Modeling and simulation of active electrical distribution systems using the OpenDSS

Ribeiro, Luiz Carlos; Vieira, Francinei L.; Bonatto, Benedito Donizeti; Souza, Antônio Carlos Zambroni de; Ribeiro, Paulo F.

doi:10.1016/b978-0-12-816445-7.00005-0

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…(7) [27]. Based on the yearly power consumption of customers, the demand daily profile of each load is calculated using the Matlab code.…”

Section: Load and Generation Modelling Using Opendssmentioning

confidence: 99%

Distributed Generation Allocation in Distribution Network for Energy Losses Reduction

Melić,

Hanjalić,

Šarić

et al. 2023

B&H Electrical Engineering

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This paper presents a method for distributed generation (DG) allocation in medium voltage (MV) distribution system based on energy loss minimization. The main objective of the research is to design, implement and test a DG allocation (siting and sizing) method and to investigate how optimal DG allocation influence the operational parameters of the system from the Distribution System Operator (DSO) perspective. The problem is formulated as a single objective optimization problem solved by using both genetic algorithm and particle swarm optimization techniques. Model of a realistic Electric Power Distribution System (EPDS) and IEEE 37-bus EPDS are used as test systems. The results confirm that proposed algorithms can be used for practical DG allocation. The research presented contributes to the field as it provides a DG allocation method for energy loss reduction performed on a EPDS which can be applied in realistic planning and regulatory situations using open-source software.

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“…(7) [27]. Based on the yearly power consumption of customers, the demand daily profile of each load is calculated using the Matlab code.…”

Section: Load and Generation Modelling Using Opendssmentioning

confidence: 99%

Distributed Generation Allocation in Distribution Network for Energy Losses Reduction

Melić,

Hanjalić,

Šarić

et al. 2023

B&H Electrical Engineering

View full text Add to dashboard Cite

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Impact analysis on distribution network due to coordinated electric ferry charging

Roy,

Alahakoon,

Rensburg

et al. 2024

IET Energy Syst Integration

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The maritime industry is a significant emitter of greenhouse gases in marine ecosystems, prompting a global shift towards renewable‐powered electric vessels, where energy storage is pivotal. The authors examine the potential ramifications of coordinating the charging of Electric Ferries (EFs) on local distribution networks, with Gladstone Marina in Queensland, Australia, serving as a case study. Employing OpenDSS software for power flow analysis, the authors utilise actual load data and simulate a network with four Battery Energy Storage Systems (BESSs) representing proposed charging stations. The authors discuss the impact on bus voltage, load current, and power flow by integrating a storage controller to optimise BESS charging and discharging dynamics. The Dynamic Link Library (DLL) of MATLAB Simulink‐based BESS's dynamic model is linked with OpenDSS environment to replicate the actual electric ferry storage. Additionally, a user‐written DLL in Python regulates BESS charging and discharging by the storage controller according to load demand and BESS State of Charge for ensuring efficient operation within the network. The power flow results without inclusion of BESSs to the network, referred to as the base case, are used for relative comparison with the results in the coordinated mode. The power flow analysis suggests that bus voltages rise by approximately 1%–1.5%, while load current consumption decreases by around 2%–2.5% compared to the base case with variable load. Selected lines and transformers maintain consistent power flows. Notably, a reduction in total power consumption and losses is observed, particularly under an 80% load demand increase. These findings indicate that the coordinated mode with a storage controller effectively manages BESS charging and discharging according to demand. Moreover, the storage controller ensures system parameters remain within permissible limits. The support of real and reactive power by BESSs during peak hours validates their role as peak shavers for the test network, suggesting that EFs can operate in either Grid to Ferry mode during charging and Ferry to Grid mode during discharging.

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Allocation and Sizing of Distributed Generators in Distribution System Using Multi-Objective Optimization

Dos Santos Júnior,

Santos Freire Ferraz,

Rueda-Medina

2023

2023 15th Seminar on Power Electronics and Control (SEPOC)

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Modeling and simulation of active electrical distribution systems using the OpenDSS

Cited by 5 publications

References 14 publications

Distributed Generation Allocation in Distribution Network for Energy Losses Reduction

Distributed Generation Allocation in Distribution Network for Energy Losses Reduction

Impact analysis on distribution network due to coordinated electric ferry charging

Allocation and Sizing of Distributed Generators in Distribution System Using Multi-Objective Optimization

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