Hybrid approach based on global search algorithm for optimal placement of μPMU in distribution networks

Chen, Xuebing; Chen, Tengpeng; Tseng, King Jet; Sun, Yuhao; Amaratunga, G.A.J.

doi:10.1109/isgt-asia.2016.7796445

Cited by 20 publications

(12 citation statements)

References 11 publications

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“…Therefore, it is concluded that the proposed hybrid ILP based method is able to identify all the alternative optimal solutions as the exhaustive search method does. The computational time of the proposed method is given in Table 9 and is compared with the ILP and the exhaustive search methods [21]. In the three test systems mentioned above, the ILP takes least time to find a optimal solution.…”

Section: Optimization Results Without Considering Single Pmu Lossmentioning

confidence: 99%

Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming

et al. 2019

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Integer linear programming (ILP) has been widely applied to solve the optimal phasor measurement unit (PMU) placement (OPP) problem for its computational efficiency. Using ILP, a placement with minimum number of Phasor Measurement Units (PMUs) and maximum measurement redundancy can be obtained while ensuring system observability. Author response: please delete this above sentence. However, the existing ILP-based OPP methods does not guarantee full coverage of solutions to the optimization problem, which may sequentially results in suboptimal supervision of the system. In this paper, a hybrid ILP-based method is proposed to cover all solutions to the OPP problem without any omission. Comparing with the existing exhaustive searching methods, the proposed method is more computationally efficient, which makes finding all solutions in a large system a more feasible problem.

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Section: Optimization Results Without Considering Single Pmu Lossmentioning

confidence: 99%

Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming

et al. 2019

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“…In [51], the authors propose a hybrid method based on global search algorithm to choose the optimal placement of µPMU in distribution networks for complete observability. This method obtains the optimal solution with reasonable computational time.…”

Section: Optimal µPmu Placement In Distribution Networkmentioning

confidence: 99%

“…The performances are compared in terms of numbers of µPMUs, PFMs, and FTUs, and computational time. The performance for the number of µPMUs are the same among [50][51][52], but they have different computational time. In [53], the proposed method uses less number of µPMUs than that of the works [50][51][52] because it uses combinational monitoring system with the µPMUs and PFMs.…”

Section: Optimal µPmu Placement In Distribution Networkmentioning

confidence: 99%

A Survey on the Micro-Phasor Measurement Unit in Distribution Networks

Dusabimana

Yoon

2020

Electronics

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The Micro-Phasor Measurement Unit (µPMU) or distribution-level PMU (D-PMU) is a measurement device that measures the synchronized voltage and current values of electric power distribution networks. The synchronized data obtained by µPMUs can be used for monitoring, diagnostic, and control distribution network applications, so that operators can understand the dynamic states of the distribution network in real-time. In this paper, we review the state-of-the-art µPMU research which includes a list of µPMU applications, monitoring and diagnostic functions, control applications, and optimal placement of the µPMU. In addition, we analyze the benefits of µPMUs in distribution networks; in particular, their reliability and resiliency, cost savings, and environmental and policy benefits.

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“…The network topology of the distribution network can be improved to obtain the optimal PMU placement scheme. Reference [31] combined the radial network structure of the distribution network, and proposed an optimal PMU placement method suitable for large-scale distribution networks by dividing them into a main network and subnets. In [32], the problem of optimal PMU placement in a distribution network considering network replacement was studied, and the ant colony optimization algorithm was used to realize system reconstruction to solve the problem of minimum loss.…”

Section: Introductionmentioning

confidence: 99%

Research on Optimal D-PMU Placement Technology to Improve the Observability of Smart Distribution Networks

et al. 2019

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With the continuous development of smart distribution networks, their observable problems have become more serious. Research on the optimal placement of the distribution phasor measurement unit (D-PMU) is an important way to improve the measurability, observability and controllability of a smart distribution network. In this paper, the optimal D-PMU placement methods and implementation technology were studied to determine the optimal D-PMU placement scheme. Considering the bus vulnerability index and the different operating states of the system, the more practical one-time optimal placement methods to ensure complete system observability was proposed. On this basis, the system's measurement redundancy and unobservable depth were considered to realize the multistage optimal D-PMU placement. The corresponding mathematical model and solution flow were given. Then the implementation technology of the methods was studied and the optimal D-PMU placement assistant decision-making software for smart distribution network was developed. Thereby, the structure and requirements of different distribution networks can be satisfied. The application analysis, functional architecture and the overall design process were given. Finally, the methods and software were analyzed by using the IEEE 33 bus system and an actual project, the Guangzhou Nansha Yuan'an Substation. The verification results showed that the method and software mentioned in this paper can provide convenient and quick operation for optimal D-PMU placement, improve the efficiency of smart distribution network planning work, and promote the theoretical application level of smart distribution network planning results.

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Hybrid approach based on global search algorithm for optimal placement of μPMU in distribution networks

Cited by 20 publications

References 11 publications

Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming

Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming

A Survey on the Micro-Phasor Measurement Unit in Distribution Networks

Research on Optimal D-PMU Placement Technology to Improve the Observability of Smart Distribution Networks

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