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Optimal Location and Sizing of Multiple Static VAr Compensators for Voltage Risk Assessment Using Hybrid PSO-GSA Algorithm

  • Research Article - Electrical Engineering
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Abstract

A new modified severity index is proposed, which when accounted with the probability of the occurrence of contingency, quantifies the risk that numerically describes how close the system is to voltage instability. Voltage instability is mainly due to insufficient reactive power support. FACTS devices are utilized to improve the voltage profile of the system during line outages. The static VAr compensator (SVC) is considered here, as the compensating device. This paper investigates the outage of all 820 possible combinations of N−2 line contingencies in the IEEE 30-bus system, and the most critical contingencies are ranked based on the voltage severity index and voltage risk index. A practical Indian utility 62-bus system is also investigated for all the possible 4,005 contingency states, which are then ranked. A hybrid combination of two heuristic algorithms, particle swarm optimization and gravitational search algorithm are used, which cartels the exploiting and exploring features of the two algorithms respectively, to achieve the objective of determining the optimal location and optimal size of the SVC and to minimize thereby the voltage deviation from the nominal value. This aids the system operator in deciding the effective control action, based on the real time severity index. The test results are compared with both the existing and proposed severity indices using the conventional PSO algorithm, and the proposed hybrid PSO-GSA algorithm. The computational time of the work substantiates the feasibility of the proposed method for real time online severity assessment and enhancement of the system’s security.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Anna University BIT Campus, Trichy, 620024, India

    S. P. Mangaiyarkarasi & T. Sree Renga Raja

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  1. S. P. Mangaiyarkarasi
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Correspondence to S. P. Mangaiyarkarasi.

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Mangaiyarkarasi, S.P., Sree Renga Raja, T. Optimal Location and Sizing of Multiple Static VAr Compensators for Voltage Risk Assessment Using Hybrid PSO-GSA Algorithm. Arab J Sci Eng 39, 7967–7980 (2014). https://doi.org/10.1007/s13369-014-1339-5

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