A new algorithm for analysis of SVC’s impact on bifurcations, chaos and voltage collapse in power systems

Subramanian, D. Padma; Devi, R. P. Kumudini; Saravanaselvan, R.

doi:10.1016/j.ijepes.2011.01.033

Cited by 15 publications

(11 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Control of chaos using the FACTS device in a power system is already in use [5,16]. Figure 6 illustrates solution of only one differential Equation (18) with injection of reactive power as an output of perturb-boost fuzzy logic controller.…”

Section: Simulink Model With Novel Fuzzy Logic Controllermentioning

confidence: 99%

Instability, chaos and bifurcation control in nonlinear dynamical system behavior using perturb-boost fuzzy logic controller

Nangrani

Bhat

2017

IFS

View full text Add to dashboard Cite

This paper presents a novel Perturb-Boost Fuzzy Logic Controller for controlling the instability of nonlinear dynamical system behavior. Several applications can make use of the small perturbation technique discussed in the paper related to industrial control, mechanical nonlinear systems, electrical systems and other systems governed by nonlinear differential equations. This paper presents the power system as an application for use of novel controller to control voltage instability problem. The power system is an electro-mechanical nonlinear dynamical system, and is described by a combination of electrical and mechanical parameter based differential equations together. The power system faces problems related to voltage instability and chaos. Voltage instability exists in almost every power system for a specific set of mechanical power, electrical loading and initial conditions. Voltage instability can be controlled by injecting a small amount of reactive power using a power electronic device called a Static Volt Ampere Reactive Compensator. The amount of reactive power to be injected is trivial for different types and sizes of the power system. To control voltage instability, reactive power in a power system needs to be boosted. Proposed controller output decides amount of reactive power which perturbs the system equation to the stable operating point. The proposed Perturb-Boost Fuzzy Logic Controller differs from conventional controllers due to its single shot boost action, which perturbs system dynamics in such a way as to push it to safe zones of voltage stability. This paper analyzes the performance of the proposed controller to control the voltage instability for the generalized three node power system benchmark model. Reactive power to be injected is momentary due to single shot boost action. Time to reach instability gets delayed by approximately fifteen seconds using proposed controller for the benchmark model. Mitigation of voltage collapse is discussed in view of simulation results using proposed novel controller.

show abstract

Section: Simulink Model With Novel Fuzzy Logic Controllermentioning

confidence: 99%

Instability, chaos and bifurcation control in nonlinear dynamical system behavior using perturb-boost fuzzy logic controller

Nangrani

Bhat

2017

IFS

View full text Add to dashboard Cite

show abstract

“…In this study, SVC is connected in parallel to the load bus. The equations describing the dynamics of the singlemachine infinite-bus power system with SVC are as follows [5]:…”

Section: The Smib Power System With Svcmentioning

confidence: 99%

“…Liaw et al [4] presented a different approach by the load voltage regulation design of a power system via the tuning of SVC. See also [5], where authors analysed the impact of SVC on bifurcations, chaos and voltage collapse in power systems. In [6], Blasina et al investigated the characteristics and the effects of SVC devices as the origin of the FACTS devices, and their use in power systems.…”

Section: Introductionmentioning

confidence: 99%

Voltage stability analysis based on energy function of an electrical power system with and without SVC

Çifci

Uyaroğlu

2016

Teh. vjesn.

