Interconnection Requirements Research Articles

A synchronous improvement of strength and elongation caused by solid solution in low-silver SAC solder with superior necking resistance properties

The current SAC(Sn–Ag–Cu) solder often experiences rapid degradation of mechanical properties at high temperatures and is prone to fracture under dynamic loads, thus failing to meet the interconnection requirements of industrial electronic products that operate under high power and vibration loads. In light of this, this paper aims to enhance the overall performance of the alloy by reducing the fraction of the second phase in SAC305 alloy, altering the type of second-phase particles, and strengthening the matrix β-Sn phase. Additionally, based on thermodynamic calculations of phase diagrams, the internal phases and elemental solid solubility of the alloy under different temperature conditions are accurately designed, thereby improving the alloy's strength while maintaining its elongation almost unchanged. The experimental results indicate that the designed Sn1.0Ag0.7Cu–3Bi4In1.5Sb alloy exhibits a higher rate sensitivity factor m (0.0559), which is more than double that of the Sn1.0Ag0.7Cu–5Bi4In3Sb alloy (0.0239). This improvement is primarily attributed to the enhanced interaction between the matrix β-Sn and the solid solution effect. Larger compound phases, such as Cu6Sn5 and Ag3Sn, only play a role in the low-rate loading region. Additionally, the alloy demonstrates strong temperature dependence, which is also related to the dissolution of the In element in the matrix β-Sn. The solid solution of the In element significantly enhances the high-temperature elongation rate of the alloy, increasing from 11.9% at low temperatures to 21.3% at high temperatures. The successful development and implementation of this research provides a new solution for interconnection of electronic devices under high-speed dynamic loading and high-temperature service.

Fine Pitch Micro Indium Bump Interconnect Flip Chip Bonding

Quantum computing processors, micro LED displays and Focal Plane Array (FPA) imaging and detector devices such as infrared (IR) thermal imaging sensors are seeing higher demand as more practical applications requiring these components are coming into research and development, industrial, military and consumer markets. This paired with higher pixel and Qubit count and interconnect density, on larger and larger chips is driving hybridization and monolithic integration in these technologies. This is showing a marked increase in demand for fine pitch micro bump interconnection flip chip die bonding. However, some critical challenges facing these technologies are; larger component sizes mean higher density interconnections over increasing surface area. Submicron accuracy required to align fine pitch micro interconnect arrays. This together with the challenges facing the materials that are becoming the industry standard for these applications, such as the requirement for the assembled components to remain stable in extreme conditions such as cryogenic application environments. Combined with low loss high strength mechanical/ electrical interconnect requirements on components containing sensitive materials, structures and unmatched coefficient of thermal expansion (CTE) means that processing gases such as formic acid or high temperature reflow bonding can no longer be used to bond these devices. These challenges mean that the industry is fast approaching the limitations of even state-of-the-art die bonders and die bonding methods on the market today. This paper is going to highlight these challenges and the methods used to address them to produce large format, high density IR thermal imaging FPA devices, Quantum processors and micro LED displays using fine pitch micro Indium bump array interconnections that meet today’s industry requirements.

Comparison of European Interconnection and Operation Requirements for Wind Farms

The necessity to provide clean energy, along with the latest technology developments in the eld of wind turbines, have been re ected by building bigger wind farms. This, combined with the integrated operation be tween wind farms and the grid, involves all the electric sys tem a ecting di erent aspects as transitory stability, volt age regulation, energy reserve management and the electric market. Most UE transmission system operators (TSO) have responded introducing technical regulations for wind farm interconnections. The present paper presents a com parison of some European grid codes for wind farms (WF), and their operative implications.

