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.

scholarly journals The Improvement of Weighted Least Square State Estimation Accuracy Using Optimal PMU Placement

2020 ◽  
Vol 15 ◽  
Keyword(s):  
State Estimation ◽  
System Analysis ◽  
Test System ◽  
The State ◽  
Least Square ◽  
Optimal Placement ◽  
Estimation Accuracy ◽  
Estimation Performance ◽  
Measurement Units ◽  
A New Technique

This paper proposed a new technique to improve the state estimation performance by optimal placement of phasor measurement units (OPP), the proposed technique is based on Simulating Annealing (SA) algorithm for OPP by comparing between the SA solution sets and choosing the optimal location of PMUs to enhance the state estimation performance. The proposed technique has been tested through IEEE 24 bus test system using power system analysis toolbox in MATLAB program. In this paper the root mean squared deviation (RMSD) has been used to determine the state estimation performance, the simulation result demonstrates that the proposed method proved its effectiveness to be one of the best methods used to improve the state estimation performance

scholarly journals Optimal PMU Placement Technique to Maximize Measurement Redundancy Based on Closed Neighbourhood Search

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4782
Author(s):  
Lourdusamy Ramya Hyacinth ◽  
Venugopal Gomathi
Keyword(s):  
Power System ◽  
Test System ◽  
Optimal Placement ◽  
Dc Microgrid ◽  
Observability Index ◽  
Minimum Number ◽  
Neighbourhood Search ◽  
Measurement Units ◽  
Pmu Placement ◽  
Redundancy Index

This paper proposes a method for the optimal placement of phasor measurement units (PMUs) for the complete observability of a power system based on the degree of the neighbourhood vertices. A three-stage algorithm is used to determine the minimum number of PMUs needed to make the system observable. The key objective of the proposed methodology is to minimize the total number of PMUs to completely observe a power system network and thereby minimize the installation cost. In addition, the proposed technique also focuses on improving the measurement redundancy. The proposed method is applied on standard IEEE 14-bus, IEEE 24-bus, IEEE 30-bus, IEEE 57-bus and IEEE 118-bus test systems and a hybrid AC/DC microgrid test system. The results obtained are compared with already existing methods in terms of the Bus Observability Index (BOI) and System Observability Redundancy Index (SORI). The results show that the proposed method is simple to implement and provides better placement locations for effective monitoring compared to other existing methods.

scholarly journals A comprehensive review for optimal placement of phasor measurement unit for network observability

2020 ◽  
Vol 19 (1) ◽  
pp. 301
Author(s):  
Maveeya Baba ◽  
Nursyarizal .B.M. Nor ◽  
Taib.B. Ibrahim ◽  
M.Aman. Sheikh
Keyword(s):  
Real Time ◽  
Optimal Placement ◽  
Measurement Unit ◽  
Complete Network ◽  
Real Time Measurement ◽  
Phasor Measurement ◽  
Measurement Units ◽  
Pmu Placement ◽  
Future Work ◽  
Installation Cost

Real time synchronized phasor measurement in power network is obtained by the improvement in monitoring, control and, protection of the power system. In recent time, the installation ratio of Phasor Measurement Units (PMUs) is constantly increasing for the real time measurement throughout worldwide. The increment in the number of PMU installation is to only focus on the improvement of system state estimation (SE) performance. However, the expensive nature of the metering device requires huge amount of installation cost with the other communication facilities, therefore an optimal placement of PMU is necessary. Different techniques have been designed and used to overcome this matter. The paper presents numerous optimization algorithms such as, Mathematical programming, Heuristic, and Meta-Heuristic techniques which are specially used for the optimization of PMU placement with complete network observability. Furthermore, each PMU technique is explained, and performances are compared for the most appropriate and optimal placement of PMU methods, which can be recommended for a future work to get complete network observability.

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.

scholarly journals OPTIMAL PLACEMENT OF PHASOR MEASUREMENT UNITS FOR POWER SYSTEM OBSERVABILITY

2013 ◽  
pp. 266-269
Author(s):  
RAJPAL SAINI ◽  
MANJU MAM ◽  
MANISH KR. SAINI
Keyword(s):  
Fault Diagnosis ◽  
Power System ◽  
State Estimation ◽  
Phasor Measurement Units ◽  
Optimal Placement ◽  
Linear Algorithm ◽  
Normal Operating ◽  
Phasor Measurement ◽  
Minimum Number ◽  
Measurement Units

This paper present a method to find minimum number of phasor measurement units (PMUs) for complete observability of power system network for normal operating conditions.A linear algorithm is used to determine the minimum number of PMUs needed to make the system observable. For state estimation and fault diagnosis in power system synchronized snapshot of whole system must be necessary. The proposed method is used to benchmark the optimal PMUs placement solution for the IEEE 14-bus, IEEE 18- bus, IEEE 30-bus and IEEE 57-bus test systems.

scholarly journals OPTIMAL PLACEMENT OF PHASOR MEASUREMENT UNITS FOR POWER SYSTEM OBSERVABILITY WITHOUT CONSIDERING ZERO INJECTION BUSES

2012 ◽  
pp. 117-121
Author(s):  
RAJPAL SAINI ◽  
MANJU mam
Keyword(s):  
Fault Diagnosis ◽  
Power System ◽  
State Estimation ◽  
Phasor Measurement Units ◽  
Operating Conditions ◽  
Optimal Placement ◽  
Linear Algorithm ◽  
Phasor Measurement ◽  
Minimum Number ◽  
Measurement Units

This paper present a method to find minimum number of phasor measurement units (PMUs) for complete observability of power system network for normal operating conditions .A linear algorithm is used to determine the minimum number of PMUs needed to make the system observable without considering zero injection buses. For state estimation and fault diagnosis in power system synchronized snapshot of whole system must be necessary. The proposed method is used to benchmark the optimal PMUs placement solution for the IEEE 14-bus, IEEE 18-bus, IEEE 24-bus, IEEE 30-bus and IEEE 57-bus test systems.

Application of Teaching Learning-Based Optimization to the Optimal Placement of Phasor Measurement Units

2018 ◽  
pp. 407-438
Author(s):  
Abdelmadjid Recioui
Keyword(s):  
Phasor Measurement Units ◽  
Optimal Placement ◽  
Placement Problem ◽  
Electric Transmission ◽  
Phasor Measurement ◽  
Teaching Learning Based Optimization ◽  
Measurement Units ◽  
Pmu Placement ◽  
Teaching Learning ◽  
Full Network

In recent years, the placement of phasor measurement units (PMUs) in electric transmission systems has gained much attention. This chapter presents a binary teaching learning based optimization (BTLBO) algorithm for the optimal placement of phasor measurement units (PMUs). The optimal PMU placement problem is formulated to minimize the number of PMUs installation subject to full network observability at the power system buses. The efficiency of the proposed method is verified by the simulation results of IEEE14-bus, 30-bus, 57-bus-118 bus systems, respectively. The results show that the whole system can be observable with installing PMUs on less than 25% of system buses. For verification of our proposed method, the results are compared with some newly reported methods which show the method as a novel effective solution to obtain system measurements with the least number of phasor measurement units.

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