Chanda, “Optimal mix of solar and wind distributed generations considering performance improvement of electrical distribution network,” Renew. Djilali, “Integrating renewable energy using a smart distribution system: Potential of self-regulating demand response,” Renew. Bijwe, “Real time economic dispatch considering renewable energy resources,” Renew. Islam, “Risk constrained short-term scheduling with dynamic line ratings for increased penetration of wind power,” Renew. Xia, “Optimal dispatch for a microgrid incorporating renewables and demand response,” Renew. Rosero, "Evaluation of the Impact of Environmental Variables on Line Rating and Energy Dispatch", Energy Procedia, vol. Harrison, “Adapting overhead lines to climate change: Are dynamic ratings the answer?,” Energy Policy, vol. Soder, “Impact From Dynamic Line Rating on Wind Power Integration,” Smart Grid, IEEE Trans., vol. 1–72, 2013.ĬIGRE WG 22.12, “Thermal Behaviour of Overhead Conductors,” pp. “IEEE Standard for Calculating the Current-Temperature Relationship of Bare Overhead Conductors,” IEEE Std 738-2012 (Revision IEEE Std 738-2006 - Inc. Sharma, “Improving overhead transmission line usage efficiency on a caribbean island power system,” T&D Conference and Exposition, 2014 IEEE PES, pp. Bliss, “Systems and methods for calculating power transmission line capacity,” US 20140180616 A1, 2. Chisholm, “Key Considerations for the Selection of Dynamic Thermal Line Rating Systems,” Power Deliv. The results of this study conclude that it is feasible to incorporate PV generators into the nodes of the overloaded lines if the DLR model is used on these lines through the proposed methodology.Ĭopyright © 2018 Praise Worthy Prize - All rights reserved.Ĭ. The results showed the potential benefits and disadvantages of integrating new renewable generation sources and DLR as a solution to the current problems of constraints of transmission lines rating due to the power injection of these new sources. According to the results of the study case that considered DLR and PV, the cost due to generation decreased 6.14% per day, whereas active power losses decreased 7.12% per day in comparison with the results obtained from the base system. This study was carried out in the National Laboratory for Smart Grids "LAB+i" at Universidad Nacional de Colombia in Bogota. The integration of the models with data on generation and real-time environmental conditions was also described. This methodology was validated by using four models of the system: The base case, the model including DLR, the base system with PV generation, and the model involving DLR integration with PV distributed generation. A methodology for the integration of PV generators and the DLR model into a power system was proposed. This work presents the impact of including distributed generation, using photovoltaic generation (PV), in a power system considering a model of dynamic line rating (DLR).
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