Implementation and comparison of state estimation techniques for optimal placement of PMU's in interconnected power networks

2013 ◽  
Author(s):  
G.N. Kumar ◽  
M.S. Kalavathi
Keyword(s):  
State Estimation ◽  
Optimal Placement ◽  
Power Networks ◽  
Estimation Techniques

Optimal Placement of Phasor Measurement Unit based on Bus Observation Reliability

2019 ◽  
Vol 12 (1) ◽  
pp. 68-78
Author(s):  
Van-Khoi Tran ◽  
He-Sheng Zhang
Keyword(s):  
State Estimation ◽  
Optimal Placement ◽  
Computational Time ◽  
Measurement Unit ◽  
Power Network ◽  
Power Networks ◽  
Placement Problem ◽  
Meter Placement ◽  
Optimal Meter Placement ◽  
Bad Data

Background: Meter placement, which can determine sufficient measurements for the successful estimate implementation, plays a crucial role for state estimation of the power system. For ensuring the robustness of state estimation against bad data in measurements, fail data from attackers and loss of measures; the measurement redundancies are necessary. Methods: This paper proposes a new method based on the observation reliability criteria of the bus to solve the optimal meter placement problem in the power network. The goal of this work is to enhance the effect of measurement redundancies and achieve any desired rates of robustness for state estimation. Regarding the practicability of the method, some practical aspects, such as zero injection bus, the presence of conventional measurements, the change of network's topology, or computational time, were also considered. Result: The simulations on IEEE RTS 96, 14-bus, 30-bus, 57-bus and 2383-bus test systems were tested for evaluating the effect of the proposed approach. The simulated results showed that the proposed method is flexible, practical and feasible in solving the meter placement problem for real power networks. Conclusion: Based on the observation reliability of buses we can enhance the effect of redundancy significantly and achieve any desired robust rates of state estimation.

Comparison of state estimation techniques for nonlinear hybrid systems

SIMULATION ◽  
2016 ◽  
Vol 92 (4) ◽  
pp. 357-376
Author(s):  
Gan Zhou ◽  
Gautam Biswas ◽  
Wenfeng Zhang ◽  
Qi Zhao ◽  
Wenquan Feng
Keyword(s):  
State Estimation ◽  
Hybrid Systems ◽  
Estimation Techniques ◽  
Nonlinear Hybrid

Optimal Placement of PMUs Using State Estimation Constraints

2021 ◽  
Author(s):  
Arpit Kumar ◽  
Deep Kiran ◽  
Narayana Prasad Padhy ◽  
Subham Ghosal
Keyword(s):  
State Estimation ◽  
Optimal Placement

Dynamic state estimation for power networks using distributed MAP technique

Automatica ◽  
2016 ◽  
Vol 73 ◽  
pp. 27-37 ◽  
Author(s):  
Yibing Sun ◽  
Minyue Fu ◽  
Bingchang Wang ◽  
Huanshui Zhang ◽  
Damián Marelli
Keyword(s):  
State Estimation ◽  
Dynamic State ◽  
Power Networks ◽  
Dynamic State Estimation

scholarly journals Optimal Placement of Distributed Energy Storage in Power Networks

2016 ◽  
Vol 61 (2) ◽  
pp. 416-429 ◽  
Author(s):  
Christos Thrampoulidis ◽  
Subhonmesh Bose ◽  
Babak Hassibi
Keyword(s):  
Energy Storage ◽  
Optimal Placement ◽  
Power Networks ◽  
Distributed Energy ◽  
Distributed Energy Storage

An efficient multi-objective based squirrel search optimization for optimal placement of FACTS devices

2021 ◽  
pp. 1-19
Author(s):  
G. Adline Priya ◽  
C. Sundar ◽  
S. Pavalarajan
Keyword(s):  
Control System ◽  
Optimal Placement ◽  
Objective Functions ◽  
Power Networks ◽  
Multi Objective ◽  
Facts Devices ◽  
Search Optimization ◽  
Intellectual Control ◽  
Flexible Alternating Current Transmission ◽  
Transmission Capability

The adoption of a new transmission line is extremely complex because of its socio-economic problems such as environmental clearances. Thus, there is a prominence of better utility over available transmission infrastructure. The Flexible Alternating Current Transmission System (FACTS) devices can offer transmission capability enhancement, power compensation, and stability as well as voltage improvement. However, the FACTS devices have a higher penetration impact of wind generation for the dynamic stability of power networks. In this work, an efficient Intellectual Control system has been proposed to stabilize the FACTS devices placement. The Squirrel Search Optimization is adapted with an intellectual control system to enhance the steady-state voltage stability of FACTS devices. The proposed system has been evaluated with the assist of IEEE 14 and 26 standard bus systems to handle the multi-objective functions like cost, reduction in power loss, reducing risks, and maximizing user’s benefit. These multi-objective functions facilitate to attain the optimal placement and load flows at various sites. The simulation can be carried out with MATLAB/SIMULINK environment and the results manifest that the proposed system outperforms well when compared with existing approaches.

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