbalance in distributed power systems. Standards and grid codes have been issued for DER inverters to interconnect with the distribution grid. The updated standard and grid codes expect DERs to provide a variety of power system support functions in order to incorporate higher DER penetration and to maximize DER value to the grid. This paper provides an overview of the power system support functions from renewable DER inverters, which are categorized as: voltage regulation by active/reactive power control, frequency regulation by active power control, voltage ride-through, and frequency ride-through. The benefits and drawbacks of each algorithm are presented and compared with its predecessor, manifesting the logic in the evolution of the algorithms.

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Section: A Der Benefits and Valuesmentioning

confidence: 99%

Section: A Der Benefits and Valuesmentioning

confidence: 99%

Section: B Smart Inverters With New Functionalitymentioning

confidence: 99%

See 1 more Smart Citation

Review of Power System Support Functions for Inverter-Based Distributed Energy Resources- Standards, Control Algorithms, and Trends

Xue

Chang

2021

IEEE Open J. Power Electron.

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“…In this work, the team focused on radial distribution systems under high-penetration solar PV scenarios in which smart PV inverters and load controllers provide system functions of coordinated voltage control and system loss optimization to a certain extent if not in a global sense, which is desired. This concept of "smart inverter with integrated system functions" was originally proposed in the team's previous work [126] and has not yet been fully investigated. The team wants to pursue this direction for the aforementioned reasons: scalable, modelfree, and minimal communication requirements.…”

Section: Design Of Dvc Secondary Control Strategymentioning

confidence: 99%

Dynamic Building Load Control to Facilitate High Penetration of Solar Photovoltaic Generation (Final Technical Report)

Kuruganti

Olama

Dong

et al. 2021

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“…Smart inverters enable flexible controls of PV systems to support the operation of the distribution grid [25, 26]. The model of PV system control is given as:

p_{i t}^{d g} \geq 0 \forall i \in D G, \forall t \in T

p_{i t}^{d g} \leq p_{i t}^{m a x} \forall i \in D G, \forall t \in T

{(p_{i t}^{d g})}^{2} + {(q_{i t}^{d g})}^{2} \leq {(S_{i}^{d g})}^{2} \forall i \in D G, \forall t \in T

\frac{- p_{i t}^{d g} \sqrt{1 - {(K_{i})}^{2}}}{K_{i}} \leq q_{i t}^{d g} \forall i \in D G, \forall t \in T

q_{i t}^{d g} \leq \frac{p_{i t}^{d g} \sqrt{1 - {(K_{i})}^{2}}}{K_{i}} \forall i \in D G, \forall t \in T

…”

Section: Mathematical Formulationmentioning

confidence: 99%

A data‐driven network optimisation approach to coordinated control of distributed photovoltaic systems and smart buildings in distribution systems

Bai

Xue

et al. 2021

IET Energy Syst Integration

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The increasing integration of distributed energy resources, including demand-side resources and distributed photovoltaics (PVs), into distribution systems has resulted in more complicated power system operation. A data-driven network optimisation approach is proposed to coordinate the control of distributed PVs and smart buildings in distribution networks considering the uncertainties of solar power, outdoor temperature and heat gain associated with building thermal dynamics. These uncertain parameters have a significant impact on the operation and control of distributed PVs and smart buildings, bringing challenges to the distribution system operation. In the proposed data-driven distributionally robust optimisation (DRO) approach, the Wasserstein ball is used to construct an ambiguity set for the uncertain parameters, which does not require the probability distributions to be known. Furthermore, a conditional value-at-risk is incorporated into the Wasserstein-based DRO model and converted into a computationally tractable mixed-integer convex optimisation problem. Benchmarked with robust optimisation and chance-constrained programming, the proposed data-driven model can give a less conservative robust solution.This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE

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On a Future for Smart Inverters with Integrated System Functions

Cited by 35 publications

References 20 publications

Review of Power System Support Functions for Inverter-Based Distributed Energy Resources- Standards, Control Algorithms, and Trends

Review of Power System Support Functions for Inverter-Based Distributed Energy Resources- Standards, Control Algorithms, and Trends

Dynamic Building Load Control to Facilitate High Penetration of Solar Photovoltaic Generation (Final Technical Report)

A data‐driven network optimisation approach to coordinated control of distributed photovoltaic systems and smart buildings in distribution systems

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