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Attuned design of demand response program and M-FACTS for relieving congestion in a restructured market environment

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Abstract

This paper addresses the attuned use of multiconverter flexible alternative current transmission systems (M-FACTS) devices and demand response (DR) to perform congestion management (CM) in the deregulated environment. The strong control capability of the M-FACTS offers a great potential in solving many of the problems facing electric utilities. Besides, DR is a novel procedure that can be an effective tool for reduction of congestion. A market clearing procedure is conducted based on maximizing social welfare (SW) and congestion as network constraint is paid by using concurrently the DR and M-FACTS. A multi-objective problem (MOP) based on the sum of the payments received by the generators for changing their output, the total payment received by DR participants to reduce their load and M-FACTS cost is systematized. For the solution of this problem a nonlinear time-varying evolution (NTVE) based multi-objective particle swarm optimization (MOPSO) style is formed. Fuzzy decision-making (FDM) and technique for order preference by similarity to ideal solution (TOPSIS) approaches are employed for finding the best compromise solution from the set of Pareto-solutions obtained through multi-objective particle swarm optimization-nonlinear time-varying evolution (MOPSO-NTVE). In a real power system, Azarbaijan regional power system of Iran, comparative analysis of the results obtained from the application of the DR & unified power flow controller (UPFC) and the DR & M-FACTS are presented.

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Authors and Affiliations

  1. Technical Engineering Department, University of Mohaghegh Ardabili, Ardabil, 5619911367, Iran

    Y. Hashemi & H. Shayeghi

  2. Network Studies Group, Bakhtar Regional Electric Company, Arak, 3818385354, Iran

    B. Hashemi

Authors
  1. Y. Hashemi
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  2. H. Shayeghi
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  3. B. Hashemi
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Correspondence to H. Shayeghi.

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Hashemi, Y., Shayeghi, H. & Hashemi, B. Attuned design of demand response program and M-FACTS for relieving congestion in a restructured market environment. Front. Energy 9, 282–296 (2015). https://doi.org/10.1007/s11708-015-0366-6

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  • DOI: https://doi.org/10.1007/s11708-015-0366-6

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