Small-signal dynamics and control parameters optimization of hybrid multi-infeed HVDC system

Guo, Chunyi; Liu, Wei; Zhao, Chengyong; Ni, Xiaojun

doi:10.1016/j.ijepes.2017.12.009

Cited by 40 publications

(21 citation statements)

References 9 publications

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“…The feature analysis in the process of the dynamic fuzzy adjustment of web information collection data transmission is carried out by using the sensitive key feature analysis method. According to the key transmission protocol model of web information acquisition data intelligent transmission dynamic fuzzy adjustment shown in Figure 1, the distributed statistical analysis model of the dynamic fuzzy adjustment of web information acquisition data transmission can constructed [5][6][7]. The feature analysis in the process of the dynamic fuzzy adjustment of web information collection data transmission is carried out by using the sensitive key feature analysis method.…”

Section: General Structure and Key Design Of Transmission Dynamic Fuzmentioning

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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Section: General Structure and Key Design Of Transmission Dynamic Fuzmentioning

confidence: 99%

Dynamic Fuzzy Adjustment Algorithm for Web Information Acquisition and Data Transmission

et al. 2020

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“…For example, an investigation of the impact of control system parameter settings on small-signal stability in a hybrid MI-HVDC system was conducted in [3], showing the significant importance of the phase locked loop (PLL) gains in VSC and LCC stations and of the ac voltage controller gains in VSC station. Researchers in [4] examined the effect of the ac system strength at the point of common coupling (PCC) of LCC (VSC) station and of the tie-line length between the LCC and VSC inverter stations on the system's small-signal dynamics. In addition, an optimization of the control parameters was conducted to enhance the stability of this hybrid MI-HVDC system connected to relative weak ac grid.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis on Small-Signal Stability of Multi-Infeed VSC HVDC System With Different Reactive Power Control Strategies

2019

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Voltage Source Converter based High Voltage Direct Current (VSC HVDC) technology is used more and more in modern power systems. Consequently, in the ac network, an increasing number of converters are appearing in mutual electrical proximity, thus forming Multi-Infeed (MI)-HVDC systems. For VSC technology, several aspects of MI-HVDC system operation are less well understood compared to Line Commutated Converter (LCC) HVDC systems. This paper studies an MI system which consists of two VSC HVDC schemes based on Modular Multilevel Converters (MMC) interconnected with an ac line and connected to an external grid. The aim of the study is to identify the small-signal stability properties of such a system, thereby focusing on the impact of different outer control loops for reactive power and ac voltage regulation. INDEX TERMS Modular multilevel converters, multi-infeed HVDC, reactive power and voltage regulation, small-signal stability.

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“…The oscillatory modes can be damped using several grid actuators. The most common Damping Controller (DC) are the Power System Stabilizers (PSS) loops of the most participating machines (see, e.g., [24]), but other solutions like the power modulation of the HVDC links [25], [7] or the STATCOMS [17] are also used.…”

Section: Introductionmentioning

confidence: 99%

Residue phase optimization for power oscillations damping control revisited

Marinescu

2019

Electric Power Systems Research

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One of the most used way to tune the parameters of power oscillations damping controllers (like, e.g., the Power System Stabilizers (PSS) of generators) is to provide a phase compensation to 180 degrees of the phase of the residues of the inter-area modes to be damped and, next, to increase the gains of the controllers in order to obtain the desired damping for the aforementioned modes. It is shown here that this way of doing is suboptimal. First, from the physical point of view, there is no a priori reason to compensate the phase to 180 degrees. Next, concerning the damping of the oscillations, when the phase compensation is computed in a coordinated way with the gain of the controller, better results are systematically obtained. This means that, in comparison with the standard way of phase compensation (to 180 degrees), this new tuning strategy provide the same damping level obtained with lower gains for the controllers (i.e., with more robust controllers) or, alternatively, higher damping levels with the same level of gains (i.e., better performances). The optimal parameters of the controllers are solutions of constrained optimization problems for the general case of several controllers tuned to damp several modes. Examples on both academic and real large-scale (the European power system model) cases are given. This result is general and can be applied to any control framework (for classic generators or more advanced (optimal) control, for local, inter-area or other oscillatory modes).

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Small-signal dynamics and control parameters optimization of hybrid multi-infeed HVDC system

Cited by 40 publications

References 9 publications

Dynamic Fuzzy Adjustment Algorithm for Web Information Acquisition and Data Transmission

Dynamic Fuzzy Adjustment Algorithm for Web Information Acquisition and Data Transmission

Comparative Analysis on Small-Signal Stability of Multi-Infeed VSC HVDC System With Different Reactive Power Control Strategies

Residue phase optimization for power oscillations damping control revisited

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