Optimal Planning of Distributed Generation and Loads in Active Distribution Network:A Review

Wang, Shichuan; Sun, Yuanyuan; Li, Yahui; Li, Kejun; An, Peng; Yu, Guangyuan

doi:10.1109/icgea49367.2020.239702

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…Electrical distribution networks had been designed under the AC paradigm for decades [10,11]; however, presently multiple reports can be found where distribution networks are analyzed under the DC paradigm, some of them are recompiled below.…”

Section: Brief Literature Surveymentioning

confidence: 99%

“…Please note that the behavior of the a−phase current depicted in Figure 3 demonstrates that if the voltage profile is supported at the load terminals via passivity-based control as defined in (11), then, the active and reactive power required by the load is guaranteed. This implies that the power electronic interface presented in Figure 2 can be used to interface three-phase loads to DC distribution networks with local reactive power support (i.e., unity power factor operation).…”

Section: Generation Reactive Power In DC Grids With Voltage Source Converter Interfacesmentioning

confidence: 99%

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On the Efficiency in Electrical Networks with AC and DC Operation Technologies: A Comparative Study at the Distribution Stage

2020

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This research deals with the efficiency comparison between AC and DC distribution networks that can provide electricity to rural and urban areas from the point of view of grid energy losses and greenhouse gas emissions impact. Configurations for medium- and low-voltage networks are analyzed via optimal power flow analysis by adding voltage regulation and devices capabilities sources in the mathematical formulation. Renewable energy resources such as wind and photovoltaic are considered using typical daily generation curves. Batteries are formulated with a linear representation taking into account operative bounds suggested by manufacturers. Numerical results in two electrical networks with 0.24 kV and 12.66 kV (with radial and meshed configurations) are performed with constant power loads at all the nodes. These simulations confirm that power distribution with DC technology is more efficient regarding energy losses, voltage profiles and greenhouse emissions than its AC counterpart. All the numerical results are tested in the General Algebraic Modeling System widely known as GAMS.

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Section: Brief Literature Surveymentioning

confidence: 99%

Section: Generation Reactive Power In DC Grids With Voltage Source Converter Interfacesmentioning

confidence: 99%

On the Efficiency in Electrical Networks with AC and DC Operation Technologies: A Comparative Study at the Distribution Stage

2020

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“…As restrições mais comuns têm a ver com o limite térmico das linhas, o fator de potência do alimentador, tensões permissíveis nas barras, capacidade da GD, etc. [29].…”

Section: Alocação óTimaunclassified

Alocação ótima de unidades de geração distribuída fotovoltaica em redes elétricas.

Villar Yacila

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The insertion of distributed generation units in power grids is becoming an increasingly attractive alternative for electricity end users. This new scenario prepares utilities to meet these options, directly influencing the networks operation, control and planning under their concession areas.One of the multiple problems arising from distributed or decentralized generation is the proper allocation of distributed generators in electric grids. This research presents a new computational tool to address this issue that optimally and simultaneously allocates five photovoltaic distributed generation units in electric networks.'Optimal allocation' refers to the objective the proposed solution should achieve. In this case, this research aims to identify the buses of an electric distribution network where the injection of distributed electric power can minimize electrical losses.The proposed computational tool consists of an algorithm based on the metaheuristic optimization technique, Pattern Search, developed in MATLAB. The proposed algorithm connects with the Open Distribution System Simulator (OpenDSS) to run power flow and thus calculate the objective function (electrical losses).The author used a case study based on IEEE 123-Node Test Feeder to test the proposed solution performance. Loads in this network were modeled throughout the day using data from a São Paulo State concessionaire's field measurements, which the National Electric Energy Agency (ANEEL) makes available upon request. In addition, the author also included the solar radiance registered by São Paulo City weather stations.Results show the efficiency of the methodology developed in this research and indicate that applying it to different types of networks is possible.

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Bi-Level Planning for Distributed Power Supply Using the Improved Whale Optimization Algorithm

Wang,

2024

2024 IEEE 7th International Electrical and Energy Conference (CIEEC)

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Optimal Planning of Distributed Generation and Loads in Active Distribution Network:A Review

Cited by 3 publications

References 28 publications

On the Efficiency in Electrical Networks with AC and DC Operation Technologies: A Comparative Study at the Distribution Stage

On the Efficiency in Electrical Networks with AC and DC Operation Technologies: A Comparative Study at the Distribution Stage

Alocação ótima de unidades de geração distribuída fotovoltaica em redes elétricas.

Bi-Level Planning for Distributed Power Supply Using the Improved Whale Optimization Algorithm

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