Architectural Synthesis of Continuous-Flow Microfluidic Biochips with Connection Pair Optimization

Continuous-flow microfluidic biochips are a type of biochip technology based on microfluidic channels that enable various biological experiments and analyses to be performed on a tiny chip. They have the advantages of a high throughput, high sensitivity, high precision, low cost, and quick response. In the architectural synthesis of continuous-flow microfluidic biochips (CFMBs), prior work has not considered reducing component interconnection requirements, which led to an increase in the number of connection pairs. In this paper, we propose an architectural synthesis flow for continuous-flow microfluidic biochips with connection pair optimization, which includes high-level synthesis, placement, and routing. In the high-level synthesis stage, our method reduces the need for component interconnections, which reduces the number of connection pairs. Our method performs fine-grained binding, ultimately obtaining high-quality binding and scheduling results for flow paths. Based on the high-quality binding results, we propose a port placement strategy based on port correlation and subsequently use a quadratic placer to place the components. During the routing stage, we employ a conflict-aware routing algorithm to generate flow channels to reduce conflicts between liquid transportation tasks. Experimental results on multiple benchmarks demonstrate the effectiveness of our method. Compared with the existing work, the proposed algorithm obtains average reductions of 35.34% in connection pairs, 24.30% in flow channel intersections, 21.71% in total flow channel length, and 18.39% in the execution time of bioassays.

Resolution of cyclic dependencies of the graphical model interconnection requirements for software

Resolution of cyclic dependencies of the graphical model interconnection requirements for software

Open EDFA gain spectrum dataset and its applications in data-driven EDFA gain modeling

Optical networks satisfy high bandwidth and low latency requirements for telecommunication networks and data center interconnection. To improve network resource utilization, machine learning (ML) is used to accurately model optical amplifiers such as erbium-doped fiber amplifiers (EDFAs), which impact end-to-end system performance such as quality of transmission. However, a comprehensive measurement dataset is required for ML to accurately predict an EDFA’s wavelength-dependent gain. We present an open dataset consisting of 202,752 gain spectrum measurements collected from 16 commercial-grade reconfigurable optical add–drop multiplexer (ROADM) booster and pre-amplifier EDFAs under varying gain settings and diverse channel-loading configurations over 2,785 hours in total, with a total dataset size of 3.1 GB. With this EDFA dataset, we implemented component-level deep-neural-network-based EDFA models and use transfer learning (TL) to transfer the EDFA model among 16 ROADM EDFAs, which achieve less than 0.18/0.24 dB mean absolute error for booster/pre-amplifier gain prediction using only 0.5% of the full target training set. We also showed that TL reduces the EDFA data collection requirements on a new gain setting or a different type of EDFA on the same ROADM.

Grid integration of wind farms and the interconnection requirements for the U.S. grid

Abstract The integration of wind turbines and wind farms into the power grid presents significant challenges, including the variable and uncertain nature of wind power, the need for efficient transmission and distribution of power, and the need for advanced control and monitoring systems. Recent advances in wind turbine and wind farm technology have greatly improved their ability to integrate into the power grid. This includes the use of variable speed generators and power electronics, such as inverters, which allow for more accurate control of the power output and better alignment with the grid’s frequency. Additionally, advanced control algorithms, such as model predictive control and feedback linearization, have been developed to improve the stability and reliability of wind power systems. Communication systems have also been integrated into wind power systems to allow for real-time monitoring and control of the wind farm’s performance. This improves the ability of the wind farm to provide ancillary services, such as frequency regulation and voltage control. In this work, the major interconnection requirements for the U.S. grid for the expected mass integration of wind farms were discussed focusing on sustainable and reliable control strategies. The paper explores various control schemes that are used for providing response for grid reliability and sustainability. The analysis also included the future steps that OEMs of wind turbines need to take and the regulatory framework that is needed for ancillary services to provide an equitable platform for all generating units – conventional and renewables.

