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Fuzzy multi-objective reactive power clearing considering reactive compensation sources

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  • Khazali, A.H.
  • Kalantar, M.
  • Khazali, Ali

Abstract

This paper presents a fuzzy multi-objective approach for clearing the reactive power market. The objective functions that have been studied are the total payment function (TPF), voltage stability and the voltage deviation of the buses. All of the objective functions are transformed to membership functions and then a pseudogoal function is derived to express a unique objective function. In this work initially the reactive power compensation devices are assumed to compete in an integrated market with the generators but after probing the problems of this type of market a separate reactive power market is proposed. Fuzzy adaptive PSO (FAPSO) has been used to solve the optimization problem and determine the amount of reactive power that each generator has to provide. Also the reactive power generated by the reactive compensation devices and adjustment tap settings of transformers are specified. The proposed reactive market is implemented to the IEEE 30-bus system.

Suggested Citation

  • Khazali, A.H. & Kalantar, M. & Khazali, Ali, 2011. "Fuzzy multi-objective reactive power clearing considering reactive compensation sources," Energy, Elsevier, vol. 36(5), pages 3319-3327.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:5:p:3319-3327
    DOI: 10.1016/j.energy.2011.03.027
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    References listed on IDEAS

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    1. Rabiee, A. & Shayanfar, H. & Amjady, N., 2009. "Multiobjective clearing of reactive power market in deregulated power systems," Applied Energy, Elsevier, vol. 86(9), pages 1555-1564, September.
    2. Amjady, N. & Rabiee, A. & Shayanfar, H.A., 2010. "A stochastic framework for clearing of reactive power market," Energy, Elsevier, vol. 35(1), pages 239-245.
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    Cited by:

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    2. Martinez-Rojas, Marcela & Sumper, Andreas & Gomis-Bellmunt, Oriol & Sudrià-Andreu, Antoni, 2011. "Reactive power dispatch in wind farms using particle swarm optimization technique and feasible solutions search," Applied Energy, Elsevier, vol. 88(12), pages 4678-4686.
    3. Jin, Hongyang & Li, Zhengshuo & Sun, Hongbin & Guo, Qinglai & Wang, Bin, 2018. "A two-stage reactive power optimization in transmission network incorporating reserves from voltage-dependent loads," Energy, Elsevier, vol. 157(C), pages 752-763.
    4. Saraswat, Amit & Saini, Ashish & Saxena, Ajay Kumar, 2013. "A novel multi-zone reactive power market settlement model: A pareto-optimization approach," Energy, Elsevier, vol. 51(C), pages 85-100.

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