An Improved Measure of AC System Strength for Performance Analysis of Multi-Infeed HVdc Systems Including VSC and LCC Converters

Ni, Xiaojun; Gole, Aniruddha M.; Zhao, Chengyong; Guo, Chunyi

doi:10.1109/tpwrd.2017.2711363

Cited by 87 publications

(38 citation statements)

References 17 publications

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“…  for a typical small phase shift , phase angle variation at each WT terminal has a much higher impact on WT active power change than the WT AC voltage variation. If WT phase angle can be regulated faster during the active power variation, WT terminal AC voltage fluctuation can be effectively reduced, as depicted by (20). As a result, WT reactive power dynamics during the transient can be improved, as seen in (21).…”

Section: B Proposed Angle Feedforward Controlmentioning

confidence: 99%

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Analysis and Control of Offshore Wind Farms Connected With Diode Rectifier-Based HVDC System

et al. 2020

IEEE Trans. Power Delivery

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This paper analyzes the control and operation of offshore wind farms connected with diode rectifier based HVDC (DR-HVDC) system. A small-signal state-space model of the offshore wind turbines (WTs) connected with DR-HVDC system is developed to design the WT Q-f droop control. The use of WT P-V and Q-f control during individual WT active power variation is clearly clarified. In order to reduce the interaction between WT active power and reactive power, an angle feedforward control is proposed where an additional phase shift is directly added to the WT output voltage based on the WT's active power output. The effectiveness of the proposed control on improving dynamic response and reducing active and reactive power interaction is verified by frequency-domain analysis and time-domain simulations in PSCAD/EMTDC. Index Terms-diode rectifier based HVDC, interaction of WT active and reactive power, small-signal analysis, wind turbine control This work was supported by the European Union's Horizon 2020 research and innovation programme under Grant 691714.

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Section: B Proposed Angle Feedforward Controlmentioning

confidence: 99%

“…, the small-signal model of diode rectifier HVDC station is expressed as Small-signal model of DR transformer inductance, DR DC smoothing reactance and HVDC cable The dynamics of the DR transformer inductance were not considered in the small signal model presented in(13). Taking into account the transformer inductance dynamics, (1) is modified as[18]-[20] …”

mentioning

confidence: 99%

Analysis and Control of Offshore Wind Farms Connected With Diode Rectifier-Based HVDC System

et al. 2020

IEEE Trans. Power Delivery

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“…The chaotic sequence structure reorganization design method is used to process the vector quantification coding in the process of the dynamic fuzzy adjustment of web information acquisition data transmission [8][9][10], and the nonlinear correlation feature reconstruction of web information acquisition data is extracted as follows:…”

Section: Vector Quantization Coding For Dynamic Fuzzy Adjustment Of Dmentioning

confidence: 99%

Dynamic Fuzzy Adjustment Algorithm for Web Information Acquisition and Data Transmission

et al. 2020

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In order to improve the transmission dynamic fuzzy adjustment ability of web information acquisition data, a dynamic fuzzy adjustment method of web information acquisition data transmission based on auto correlation feature matching is proposed. This paper constructs the key transfer protocol of the dynamic fuzzy adjustment of web information acquisition data transmission, uses a chaotic sequence structure reconstruction design method to carry out vector quantization and coding processing in the process of the dynamic fuzzy adjustment of web information acquisition data transmission, extracts nonlinear associated feature quantities of web information acquisition data, adopts a statistical feature detection method to select features in dynamic fuzzy adjustment process of web information acquisition data transmission, constructs a feature selection model of the dynamic fuzzy adjustment of web information acquisition data transmission, dynamically adjusts the fuzzy data with a fuzzy information clustering analysis method, and dynamically adjusts the fuzzy data transmission through fuzzy design and fuzzy encryption. The simulation results show that the dynamic fuzzy adjustment of web information acquisition data transmission when using this method is better, and the accurate transmission ability is stronger.

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“…With the technical development of both the LCC and VSC HVDC systems, there are numerous island networks with multi-infeed HVDC (MIDC) systems, encompassing both types of HVDCs, similar to the Jeju Island case. According to trends, many studies have concentrated on the MIDC systems [12][13][14][15][16]. Major research effort has been focused on the stable operation of the MIDC systems by introducing novel indexes, such as the multi-infeed interaction factor (MIIF), multi-infeed effective 2 of 14 short-circuit ratio (MIESCR) [12], apparent increase in short-circuit ratio (AISCR) [13], and improved effective short-circuit ratio (IESCR) [14].…”

Section: Introductionmentioning

confidence: 99%

“…According to trends, many studies have concentrated on the MIDC systems [12][13][14][15][16]. Major research effort has been focused on the stable operation of the MIDC systems by introducing novel indexes, such as the multi-infeed interaction factor (MIIF), multi-infeed effective 2 of 14 short-circuit ratio (MIESCR) [12], apparent increase in short-circuit ratio (AISCR) [13], and improved effective short-circuit ratio (IESCR) [14]. In parallel with such research, some studies have concentrated on the economic operation of MIDC systems, which is represented by optimal power flow (OPF) [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

A Frequency–Power Droop Coefficient Determination Method of Mixed Line-Commutated and Voltage-Sourced Converter Multi-Infeed, High-Voltage, Direct Current Systems: An Actual Case Study in Korea

2019

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Among the grid service applications of high-voltage direct current (HVDC) systems, frequency–power droop control for islanded networks is one of the most widely used schemes. In this paper, a new frequency-power droop coefficient determination method for a mixed line-commutated converter (LCC) and voltage-sourced converter (VSC)-based multi-infeed HVDC (MIDC) system is proposed. The proposed method is designed for the minimization of power loss. An interior-point method is used as an optimization algorithm to implement the proposed scheduling method, and the droop coefficients of the HVDCs are determined graphically using the Monte Carlo sampling method. Two test systems—the modified Institute of Electrical and Electronics Engineers (IEEE) 14-bus system and an actual Jeju Island network in Korea—were utilized for MATLAB simulation case studies, to demonstrate that the proposed method is effective for reducing power system loss during frequency control.

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An Improved Measure of AC System Strength for Performance Analysis of Multi-Infeed HVdc Systems Including VSC and LCC Converters

Cited by 87 publications

References 17 publications

Analysis and Control of Offshore Wind Farms Connected With Diode Rectifier-Based HVDC System

Analysis and Control of Offshore Wind Farms Connected With Diode Rectifier-Based HVDC System

Dynamic Fuzzy Adjustment Algorithm for Web Information Acquisition and Data Transmission

A Frequency–Power Droop Coefficient Determination Method of Mixed Line-Commutated and Voltage-Sourced Converter Multi-Infeed, High-Voltage, Direct Current Systems: An Actual Case Study in Korea

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