Solar Powered Charging Station for Electric Vehicle

As the demand for sustainable transportation continues to grow, the integration of renewable energy sources into Electric Vehicle (EV) charging infrastructure has become a vital focus. The concept and benefits of a solar-powered EV charging station proposed in this research, combines solar Photovoltaic (PV) technology with efficient charging infrastructure. The solar-powered EV charging station serves as an innovative solution that harnesses clean and renewable energy from the sun to charge electric vehicles. By leveraging solar PV panels, this charging station reduces reliance on traditional grid electricity, decreases carbon emissions, and promotes sustainable mobility. Furthermore, this study discusses the potential challenges and considerations involved in implementing a solar-powered EV charging station, including site selection, system sizing, grid interconnection, and maintenance requirements. It emphasizes the need for collaboration between renewable energy experts, charging infrastructure providers, and relevant stakeholders to address these challenges and drive the adoption of solar-powered EV charging stations. In conclusion, the abstract presents the solar-powered EV charging station as a sustainable and forward-thinking solution for promoting cleaner transportation. By leveraging solar energy, this charging infrastructure contributes to the reduction of greenhouse gas emissions, fosters energy resilience, and paves the way for a greener future in the realm of electric mobility. It is observed that the proposed system is more efficient than the existing system in terms of fast operation.

Short-Circuit Modeling of DFIG-Based WTG in Sequence Domain Considering Various Fault- Ride-Through Requirements and Solutions

The doubly fed induction generator (DFIG) based wind turbine generator (WTG) can activate different fault ride through (FRT) control schemes and circuits to comply with various grid code or utility interconnection requirements. These FRT solutions play a key role in the resulting fault current of the DFIG-based WTG as well as the voltages and currents distributed in faulted networks. This paper accounts for their impact by proposing a new generic sequence domain model of the DFIG-based WTG for static short circuit calculations. In this paper, the FRT configurations are classified into three types. The proposed model first calculates the positive- and negative-sequence current phasors under the specified FRT control. Then based on the control, the desired currents and voltages are calculated by explicit equations to determine whether the crowbar could operate during FRT operation. By comparing with detailed electromagnetic transient (EMT) simulations using an EPRI benchmark system, the proposed model, incorporated into an iterative steady state solver, is shown to be accurate to calculate voltage and current phasors in an efficient manner. The proposed model provides a rapid tool for short circuit computations and protective relaying studies considering various grid code requirements and FRT implementations.

Design Scheme of Distributed Energy Resources Interconnection Oriented the VPP System

At present, the virtual power plant is still in the stage of theoretical research and early pilot development. It has not yet formed a systematic and comprehensive Distributed Energy Resource (DER) modeling, market participation mechanism, operational risk management, operational optimization decision-making method, and systematic operating platform. Given the massive DERs interconnection requirements of the virtual power plant system, this paper proposes a design scheme for the DER interconnection protocol, which solves the problems of the existing application layer protocol, such as high overhead, poor security, and low efficiency of massive interconnection, and supports the safe and stable operation of power grid enterprises and virtual power plant systems.

Compact and scalable polarimetric self-coherent receiver using a dielectric metasurface

Polarimetric self-coherent systems using direct-detection-based Stokes-vector receivers (SVRs) are a promising technology to meet both the cost and capacity requirements of short-reach optical interconnects. However, conventional SVRs require a number of optical components to detect the state of polarization at high speed, resulting in substantially more complicated receiver configurations compared with the current intensity-modulation–direct-detection counterparts. Here, we demonstrate a simple and compact polarimetric self-coherent receiver based on a thin dielectric metasurface and a photodetector array (PDA). With a single 1.05-µm-thick metasurface device fabricated on a compact silicon-on-quartz chip, we implement functionalities of all the necessary passive components, including a 1×3 splitter, three polarization beam splitters with different polarization bases, and six focusing lenses. Combined with a high-speed PDA, we demonstrate self-coherent transmission of 20-GBd 16-ary quadrature amplitude modulation and 50-GBd quadrature phase-shift keying signals over a 25-km single-mode fiber. Owing to the surface-normal configuration, it can easily be scaled to receive spatially multiplexed channels from a multicore fiber or a fiber bundle, enabling compact and low-cost receiver modules for future highly parallelized self-coherent systems.

