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Investigation of maximum observability of standard test bus systems with phasor measurement units using flower pollination algorithm

The novel and optimal phasor measurement unit (PMU) observability has been attained based on the flower pollination algorithm (FPA). The prime objective is to select the optimal bus for placing the PMU to maximize the number of bus observance in the system. Many optimization techniques have been developed with an aim to optimize the PMU's required quantity with attaining full observability of the network. This paper proposes a new technique of modified FPA, which reduces the computation time and achieves greater accuracy. This approach also helps in achieving the maximum observability of power system based on choosing the optimum buses to place the PMUs. The proposed algorithm would be best suited and offers highly accurate results when analyzing the system for maximum observability with the minimum number of allotted PMUs. The FPA algorithm is implemented on standard IEEE 14 bus, IEEE 30 bus, and IEEE 118 bus systems. The proposed FPA algorithm outperforms other evolutionary algorithms. It yields better overall performance than other algorithm methods, in terms of the minimum number of PMUs with maximum observability, including contingency analysis.