TY - JOUR
T1 - Co-Optimization of Generation and AC Transmission Networks, Considering Reactive Power Allocation and Network Power Losses
AU - Chillogalli, José Eduardo
AU - Torres Contreras, Santiago Patricio
AU - Romero, Ruben A.
AU - Chumbi, Wilson E.
AU - Astudillo Salinas, Darwin Fabián
AU - Ochoa Correa, Danny Vinicio
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - AC model
KW - co-optimization
KW - generation expansion planning
KW - integrated planning
KW - transmission network expansion planning
KW - AC model
KW - Co-optimization
KW - Generation expansion planning
KW - Integrated planning
KW - Transmission network
KW - Expansion planning
UR - https://www.scopus.com/pages/publications/85201766667
UR - https://ieeexplore.ieee.org/document/10639383
U2 - 10.1109/ACCESS.2024.3446239
DO - 10.1109/ACCESS.2024.3446239
M3 - Artículo
AN - SCOPUS:85201766667
SN - 2169-3536
VL - 12
SP - 116428
EP - 116441
JO - IEEE Access
JF - IEEE Access
ER -