Minimal Path Technique for Congestion Management in Electrical Market


Minimal paths, Congestion, Electricity Market.

How to Cite

D. Dalabeih, A. Dahbour, A. Al Mabrouk, R. Al Qadi. Minimal Path Technique for Congestion Management in Electrical Market. Glob. J. Energ. Technol. Res. Updat. [Internet]. 2019 Dec. 31 [cited 2022 May 21];6(1):61-6. Available from:


 Restructuring of electric power system was mainly introduced in order to create a competition through an electricity market, in such a way to dispatch generators with the lowest bidding prices. However, limitations on the power carrying capability of transmission lines created the problem of congestion. This paper presents a developed technique based on the minimal path concept for managing the congestion problem. The main achievement of this technique, in comparison with other developed methods, is that it does not have to evaluate the contribution of each generator (i.e. distribution factors) in the power flow through each line in the given system, which results in the formulation of a large number of equations to be solved. Instead, it identifies the generators connected to the receiving and sending ends of the congested line, classify these generators into three types (increasing, decreasing and critical) and according to this classification their outputs are decreased and/or increased by specified increments until congestion is solved. Hence, one does not need to formulate equations and then solve it.


Kirby B., Van Dyke J., Rodrignez A. Congestion Management Requirements,Methods and performance Indices. Oak Ridge National Laboratory; 2002; ORNL/7M-2002/119.

YousfN., Mohdzin A., Khairuddin A. Congestion management in power system: A review. 2017 3rd International Conference on Power Generation Systems and Renewable Energy Technologies(PGSRET); DOI:10.1109/PG SERT.2017.8251795.

Nappu M., Arief A., Bansal R. Transmission management for congested power system: Areview of concepts, technical challanges and development of a new methodology. Renewable and Sustainable Energy Reviews; volume 38; October 2014, pp. 522-580.

Yuan C., Hu C., Li T. Review of congestion management methods for power ststems. IOP conference series: Earth and Environmental Science; volume 33; Issue 3; February 2019.

Peesapati R., Yadav V., Kumar N. Transmission congestion managment considering multiple and optimal capacity DGs. Journal of Modern Systems and Clean Energy; 19 April 2017; pp. 713-724.

Nandini S., Suganga P., Lakshmi K. Congestion Management in Transmission lines considering demand response and FACTS Devices; International Journal of Innovative Research in Science, Engineering and Technology; Volume 3 Special Issue 1; February 2014; pp.682-687

Kumar A., Kumar V., Chanana S. Generators and Loads Contribution Factors Dased Congestion Management in Electrical Markets. International Journal of Recent Trends in Engineering; Vol. 2; No. 6; November 2009; pp. 13-16.

Kirschen D., Strbac G. Fundamentals of power system economics. 2004 John Wiley and Sons; ltd ISBN: 0-470-84572-4.

Khanagwal M., Kumar H., Narveer S. Impact of wind units in congestion management for hybrid electricity market. Prceedings of International Conference on Advacement in Computing and Management (ICACM) 2019.

Haque N., Tomar A., Nguyen R., Pemen G. Dynamic tariff for day-ahead congestion management in agent-based LV distribution networks. Energies 2020; 13(2); 318.

Dalabeih D., Dahbour A., AL Mabrouk A., AL Qadi R. Transmission Network and ElectricityMarket. B.Sc. Graduation Project Report; Electrical Eng. Dept.; University of Jordan; May 2009.