Phillips–Heffron model of power systems installed with STATCOM and applications

Wang, H.F.

doi:10.1049/ip-gtd:19990333

Cited by 131 publications

(70 citation statements)

References 8 publications

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“…The system data is given in the Appendix B. The system consists of a step down transformer (SDT) with a leakage reactance XSDT, a three phase GTO-based voltage source converter, and a dc capacitor [14].…”

Section: Power System Modelingmentioning

confidence: 99%

“…The voltage difference between the STATCOM bus AC voltage, v L and v0(t) produces active and reactive power exchange between the STATCOM and the power system, which can be controlled by adjusting the magnitude V 0 and the phase ϕ. The dynamic relation between the capacitor voltage and current in the STATCOM circuit are expressed as [14]:…”

Section: Power System Modelingmentioning

confidence: 99%

“…The dynamics of the generator and the excitation system are expressed through a third order model given as [14,15]…”

Section: Power System Modelingmentioning

confidence: 99%

“…Several trials have been reported in the literature to dynamic models of STATCOM in order to design suitable controllers for power flow, voltage and damping controls [13]. Wang [14] established the linearized Phillips-Heffron model of a power system installed with a STATCOM and demonstrated the application of the model in analyzing the damping effect of the STATCOM. Furthermore, no efforts seem to have been made to identify the most suitable STATCOM control parameter, in order to arrive at a robust damping controller.…”

Section: Introductionmentioning

confidence: 99%

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HBMO Based Output Feedback Damping Controller for STATCOM

2014

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Original scientific paperThe aim of this paper is to investigate a novel approach for output feedback damping controller design of the static synchronous compensator (STATCOM) in order to enhance the damping of power system low frequency oscillations (LFO). The design of output feedback controller is considered as an optimization problem according to the time domain-based objective function solved by a honey bee mating optimization (HBMO) algorithm that has a strong ability to find the most optimistic results. To validate the accuracy of results a comparison with genetic algorithm (GA) has been made. The effectiveness of the proposed controller are tested and demonstrated through eigenvalue analysis and nonlinear time-domain simulation studies over a wide range of loading conditions. The simulation study shows that the designed controller by HBMO performs better than GA in finding the solution. Key words: STATCOM, Honey Bee Mating Optimization, Damping Controller, Low Frequency OscillationsRegulator prigušenja za statički sinkroni kompenzator temeljen na HBM optimizaciji. U ovome radu istražene su metode za sintezu regulatora prigušenja za statički sinkroni kompenzator (STATCOM) u svrhu povećanja prigušenja nisko frekvencijskih oscilacija u energetskim sustavima. Sinteza regulatora je razmatrana kao optimizacijski problem u vremenskoj domeni koji je riješen pomoću HBM algoritma optimizacije (eng. Honey bee mating) koji ima svojstvo pronalaska najoptimističnijeg rezultata. U svrhu provjere rezultata napravljena je usporedba s rješenjem koje daje genetski algoritam. Efikasnost predloženog regulatora testirana je uz pomoć analize svojstvenih vrijednosti i nelinearnih simulacija u vremenskoj domeni za različite uvjete. Simulacijski rezultati pokazuju da se korištenjem regulatora s HBM optimizacijom postižu bolji rezultati nego korištenjem genetskog algoritma.

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Section: Power System Modelingmentioning

confidence: 99%

Section: Power System Modelingmentioning

confidence: 99%

“…The dynamics of the generator and the excitation system are expressed through a third order model given as [14,15]…”

Section: Power System Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

HBMO Based Output Feedback Damping Controller for STATCOM

2014

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show abstract

“…Several trials have been reported in the literature to dynamic models of STATCOM in order to design suitable controllers for power flow, voltage and damping controls [16]. Wang [17] established the linearized Phillips-Heffron model of a power system installed with a STATCOM and demonstrated the application of the model in analyzing the damping effect of the STAT-COM. Further, no effort seems to have been made to identify the most suitable STATCOM control parameter, in order to arrive at a robust damping controller.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Honey Bee Mating Optimization and Genetic Algorithm for Coordinated Design of Pss and Statcom Based on Damping of Power System Oscillation

Safari¹,

Ahmadian²,

Golkar³

2013

Journal of Electrical Engineering

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Recently, honey bee mating optimization (HBMO) technique and genetic algorithms (GA) have attracted considerable attention among various modern heuristic optimization techniques. This paper presents the application and performance comparison of HBMO and GA optimization techniques, for coordinated design of STATCOM and PSS. The design objective is to enhance damping of the low frequency oscillations. The design problem of the controller is formulated as an optimization problem and both HBMO and GA optimization techniques are employed to search for optimal controller parameters. The performance of both optimization techniques for damping low frequency oscillations are tested and demonstrated through nonlinear time-domain simulation and some performance indices studies to different disturbances over a wide range of loading conditions. The results show that the designed controller by HBMO performs better than GA in finding the solution. Moreover, the system performance analysis under different operating conditions show that the ϕ based controller is superior to the C based controller.

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Adaptive Type‐2 NeuroFuzzy wavelet‐based supplementary damping controls for STATCOM

Badar

Dilshad

2020

Int Trans Electr Energ Syst

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Summary Static Synchronous Compensator (STATCOM) is a shunt‐connected Flexible AC Transmission System (FACTS) controller with the primary goal of power flow control on a transmission line. However, it can effectively be used for improving power system stability by incorporating a Supplementary Damping Control (SDC) for bus voltage regulation. This paper presents an SDC strategy based on the integration of Type‐2 fuzzy logic and Wavelet Neural Network (WNN) in NeuroFuzzy structure. The fuzziness in Type‐2 membership function increases the controller capability to handle uncertainties. The performance improvement has been investigated by introducing uncertainty in mean initially and then in both the mean and SD of the Gaussian Type‐2 membership function. A multi‐machine power system installed with SDC‐based STATCOM is used to test the controller performance using different fault scenarios. The comparative evaluation of proposed controllers is done with Adaptive NeuroFuzzy TSK Control (ANFTSKC) and without SDC scenarios. In results, significant performance improvement has been observed in both steady‐state and transient regions for recommended Type‐2 NeuroFuzzy Wavelet Control (NFWC) strategies.

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Phillips–Heffron model of power systems installed with STATCOM and applications

Cited by 131 publications

References 8 publications

HBMO Based Output Feedback Damping Controller for STATCOM

HBMO Based Output Feedback Damping Controller for STATCOM

Comparison of Honey Bee Mating Optimization and Genetic Algorithm for Coordinated Design of Pss and Statcom Based on Damping of Power System Oscillation

Adaptive Type‐2 NeuroFuzzy wavelet‐based supplementary damping controls for STATCOM

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