[1] A. Narain, S.K. Srivastava, S.N. Singh. congestion management approaches in restructured power
system: Key issues and challenges. The Electricity Journal, 2020, 33, 106715.
[2] A. Gautam, Ibraheem, G. Sharma, M. F. Ahmer and N. Krishnan. Methods and Methodologies for
Congestion Alleviation in the DPS: A Comprehensive Review. Energies, 2023, 16, 1765;
https://doi.org/10.3390/en16041765.
[3] T.T. Nguyen and F. Mohammadi. Optimal Placement of TCSC for Congestion Management and
Power Loss Reduction Using Multi-Objective Genetic Algorithm. Sustainability, 2020, 12, 2813;
doi:10.3390/su12072813.
[4] M. Esmaili, H. A. Shayanfar, R. Moslemi. Locating series FACTS devices for multi-objective
congestion management improving voltage and transient stability. European Journal of Operational
Research, 2014; 236:763–773.
[5] A. Kumar Reddy K., Shiv P. Singh. Congestion mitigation using UPFC. IET Generation,
Transmission & Distribution. 2016, Vol. 10, Iss. 10, pp. 2433–2442.
[6] B. N. Bhukya, P. R. Chinda, S.R. Rayapud. A Novel Approach for Congestion Management in
Transmission System with Advanced Control Using Innovative Algorithm. International Journal
on Electrical Engineering and Informatics, 2022, Vol. 14, Num. 1.
[7] M. Khanabadi, Y. Fu, and C. Liu. Decentralized Transmission Line Switching for Congestion
Management of Interconnected Power Systems. IEEE Transactions on Power Systems, 2018, vol.
33, pp 5902- 5912.
[8] X. Zhang, Y. Liu, H. Gao, L. Wang, and J, Liu. A Bi-Level Corrective Line Switching Model for
Urban Power Grid Congestion Mitigation. IEEE Transactions on Power Systems, 2020, vol. 35,
No. 4.
[9] K. Chakravarthi; P. Bhui; N. K. Sharma; B. C. Pal. Real Time Congestion Management Using
Generation Re-Dispatch: Modeling and Controller Design. IEEE Transactions on Power Systems,
2023, Vol.38, Iss:3, pp: 2189 – 2203.
[10] M. Panda, Y. K. Nayak. Impact analysis of renewable energy Distributed Generation in deregulated
electricity markets: A Context of Transmission Congestion Problem. Energy, 2022, vol:254.
124403.
[11] F. Haq, P. Bhui and K. Chakravarthi. Real Time Congestion Management Using Plug in Electric
Vehicles (PEV’s): A Game Theoretic Approach. IEEE Access, 2022, Vol. 10. doi:
10.1109/ACCESS.2022.3167847.
[12] L. Bai, J. Wang, C. Wang, C. Chen, F. Li. Distribution Locational Marginal Pricing (DLMP) for
Congestion Management and Voltage Support. IEEE Transactions on Power Systems, 2018, vol
33, pp 4061 - 4073.
[13] V. K. Prajapati, V. Mahajan. Demand Response Based Congestion Management of Power System
with Uncertain Renewable Resources. International Journal of Ambient Energy, 2019, Vol. 43,
pp.103-116.
[14] M. A. Fotouhi Ghazvini, G. Lipari, M. Pau, F. Ponci, A. Monti, J. Soares, R. Castro, Z. Vale.
Congestion management in active distribution networks through demand response implementation.
Sustainable Energy, Grids and Networks, 2019, vol. 17, pp. 2352–4677. doi:
10.1016/j.segan.2018.100185.
[15] Z. Mengting, X. Chengsi, D. Shufeng, T. Kunjie, G. Chenghong. An integrated multi-energy flow
calculation method for electricity-gas-thermal integrated energy systems. Protection and Control of
Modern Power Systems, 2021 ,6(1): pp:1–12.
[16] M. Nazari-Heris, B. Mohammadi-Ivatloo, S. Asadi, Z. Woo Geem. Large-Scale Combined Heat
and Power Economic Dispatch Using a Novel Multi-Player Harmony Search Method. Applied
Thermal Engineering, 2019, vol:154, pp 493-504.