A Review of Grid Connection Requirements for Photovoltaic Power Plants

The increasing rate of renewable energy penetration in modern power grids has prompted updates to the regulations, standards, and grid codes requiring ancillary services provided by photovoltaic-generating units similar to those applied to conventional generating units. In this work, a comprehensive survey presents a comparison of requirements related to voltage ride through reactive current injection/absorption; active power restoration; frequency stability regulation and active power control; voltage regulation and reactive power control; and the energy quality requisites included in the standards and grid codes of countries around the globe. The survey can be used to observe the differences between the requirements established in the grid codes depending on the power system operating characteristics, development of technology, and renewable energy penetration level. Many of these factors determine the parameters used to establish requisites for different grid codes, making a global standardization of the renewable energy interconnection requirements much harder.

The preparation of anisotropic conductive paste and its application in FOB interconnection

PurposeThe purpose of this study is to investigate the reliability of flex-on-board (FOB) interconnection connected with an anisotropic conductive paste (ACP), which is prepared by dispersing nickel balls in the epoxy-curing system.Design/methodology/approachDifferential scanning calorimetry was used to evaluate the curing characteristics of the paste. And the contact resistances of bonding joints and 90º peel adhesion were tested before and after high temperature and high humidity test (85°C, 85% humidity), thermal cycling (−45°C∼125°C, 30min/cycle) and pressure cooker test (PCT, 121°C, 100% humidity 2 atm) to evaluate the flex on board (FOB) interconnection reliability.FindingsIt is found that FOB test vehicles have been successfully bonded by using ACP for the first time. And the ACP bonding joint of FOB has good reliability and can meet the requirements of FOB interconnection. Compared with conventional anisotropic conductive film (ACF), this ACP interconnection provides higher adhesion strength, higher joint current carrying capability and higher reliability performance and lower cost for FOB interconnection.Originality/valueACP is applied in the interconnection of FOB. It has the higher reliability performance and lower cost for than the conventional ACF.

Research on composite manufacturing method of semi-buried 1×32 optical splitter

In this paper, a composite manufacturing method was proposed to reduce the inner surface roughness of silica groove. Firstly, femtosecond laser was used to ablate the silica groove, then, a 5% concentration hydrofluoric acid solution was used to corrode the inner surface of silica groove. Secondly, Su8 adhesive was filled with the groove to form a semi-buried 1×32 optical splitter by doctor blade. The test results showed that the surface roughness Ra was less than 0.2 µm, and average insertion loss of output ports was 21.34 dB, moreover, the uniformity was less than 1.44 dB. Compared with the traditional femtosecond laser ablating method, surface roughness reduced by at least 0.1 µm, and the average insertion loss of output ports was reduced by 1.22 dB, and the uniformity was reduced by 0.41 dB. So, the composite manufacturing method improved the communication performance. It is satisfied with the requirements for optical interconnection in the electro-optical printed circuit boards.