View full text Add to dashboard Cite

VOLTAGE STABILITY ANALYSIS BASED ON ENERGY FUNCTION OF AN ELECTRICAL POWER SYSTEM WITH AND WITHOUT SVC Ahmet Çifci, Yılmaz UyaroğluPreliminary notes This paper presents a study based on the variable gradient method for the construction of a Lyapunov (energy) function. The single-machine infinite-bus (SMIB) power system with and without static VAR compensator (SVC) is considered. Voltage stability analysis is studied on both power systems. The performance of SVC on voltage stability of the system is shown and numerical simulations are compared with each other. Additionally, it is demonstrated that the stored energy density is an indicator of the closeness of the operating point to the instability region of the system. The simulation results for the studied models are obtained by using MATHCAD software. Keywords: Lyapunov (energy) function; single-machine infinite-bus power system; static VAR compensator; variable gradient method; voltage stabilityAnaliza stabilnosti napona na temelju funkcije energije u elektroenergetskom sustavu sa i bez SVC Prethodno priopećenje U ovom se radu opisuje analiza temeljena na metodi promjenjivog gradijenta za tvorbu Lyapunove funkcije (energije). Razmatra se energetski sustav neograničene sabirnice stroja -SMIB (Single Machine Infinite Bus) sa i bez statičkog VAR kompenzatora (SVC). Analiza stabilnosti napona provedena je na oba energetska sustava. Pokazan je rad SVC kod stabilnog napona sustava i numeričke su simulacije uspoređene jedna s drugom. Dodatno je pokazano da je gustoća pohranjene energije pokazatelj blizine točke u kojoj će doći do nestabilnosti sustava. Rezultati simulacije za analizirane modele dobiveni su primjenom MATHCAD softvera.

show abstract

“…To validate the RNN model was compared to mathematical model, where the results of the both models were identical [7]. Controlling chaos and voltage collapse using continuation technique [8], ANFIS-based composite controller (CC)-SVC [9] and an additional PID-loop [10]. Artificial neural network(NN) was used in indentification system and control application [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Controlling Chaos and Voltage Collapse using Layered Recurrent Network-based PID-SVC in Power Systems

2013

View full text Add to dashboard Cite

Abstrak Chaos dan voltage collapse muncul pada sistem tenaga listrik akibat gangguan energi pada beban kritis. Untuk mengatasinya maka dirancang PID-SVC yang berbasis-layered recurrent network (LRN).PID berbasis-LRN IntroductionThe Loading on electric power systems (EPS) was growth rapidly. On the other hand, the built of power plants and transmision line were very slow due to economical and environtment reasons. Therefore, the existing EPS must be operated in critical condition on boundary of stability regions. Meanwhile, voltage collapse was found at the highest loading parameter existed on saddle node bifurcation (SNB) and voltage collapseanalysis was done by using center manifold with static and dynamic approach [1]. The appeared of Hopf bifurcation (HB), chaos, crisis and voltage collapse before SNB were identified and classified in [2][3]. The appeared of HB in critical EPS was suppressed by using linear and nonlinear controllers in [4][5].Chaos appeared in rotor speed, angle and voltage magnitude due to disturbingof energy (DE) [6]. Furthermore, chaotic behavior was observed in power systems and modelled using Elman recurrent neural networks (RNN). To validate the RNN model was compared to mathematical model, where the results of the both models were identical [7]. Controlling chaos and voltage collapse using continuation technique [8], ANFIS-based composite controller (CC)-SVC [9] and an additional PID-loop [10]. Artificial neural network(NN) was used in indentification system and control application [11][12][13]. SVC controlled by NN was used to enhanched dynamic stability of EPS [14] andRNN was used as power system stabilizer in single machine [15].Controlling chaos and voltage collapse using layered recurrent network (LRN)-based PID-SVCwere focused in this research. This controller was chosen because it was trainedin offline modeby train data and easy to be implemented.This paper is organized as follows: Power system model is explained in Section 2. LRN-based PID-SVC controller design is detailed in

show abstract

A new algorithm for analysis of SVC’s impact on bifurcations, chaos and voltage collapse in power systems

Cited by 15 publications

References 18 publications

Instability, chaos and bifurcation control in nonlinear dynamical system behavior using perturb-boost fuzzy logic controller

Instability, chaos and bifurcation control in nonlinear dynamical system behavior using perturb-boost fuzzy logic controller

Voltage stability analysis based on energy function of an electrical power system with and without SVC

Controlling Chaos and Voltage Collapse using Layered Recurrent Network-based PID-SVC in Power Systems

Contact Info

Product

Resources

About