Impacts of residential solar photovoltaic systems on voltage unbalance and network losses

Zolkifri, Nur Izzati; Gan, Chin Kim; Khamis, Aziah; Baharin, Kyairul Azmi; Lada, Musa Yusup

doi:10.1109/tencon.2017.8228216

Cited by 14 publications

(9 citation statements)

References 6 publications

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“…Unbalanced Regime [8,10,12,13,17,18,23] Loss estimation using loss factor and load profile No No [9] Loss estimation using Elgerd's power loss formulas No No [11,19,20] Joule Loss estimation No No [14,24] Loss estimation using load factor No Yes [15,16] Loss estimation using scaling factor for load profile No No [21,22,24] Loss estimation based peak load duration No No [25][26][27][28] Loss estimation using the backward/forward method No No [28,29] Loss estimation with losses factor, load factor and load profile No Yes A comparison with the results obtained using the DigSilent PowerFactory (DSPF) simulation package certified the accuracy of algorithm. Even if the DSPF package is one of the most powerful packages in processes simulations from the generation, transmission, and distribution levels, it presents some disadvantages.…”

Section: Objective Function Online Estimationmentioning

confidence: 99%

“…A scaling factor was used in References [14-16] for the characteristic load profiles, with attached pseudo measurements performed in the balanced LV networks with distributed generation sources in order to estimate power losses. In Reference [17,18], the loss factor and the load profile were used to calculate the power losses. The drawback of this method is represented by the estimation of two constant coefficients, A and B, for the homogeneous loads or the load profiles.…”

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confidence: 99%

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Smart Meter Data-Based Three-Stage Algorithm to Calculate Power and Energy Losses in Low Voltage Distribution Networks

Grigoraș

Neagu

2019

Energies

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In this paper, an improved smart meter data-based three-stage algorithm to calculate the power/energy losses in three-phase networks with the voltage level below 0.4 kV (low voltage-LV) is presented. In the first stage, the input data regarding the hourly active and reactive powers of the consumers and producers are introduced. The powers are loaded from the database of the smart metering system (SMS) for the consumers and producers integrated in this system or files containing the characteristic load profiles established by the Distribution Network Operator for the consumers, which have installed the conventional meters non-integrated in the SMS. In the second stage, a function, which is based on the work with the structure vectors, was implemented to easily identify the configuration of analysed networks. In the third stage, an improved version of a forward/backward sweep-based algorithm was proposed to quickly calculate the power/energy losses to three-phase LV distribution networks in a balanced and unbalanced regime. A real LV rural distribution network from a pilot zone belonging to a Distribution Network Operator from Romania was used to confirm the accuracy of the proposed algorithm. The comparison with the results obtained using the DigSilent PowerFactory Simulation Package certified the performance of the algorithm, with the mean absolute percentage error (MAPE) being 0.94%.Energies 2019, 12, 3008 2 of 27 with the help of information provided by smart meters from consumers and producers for improving the energy efficiency in LV distribution networks. The benefits of smart meters consist of the fact that, in addition to the metering function, they also provide a whole range of applications such as the following [6,7]:• Secure transmission of data to the consumers, the DNOs, or another operator (for example Metering Operator); • Bidirectional communication between the smart meters installed at consumer/producers and the data concentrators (information management points) belonging to the DNO; • Remote controlled connection/disconnection from the network or demand limitation at the consumers; • Implementing differentiated time-of-use tariffs.In these circumstances, the DNOs can obtain accurate online information regarding the energy consumptions and productions from the renewable sources, which allows them to calculate the energy losses and then to take some technical measures which will enable the low voltage networks to operate more energy efficiently and better plan their investments. For LV electrical networks, the information needed to calculate the power and energy losses is easily obtained if consumers are integrated into the SMS. In this context, the DNOs should use accurate methods and take into account all components (lines and transformers) in order to have a correct evaluation regarding the efficiency of their own LV distribution networks. Thus, an accurate analysis of the steady-state regimes corresponding the LV distribution network can be made through real-time monitoring using the smart mete...

