Steady state frequency response of STATCOM

Mohaddes, M.; Gole, Aniruddha M.; Elez, S.

doi:10.1109/61.905574

Cited by 70 publications

(21 citation statements)

References 7 publications

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“…2) Take partial derivatives of (22) and (23) with respect to 3) Rearrange the resulting equations from the above step to the form of (24)…”

Section: Sensitivity Formulations For the Case Of Closed-loop And mentioning

confidence: 99%

“…Hence, a transfer function describing the input and output harmonics of a power electronic device can be found. This method has been used for DC-DC converters [19]- [21] and AC-DC converters [22]- [26]. Since averaging is like a low-pass filter [27], there have been modified or generalized average method proposed to account for the high frequency components.…”

Section: Introductionmentioning

confidence: 99%

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Derivation of a Small-Signal Harmonic Model for Closed-Loop Power Converters Based on the State-Variable Sensitivity Method

Lian

2012

IEEE Trans. Circuits Syst. I

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An admittance or impedance matrix of a power converter is highly desirable for harmonic analysis of a power system. However, power converters are inherently nonlinear and time-varying systems. Therefore, a small-signal harmonic model needs to be derived. While there have been many methods to obtain the small-signal models of DC-DC converters, most of these methods cannot be directly applied to AC-DC converters. Moreover, while accurate methods exist for obtaining accurate models of open-loop AC-DC converters, there are few existing methods for obtaining accurate models for closed-loop AC-DC converters. This paper proposes an analytical method for obtaining an accurate small-signal harmonic model for a power converter. The proposed method is based on state-variable sensitivity methods, which have been previously used to derive a transfer function of a DC-DC converter. This paper will show what modifications are required to extend it to derive the small-signal harmonic model of a closed-loop AC-DC converter. A small-signal harmonic model of a closed-loop pulse-width modulated (PWM) voltage source converter (VSC) with synchronous frame current controllers and a dc voltage controller is derived based on the proposed method. The results are in good agreement with large-signal simulations by means of PSCAD/EMTDC.Index Terms-Harmonics, pulse width modulation, small signal harmonic model, steady state analysis, voltage source converter.

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“…2) Take partial derivatives of (22) and (23) with respect to 3) Rearrange the resulting equations from the above step to the form of (24)…”

Section: Sensitivity Formulations For the Case Of Closed-loop And mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Derivation of a Small-Signal Harmonic Model for Closed-Loop Power Converters Based on the State-Variable Sensitivity Method

Lian

2012

IEEE Trans. Circuits Syst. I

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show abstract

“…Hence, a transfer function describing the input and output harmonics of a power electronic device can be found. This method has been used for DC-DC converters [2]- [5] and AC-DC converters [6]- [10]. Since averaging is like a low-pass filter [11], such a method is only accurate for low frequency harmonics.…”

Section: Introductionmentioning

confidence: 99%

A small-signal harmonic model of a closed-loop power converter

Lian

2012

2012 IEEE 15th International Conference on Harmonics and Quality of Power

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Power converters are inherently nonlinear and time varying. If power electronic devices can be accurately linearized, it can be incorporated into a harmonic power flow program to analyze a large interconnected power system or a microgrid system where several distributed converters are connected. While there have been many methods to obtain the small-signal models of DC-DC converters, most of these methods cannot be directly applied to AC-DC converters. This paper presents a new method, which can be used to obtain the small-signal models of AC-DC converters. A small-signal harmonic model of a closed-loop pulse width modulated voltage source converter with synchronous dq frame current controllers and a dc voltage controller is derived based on the proposed method. The results are in good agreement with large-signal simulations by means of PSCADIEMTDC.

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“…The connections have numerical weights that can be tuned based on experience This paper draws attention on the multi layer feed forward ANN which that of the non linear multivariable function representation. The ANN is used for the mapping between the difference of reference DC and Changed Value of DC on DC side of series converter for proper operating conduction and optimal controller parameter [13], [14] Table 2. Model parameters…”

Section: Pi Controller Designmentioning

confidence: 99%

DPFC Performance with the Comparison of PI and ANN Controller

Rao

Surendra

Kalyani

2016

IJECE

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Modern power systems demand the active control of power flow and for this purpose Power flow controlling devices (PFCDs) are required. Distributed FACTS Controller (DPFC) is a part of FACTS family. DPFC offers equal control ability same as UPFC, comprising the adjustment of the internal angle of the machine and bus voltage includes line impedance. In addition to UPFC a new device evolved known as DPFC in which common DC link is eliminated that enables the exclusive working between the two converters which are shunt and the series. The Distributed-FACTS (D-FACTS) idea is adopt in the series converter scheme. The replacement of the high rating three phase series converter with the multiple low rating single phase converters results in cost reduction and increases reliability greatly. The useful power transfer between the two converters which are shunt and series through common dc link in UPFC where as in DPFC in this the required power is transferred in the transmission line with three times of natural fundamental frequency. Where as in the new device no need of large voltage separation between the line and PFC Device is no requirement of high voltage isolation between because D-FACTS converters which are 1-ᴓ floating device with respect to the ground. Accordingly, In this paper we bring out the DPFC performance differences with different control techniques which are PI and Artificial Neural Network Controllers and bring with conclusion that ANN is a better control strategy compared to PI. Corresponding Author: Keyword: ANND. Narasimha Rao, Departement of Electrical and Electronics Engineering, K L University, Guntur, India Email: narasimharao@kluniversity.in INTRODUCTIONThe increasing reputation in using renewable energy sources make it possible to control a huge sum of energy that enables the energy plan for quick switch between the renewable energy sources and the standby power generation [1]. This demands the availability of stand-by power whenever renewable energy is unable to supply the load. Therefore the need for power flow scheme methods is increased. The system parameters like internal angle and voltage magnitude are adjusted in order to control the active power. The PFCD is a component that modifies system parameters to control the active power [2]. The UPFC is the most powerful PFCD, able to alter system parameters like bus impedance, internal angle, and bus voltage. The operating principle of device UPFC is executed by the series converter casting a voltage, with specified phase angle, magnitude, in line with the power line [3]. The DPFC resembles the UPFC in independent adjustment of the line impedance, same control capability, internal angle and the bus voltage. In DPFC the DC voltage fluctuations are eliminated which connects the shunt and series converters back to back in UPFC [4].

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Steady state frequency response of STATCOM

Cited by 70 publications

References 7 publications

Derivation of a Small-Signal Harmonic Model for Closed-Loop Power Converters Based on the State-Variable Sensitivity Method

Derivation of a Small-Signal Harmonic Model for Closed-Loop Power Converters Based on the State-Variable Sensitivity Method

A small-signal harmonic model of a closed-loop power converter

DPFC Performance with the Comparison of PI and ANN Controller

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