scholarly journals Security-level classification based on power system partitioning

2019 ◽  
Vol 13 (5) ◽  
pp. 703-709
Author(s):  
Zhigang Lu ◽  
Boxuan Zhao ◽  
Liangce He ◽  
Dan Zhang ◽  
Jiangfeng Zhang
Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 148
Author(s):  
Lili Wu ◽  
Ganesh K. Venayagamoorthy ◽  
Jinfeng Gao

Power system steady-state security relates to its robustness under a normal state as well as to withstanding foreseeable contingencies without interruption to customer service. In this study, a novel cellular computation network (CCN) and hierarchical cellular rule-based fuzzy system (HCRFS) based online situation awareness method regarding steady-state security was proposed. A CCN-based two-layer mechanism was applied for voltage and active power flow prediction. HCRFS block was applied after the CCN prediction block to generate the security level of the power system. The security status of the power system was visualized online through a geographic two-dimensional visualization mechanism for voltage magnitude and load flow. In order to test the performance of the proposed method, three types of neural networks were embedded in CCN cells successively to analyze the characteristics of the proposed methodology under white noise simulated small disturbance and single contingency. Results show that the proposed CCN and HCRFS combined situation awareness method could predict the system security of the power system with high accuracy under both small disturbance and contingencies.


2019 ◽  
Vol 13 (12) ◽  
pp. 2597-2610 ◽  
Author(s):  
Mohammad Hossein Rezaeian Koochi ◽  
Saeid Esmaeili ◽  
Gerard Ledwich

Electricity ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 37-59
Author(s):  
Omar H. Abdalla ◽  
Hady H. Fayek ◽  
Abdel Ghany M. Abdel Ghany

This paper presents techniques for the application of tertiary and secondary voltage control through the use of intelligent proportional integral derivative (PID) controllers and the wide area measurement system (WAMS) in the IEEE 39 bus system (New England system). The paper includes power system partitioning, pilot bus selection, phasor measurement unit (PMU) placement, and optimal secondary voltage control parameter calculations to enable the application of the proposed voltage control. The power system simulation and analyses were performed using the DIgSILENT and MATLAB software applications. The optimal PMU placement was performed in order to apply secondary voltage control. The tertiary voltage control was performed through an optimal power flow optimization process in order to minimize the active power losses. Two different methods were used to design the PID secondary voltage control, namely, genetic algorithm (GA) and neural network based on genetic algorithm (NNGA). A comparison of system performances using these two methods under different operating conditions is presented. The results show that NNGA secondary PID controllers are more robust than GA ones. The paper also presents a comparison between system performance with and without secondary voltage control, in terms of voltage deviation index and total active power losses. The graph theory is used in system partitioning, and sensitivity analysis is used in pilot bus selection, the results of which proved their effectiveness.


2011 ◽  
Vol 467-469 ◽  
pp. 1175-1181
Author(s):  
An Jia Mao ◽  
Jin He

Modern power system has been gradually developed into a complex system with the features of multi-level structure, multi-time scale, a variety of control parameters, wide-area, open, uncertainties, non-autonomous and it is difficult to indicate the security level of power system by a single index. Therefore, power system security assessment based on theory of comprehensive assessment is developed rapidly in recent years. However, traditional comprehensive assessment method considers few about the balance of the indices, when there are great differences between the value of the indices, it is easy to take place the phenomenon that the small indices has been “submerged”, which will influence the rationality of the comprehensive evaluation result. In this paper, a comprehensive assessment model which considers the influence of the index balance is established. By introducing the balance coefficient, the model can amend the original judgment matrix and the weight obtained by traditional AHP method. Since the coordinated and balanced situation of the indices have been reflected in the evaluation process, the results of the assessment model proposed in this paper has more scientific nature and more credibility. Finally, an example is provided to validate the model in this paper.


2012 ◽  
Vol 433-440 ◽  
pp. 2445-2450
Author(s):  
Zhu Fang ◽  
Hai Tao Liu

This paper describes a practical method of Online Risk Assessment (ORA) on urban power system. It includes a set of models for online risk analysis of urban power system, the Online Probabilistic Risk Indices (OPRI) & their arithmetic, and the models for computing parameters varying with operating conditions which are used for Probabilistic Risk Indices calculation. The ability of the method can provide operators in control center the near term identification on security level, weak point, and riskiest event of urban power system. Further more, the system architecture of Online Risk Assessment (ORA) is presented, which is the preparation of software implementation of Online Risk Assessment System (ORAS) on Urban Power System


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