Linear State Estimation Based on Measured Quantity Transformation and Calculation of Transmission Losses

2014 ◽  
Vol 672-674 ◽  
pp. 1027-1031
Author(s):  
Gui Hua Lin ◽  
Tao Wang ◽  
Yu Ying Wang
Keyword(s):  
State Estimation ◽  
Transmission Loss ◽  
Information Matrix ◽  
Test System ◽  
Measured Quantity ◽  
Voltage Measurement ◽  
Static State ◽  
Calculation Results ◽  
Linear State ◽  
Nodal Voltage

A linear static state estimation on measured quantity transformation is proposed in this paper utilizing the high precision measurements of WAMS. Using transformation of measured quantity, the current measurements of WAMS are transformed into equivalent voltage measurement, and after simplification a constant real number information matrix is obtained, so the decoupling calculation of real part and imaginary part of nodal voltage is realized. The calculation has many advantages such as fast proposed algorithm, high estimation precision and better numerical stability. Finally, the algorithm is applied to the calculation of network loss in theory, the calculation accuracy of transmission loss is improved. The calculation results of IEEE 30-bus test system validate the effectiveness of the proposed method.

scholarly journals Methodology for Implementing the State Estimation in Renewable Energy Management Systems

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2301
Author(s):  
Yun-Sung Cho ◽  
Yun-Hyuk Choi
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
State Estimation ◽  
Measurement Errors ◽  
Large Scale ◽  
Test System ◽  
The State ◽  
Inner Function ◽  
Outer Function ◽  
Bad Data

This paper describes a methodology for implementing the state estimation and enhancing the accuracy in large-scale power systems that partially depend on variable renewable energy resources. To determine the actual states of electricity grids, including those of wind and solar power systems, the proposed state estimation method adopts a fast-decoupled weighted least square approach based on the architecture of application common database. Renewable energy modeling is considered on the basis of the point of data acquisition, the type of renewable energy, and the voltage level of the bus-connected renewable energy. Moreover, the proposed algorithm performs accurate bad data processing using inner and outer functions. The inner function is applied to the largest normalized residue method to process the bad data detection, identification and adjustment. While the outer function is analyzed whether the identified bad measurements exceed the condition of Kirchhoff’s current law. In addition, to decrease the topology and measurement errors associated with transformers, a connectivity model is proposed for transformers that use switching devices, and a transformer error processing technique is proposed using a simple heuristic method. To verify the performance of the proposed methodology, we performed comprehensive tests based on a modified IEEE 18-bus test system and a large-scale power system that utilizes renewable energy.

Static State Estimation with Inequality Constraints in a Complementarity Framework for Detecting Infeasible Operation States

2021 ◽  
Vol 195 ◽  
pp. 107129
Author(s):  
R. Martínez-Parrales ◽  
O. Romay ◽  
C.R. Fuerte-Esquivel ◽  
B.A. Alcaide-Moreno
Keyword(s):  
State Estimation ◽  
Inequality Constraints ◽  
Static State

scholarly journals Net Load Redistribution Attacks on Nodal Voltage Magnitude Estimation in AC Distribution Networks.pdf

2020 ◽  
Author(s):  
hang zhang ◽  
Bo Liu ◽  
Hongyu Wu
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Local Network ◽  
Network Information ◽  
False Data Injection ◽  
Load Redistribution ◽  
System Operator ◽  
False Data Injection Attack ◽  
Nodal Voltage ◽  
Net Load

This paper presents a false data injection attack against AC state estimation in distribution system. Such attack is called net local load redistribution attacks (NRLA) which is aimed at misleading the distribution system operator to observe illusory under-voltage issues in the AC state estimation. The attack vector is constructed with only local network information.<br>

scholarly journals Net Load Redistribution Attacks on Nodal Voltage Magnitude Estimation in AC Distribution Networks.pdf

2020 ◽  
Author(s):  
hang zhang ◽  
Bo Liu ◽  
Hongyu Wu
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Local Network ◽  
Network Information ◽  
False Data Injection ◽  
Load Redistribution ◽  
System Operator ◽  
False Data Injection Attack ◽  
Nodal Voltage ◽  
Net Load

This paper presents a false data injection attack against AC state estimation in distribution system. Such attack is called net local load redistribution attacks (NRLA) which is aimed at misleading the distribution system operator to observe illusory under-voltage issues in the AC state estimation. The attack vector is constructed with only local network information.<br>

Static State Estimation

2010 ◽  
pp. 45-78
Author(s):  
Soliman Abdel-hady Soliman ◽  
Ahmad M. Al-Kandari
Keyword(s):  
State Estimation ◽  
Static State

State Estimation of Active Distribution Networks

2020 ◽  
pp. 270-308
Author(s):  
Razan Al Rhia ◽  
Haithm Daghrour
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Distribution Systems ◽  
Operating Performance ◽  
Distribution Networks ◽  
Dynamic State ◽  
State Estimator ◽  
Static State ◽  
Active Distribution Networks

Monitoring and controlling the electrical distribution system for real time is becoming very important to improve its operating performance after transition to active distribution systems. So, many sensors are needed to monitor all parts in the systems. But if sensors are installed at all buses, investment cost becomes huge. To reduce the number of sensors, state estimation approach can be used to estimate the voltage of buses, which do not have sensors. State Estimation (SE) algorithms are broadly classified into Static State Estimator (SSE) and Dynamic State Estimator (DSE). This chapter classifies most algorithms used in active distribution networks, also State estimation in unbalanced distribution systems, and Role of PMU in Distribution System State Estimation.

Enhancement of low-voltage ride-through capability of permanent magnet synchronous generator wind turbine by applying state-estimation technique

2020 ◽  
Vol 39 (2) ◽  
pp. 363-377
Author(s):  
Sayyed Ali Akbar Shahriari ◽  
Mohammad Mohammadi ◽  
Mahdi Raoofat
Keyword(s):  
Wind Turbine ◽  
State Estimation ◽  
Low Voltage ◽  
Synchronous Generator ◽  
Estimation Algorithm ◽  
Voltage Measurement ◽  
Content Type ◽  
Low Voltage Ride Through ◽  
Speed Sensor ◽  
Control Scheme

Purpose The purpose of this study is to propose a control scheme based on state estimation algorithm to improve zero or low-voltage ride-through capability of permanent magnet synchronous generator (PMSG) wind turbine. Design/methodology/approach Based on the updated grid codes, during and after faults, it is necessary to ensure wind energy generation in the network. PMSG is a type of wind energy technology that is growing rapidly in the network. The control scheme based on extended Kalman filter (EKF) is proposed to improve the low voltage ride-through (LVRT) capability of the PMSG. In the control scheme, because the state estimation algorithm is applied, the requirement of DC link voltage measurement device and generator speed sensor is removed. Furthermore, by applying this technique, the extent of possible noise on measurement tools is reduced. Findings In the proposed control scheme, zero or low-voltage ride-through capability of PMSG is enhanced. Furthermore, the requirement of DC link voltage measurement device and generator speed sensor is removed and the amount of possible noise on the measurement tools is minimized. To evaluate the ability of the proposed method, four different cases, including short and long duration short circuit fault close to PMSG in the presence and absence of measurement noise are studied. The results confirm the superiority of the proposed method. Originality/value This study introduces EKF to enhance LVRT capability of a PMSG wind turbine.

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