scholarly journals Stochastic Programming-Based Fault Diagnosis in Power Systems Under Imperfect and Incomplete Information

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2565 ◽  
Author(s):  
Huizhong Song ◽  
Ming Dong ◽  
Rongjie Han ◽  
Fushuan Wen ◽  
Md. Salam ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Stochastic Programming ◽  
Power Systems ◽  
Power System ◽  
Programming Approach ◽  
Chance Constrained Programming ◽  
Circuit Breakers ◽  
On Line ◽  
Protective Relays ◽  
Constrained Programming

When a fault occurs in a section or a component of a given power system, the malfunctioning of protective relays (PRs) and circuit breakers (CBs), and the false and missing alarms, may manifestly complicate the fault diagnosis procedure. It is necessary to develop a methodologically appropriate framework for this application. As a branch of stochastic programming, the well-developed chance-constrained programming approach provides an efficient way to solve programming problems fraught with uncertainties. In this work, a novel fault diagnosis analytic model is developed with the ability of accommodating the malfunctioning of PRs and CBs, as well as the false and/or missing alarms. The genetic algorithm combined with Monte Carlo simulations are then employed to solve the optimization model. The feasibility and efficiency of the developed model and method are verified by a real fault scenario in an actual power system. In addition, it is demonstrated by simulation results that the computation speed of the developed method meets the requirements for the on-line fault diagnosis of actual power systems.

An Analytic Model for Fault Diagnosis in Power Systems Considering Malfunctions of Protective Relays and Circuit Breakers

2010 ◽  
Vol 25 (3) ◽  
pp. 1393-1401 ◽  
Author(s):  
Wenxin Guo ◽  
Fushuan Wen ◽  
Gerard Ledwich ◽  
Zhiwei Liao ◽  
Xiangzhen He ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Power Systems ◽  
Analytic Model ◽  
Circuit Breakers ◽  
Protective Relays

Internet/Intranet Based Remote Condition Monitoring and Fault Diagnosis Scheme and System for Steam Turboset

2005 ◽  
Vol 293-294 ◽  
pp. 365-372 ◽  
Author(s):  
Yong Yong He ◽  
Wen Xiu Lu ◽  
Fu Lei Chu
Keyword(s):  
Fault Diagnosis ◽  
Power System ◽  
Electric Power ◽  
Condition Monitoring ◽  
Economic Benefits ◽  
Electric Power System ◽  
The Internet ◽  
Time Data ◽  
On Line ◽  
Line Condition

The steam turboset is the key equipment of the electric power system. Thus, it is very important and necessary to monitor and diagnose the running condition and the faults of the steam turboset for the safe and normal running of the electric power system. In this paper, the Internet/Intranet based remote condition monitoring and fault diagnosis scheme is proposed. The corresponding technique and methods are discussed in detail. And a real application system is developed for the 300MW steam turboset. In this scheme, the system is built on the Internet/Intranet and the Client/Server construction and Web/Server model are adopted. The proposed scheme can guarantee real-time data acquisition and on-line condition analysis simultaneously. And especially, the remote condition monitoring and fault diagnosis can be implemented effectively. The developed system has been installed in a power plant of China. And the plant has obtained great economic benefits from it.

Fuzzy Logic Based Approach for Power System Fault Section Analysis

Fuzzy Systems ◽  
2017 ◽  
pp. 987-1002
Author(s):  
Neeti Dugaya ◽  
Smita Shandilya
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Power System ◽  
Fuzzy Expert System ◽  
Circuit Breakers ◽  
Membership Grade ◽  
Protective Relays ◽  
Basic Network ◽  
The One ◽  
Maximum Selection

In this chapter, a fuzzy expert system is developed to assist the operators in fault detection. It requires much less memory to store the database (power system topology and the post fault status of circuit breakers and protective relays). The fuzzy expert system identifies two basic network section sets, Shealthy for the healthy sub network and Sisland for the fault islands, using the post fault status of circuit breakers and relays. It then calculates membership function for each possible fault section. The objective of this calculation is to determine the likelihood of each candidate fault section as the actual fault section. Moreover membership functions provide a convenient means of ranking among possible (or candidate) fault sections, and are the most important factors in decision making. During decision making, the most possible fault section is determined by maximum selection method. In this method most possible fault section is the one which is having highest membership grade. MATLAB code for the proposed scheme is developed and the results obtained in four cases for a power- system network.

scholarly journals Optimal Re-Dispatching of Cascaded Hydropower Plants Using Quadratic Programming and Chance-Constrained Programming

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1604
Author(s):  
Krešimir Fekete ◽  
Srete Nikolovski ◽  
Zvonimir Klaić ◽  
Ana Androjić
Keyword(s):  
Power System ◽  
Wind Power ◽  
Power Plants ◽  
Chance Constrained Programming ◽  
Transmission Network ◽  
Wind Power Plants ◽  
Hydropower Plants ◽  
Optimization Stage ◽  
Optimization Methodology ◽  
Constrained Programming

Stochastic production from wind power plants imposes additional uncertainty in power system operation. It can cause problems in load and generation balancing in the power system and can also cause congestion in the transmission network. This paper deals with the problems of congestion in the transmission network, which are caused by the production of wind power plants. An optimization model for corrective congestion management is developed. Congestions are relieved by re-dispatching several cascaded hydropower plants. Optimization methodology covers the optimization period of one day divided into the 24 segments for each hour. The developed optimization methodology consists of two optimization stages. The objective of the first optimization stage is to obtain an optimal day-ahead dispatch plan of the hydropower plants that maximizes profit from selling energy to the day-ahead electricity market. If such a dispatch plan, together with the wind power plant production, causes congestion in the transmission network, the second optimization stage is started. The objective of the second optimization stage is the minimization of the re-dispatching of cascaded hydropower plants in order to avoid possible congestion. The concept of chance-constrained programming is used in order to consider uncertain wind power production. The first optimization stage is defined as a mixed-integer linear programming problem and the second optimization stage is defined as a quadratic programming (QP) problem, in combination with chance-constrained programming. The developed optimization model is tested and verified using the model of a real-life power system.

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