To promote the integration of renewable energy resources into modern energy systems, high-voltage dc (HVdc) and circuit breaker (CB) technologies have become critical to achieving secure and efficient energy transmission. This article reviews the technical development of the related areas, compares diverse breaker concepts and topologies, investigates possible coordination and testing solutions, and points out the remaining challenges as well as future needs. The time-domain simulation and comparative analysis are adopted in this article to analyze and compare the performances of different HVdc CBs. By making use of different selectivity levels of multiterminal HVdc (MTdc) grids, the suitable planning and placement of HVdc CBs can be conducted. Furthermore, by providing insights into the performance of HVdc CBs, the work presented in this article can serve as a useful asset for the upcoming standardization and industrial application process of HVdc grid and CB design and testing.

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Hydrogen as an energy carrier holds promising potential for future power systems. An excess of electrical power from renewables can be stored as hydrogen, which can be used at a later moment by industries, households or the transportation system. The stability of the power system could also benefit from electrolysers as these have the potential to participate in frequency and voltage support. Although some electrical models of small electrolysers exist, practical models of large electrolysers have not been described in literature yet. In this publication, a generic electrolyser model is developed in RSCAD, to be used in real-time simulations on the real-time digital simulator. This model has been validated against field measurements of a 1 MW pilot electrolyser installed in the northern part of The Netherlands. To study the impact of electrolysers on power system stability, various simulations have been performed. These simulations show that electrolysers have a positive effect on frequency stability, as electrolysers are able to respond faster to frequency deviations than conventional generators.

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In the future energy system, hydrogen as an energy carrier will play a role of increasing importance. Electrical energy can be converted into hydrogen locally by electrolysers and stored for a relatively long period. Then, the hydrogen can be used by final consumers like the transportation system or industries, as conceptually illustrated in Fig. 1. The flexibility of electrolysers offers promising possibilities for electrical grid support by the provision of ancillary services. Currently, a pilot power-to-gas facility with a 1-MW electrolyser is installed in the northern part of the Netherlands. A larger electrolysis plant of 300 MW may be installed in this area later. The feasibility of this large-scale plant, its impact on the stability of the electrical transmission network and the possibilities for ancillary services provision are currently being investigated in the project TSO2020 [1].@en

In recent decades, the electrical power system has evolved into a new phase, in which the renewable energy resources are massively integrated into the grid. This change is mainly inspired by global policies that intend to reduce greenhouse gas emissions and decrease the society’s reliance on fossil fuels by replacing them with sustainable energy sources. The good examples are the European Network of Transmission System Operators for Electricity (ENTSO-E) that intends to integrate a high degree of renewables in Europe’s energy system, and the West-East Electricity Transmission Project that delivers wind energy from the northwest to the southeast of China. One important technology used to connect renewable energy resources is the high voltage direct current (HVDC) system based on the voltage source converter (VSC). Aside from the simple point-to-point HVDC link, the multi-terminal HVDC (MTDC) system is another option to connect these remote energy resources. In the MTDC system, the generation units are usually unsynchronized turbines that are interfaced with powerelectronic- based converters. As such, the responses of theMTDC system after faults occur are drastically different fromthe conventional AC systems that are based on synchronized generators. Since the development of an MTDC system is an important process, the research on the matter must be carried out. In an electrical power system, the transient events refer to a system’s response shortly after disturbances occur, such as the generation loss, the load shedding, the transmission line tripping, and the fault. This thesis focuses on the MTDC system’s protection based on the system’s transient events after faults. Due to the low impedance of the DC system and the low inertia of the HVDC converter, a fault in the DC system can spread quickly throughout both the DC and AC sides. Usually, the transient behavior of the HVDC system must be observed within severalmilliseconds, and it is a challenge to simulate the transient phenomena of a large HVDC system. The reason is that the accuracy of the electromagnetic transient (EMT) simulation heavily depends on how detailed the modeling system is: an extremely detailed system, such as one based on physical features of the semiconductor, cannot be modeled smoothly in the EMT application, while a too much simplified system cannot ensure accurate simulation results. Therefore, it means that a compromise must be made between modeling efficiency and accuracy. Consequently, this thesis implements an efficient method that ensures the efficient simulation of large-scaleMTDC system and its accurate transient phenomena. By using this method, the responses of an HVDC link after faults occur can be determined. More importantly, they can be classified into different stages, and the thesis explains themechanism of each stage. Furthermore, the thesis discusses the impact of grounding methods on the HVDC converter’s post-fault responses. @en