Silicon-based compact mode converter using bricked subwavelength grating

Facing the increasing capacity requirements of on-chip optical interconnects, mode division multiplexing technology (MDM), which fully uses the different spatial eigenmodes at the same wavelength as independent channels to transmit optical signals, has attracted tremendous interest. Mode-order converter that can convert the fundamental mode into high-order mode is a key component in MDM system. However, it is still very challenging to achieve compact mode-order converters with high performances. Subwavelength grating (SWG) can be equivalent to homogenous material, which has the prominent advantages such as controlling over birefringence, dispersion and anisotropy, thus making photonic devices possess high performance. Wheras the conventional SWG only needs single-etch step, but the implementation of SWG structure usually requires a fabrication resolution on the order of 100 nm and below, which is difficult for current wafer-scale fabrication technology. The anisotropic response of SWG can be further engineered by introducing bricked topology structure, providing an additional degree of freedom in the design. Meanwhile, the requirement for fabrication resolution can also be reduced (> 100 nm). In this work, we experimentally demonstrate compact TE<sub>0</sub>-TE<sub>1</sub> mode-order converter and TE<sub>0</sub>-TE<sub>2</sub> mode-order converter by using a bricked subwavelength grating (BSWG) based on a silicon-on-insulator (SOI) with the BSWG having a minimum feature size of 145 nm. In the proposed mode-order converter, a quasi-TE<sub>0</sub> mode is generated in the BSWG region, which can be regarded as an effective bridge between the two TE modes to be converted. Flexible mode conversion can be realized by only choosing appropriate structural parameters for specific mode transitions between input/output modes and the quasi-TE<sub>0</sub> mode. By combining three-dimensional (3D) finite difference time domain (FDTD) and particle swarm optimization (PSO) method, TE<sub>0</sub>-TE<sub>1</sub> mode-order converter and TE<sub>0</sub>-TE<sub>2</sub> mode-order converter are optimally designed. They can convert TE<sub>0</sub> mode into TE<sub>1</sub> and TE<sub>2</sub> mode with conversion length of 9.39 µm and 11.27 µm, respectively. The simulation results show that the insertion loss of < 1 dB and crosstalk of < –15 dB are achieved for both TE<sub>0</sub>-TE<sub>1</sub> mode-order converter and TE<sub>0</sub>-TE<sub>2</sub> mode-order converter, their corresponding working bandwidths being 128 nm (1511–1639 nm) and 126 nm (1527–1653 nm), respectively. The measurement results indicate that insertion loss and crosstalk are, respectively, less than 2.5 dB and –10 dB in a bandwidth of 68 nm (1512–1580 nm, limited by the laser tuning range and grating coupler).

Multi-band DFT-S 100 Gb/s 32 QAM-DMT transmission in intra-DCI using 10 G-class EML and low-resolution DAC.

In this paper, 100 Gb/s/λ 32 quadrature amplitude modulation discrete multi-tone (QAM-DMT) transmission using 10 G-class electro-absorption modulated laser (EML) and 4/5-bit digital-to-analog converters (DACs) are experimentally demonstrated to meet the requirement of intra-datacenter interconnection (intra-DCI). Unequal length multi-band (ULM) discrete Fourier transform spread (DFT-S) precoding is investigated to alleviate the distortion induced by the high peak-to-average power ratio (PAPR) of DMT. The results show that the required computational complexity of ULM DFT-S precoding with 2-bands (k1=256, k2=64) decreases sharply compared to the traditional DFT-S technique with only about 0.5 dB receiver sensitivity penalty. In addition, compared to the equal length multi-band (ELM) DFT-S precoding, the ULM DFT-S precoding can bring about 2.5 dB receiver sensitivity improvement with slight added computational complexity. With the assistance of ULM DFT-S precoding and noise shaping (NS) technique, the bit-error ratio (BER) of 100 Gb/s 32 QAM-DMT signal generated by 5-bit DAC over 2-km single-mode fiber (SMF) transmission can reach the hard-decision forward error correction (HD-FEC) threshold with received optical power (ROP) of -6.5 dBm, with only additional 39.9% multiplier and 33.7% adder.

Traffic Capacity Assessment of the Selected Track Section on the Slovak Railways Network after the Implementation of ETCS L3 Based on Signaling Principle

In the field of railway operation, it is essential to establish uniform conditions for interconnectivity requirements and compatibility of equipment in the Pan-European railway area to ensure effective interoperability. It also includes, for example, the introduction of a control system with modern and advanced interlocking systems (safety devices). The European Train Control System (ETCS) is a single European train protection system that will increase safety in rail transport. Nevertheless, this system may have an impact on the throughput on those railway lines where it is applied. The main research objective is to determine the impacts and effects of the configuration of track signaling equipment on the operational management of traffic and especially on the creation of a traffic plan. The optimization of transport processes on the railway infrastructure means creating the conditions for achieving higher throughput performance, especially including a higher number of train paths into the train traffic diagram. This paper examines and compares the impacts of ETCS and its levels (in particular ETCS L3) on the practical throughput of the selected national infrastructure manager. A heuristic procedure is used with the application of the analytical methodology of the Railways of the Slovak Republic (ŽSR), which uses the principles of mathematical statistics and probability. Significant comparative indicators are occupancy times and the degree of utilization of practical throughput. These are used in investment decisions in the modernization of line sections to achieve interoperability of the railway system.

