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Preventive and Emergency Control of Power System for Transient Stability Enhancement
Shahbaz A. Siddiqui,Kusum Verma,K. R. Niazi,Manoj Fozdar 대한전기학회 2015 Journal of Electrical Engineering & Technology Vol.10 No.1
This paper presents preventive and emergency control measures for on line transient stability (security) enhancement. For insecure operating state, generation rescheduling based on a real power generation shift factor (RPGSF) is proposed as a preventive control measure to bring the system back to secure operating state. For emergency operating state, two emergency control strategies namely generator shedding and load shedding have been developed. The proposed emergency control strategies are based on voltage magnitudes and rotor trajectories data available through Phasor Measurement Units (PMUs) installed in the systems. The effectiveness of the proposed approach has been investigated on IEEE-39 bus test system under different contingency and fault conditions and application results are presented.
Preventive and Emergency Control of Power System for Transient Stability Enhancement
Siddiqui, Shahbaz A.,Verma, Kusum,Niazi, K.R.,Fozdar, Manoj The Korean Institute of Electrical Engineers 2015 Journal of Electrical Engineering & Technology Vol.10 No.1
This paper presents preventive and emergency control measures for on line transient stability (security) enhancement. For insecure operating state, generation rescheduling based on a real power generation shift factor (RPGSF) is proposed as a preventive control measure to bring the system back to secure operating state. For emergency operating state, two emergency control strategies namely generator shedding and load shedding have been developed. The proposed emergency control strategies are based on voltage magnitudes and rotor trajectories data available through Phasor Measurement Units (PMUs) installed in the systems. The effectiveness of the proposed approach has been investigated on IEEE-39 bus test system under different contingency and fault conditions and application results are presented.
New Data Driven Scheme for Real-Time Power System Transient Stability Assessment
Shrivastava Divya Rishi,Siddiqui Shahbaz A.,Verma Kusum 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.3
A computational efficient and precise approach for real-time power system transient stability assessment (TSA), with post disturbance synchronized data is proposed in this paper. An empirical wavelet transform (EWT), Teager Kaiser energy changes (TKE) and Random Forest (RF) based new scheme is proposed to assess TSA. Based on the generator bus frequency and angles, a novel Robust Transient Stability Index (RTSI) is proposed to capture real-time status of power network. The EWT is utilized to decompose the proposed multi-component index into various intrinsic mode functions (modes). Subsequently, instantaneous energy change within each mode is calculated using Teager–Kaiser energy operator (TKEO). The energy changes in each mode defines decision boundary between transient stable and unstable operating scenario. Finally, for each mode, standard deviation of these energy changes is obtained to measure the variations in energy change about mean value. The Random Forest classification scheme is developed to obtain the TSA in real-time. The developed classifier predicts TSA using standard deviation of these energy changes. Simulation results and comparison with relevance minimum redundancy arithmetic, deep imbalanced learning framework and improved support vector machine methods demonstrates capability of the proposed scheme.
K, Narayanan.,Siddiqui, Shahbaz A.,Fozdar, Manoj The Korean Institute of Electrical Engineers 2016 Journal of Electrical Engineering & Technology Vol.11 No.3
The present trend of increasing the penetration levels of Distributed Generator (DG) in the distribution network has made the issue of Islanding crucial for the reliable operation of the network. The islanding, if not detected early may lead to the collapse of the system as it can drive the distribution system to the cascaded failure. In this paper, an extensive study of the effect of DG placement and sizing is performed by dividing the system into different zones to obtain a reduced effect of islanding. The siting and sizing of DG is carried out to improve the overall voltage profile or/and reduction in active power loss using two stage Genetic Algorithm (GA). In the first stage a basic knockout selection is considered and the best population is taken for next stage, where roulette selection for crossover and mutation is performed for optimal placement and sizing of DGs. The effect of the islanding, due to load variations is reduced by optimal siting and sizing of DG. The effectiveness of the proposed scheme is tested on the IEEE 33 and 69 radial bus systems and the results obtained are promising.
Narayanan. K,Shahbaz A. Siddiqui,Manoj Fozdar 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.3
The present trend of increasing the penetration levels of Distributed Generator (DG) in the distribution network has made the issue of Islanding crucial for the reliable operation of the network. The islanding, if not detected early may lead to the collapse of the system as it can drive the distribution system to the cascaded failure. In this paper, an extensive study of the effect of DG placement and sizing is performed by dividing the system into different zones to obtain a reduced effect of islanding. The siting and sizing of DG is carried out to improve the overall voltage profile or/and reduction in active power loss using two stage Genetic Algorithm (GA). In the first stage a basic knockout selection is considered and the best population is taken for next stage, where roulette selection for crossover and mutation is performed for optimal placement and sizing of DGs. The effect of the islanding, due to load variations is reduced by optimal siting and sizing of DG. The effectiveness of the proposed scheme is tested on the IEEE 33 and 69 radial bus systems and the results obtained are promising.