Contingency Analysis of Complex Power System Using Active Power and Voltage Performance Index

2021 ◽  
pp. 387-400
Author(s):  
Raghvendra Tiwari ◽  
Anamika Gupta ◽  
S. Chatterji ◽  
Shivangi Shrivastava
Keyword(s):  
Power System ◽  
Performance Index ◽  
Active Power ◽  
Contingency Analysis ◽  
Complex Power ◽  
Voltage Performance

scholarly journals Contingency Analysis and Ranking of Kurdistan Region Power System Using Voltage Performance Index

2021 ◽  
Vol 5 (1) ◽  
pp. 73-79
Author(s):  
Ali Abdulqadir Rasool ◽  
Najimaldin M. Abbas ◽  
Kamal Sheikhyounis
Keyword(s):  
Power System ◽  
Transmission Lines ◽  
Performance Index ◽  
Large Scale ◽  
Flow Analysis ◽  
Severe Case ◽  
Load Flow ◽  
Kurdistan Region ◽  
Contingency Analysis ◽  
Voltage Performance

In this paper, analysis and ranking of single contingency due to the outage of transmission lines for a large scale power system of the Kurdistan Region (KR) are presented. Power System Simulator software (PSS®E33) is used to simulate the Kurdistan Region power system network and perform the contingency analysis for single line outage. This analysis is essential in order to predict and evaluate the voltage stability in case of contingency occurrence to know the most severe case and plan for managing it. All possible transmission line outages of the network are tested individually. After each branch disconnects, load flow analysis are applied by using Newton Raphson method then all bus voltages are recorded, and compared with them before the contingency. Voltage performance index is calculated for all possible contingencies to rank them according to their severity and determine the most severe contingency which is corresponding to the highest value of performance index. Also, the contingencies which cause load loss and amount of this load are observed.

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.

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 Analisis Aliran Daya dan Kualitas Daya Voltage Uprating 70 kV ke 150 kV Menggunakan Performance Index

2021 ◽  
Vol 8 (2) ◽  
pp. 6-10
Author(s):  
Muhammad Fahmi Hakim ◽  
Muhammad Marozi Effendi ◽  
Budi Eko Prasetyo
Keyword(s):  
Performance Index ◽  
Active Power ◽  
Initial Condition ◽  
Power Performance ◽  
Voltage Performance

Kebutuhan energi listrik semakin meningkat seiring dengan perkembangan beban. Adanya perkembangan beban menyebabkan arus pada saluran transmisi semakin besar sehingga profil tegangan menurun dan losses semakin besar khususnya pada saluran transmisi 70 kV. Sehingga diperlukan cara untuk menanggulangi masalah tersebut yaitu dengan mempertinggi level tegangan atau voltage uprating dari 70 kV menjadi 150 kV. Penelitian ini dilakukan pada sistem 67 bus di regional Jawa Timur subsistem Paiton-Grati. Terdapat 20 saluran transmisi 70 kV yang akan di-uprating ke 150 kV. Pemodelan sistem dan simulasi aliran daya saat kondisi sebelum (Initial Condition) dan sesudah uprating (Uprating Condition) menggunakan software ETAP. Selanjutnya menganalisis aliran daya dan kualitas daya berdasarkan profil tegangan dan losses saluran transmisi dari masing-masing kondisi. Serta menggunakan performance index untuk membandingkan performa dari Initial dan Uprating Condition dimana terdiri dari Voltage Performance Index (PIV) dan Active Power Performance Index (PIMW). Rata-rata fluktuasi tegangan saat Initial Condition adalah sebesar -3.17%, dimana terjadi kenaikan profil tegangan saat Uprating Condition menjadi sebesar -2.24% dengan selisih sebesar 0.93%. Losses saluran transmisi saat Initial Condition sebesar 4.253%, dimana terjadi penurunan losses saat Uprating Condition menjadi sebesar 3.917%. Sehingga selisih losses saluran transmisi antara Initial dan Uprating Condition sebesar 0.336%. Performance Index saat Initial Condition sebesar 0.18535 sedangkan saat Uprating Condition sebesar 0.15658, sehingga Uprating Condition memiliki performa yang lebih baik.

scholarly journals Risk Assessment of Circuit Breakers Using Influence Diagrams with Interval Probabilities

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 737
Author(s):  
Jelena D. Velimirovic ◽  
Aleksandar Janjic
Keyword(s):  
Power System ◽  
Predictive Modelling ◽  
Optimal Time ◽  
Influence Diagrams ◽  
Circuit Breakers ◽  
Interval Probability ◽  
Complex Power ◽  
Interval Width ◽  
Credal Sets ◽  
The One

This paper deals with uncertainty, asymmetric information, and risk modelling in a complex power system. The uncertainty is managed by using probability and decision theory methods. More specifically, influence diagrams—as extended Bayesian network functions with interval probabilities represented through credal sets—were chosen for the predictive modelling scenario of replacing the most critical circuit breakers in optimal time. Namely, based on the available data on circuit breakers and other variables that affect the considered model of a complex power system, a group of experts was able to assess the situation using interval probabilities instead of crisp probabilities. Furthermore, the paper examines how the confidence interval width affects decision-making in this context and eliminates the information asymmetry of different experts. Based on the obtained results for each considered interval width separately on the action to be taken over the considered model in order to minimize the risk of the power system failure, it can be concluded that the proposed approach clearly indicates the advantages of using interval probability when making decisions in systems such as the one considered in this paper.

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