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Please use this identifier to cite or link to this item: https://dspace.ucuenca.edu.ec/handle/123456789/46065
Title: Co-optimization of generation and AC transmission networks, considering reactive power allocation and network power losses
Authors: Ochoa Correa, Danny Vinicio
Chillogalli, Jose E.
Torres Contreras, Santiago Patricio
Astudillo Salinas, Darwin Fabian
metadata.dc.ucuenca.correspondencia: Torres Contreras, Santiago Patricio, santiago.torres@ucuenca.edu.ec
Keywords: Integrated planning
Generation expansion planning
Transmission network expansion planning
AC model
Co-optimization
metadata.dc.ucuenca.areaconocimientofrascatiamplio: 2. Ingeniería y Tecnología
metadata.dc.ucuenca.areaconocimientofrascatidetallado: 2.2.1 Ingeniería Eléctrica y Electrónica
metadata.dc.ucuenca.areaconocimientofrascatiespecifico: 2.2 Ingenierias Eléctrica, Electrónica e Información
metadata.dc.ucuenca.areaconocimientounescoamplio: 07 - Ingeniería, Industria y Construcción
metadata.dc.ucuenca.areaconocimientounescodetallado: 0713 - Electricidad y Energia
metadata.dc.ucuenca.areaconocimientounescoespecifico: 071 - Ingeniería y Profesiones Afines
Issue Date: 2024
metadata.dc.ucuenca.volumen: Volumen 12
metadata.dc.source: IEEE Access
metadata.dc.identifier.doi: 10.1109/ACCESS.2024.3446239
metadata.dc.type: ARTÍCULO
Abstract: 
Generation and transmission network expansion planning (GTNEP) co-optimization models have been developed to enable simultaneous decisions considering investment and operational components. Most works solve the GTNEP using linearized models without considering voltage variables, reactive power constraints, and network power losses, thus resulting in a loss of model fidelity and leading to either sub-optimal or non-feasible expansion plans. Therefore, this work addresses the GTNEP problem by integrating the planning of newgeneration power plants, transmission lines, reactive power allocation, and the evaluation of network power losses, using theAC model to assess the operational problem. Therefore, the integrated AC-GTNEP problem is tackled using meta-heuristic optimization techniques. The approach was implemented using the Julia programming language and evaluated using the 6-bus Garver, the IEEE 24-bus, and the IEEE 118-bus test systems. The results illustrate that the proposed integrated GTNEP approach yields more cost-effective expansion plans compared to the sequential approach, with total savings of approximately 11.30%, 8.8%, and 2.5% when applied to each test system, respectively
URI: https://dspace.ucuenca.edu.ec/handle/123456789/46065
https://www.scopus.com/record/display.uri?eid=2-s2.0-85201766667&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=TITLE-ABS-KEY%28Co-Optimization+of+Generation+and+AC+Transmission+Networks%2C+Considering+Reactive+Power+Allocation+and+Network+Power+Losses%29
metadata.dc.ucuenca.urifuente: https://ieeeaccess.ieee.org/about-ieee-access/learn-more-about-ieee-access/
ISSN: 21693536
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