scholarly journals Optimal Placement of PMU to Enhance Supervised Learning-Based Pseudo-Measurement Modelling Accuracy in Distribution Network

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7767
Author(s):  
Kyung-Yong Lee ◽  
Jung-Sung Park ◽  
Yun-Su Kim
Keyword(s):  
State Estimation ◽  
Supervised Learning ◽  
Phase Angle ◽  
Random Search ◽  
Distribution Network ◽  
Metaheuristic Algorithms ◽  
Optimal Placement ◽  
Pmu Placement ◽  
Optimal Pmu Placement ◽  
Bus System

This paper introduces a framework for optimal placement (OP) of phasor measurement units (PMUs) using metaheuristic algorithms in a distribution network. The voltage magnitude and phase angle obtained from PMUs were selected as the input variables for supervised learning-based pseudo-measurement modeling that outputs the voltage magnitude and phase angle of the unmeasured buses. For three, four, and five PMU installations, the metaheuristic algorithms explored 2000 combinations, corresponding to 40.32%, 5.56%, and 0.99% of all placement combinations in the 33-bus system and 3.99%, 0.25%, and 0.02% in the 69-bus system, respectively. Two metaheuristic algorithms, a genetic algorithm and particle swarm optimization, were applied; the results of the techniques were compared to random search and brute-force algorithms. Subsequently, the effects of pseudo-measurements based on optimal PMU placement were verified by state estimation. The state estimation results were compared among the pseudo-measurements generated by the optimal PMU placement, worst PMU placement, and load profile (LP). State estimation results based on OP were superior to those of LP-based pseudo-measurements. However, when pseudo-measurements based on the worst placement were used as state variables, the results were inferior to those obtained using the LP.

Multistage optimal PMU placement for hybrid state estimation

2017 ◽  
Author(s):  
J. Hazra ◽  
K. Das ◽  
B. K. S. Roy ◽  
M. Padmanaban ◽  
A. K. Sinha
Keyword(s):  
State Estimation ◽  
Hybrid State ◽  
Pmu Placement ◽  
Optimal Pmu Placement

scholarly journals Multi Objective for PMU Placement in Compressed Distribution Network Considering Cost and Accuracy of State Estimation

2019 ◽  
Vol 9 (7) ◽  
pp. 1515 ◽  
Author(s):  
Kong ◽  
Wang ◽  
Yuan ◽  
Yu
Keyword(s):  
State Estimation ◽  
Estimation Error ◽  
Distribution Network ◽  
Measurement Data ◽  
Optimal Solution ◽  
Pareto Set ◽  
Measurement Unit ◽  
Nsga Ii ◽  
Multi Objective ◽  
Pmu Placement

A phasor measurement unit (PMU) can provide phasor measurements to the distribution network to improve observability. Based on pre-configuration and existing measurements, a network compression method is proposed to reduce PMU candidate locations. Taking the minimum number of PMUs and the lowest state estimation error as the objective functions and taking full observability of distribution network as the constraint, a multi objective model of optimal PMU placement (OPP) is proposed. A hybrid state estimator based on supervisory control and data acquisition (SCADA) and PMU measurements is proposed. To reduce the number of PMUs required for full observability, SCADA measurement data are also considered into the constraint by update and equivalent. In addition, a non-dominated sorting genetic algorithm-II (NSGA-II) is applied to solve the model to get the Pareto set. Finally, the optimal solution is selected from the Pareto set by the technique for order preference by similarity to ideal solution (TOPSIS). The effectiveness of the proposed method is verified by IEEE standard bus systems.

Optimal PMU placement considering state estimation uncertainty and voltage controllability

2017 ◽  
Vol 11 (18) ◽  
pp. 4465-4475 ◽  
Author(s):  
Chunxue Zhang ◽  
Youwei Jia ◽  
Zhao Xu ◽  
Loi Lei Lai ◽  
Kit Po Wong
Keyword(s):  
State Estimation ◽  
Estimation Uncertainty ◽  
Pmu Placement ◽  
Optimal Pmu Placement

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

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4297
Author(s):  
Kong ◽  
Yuan ◽  
Wang ◽  
Xu ◽  
Yu
Keyword(s):  
Distribution Network ◽  
Network Planning ◽  
Distribution Networks ◽  
Vulnerability Index ◽  
Optimal Placement ◽  
Measurement Unit ◽  
Solution Flow ◽  
Distribution Network Planning ◽  
Pmu Placement ◽  
Smart Distribution Network

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.

scholarly journals Optimal PMU Placement with Uncertainty Using Pareto Method

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
A. Ketabi ◽  
S. M. Nosratabadi ◽  
M. R. Sheibani
Keyword(s):  
State Estimation ◽  
Test System ◽  
Optimal Placement ◽  
Pareto Optimum ◽  
De Algorithm ◽  
Suggested Strategy ◽  
Measurement Units ◽  
Pmu Placement ◽  
Pareto Method ◽  
Value Decomposition

This paper proposes a method for optimal placement of Phasor Measurement Units (PMUs) in state estimation considering uncertainty. State estimation has first been turned into an optimization exercise in which the objective function is selected to be the number of unobservable buses which is determined based on Singular Value Decomposition (SVD). For the normal condition, Differential Evolution (DE) algorithm is used to find the optimal placement of PMUs. By considering uncertainty, a multiobjective optimization exercise is hence formulated. To achieve this, DE algorithm based on Pareto optimum method has been proposed here. The suggested strategy is applied on the IEEE 30-bus test system in several case studies to evaluate the optimal PMUs placement.

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