A new multi-objective solution approach to solve transmission congestion management problem of energy markets

Seyyed Ahmad Hosseini, Nima Amjady, Miadreza Shafie-khah and João P.S. Catalão

Applied Energy, 2016, vol. 165, issue C, 462-471

Abstract: Transmission congestion management plays a key role in deregulated energy markets. To correctly model and solve this problem, power system voltage and transient stability limits should be considered to avoid obtaining a vulnerable power system with low stability margins. Congestion management is modeled as a multi-objective optimization problem in this paper. The proposed scheme includes the cost of congestion management, voltage stability margin and transient stability margin as its multiple competing objectives. Moreover, a new effective Multi-objective Mathematical Programming (MMP) solution approach based on normalized normal constraint (NNC) method is presented to solve the multi-objective optimization problem of the congestion management, which can generate a well-distributed and efficient Pareto frontier. The proposed congestion management model and MMP solution approach are implemented on the New-England’s test system and the obtained results are compared with the results of several other congestion management methods. These comparisons verify the superiority of the proposed approach.

Keywords: Transmission congestion management; Deregulated energy market; Multi-objective mathematical programming; Voltage and transient stability (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (7)

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DOI: 10.1016/j.apenergy.2015.12.101

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