Algorithm development for Power System Contingency screening and ranking using Voltage-Reactive Power Performance Index

2016 ◽  
Author(s):  
Ernest F. Dela Cruz ◽  
Alex N. Mabalot ◽  
Raymond C. Marzo ◽  
Michael C. Pacis ◽  
John Heinrich S. Tolentino
Keyword(s):  
Power System ◽  
Performance Index ◽  
Reactive Power ◽  
Power Performance ◽  
Algorithm Development ◽  
Contingency Screening

scholarly journals Principle Component Analysis Based Data Mining for Contingency Analysis on IEEE 30 Bus Power System

2019 ◽  
Vol 9 (2) ◽  
pp. 878-882
Keyword(s):  
Data Mining ◽  
Power System ◽  
Performance Index ◽  
Data Transformation ◽  
Component Analysis ◽  
Support Vector ◽  
Power Performance ◽  
Contingency Analysis ◽  
Transformation Technique ◽  
Bus System

This Paper is an attempt to develop a Data Mining tool for the contingency of the power system. By mining the big data in the power system and analyzing the early detection of the contingency in the power system a larger cost cutting can be planned. As Mining would reduce the computational complexity of the contingency analysis this attempt would lead to reduction in the hardware use. This paper uses Multiclass Relevance Vector Machine(MCRVM) and Multiclass Support vector machine(MCSVM) in order to mine the data which include the voltage, power generated , power angles , power demand in different lines of the power system. The Data mining would need a data transformation technique, which would reduce the dimensionality of the data introduced for mining. The combination of Data cleansing and the Principal Component Analysis would act as the data transformation technique in this paper. A Matlab based simulation is carried using the IEEE 30 bus system for the contingency analysis by incorporating the loading risk assessment strategy using the Multiclass SVM and RVM and the results are compared and the outputs are tabulated. Active power performance index and the reactive power performance index are used in contingency analysis of the IEEE 30 bus system thus used and the accuracy of classification and the speed of classification with the different methods and the contingency rankings are found and displayed.

scholarly journals Development of an Intelligent Voltage Control System for Bulk Power Systems

2021 ◽  
Vol 11 (19) ◽  
pp. 9233
Author(s):  
Heungjae Lee ◽  
Wonkun Yu ◽  
Junghyun Oh ◽  
Hyungsuk Kim ◽  
Jinyoung Kim
Keyword(s):  
Control System ◽  
Expert System ◽  
Power Systems ◽  
Power System ◽  
Performance Index ◽  
Reactive Power ◽  
Voltage Control ◽  
Searching Strategy ◽  
Space Modeling ◽  
Bulk Power

As modern power systems become large and complicated, an automated voltage and reactive power control system is required in most developed countries due to the remarkable recent progress in computer networks and information technology. To date, voltage control has depended on human operators in the Korean power system. Accordingly, this paper proposes a universal intelligent voltage control system for bulk power systems based on sensitivity analysis and a main expert system. A detailed state space modeling technique is discussed, and an effective performance index is proposed to accelerate the searching performance of the expert system. As the searching strategy is an important factor for the speed of the expert system, the least-first search algorithm is applied using this performance index. The proposed system has been applied to the Korean power system, showing promising results.

scholarly journals Enhancement of Voltage Stability Through Optimal Placement of TCSC

2012 ◽  
pp. 151-159
Author(s):  
Renu Yadav ◽  
Sarika Varshney ◽  
Laxmi Srivastava
Keyword(s):  
Power System ◽  
Voltage Stability ◽  
Reactive Power ◽  
Stability Limit ◽  
Stability Index ◽  
Optimal Placement ◽  
Total System ◽  
Stressed Condition ◽  
Power Performance ◽  
Voltage Instability

The increase in power demand has forced the power system to operate closer to its stability limit. Voltage instability and line overloading have become challenging problems due to the strengthening of power system by various means. The nature of voltage stability can be analyzed by the production, transmission and consumption of reactive power. One of the major causes of voltage instability is the reactive power unbalancing which occurs in stressed condition of power system. Flexible AC transmission system (FACTS) devices play an important role in improving the performance of a power system, but these devices are very costly and hence need to be placed optimally in power system. FACTS device like thyristor controlled series compensator (TCSC) can be employed to reduce the flows in heavily loaded lines, resulting in a low system loss and improved stability of network. In this paper, a method based on line stability index, real power performance index and reduction of total system VAR power losses has been proposed to decide the optimal location of TCSC. The effectiveness of the proposed method is demonstrated on IEEE 30-bus power system.

scholarly journals Development and Application of Probabilistic Performance Index for Ranking N-1 Contingencies

2021 ◽  
Vol 6 (5) ◽  
pp. 63-69
Author(s):  
Saidu Y. Musa ◽  
Monday A. Madaki ◽  
Jinkai Haruna
Keyword(s):  
Power Systems ◽  
Power System ◽  
Performance Index ◽  
Electrical Power ◽  
Power Performance ◽  
Contingency Analysis ◽  
Electrical Power Systems ◽  
Contingency Ranking ◽  
Voltage Performance

Contingency analysis and ranking are important tasks in modern electrical power systems which aim at keeping the power system secure, reliable, and stable. N-1 contingency is the loss of any one component of power system and is obviously the most frequent contingency in power system. Contingency ranking has most often been done using deterministic indices which can be either active power performance index (PIP), voltage performance index (PIV) or the overall performance index (PI). Power system contingencies are ranked based on the calculated Performance index for each contingency. Ranking is from the contingency with the highest performance index first and proceeds in a descending manner which corresponds to the most severe to the least severe contingency. Due to the fact that Contingencies are unpredictable events, researchers of recent have suggested the inclusion of the probability of the occurrence of a contingency in its ranking index. This makes the index probabilistic. In this work, the development and application of probabilistic performance index for ranking N-1 contingencies is considered. It is illustrated with a case study.

Review of the Relationship between Harmonic and Parallel Capacitor Fault

2014 ◽  
Vol 1044-1045 ◽  
pp. 507-514
Author(s):  
Yu Qiang Ou ◽  
Le Feng Cheng ◽  
Jian Zhong Wen ◽  
Xuan Yu Qiu ◽  
Tao Yu
Keyword(s):  
Power System ◽  
Thermal Effect ◽  
Performance Index ◽  
Reactive Power ◽  
Reactive Power Compensation ◽  
Harmonic Suppression ◽  
Harmonic Pollution ◽  
Mechanism Of Interaction ◽  
And Performance ◽  
The Relationship

The parallel capacitors are the most important reactive power compensation devices in power system, while the power system harmonic pollution is becoming increasingly serious in recent years, the accident that caused capacitors fault and damage by overload harmonic always happened. Based on this background and summary of the existing research results, thermal effect and performance index of capacitors are introduced, and analyzed the mechanism of interaction between harmonic and capacitor, then the effect and harm of running capacitor under harmonic conditions are elaborated, finally summarized the feasible measures for harmonic suppression and protection of capacitor devices.

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