Joint hierarchical placement and configuration of edge servers in C-V2X

To accommodate the high mobility and large-scale interconnection requirements of the Internet of Vehicles (IoVs) and to realize low-latency and high-reliability communication in IoVs, Cellular Vehicle-to-Everything (C-V2X) intelligent converged networks based on Mobile Edge Computing (MEC) is proposed. Various types of C-V2X applications impose diverse requirements on the network in terms of communication, computation, and storage, thus the MEC platform needs to be flexibly deployed in C-V2X. We can divide the MEC platform into Roadside-edge and Area-edge layers according to the service scope and business functions, and strategically select Road Side Units (RSUs) and Macro Base Stations (MBSs) with the optimal location in the Roadside-edge and Area-edge layer to place different types of Edge Servers (ESs). In the scenario of MEC and C-V2X convergence, we consider the trade-off between the response latency of computation requests and the placement cost, and modelled the hierarchical placement and configuration of ESs based on queuing theory. To reduce the complexity of the problem and improve the efficiency of the solution, heuristic algorithms are proposed to realize the joint hierarchical placement and configuration of ESs in C-V2X from the aspects of delay-aware, suitability evaluation, and spatial clustering. Finally, the real C-V2X scenarios are simulated based on the Poisson Line Process (PLP) and Poisson Point Process (PPP), and sufficient experimental results verify the effectiveness and superiority of the proposed algorithms.

Sensitivity Analysis Based Identification of Key Parameters in the Dynamic Model of a Utility-Scale Solar PV Plant

Grid modernization and innovations in clean energy are leading to a rapid increase in the penetration of inverter-based resources (IBRs) like wind power and solar photovoltaic (PV) plants in the bulk power system (BPS). To study the implications on BPS dynamics and mitigate potential risks to grid reliability, the second-generation generic renewable energy system model has been developed earlier. However, this model has three modules with 86 user-defined parameters and eight control flags to facilitate the utility-scale solar PV plant operation in different control modes. It presents a major challenge to the transmission system planning engineers. There is a critical need to identify the key parameters of the dynamic model that are highly sensitive to grid events causing large-scale voltage and frequency disturbances. In this work, a sensitivity analysis based on modified Sobol’ method is proposed for identification of the key parameters in the utility-scale solar PV plant model. The total Sobol’ sensitivity index captures even the higher-order effects of the variations in the parameters. Validation of the identified key parameters was carried out on a modified IEEE 9-bus system and 200-bus synthetic grid using PSS®E for plant-level control and local coordinated control operation of the solar PV plant. The reduced set of parameters identified in this work offer help to utility grid planning teams while conducting dynamic studies to meet the interconnection requirements.

Asking for fast terminal voltage control in grid following plants could provide benefits of grid forming behavior

Conventional inverter based resource (IBR) plants generally have control loops with high bandwidth which enable them to maintain tight control of the active and reactive power injected by the IBR device into the grid. These control loops, if not tuned appropriately, can suffer from instability under reduced system stiffness. To bring about an increase in stability of a power network with large percentage of IBRs, recent research done around the world has resulted in the emergence of multiple different types of so-called grid forming inverter control architectures. But, in order for inverter manufacturers to break the circular (or chicken-and-egg) problem, exact performance requirements must be known, which can only be specified either through standards and/or interconnection requirements. Through the use of both electromagnetic transient (EMT) time domain and linearized state space small signal analysis, this paper will provide a way to define interconnection requirements that are agnostic to the specific type of grid forming or grid following IBR control. Further, the benefit of defining grid forming interconnection requirements even when short circuit ratio is not low will be showcased.