“…The sole objective of these techniques is to either minimize cost and error or maximize profit or both for optimal design. There are many optimization techniques reported in the literature like Particle Swarm Algorithm (PSO) [2], Genetic Algorithm (GA) [4], Differential Evolution (DE) [3], Artificial Intelligence (AI) [7] etc. These can be either classical that are derived from complex mathematical calculations or heuristic that gives very accurate results in large problems.…”
Section: B Zeigler Nichols Methodsmentioning
confidence: 99%
“…However, for electricity transmission over long distances and increased loading conditions, only use of PSS for mitigation of power system oscillation is sometimes not enough. For better utilization and reliability of existing transmission lines, improved power flow, reduction of sub synchronous resonance and most importantly enhanced system stability performance FACTS devices are being widely used in power systems [4]. Thus if FACTS devices are used jointly with PSS, it improves the compensation of reactive power, power transfer capability and provides enhancement in the transient and dynamic stability to a greater extent.…”
With the evolution of electrical networks, the complexity and non linearity of modern power systems has enhanced exponentially. In order to reduce these potentially harmful oscillations, power system stabilizers (PSS) are introduced in generators of modern power systems. The PSS brings the system back to a stable and balanced state and re-establishes the pre-fault performance of the system after removal of disturbance and restoration of line. However utilization of PSS in certain cases of increased transmission line loading and other significant faults is not very effective and is rather time consuming. These days to acquire better control and quality of power, FACTS devices are being commonly used in large power systems. When SVC, a versatile FACTS device is used simultaneously with PSS, there is not only improvement in power transfer capability and controllability but also a distinct enhancement in power system stability. In order to increase the performance of the conventional PID controller of the PSS, it is tuned with a very simple and quick tuning method called Zeigler Nichols (ZN) which provides very fast elimination to disturbances in power system. However the conventional and ZN based PID controllers are confined only to linear control of power system. To further enhance the dynamic tuning process in order to obtain much faster and better transient as well as dynamic stability, a very adaptable and robust nature inspired technique of Flower Pollination Algorithm (FPA) is used to tune the ZN based PID controller. To realise the system transient stability for the conventional and proposed method, root locus and total harmonic distortion techniques have been adopted. The results ultimately reveal the efficacy and productiveness of FP based ZN- PID in successfully damping out inter area oscillations thus reducing the harmonics and improving overall stability in power systems as compared to other tuning methods
“…The sole objective of these techniques is to either minimize cost and error or maximize profit or both for optimal design. There are many optimization techniques reported in the literature like Particle Swarm Algorithm (PSO) [2], Genetic Algorithm (GA) [4], Differential Evolution (DE) [3], Artificial Intelligence (AI) [7] etc. These can be either classical that are derived from complex mathematical calculations or heuristic that gives very accurate results in large problems.…”
Section: B Zeigler Nichols Methodsmentioning
confidence: 99%
“…However, for electricity transmission over long distances and increased loading conditions, only use of PSS for mitigation of power system oscillation is sometimes not enough. For better utilization and reliability of existing transmission lines, improved power flow, reduction of sub synchronous resonance and most importantly enhanced system stability performance FACTS devices are being widely used in power systems [4]. Thus if FACTS devices are used jointly with PSS, it improves the compensation of reactive power, power transfer capability and provides enhancement in the transient and dynamic stability to a greater extent.…”
With the evolution of electrical networks, the complexity and non linearity of modern power systems has enhanced exponentially. In order to reduce these potentially harmful oscillations, power system stabilizers (PSS) are introduced in generators of modern power systems. The PSS brings the system back to a stable and balanced state and re-establishes the pre-fault performance of the system after removal of disturbance and restoration of line. However utilization of PSS in certain cases of increased transmission line loading and other significant faults is not very effective and is rather time consuming. These days to acquire better control and quality of power, FACTS devices are being commonly used in large power systems. When SVC, a versatile FACTS device is used simultaneously with PSS, there is not only improvement in power transfer capability and controllability but also a distinct enhancement in power system stability. In order to increase the performance of the conventional PID controller of the PSS, it is tuned with a very simple and quick tuning method called Zeigler Nichols (ZN) which provides very fast elimination to disturbances in power system. However the conventional and ZN based PID controllers are confined only to linear control of power system. To further enhance the dynamic tuning process in order to obtain much faster and better transient as well as dynamic stability, a very adaptable and robust nature inspired technique of Flower Pollination Algorithm (FPA) is used to tune the ZN based PID controller. To realise the system transient stability for the conventional and proposed method, root locus and total harmonic distortion techniques have been adopted. The results ultimately reveal the efficacy and productiveness of FP based ZN- PID in successfully damping out inter area oscillations thus reducing the harmonics and improving overall stability in power systems as compared to other tuning methods
“…An optimal control strategy for the generator tripping of the wind-thermal bundled system is proposed, and a calculation method for the control amount of the generator tripping is given. Reference [10] introduced the PSS (power system stabilization) control link to improve the damping of the DFIG (double fed induction generator) grid-connected system, and improved the ability of double-fed wind farms to suppress small disturbances in the power system. In addition, many scholars have adopted different control methods in order to achieve the goal of improving or increasing the transient stability of the system [11][12][13][14], such as increasing the reactive power output capability of DFIG to improve the transient stability of the system with small interference power angle; Improve the transient stability of the system by perfecting the system topology and operation mode; improve the transient stability of the wind and fire bundling system by adopting the correct cutting machine control strategy; increase the deceleration area of the synchronous machine by DC power boost to improve the system transient State stability, etc.…”
Aiming at the low frequency oscillation and voltage drop caused by the wind-thermal bundled system transmitted to the load center across AC and DC lines, an adaptive sliding mode gain control method based on the structure decentralized control theory is proposed. On the basis of this method, a rotor-side adaptive terminal sliding mode controller for doubly-fed induction generator based on synchronous rotating coordinate system is designed. Based on RTDS, a real-time simulation platform for transient stability control of " wind-thermal bundled " transmission system was developed, and real-time simulation experiments were performed. Experimental results prove that the proposed method in this paper can effectively suppresses the frequency and voltage fluctuations of the system, significantly improve the transient stability of the system and enhance the robustness of the system during grid faults.
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