A new numerical algorithm to check the observability and bad-data processing ability of the metering scheme

Lu, Zhengding; Tian, Shasha; Liu, Xueying; Zhao, Hongying

doi:10.1016/j.ijepes.2014.10.020

Cited by 3 publications

(1 citation statement)

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“…Paper [18] proposes an optimal strategy of PMU placement for maximizing the average detection performance when multiple line outages occur. The algorithm proposed in [19] can make the system observable, detect bad-data and is capable of working with mixed measurement cases. The optimization technique of [20] deals with the gain matrix and finds the rank of the Jacobian, thereby reaching the optimal solution in only 3-4 iterations by shortening the constraint equations.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Phasor Measurement Unit (PMU) Placement in Supervisory Control and Data Acquisition (SCADA)-Based Power System for Better State-Estimation Performance

2018

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Present-day power systems are mostly equipped with conventional meters and intended for the installation of highly accurate phasor measurement units (PMUs) to ensure better protection, monitoring and control of the network. PMU is a deliberate choice due to its unique capacity in providing accurate phasor readings of bus voltages and currents. However, due to the high expense and a requirement for communication facilities, the installation of a limited number of PMUs in a network is common practice. This paper presents an optimal approach to selecting the locations of PMUs to be installed with the objective of ensuring maximum accuracy of the state estimation (SE). The optimization technique ensures that the critical locations of the system will be covered by PMU meters which lower the negative impact of bad data on state-estimation performance. One of the well-known intelligent optimization techniques, the genetic algorithm (GA), is used to search for the optimal set of PMUs. The proposed technique is compared with a heuristic approach of PMU placement. The weighted least square (WLS), with a modified Jacobian to deal with the phasor quantities, is used to compute the estimation accuracy. IEEE 30-bus and 118-bus systems are used to demonstrate the suggested technique.

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Section: Introductionmentioning

confidence: 99%