Power System Stability
S.K. Gupta; S.K. Mallik
Abstract
Due to the exponential increase in electricity demand, the power system is being operated at its stability limit. Due to the scarcity of natural resources, the generation can not be increased. Hence, there is always a possibility of voltage collapse in the system. The voltage collapse can be predicted ...
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Due to the exponential increase in electricity demand, the power system is being operated at its stability limit. Due to the scarcity of natural resources, the generation can not be increased. Hence, there is always a possibility of voltage collapse in the system. The voltage collapse can be predicted by a number of line stability indices available in the literature. The stress level of the power system can be mitigated by integrating renewable energy resources, such as wind and solar energy. Under heavy loading conditions, the transmission lines get stressful which can be predicted by line voltage stability indices. In this paper, three line stability indices, namely, Lmn, fast voltage stability index (FVSI), and Lqp are used to identify the most stressed lines under four types of system loadings for ensuring the corrective measure to avoid this voltage instability. These indices are being evaluated using continuation power flow. The system loadability and stability are enhanced by deploying the wind energy and solar PV generation at the most appropriate location. The integrated test system includes wind and solar energy systems at one of the most severe bus, and the performance of the system is confirmed by computing the power flow (PF) using the integrated test system's line indices and the power system analysis toolbox (PSAT). The proposed approach has been validated on IEEE 14 and 118-bus test systems in MATLAB/PSAT with the deployment of wind energy and solar energy at a suitable location.
S.K. Gupta; J.M. Tripathi; A. Ranjan; R. Kesh; A. Kumar; M. Ranjan; P. Sahu
Abstract
In the family of Flexible AC Transmission Systems (FACTS) controllers, the distributed power flow controller (DPFC) can control powerfully all the system's parameters like bus voltages magnitude, transmission angle, and line impedances with high redundancy and a wide range of compensation. In this paper, ...
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In the family of Flexible AC Transmission Systems (FACTS) controllers, the distributed power flow controller (DPFC) can control powerfully all the system's parameters like bus voltages magnitude, transmission angle, and line impedances with high redundancy and a wide range of compensation. In this paper, IEEE-14 bus IEEE-30 bus, and IEEE-118 bus systems are taken for the testing of the proposed approach. The optimal placement of the series and shunt converters of the DPFC is decided by the most critical bus and most critical line associated with that bus respectively. The sizing of the DPFC is decided based on the minimization of active power losses of the systems. The loss function is considered an objective function and the limits of the bus voltages magnitudes, bus voltage angles, thermal limits of the lines, and level of compensation of the DPFC are taken as the system's constraints. To solve complex problems in various fields, meta-heuristic optimizations are more popular. Among the meta-heuristic optimizers, the jellyfish optimizer is one that is based on the behavior of jellyfish in the ocean. The optimization of the objective function with constraints has been solved by time-varying acceleration coefficients (TVAC) particle swarm optimization (PSO), artificial bee colony (ABC), genetic algorithm (GA), and metaheuristic optimizer jellyfish methods. Results show that all the optimization techniques provide solutions with minimum losses. Among these methods, the solution of the jellyfish optimizer has the lowest active power losses, highest convergence rate, less number of iterations, and also takes less computational time.
