scholarly journals Compensated Load Flow Solutions for Distribution System State Estimation

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3100 ◽  
Author(s):  
Catalina Gómez-Quiles ◽  
Esther Romero-Ramos ◽  
Antonio de la Villa-Jaén ◽  
Antonio Gómez-Expósito
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Distribution Systems ◽  
Jacobian Matrix ◽  
Accurate Estimate ◽  
Load Flow ◽  
System State ◽  
Critical Set ◽  
Estimation Of Distribution ◽  
Ill Conditioning

State estimation of distribution systems typically relies on measurement sets with very low redundancy levels. In this paper, this fact is exploited by first solving a conventional load flow, using exclusively a critical set of measurements, and then compensating the solution to account for the few redundant measurements available. This leads to a suboptimal but sufficiently accurate estimate. It is shown how the sparse triangular factorization of the load flow Jacobian matrix can be fully exploited throughout the compensation-based procedure, preventing in this way the ill-conditioning associated with the gain matrix arising in the conventional least-squares formulation. Simulation results are provided for measurement configurations customarily found in distribution systems, showing the potential advantages of the proposed methodology.

scholarly journals A Direct Method for Distribution System Load Flow Solutions

2019 ◽  
Vol 8 (6S3) ◽  
pp. 749-753
Keyword(s):  
Distribution System ◽  
Power Flow ◽  
Distribution Systems ◽  
Jacobian Matrix ◽  
Direct Method ◽  
Distribution Networks ◽  
Vital Role ◽  
Load Flow ◽  
Distribution Automation ◽  
Voltage Profile

Load flow or power flow studies are plays vital role in power system operation and control. These load flows are used to find voltage profile, power flow and losses etc. at each and every buses and branches. Traditional LU decomposition and forward-backward methods are consuming more time to run load flows due to Jacobian matrix. The proposed solution A direct approach method for distribution load flow solutions does not required any Jacobian matrix to load flow solution, hence this solution is time efficient and robust. Using special properties of distribution networks two simple matrices are formed. One is bus injection to branch current and other branch current to bus voltage matrix, by multiplying these two matrices to obtain required load flow solution.Test results gives the clear picture about this method. This method having grate capacity touse in unbalanced multiphase distribution automation applications, mostly on very large distribution systems. This project tested with the input data of 15 bus and 33 bus radial distribution system and also a 9 bus system data which includes Distribution Generation.

scholarly journals The Challenges of Low Voltage Distribution System State Estimation—An Application Oriented Review

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5363
Author(s):  
István Táczi ◽  
Bálint Sinkovics ◽  
István Vokony ◽  
Bálint Hartmann
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Distribution Systems ◽  
Low Voltage ◽  
Early Stage ◽  
Renewable Energy Sources ◽  
General Structure ◽  
Theory And Practice ◽  
System State ◽  
Time Operation

Global trends such as the growing share of renewable energy sources in the generation mix, electrification, e-mobility, and the increasing number of prosumers reshape the electricity value chain, and distribution systems are necessarily affected. These systems were planned, developed, and operated as a passive structure for decades with low level of observability. Due to the increasing number of system states, real time operation planning and flexibility services are the key in transition to an active grid management. In this pathway, distribution system state estimation (DSSE) has a great potential, but the real demonstration of this technique is in an early stage, especially on low-voltage level. This paper focuses on the gap between theory and practice and summarizes the limits of low-voltage DSSE implementation. The literature and the main findings follow the general structure of a state estimation process (meter placement, bad data detection, observability, etc.) giving a more essential and traceable overview structure. Moreover, the paper provides a comprehensive mapping of the possible use-cases state estimation and evaluates 27 different experimental sites to conclude on the practical applicability aspects.

scholarly journals Short-Term Analysis of Distribution Systems with Wind Farms Using Multi Resolution Analysis Neural Networks

2012 ◽  
Vol 128 (1) ◽  
pp. 11-20
Author(s):  
Meisam Pourahmadi-Nakhli ◽  
Ali Reza Seifi
Keyword(s):  
Power Generation ◽  
Wind Speed ◽  
Distribution System ◽  
Distribution Systems ◽  
Load Flow ◽  
Analysis Tool ◽  
System State ◽  
State Variables ◽  
Short Term ◽  
Power Distribution System

Abstract Since wind power generation as a major input of the power distribution system strictly relies on wind speed, stochastic wind fluctuations challenge an accurate prediction of the power generation. In this paper, an enhancement on Artificial Neural Network-based predicting model has been used to predict the major input of the system. The correlation between a smooth-dilated wavelet and wind speed samples has been calculated to decompose wind series into resolutions in which there is more regular patterns to be approximated. This predicting scheme was validated on the real wind (generation) data as well as consumption level of a real system to give a short-term prediction of the system inputs. The unbalanced three-phase load flow as a robust analysis tool determines system state variables under these predicted inputs. The results indicate the high accuracy of the method in predicting the system state variables from 3 hours to a day in advance.

ADVANCED DISTRIBUTION SYSTEM STATE ESTIMATION IN MULTI‐AREA ARCHITECTURES

2020 ◽  
pp. 329-374
Author(s):  
Marco Pau ◽  
Paolo Attilio Pegoraro ◽  
Ferdinanda Ponci ◽  
Sara Sulis
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
System State

scholarly journals Full-Observable Three-Phase State Estimation Algorithm Applied to Electric Distribution Grids

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1327 ◽  
Author(s):  
Thiago Soares ◽  
Ubiratan Bezerra ◽  
Maria Tostes
Keyword(s):  
State Estimation ◽  
Real Time ◽  
Distribution Systems ◽  
Phase State ◽  
Reactive Power ◽  
Estimation Algorithm ◽  
Load Flow ◽  
Electrical Network ◽  
The Real ◽  
Three Phase

This paper proposes the development of a three-phase state estimation algorithm, which ensures complete observability for the electric network and a low investment cost for application in typical electric power distribution systems, which usually exhibit low levels of supervision facilities and measurement redundancy. Using the customers´ energy bills to calculate average demands, a three-phase load flow algorithm is run to generate pseudo-measurements of voltage magnitudes, active and reactive power injections, as well as current injections which are used to ensure the electrical network is full-observable, even with measurements available at only one point, the substation-feeder coupling point. The estimation process begins with a load flow solution for the customers´ average demand and uses an adjustment mechanism to track the real-time operating state to calculate the pseudo-measurements successively. Besides estimating the real-time operation state the proposed methodology also generates nontechnical losses estimation for each operation state. The effectiveness of the state estimation procedure is demonstrated by simulation results obtained for the IEEE 13-bus test network and for a real urban feeder.

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