[17] Jia. W, Ding. T, Huang. C, Zhou. Q, Shahidehpour. M. Convex Optimization of Integrated Power-
Gas Energy Flow Model with Applications to Probabilistic Energy Flow. IEEE Transactions on
Power Systems, 2021,Vol.36, Iss: 2, pp: 1432 – 1441.
[18] X. Lu, Z. Liu, L. Ma, L. Wang, K. Zhou, Sh. Yang. A robust optimization approach for coordinated
operation of multiple energy hubs. Energy, 2020, vol.197, 117171.
[19] Y. Zhou, M. Shahidehpour, Z. Wei, G. Sun, and S. Chen. Multistage Robust Look-Ahead Unit
Commitment with Probabilistic Forecasting in Multi-Carrier Energy Systems. IEEE Transactions
on sustainable energy, 2021, vol.12, No.1.
[20] M. Y. Damavandi, I. Kiaei, M. K. Sheikh-El-Eslami, H. Seifi. New approach to gas network
modeling in unit commitment. Energy, 2011, vol. 36, 6243-6250.
[21] X. Zhang, M. Shahidehpour, A. Alabdulwahab, A Abusorrah. Optimal Expansion Planning of
Energy Hub with Multiple Energy Infrastructures. IEEE Transactions on Smart Grid, 2015, vol. 6,
pp: 2302 – 2311.
[22] W. Huang, N. Zhang, J. Yang, Y. Wang, Ch. Kang. Optimal Configuration Planning of Multi-
Energy Systems Considering Distributed Renewable Energy. IEEE Transactions on Smart Grid,
2019, vol. 10, No.2, pp: 1452 – 1464.
[23] M. Cao, Ch. Shao, Bo. Hu, K. Xie, W. Li, L. Peng and W. Zhang. Reliability Assessment of
Integrated Energy Systems Considering Emergency Dispatch Based on Dynamic Optimal Energy
Flow. IEEE Transactions on sustainable energy, 2022, Vol.13, No.1.
[24] K. Singh, V. K. Yadav, N. P. Padhy and J. Sharma. Congestion Management Considering Optimal
Placement of Distributed Generator in Deregulated Power System Networks. Electric Power
Components and Systems, 2014, 42(1):13–22.
[25] A. A. Mohammad Aljabery, H. Mehrjerdi, S. Mahdavi, R. Hemmati. Multi carrier energy systems
and energy hubs: Comprehensive review, survey and recommendations. International Journal of
Hydrogen energy, 2021, 46 ,23795-23814.
[26] D. De Wolf and Y. Smeers. The gas transmission problem solved by an extension of the simplex
algorithm. Manag. Sci. 2000, vol. 46, no. 11, pp. 1454–1465.
[27] M. Jadidbonab, M.J. Vahid-Pakdel, H. Seyedi, B. Mohammadi-ivatloo. Stochastic assessment and
enhancement of voltage stability in multi carrier energy systems considering wind power. Electrical
Power and Energy Systems, 2019, 106, 572–584.
[28] A. Hosseini, A. Mirzapour-Kamanaj, R. Kazemzadeh, K. Zare, B. Mohammadi-Ivatloo. Congestion
management for coordinated electricity and gas grids in the presence of multi-energy hubs: A riskbased
optimal scheduling. Sustainable Energy, Grids and Networks, 2023, 36, 101153.
https://doi.org/10.1016/j.segan.2023.101153.
[29] M. Alipour, K. Zare and M. Abapour. MINLP Probabilistic Scheduling Model for Demand
Response Programs Integrated Energy Hubs. IEEE Transactions on Industrial Informatics, 2018,
vol.14, 79 – 88.
[30] E. R. Richard. GAMS-a user's guide. Washington D.C.: GAMS Development Corporation, 2007.
[31] M. Khoshbouy, R. Kazemzadeh. Optimization of transmission lines congestion management in
integrated electricity and natural gas multi-carrier energy systems. IET Generation, Transmission
& Distribution. 2024, 1–16. https://doi.org/10.1049/gtd2.13119.