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Section: Objective Function Online Estimationmentioning

confidence: 99%

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confidence: 99%

Smart Meter Data-Based Three-Stage Algorithm to Calculate Power and Energy Losses in Low Voltage Distribution Networks

Grigoraș

Neagu

2019

Energies

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“…La ubicación y la conexión de los SFV varían de manera aleatoria, los valores de demanda se definen previamente a partir de un promedio de consumo de los usuarios y las capacidades instaladas de generación son establecidas de acuerdo con valores típicos de SFV [11]. En otros casos, los escenarios de conexión y desbalance se estudian de manera desagregada [12] y las simulaciones de flujo de carga son llevadas a cabo únicamente ante esos escenarios o variaciones.…”

Section: Introductionunclassified

Análisis de la operación en estado estable de una red eléctrica de baja tensión con inyección de potencia de sistemas fotovoltaicos

Caballero-Peña¹,

Cadena-Zarate²,

Osma-Pinto³

2020

revuin

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Este trabajo presenta el estudio de una red eléctrica de baja tensión en estado estable con inyección de potencia de sistemas fotovoltaicos (SFV), con el propósito de cuantificar el impacto a partir de indicadores asociados al valor eficaz, perfil de tensión, desbalance, pérdidas en los conductores y sentido de flujos de potencia. La red modelada fue estudiada para cinco escenarios de ubicación de SFV y diez porcentajes de inyección de potencia FV (1%, 3%, 5%, 10%, 15%, 20%, 25%, 50%, 75% y 100% de la capacidad nominal del transformador). Se realizó un análisis cuasi dinámico con pasos de una hora durante un año. Los resultados indican que el impacto producido en los parámetros eléctricos analizados depende del lugar y de la capacidad instalada de los autogeneradores FV; los porcentajes de inyección superiores al 50% son desfavorables para esta red en los cinco escenarios

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“…A scaling factor was used in [14][15][16] for the characteristic load profiles with attached pseudo measurements performed in the balanced LV grids with distributed generation sources to estimate the power losses. In [17,18], the power losses computation used the loss factor and the load profile. The drawback of this method are the estimation of the two coefficients A and B as constants for given homogeneous loads or load profile.…”

Section: Introductionmentioning

confidence: 99%

Smart Meter Data-based Three-Stage Algorithm to Calculate Power and Energy Losses in Low Voltage Distribution Networks

Grigoraș¹,

Neagu²

2019

Preprint

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In the paper, an improved smart meter data-based three-stage algorithm to calculate the power/energy losses in the three-phase networks with the voltage level below 0.4 kV (low voltage - LV) is presented. In the first stage, a loading function of input data was built having as main feature the working at the same time with files from the database of smart metering system (SMS) containing the hourly electricity records, and files including the characteristic load profiles established by the Distribution Network Operator (DNO) for the consumers with standard energy meters depending the following factors: consumption class, day and season. In the second stage, a function which is based on the work with the structure vectors was implemented to identify easy the configuration of analysed networks. In the third stage, an improved version of forward/backward sweep-based algorithm was proposed to calculate fast the power/energy losses to three-phase LV distribution networks in balanced and unbalanced regime. A real LV rural distribution network from a pilot zone belonging to a Distribution Network Operator (DNO) from Romania was used to confirm the accuracy of the proposed approach. The comparison with the results obtained using the DigSilent PowerFactory Simulation Package certified the performance of the algorithm, the mean absolute percentage error (MAPE) being 0.94%.

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Impacts of residential solar photovoltaic systems on voltage unbalance and network losses

Cited by 14 publications

References 6 publications

Smart Meter Data-Based Three-Stage Algorithm to Calculate Power and Energy Losses in Low Voltage Distribution Networks

Smart Meter Data-Based Three-Stage Algorithm to Calculate Power and Energy Losses in Low Voltage Distribution Networks

Análisis de la operación en estado estable de una red eléctrica de baja tensión con inyección de potencia de sistemas fotovoltaicos

Smart Meter Data-based Three-Stage Algorithm to Calculate Power and Energy Losses in Low Voltage Distribution Networks

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