Recently, the application of phosphorene structure analogues in gas sensors has been a hot research topic since the appearance of phosphorene. SnSe monolayer as one of them has been proved to be much more stable properties than phosphorene. Based on the density-functional theory, the interaction between gas molecules (CO, CO ₂ , O ₂ , NO, NH ₃ , SO ₂ and NO ₂ ) and SnSe monolayer are theoretically investigated by first-principles calculation. Macroscopically, gas molecules selective adsorption of SnSe monolayer is analyzed by molecular dynamics. Compared to CO, CO ₂ , O ₂ , SnSe monolayer performs stronger affinity for SO ₂ and NO ₂ , which possesses appropriate adsorption energies (−6.000 eV and −0.759 eV) and elevated charge transfers (−0.239 e and −0.328 e). SnSe monolayer chemical adsorption of NO ₂ , while physically adsorbing SO ₂ , is more suitable for the adsorption mode of SO ₂ sensors. Surprisingly, the adsorption amount of SO ₂ is 6 times that of NO ₂ . Therefore, the adsorption of SO ₂ is more likely to occur compared to other gas molecules. For a mixed environment of SO ₂ and NO ₂ , the adsorption quantity of SO ₂ is not significantly affected, while the adsorption of NO ₂ is inhibited. Therefore, the SnSe monolayer could be a promising candidate as SO ₂ sensors with high selectivity and sensitivity.

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Snowfall and the subsequent evolution of the snowpack play important roles in the cryospheric and hydrospheric processes that occur on the Tibetan Plateau (TP). Current literature provides scarce evidence covering the sensitivity of solid precipitation to land surface physics schemes and initial and boundary conditions on the TP. Six numerical experiments using the Weather Research and Forecasting (WRF) model were conducted to simulate a snow event over the TP in March 2017. Different land surface physics schemes, that is, Community Land Model (CLM), Noah, and Noah-MP, and initial and boundary conditions provided by atmospheric reanalysis data sets, that is, the National Centers for Environmental Prediction-FNL and ERA-Interim data sets, were applied in sensitivity analyses. The observed near-surface air temperature, snow depth, and snow water equivalent (SWE) values were used to evaluate each model's performance. The results demonstrate that (1) the sensitivity of the near-surface air temperature to land surface physics schemes is greater than it is to both the initial and boundary conditions; (2) the best performance is achieved when applying WRF + CLM with a root-mean-square error of 8.4 °C, a mean absolute deviation of 7.3 °C, a correlation coefficient of 0.75, and a spatial correlation coefficient of ~0.5 to air temperature estimates. A potentially important factor appears to be the advanced parametrization of albedo in the CLM scheme; (3) the advanced land surface schemes in the WRF model describes the physics of cryospheric and hydrospheric processes in detail, and the land surface response is determined by multiple variables and parameters in such schemes. The spatial patterns in such variables and parameters determined the detailed spatial variabilities observed in snow cover and amount and its temporal evolution. The WRF model overestimates, however, the intensity and extent of snow depth and SWE; (4) simulations of solid precipitation are more accurate when applying CLM or Noah-MP + ERA-Interim in WRF; and (5) WRF performance with regard to SWE estimates clearly depends upon the discrimination of lighter from heavier snowfall.@en

In electric power system, disturbance detection has become an important part of grid operation and refers to the detection of a voltage and current excursion caused by the wide variety of electromagnetic phenomena. This paper proposes a computationally efficient and robust algorithm for synchronized measurement technology (SMT) supported online disturbance detection, suitable for AC and HVDC grids. The proposed algorithm is based on the robust median absolute deviation sample dispersion measure to locate dataset outliers. The algorithm is capable of identifying the disturbance occurrence and clearance measurement sample based on the dynamic criteria, driven by present power system conditions. The effectiveness of the proposed algorithm is verified by real-time simulations using a cyber-physical simulation platform, as a co-simulation between the SMT supported electric power system model and underlying ICT infrastructure. The presented results demonstrate effectiveness of the proposed algorithm, making it suitable for an AC and HVDC online disturbance detection application or as a pre-step of backup protection schemes.

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The widely acknowledged high-voltage direct current (HVDC) technology has now been accepted as a solution of connecting renewable energy sources. However, this technology is vulnerable when facing DC-side faults; due to the low DC impedance, the fault current can rise to an extremely high value in a short time. In addition, when building a multi-terminal DC (MTDC) system, the fault can make a worse failure or blackout of the system when it is not cleared or isolated in time. The urgent need to ensure reliable mentioned HVDC power system can be realized by making use of DC circuit breaker (DCCB). The vacuum CB, which is one division of active DCCBs, has its own operational limit; it can interrupt fault currents when the di/dt of injected current is lower than a critical value, otherwise the arc may reignite. Therefore, the designing and testing of a DCCB must consider this feature. On the other hand, because of the complex configuration of an MTDC system, one DC-side fault can result in different fault currents at faulty line’s terminals; thus, the DCCB needs to be calibrated based on its local fault information. This paper presents an algorithm to optimize the DCCB according to its critical di/dt and local fault current. Furthermore, the operational delay and chopping current of circuit breaker are also considered and modelled. The simulation results from PSCAD platform verify the effectiveness of the presented algorithm.@en