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Multi-objective Reactive Power Optimization and Multi-attribute Decision Making Considering the Risk of Voltage Collapse

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Unifying Electrical Engineering and Electronics Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 238))

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Abstract

In view of the impact on power system brought by voltage collapse, setting the minimum of the network loss and the minimum of the risk of voltage collapse as the objective functions, a multi-objective reactive power optimization model is established. By applying an improved differential evolution (DE) algorithm to this model, the Pareto optimal set is obtained. Then, technique for order preference by similarity to ideal solution (TOPSIS) method based on entropy weight is used to implement a multi-attribute decision making on the decision matrix composed of the Pareto optimal set, and an eclectic solution is selected to provide guidance for decision makers. The effectiveness of the proposed model and algorithm is verified on IEEE RTS79 test system.

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Correspondence to Tian Xia .

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Xia, T., Yang, J., Zhang, Z., Yang, Y., Li, Y. (2014). Multi-objective Reactive Power Optimization and Multi-attribute Decision Making Considering the Risk of Voltage Collapse. In: Xing, S., Chen, S., Wei, Z., Xia, J. (eds) Unifying Electrical Engineering and Electronics Engineering. Lecture Notes in Electrical Engineering, vol 238. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4981-2_32

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  • DOI: https://doi.org/10.1007/978-1-4614-4981-2_32

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-4980-5

  • Online ISBN: 978-1-4614-4981-2

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