Releasing more capacity for EV integration by DC medium voltage distribution lines

Zhang, Lu; Chen, Ying; Shen, Chen; Tang, Wei; Liang, Jun

doi:10.1049/iet-pel.2017.0172

Cited by 9 publications

(3 citation statements)

References 34 publications

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“…Connecting two feeders and operating the AC network as a meshed grid, can reduce the lines loading and improve the voltage profile, thereby, enhancing the HC [28]. However, the AC distribution network operates radially and the creation of a mesh in it leads to destructive circulating currents [29]. One solution is to use the concept of hybrid AC/DC distribution networks and connect the two parts of the network by VSCs.…”

Section: Literature Reviewmentioning

confidence: 99%

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Combined PV-Wind Hosting Capacity Enhancement of a Hybrid AC/DC Distribution Network Using Reactive Control of Convertors and Demand Flexibility

et al. 2022

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The integration of Renewable Energy Sources (RESs) into distribution networks has increased in recent years due to numerous advantages. However, the RESs are intermittent and uncertain therefore may cause various limitations such as high lines loading and large voltage deviations, especially during high generation and low demand periods. Thus, this leads to an upper limit for the integrated capacity of RESs into the network, entitled Hosting Capacity (HC). In this paper, the complementarity of wind-PV along with the Demand Flexibility Program (DFP) are utilized for alleviating the limitations and increasing the HC in a hybrid AC/DC network. Moreover, an important feature of the AC/DC network, i.e., reactive control of Voltage Source Converters (VSCs) is investigated for increasing the HC. Additionally, a tradeoff is made between two conflicting objectives, i.e., HC and energy losses, which will be increased due to an excessive increase of the HC. Generally speaking, the paper proposes a multi-objective, multi-source, and multi-period extended optimal linear power flow model for simultaneously increasing the HC and decreasing the energy losses, utilizing stochastic programming for managing uncertainties. The simulation results show the accuracy and efficiency of the proposed formulation from various perspectives.

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Section: Literature Reviewmentioning

confidence: 99%

“…(1) The typical power flow equations in AC and DC distribution networks that are illustrated in ( 9), (10), and (29), are nonlinear and non-convex. Reasonably, utilizing these power flow terms in the optimization problems is difficult.…”

Section: Linearizationmentioning

confidence: 99%

Combined PV-Wind Hosting Capacity Enhancement of a Hybrid AC/DC Distribution Network Using Reactive Control of Convertors and Demand Flexibility

et al. 2022

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“…(4) (5) Step 4: Identify the best hunt agent , the second best hunt agent and third best hunt agent by using equation (6) to (11), (6) (7) (8) (9) (10)…”

Section: Gwo Algorithm Executionmentioning

confidence: 99%

Forecast of Corona Losses using Grey Wolves on Variant Load Condition

Sharma*,

Mohan,

Sharma

2020

IJRTE

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Depending upon material science law and guidelines, the factors of overhead lines in network, electric and meteorological data recorded the essential relationships with the corona losses and the states of climate are normally spotted. Corona losses occurred to be characterized just by weighting components for particular states of climate of average twelve Bulgarian territories showing components of complete transmission lattice. A determining unit imply on a measurable procedure worried on an hourly premise corona shortfall is inspected and proposed to have the option to decrease the lopsided characteristics costs. This casing work includes a proposed model of learning for limiting the corona losses. The deficiencies of suggested approach lessen in each situation since it speaks to an effective learning adaptation and at the hour of testing it productively figure heat/temperature giving an extraordinary effect to fundamentally losses decrease. The fundamental purpose for the improvement of learning approach is that the learning approach sums up the information however expectation approach utilizes dynamic choice and disregards past information execution.

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Enhancing electric vehicle penetration and grid operation performance in old residential communities through hybrid AC/DC microgrid reconstruction

Lei

Niu

et al. 2023

Applied Energy

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Releasing more capacity for EV integration by DC medium voltage distribution lines

Cited by 9 publications

References 34 publications

Combined PV-Wind Hosting Capacity Enhancement of a Hybrid AC/DC Distribution Network Using Reactive Control of Convertors and Demand Flexibility

Combined PV-Wind Hosting Capacity Enhancement of a Hybrid AC/DC Distribution Network Using Reactive Control of Convertors and Demand Flexibility

Forecast of Corona Losses using Grey Wolves on Variant Load Condition

Enhancing electric vehicle penetration and grid operation performance in old residential communities through hybrid AC/DC microgrid reconstruction

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