Distributed energy resources on distribution networks: A systematic review of modelling, simulation, metrics, and impacts

Caballero-Peña, Juan; Cadena-Zarate, Cristian; Parrado-Duque, Alejandro; Osma-Pinto, Germán

doi:10.1016/j.ijepes.2021.107900

Cited by 41 publications

(7 citation statements)

References 157 publications

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“…Therefore, the voltage magnitude at house 53 for all phases is recorded. Many studies showed that the high penetration of DERs on LVDNs could increase the deviations in voltage [39]. Therefore, evaluating the voltage deviation the CET context is important.…”

Section: Voltage Magnitudes At Different Phasesmentioning

confidence: 99%

Mitigating the Impacts of Community Energy Trading on Distribution Networks by Considering Contracted Power Network Charges

Nour,

Chaves-Ávila,

Troncia

et al. 2024

IEEE Access

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Driven by environmental and economic motives, different distributed energy resources (DERs) are being installed at a fast pace. The high penetration levels of DERs could result in technical issues at low voltage distribution networks (LVDNs) and lead to complex power system management. Therefore, many approaches were proposed in the literature to manage DERs to maximize their economic benefits while respecting the LVDNs' limits. One of the new approaches for managing DERs is community energy trading (CET). CET allows end users to exchange energy with each other besides energy exchange with retailers. Recent studies showed that CET could result in violations of the LVDNs limits if the grid constraints are not considered in the optimization model. These violations mainly happen due to the synchronized charging of electric vehicles and battery energy storage (i.e., flexible devices) connected to the LVDNs, which could require an infrastructure upgrade at LVDN. This paper proposes including contracted power cost in the CET objective function for energy cost minimization besides the energy cost to mitigate the impacts on LVDN. The proposed approach does not require the consideration of grid constraints in the CET model or interaction with the distribution system operator. The results showed that the proposed approach reduced the peak demand of the energy community (EC) by 34.3% without affecting its economic performance. Moreover, the proposed approach prevents violations of unbalanced LVDN limits in line loading, voltage unbalance, and voltage magnitude that occur in the CET scenario that does not consider contracted power cost. INDEX TERMSLocal electricity market, peer to peer energy trading, energy community trading, energy community, transactive energy, grid tariff, network tariff, demand charges, distributed energy resources.

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Section: Voltage Magnitudes At Different Phasesmentioning

confidence: 99%

Mitigating the Impacts of Community Energy Trading on Distribution Networks by Considering Contracted Power Network Charges

Nour,

Chaves-Ávila,

Troncia

et al. 2024

IEEE Access

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“…As explained in the introduction, Colombia is in the process of entering photovoltaic solar systems into its energy matrix. However, the electrical power of these systems and their accuracy depends on a variable primary resource in a country with 5 thermal floors and temperatures from zero degrees to 40 ºC and the geolocation of the installation of Photovoltaic Solar Generation Units [6], [26].…”

Section: Database Input In the Development Of The Modelmentioning

confidence: 99%

Machine Learning Model for Primary Solar Resource Assessment in Colombia

Obando Paredes

2023

TecnoL.

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This work introduces a Machine Learning (ML) model designed to predict solar radiation in diverse cities representing Colombia's climatic variability. It is crucial to assert that the amount of solar energy received in a specific region is directly related to solar radiation and its availability, which is influenced by each area's particular climatic and geographic conditions. Due to the high variability and resulting uncertainty, various approaches have been explored, including the use of numerical models to estimate solar radiation. The primary objective of this study was to develop and validate an ML model that accurately predicts solar radiation in cities. The methodology employed was specific to data treatment and ML model development. It was structured into three fundamental stages: clustering, estimation, and response, considering that the model is based on historical data. The obtained results were assessed using appropriate statistical definitions, not only determining the model's efficiency in terms of prediction but also considering interactions between data for the approximation and prediction of solar radiation. In this context, it is crucial to emphasize that the research contributes to understanding solar radiation in Colombia. This study underscores the importance of developing ML models to predict solar radiation, emphasizing the need to consider the country's climatic diversity. The results obtained, following the model's application, provide valuable information for comprehending and anticipating the availability of this primary resource.

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“…Voltage quality represents one of the aspects of distribution networks (DNs) operation that is more affected by the presence of a large number of DERs [14]; DSOs must provide a reliable and stable power supply voltage for the proper functioning of all electrical appliances, allow a reliable operation of generating units [15], and prevent damage to the network infrastructure. For this reason, voltage regulation plays a key role in ensuring that the voltage profiles remain within acceptable limits: according to the technical standard EN 50160 [16], the supply voltage on MV and LV DNs in normal conditions needs to be within ±10% with respect to the reference voltage level.…”

Section: Introductionmentioning

confidence: 99%

Decentralised Voltage Regulation through Optimal Reactive Power Flow in Distribution Networks with Dispersed Generation

Daccò,

Falabretti,

Ilea

et al. 2024

Electricity

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The global capacity for renewable electricity generation has surged, with distributed photovoltaic generation being the primary driver. The increasing penetration of non-programmable renewable Distributed Energy Resources (DERs) presents challenges for properly managing distribution networks, requiring advanced voltage regulation techniques. This paper proposes an innovative decentralised voltage strategy that considers DERs, particularly inverter-based ones, as autonomous regulators in compliance with the state-of-the-art European technical standards and grid codes. The proposed method uses an optimal reactive power flow that minimises voltage deviations along all the medium voltage nodes; to check the algorithm’s performance, it has been applied to a small-scale test network and on a real Italian medium-voltage distribution network, and compared with a fully centralised ORPF. The results show that the proposed decentralised autonomous strategy effectively improves voltage profiles in both case studies, reducing voltage deviation by a few percentage points; these results are further confirmed through an analysis conducted over several days to observe how seasons affect the results.

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Distributed energy resources on distribution networks: A systematic review of modelling, simulation, metrics, and impacts

Cited by 41 publications

References 157 publications

Mitigating the Impacts of Community Energy Trading on Distribution Networks by Considering Contracted Power Network Charges

Mitigating the Impacts of Community Energy Trading on Distribution Networks by Considering Contracted Power Network Charges

Machine Learning Model for Primary Solar Resource Assessment in Colombia

Decentralised Voltage Regulation through Optimal Reactive Power Flow in Distribution Networks with Dispersed Generation

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