Optimal Reconfiguration Strategy for Distribution Networks With Pv Connected Systems

Abdalla, Omar H.; Abdel-Salam, Gamal; Mostafa, Azza A. A.

doi:10.1049/icp.2021.2010

Cited by 3 publications

(2 citation statements)

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“…The option of integrating additional grid code requirements will then allow the testbed to be implemented for studies like that of Al Riyami et al (2016), simulating a 50 MW Dhofar network integrated wind farm to evaluate new RPP grid code requirements for the region. Studies such as that of Abdalla (2016Abdalla ( , 2018, in which technical requirements are reviewed for PV systems connected to Egypt's electrical network, can then also benefit from adopting such a testbed to perform grid-connected RPP behavioural studies, implementing the technical specifications it reviewed.…”

Section: Introductionmentioning

confidence: 99%

Development and validation of a real-time testbed for renewable energy integration studies: South African grid code case study

Joubert

Raji

2023

JEDT

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Purpose Despite South Africa’s ailing electrical grid, substantial renewable energy (RE) integration is planned for the country. As grid-integrated RE affects all grids differently, this study aims to develop an adaptable grid code-guided renewable power plant (RPP) control real-time simulation testbed, tailored to South African grid code requirements to study grid-integrated RE’s behaviour concerning South Africa’s unique conditions. Design/methodology/approach The testbed is designed using MATLAB’s Simulink and live script environments, to create an adaptable model where grid, RPP and RPP guiding grid codes are tailorable. This model is integrated with OPAL-RT’s RT-LAB and brought to real-time simulation using OPAL-RT’s OP4510 simulator. Voltage, frequency and short-circuit event case studies are performed through which the testbed’s abilities and performance are assessed. Findings Case study results show the following. The testbed accurately represents grid code voltage and frequency requirements. RPP point of connection (POC) conditions are consistently recognized and tracked, according to which the testbed then operates simulated RPPs, validating its design. Short-circuit event simulations show the simulated wind farm supports POC conditions relative to short-circuit intensity by curtailing active power in favour of reactive power, in line with local grid code requirements. Originality/value To the best of the authors’ knowledge, this is the first design of an adaptable grid code-guided RPP control testbed, tailored to South African grid code requirements in line with which RPP behavioural and grid integration studies can be performed.

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Section: Introductionmentioning

confidence: 99%

Development and validation of a real-time testbed for renewable energy integration studies: South African grid code case study

Joubert

Raji

2023

JEDT

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“…Abdalla et al [4] proposed a strategy for faulted cable identification using signals from smart meters and Earth fault indicators.…”

Section: Introductionmentioning

confidence: 99%

Optimal Number and Locations of Smart RMUs for Self-Healing Distribution Networks

Abdalla

Mostafa²

2022

International Transactions on Electrical Energy Systems

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Smart grids with self-healing (SH) capability provide an important intelligent feature to help in fast correction actions in case of network faults. SH architecture consists of modern communication systems, smart equipment, and intelligent sensors. With the high cost of SH components (especially smart ring main unit (SRMU)), optimization is required to achieve optimum performance with minimum cost. This study presents a proposed methodology to determine the optimum number and locations of SRMUs in electricity distribution networks considering various cost issues. The disconnection cost of on-grid photovoltaic (PV) plants is taken into consideration as an important factor in determining the locations of the SRMUs. The nonlinear programming (NLP) optimization technique is used to determine the required number of SRMUs, considering the cost/benefit analysis (cost of upgrading MRMUs to SRMUs/benefit due to interruption time reduction), which is the most important factor from DISCOs’ perspective. The mixed integer linear programming (MILP) optimization technique is employed for selecting the optimal locations of the SRMUs considering the cost of losses, energy not supplied (ENS), and PV disconnection, which improves network operation cost. The methodology takes into consideration the cable failure rate and the interest rate. Moreover, the study introduces the Egyptian electrical distribution network and a pilot project for control centre development using SRMUs. The methodology is applied to a modified IEEE 37-node test feeder and a part of a specific district network in South Cairo consisting of 158 nodes; both systems include a number of PV distributed generation plants. Simulation results are presented to show the effectiveness of the proposed method.

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Optimizing Self-Healing Distribution Networks with Smart RMUS

Nidhya,

Sharma,

Gupta

2023

2023 International Conference on Power Energy, Environment &Amp; Intelligent Control (PEEIC)

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Optimal Reconfiguration Strategy for Distribution Networks With Pv Connected Systems

Cited by 3 publications

References 0 publications

Development and validation of a real-time testbed for renewable energy integration studies: South African grid code case study

Development and validation of a real-time testbed for renewable energy integration studies: South African grid code case study

Optimal Number and Locations of Smart RMUs for Self-Healing Distribution Networks

Optimizing Self-Healing Distribution Networks with Smart RMUS

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