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Power system decarbonization pathway of China

iEnergy 2024年第1期3卷 7-11页

作者： Chongqing Kang Ziyang Zhang Hongyi Wei Ershun Du Peng Wang Ning Zhang State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Laboratory of Low Carbon Energy Tsinghua UniversityBeijing 100084China

Under the pressure of environmental issues,decarbonization of the entire energy system has emerged as a prevalent strategy *** evolution of China’s power system will increasingly emphasize the integration of variable renewable energy(VRE).However,the rapid growth of VRE will pose substantial challenges to the power system,highlighting the importance of power system *** letter introduces Grid Optimal Planning Tool(GOPT),a planning tool,and presents the key findings of our research utilizing GOPT to analyze the transition pathway of China’s power system towards dual carbon ***,the letter offers insights into key technologies essential for driving the future transition of China’s power system.

关键词： Power system planning carbon neutrality power system transition

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A Low-Noise Capacitively-Coupled Chopper Instrumentation Amplifier with SAR-Assisted Low Current Ripple Reduction Technique 21

A Low-Noise Capacitively-Coupled Chopper Instrumentation Amp...

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21st International System-on-Chip Design Conference, ISOCC 2024

作者： Jo, Jungkook Jun, Jaehoon Inha University Department of Electrical and Computer Engineering Korea Republic of Inha University Program in Semiconductor and Device Korea Republic of

ISBN: (数字)9798350377088

ISBN: (纸本)9798350377088

This paper presents a novel design technique for reducing ripple in various sensor read-out integrated circuits (IC) by calibrating the amplifier offset through current control in bias resistors. Traditional methods for reducing ripple often involve complex amplifiers consuming static power. In contrast, the proposed ripple reduction technique employs successive-approximation register (SAR) logic to control the current flowing through the bias resistor, thus minimizing static power consumption. Experimental results obtained through simulations in a 28 nm CMOS process demonstrate significant ripple reduction to 8.94 μVpp from 2 mVpp. This approach is suitable for low-power design, particularly in wearable device applications, and can potentially extend to other amplifier configurations utilizing chopping technique. © 2024 IEEE.

关键词： Chopper amplifiers

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Fuzzing+Hardware Performance Counters-Based Detection of Algorithm Subversion Attacks on Postquantum Signature Schemes

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IEEE Transactions on Computer-Aided Design of Integrated Circuits and systems 2023年第2期42卷 384-396页

作者： Basak Chowdhury, Animesh Mahapatra, Anushree Soni, Deepraj Karri, Ramesh New York University Department of Electrical and Computer Engineering BrooklynNY11201 United States Nyu Tandon School of Engineering New YorkNY11201 United States Innatera Systems Rijswijk Netherlands

NIST is standardizing postquantum cryptography (PQC) algorithms that are resilient to the computational capability of quantum computers. Past works show malicious subversion with cryptographic software algorithm subversion attacks (ASAs) that weaken the implementations. We show that PQC digital signature (DS) codes can be subverted in line with previously reported flawed implementations (2008) (Bernstein et al., 2016) that generate verifiable, but less-secure signatures, demonstrating the risk of such attacks. Since all processors have built-in hardware performance counters (HPCs), there exists a body of work proposing a low-cost machine learning (ML)-based integrity checking of software using HPC fingerprints. However, such HPC-based approaches may not detect subversion of PQC codes. A miniscule percentage of qualitative inputs when applied to the PQC codes improves this accuracy to 98%. We propose gray-box fuzzing as a preprocessing step to obtain inputs to aid the proposed HPC-based method. © 1982-2012 IEEE.

关键词： Authentication

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DDDAS for Optimized Design and Management of 5G and Beyond 5G (6G) Networks 4th

DDDAS for Optimized Design and Management of 5G and Beyond 5...

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4th International Conference on Dynamic Data Driven Applications systems, DDDAS 2022

作者： Celik, Nurcin Darema, Frederica Runsewe, Temitope Saad, Walid Yavuz, Abdurrahman Department of Electrical and Computer Engineering Virginia Tech ArlingtonVA22203 United States InfoSymbiotic Systems Society Boston United States Department of Industrial and Systems Engineering University of Miami MiamiFL33146 United States

ISBN: (纸本)9783031526695

The technologies vested by the introduction of fifth generation (5G) networks as well as the emerging 6G systems present opportunities for enhanced communication and computational capabilities that will advance many large-scale critical applications in the critical domains of manufacturing, extended reality, power generation and distribution, water, agriculture, transportation, healthcare, and defense and security, among many others. However, for these enhanced communication networks to take full effect, these networks, including wireless infrastructure, end-devices, edge/cloud servers, base stations, core network and satellite-based elements, should be equipped with real-time decision support capabilities, cognizant of multilevel and multimodal time-varying conditions, to enable self-sustainment of the networks and communications infrastructures, for optimal management and adaptive resource allocation with minimum possible intervention from operators. To meet the highly dynamic and extreme performance requirements of these heterogeneous multi-component, multilayer communication infrastructures on latency, data rate, reliability, and other user-defined metrics, these support methods will need to leverage the accuracy of full-scale models for multi-objective optimization, adaptive management, and control of time-varying and complex operations. This paper discusses how algorithmic, methodological, and instrumentation capabilities learned from Dynamic Data Driven Applications systems (DDDAS)-based methodologies can be applied to enable optimized and resilient design and operational management of the complex and highly dynamic 5G/6G communication infrastructures. Such smart DDDAS capabilities are unswervingly proven for more than two decades on adaptive real-time control of various systems requiring the high accuracy of full-scale modeling for multi-objective real-time decision making with efficient computational resource utilization. © The Author(s), under exclusive li

关键词： 5G mobile communication systems

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Artificial Butterfly Optimization based Cluster Head Selection with Energy Efficient Data Aggregation model for Heterogeneous WSN Environment 7

Artificial Butterfly Optimization based Cluster Head Selecti...

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7th International Conference on Computing Methodologies and Communication, ICCMC 2023

作者： Venkatasubramanian, S. Vijay, R. HariPrasath, S. Department of Computer Science and Business Systems Saranathan College of Engineering Trichy India Department of Electrical and Electronics Engineering Saranathan College of Engineering Trichy India Department of Electronics and Communication Engineering Saranathan College of Engineering Trichy India

ISBN: (纸本)9781665464086

The WSN is a new and urgent technology with many potential uses, including but not limited to health security, environmental monitoring, etc. Due to lower battery capacity, WSN has a restricted-energy resource. In order to solve the issue of unequal energy consumption among nodes, it is necessary to choose a sensor node from a cluster with more than enough power to make up for the weaker nodes. This paper develops the idea of heterogeneous WSN (H-WSN), which provides supplementary energy to the heterogeneity network. One method that has shown promise in overcoming this difficulty is the clustering technique, which optimizes energy consumption and extends the useful life of a sensor network. Even if the existing approaches function well, the computational complexity may rise due to the usage of a single mobile sink in their studies. As an alternative to communication among each CH and sink through a separate hop, the network uses Multiple Mobile Sinks (MMSs). The combination of the data collection and aggregation mechanism (DCA) and artificial butterfly optimization (ABO) based on CH selection allows for energy-efficient data transfer using MMSs in H-WSN. The CH assortment uses the distance parameter, remaining energy, and regular energy for the suggested energy efficiency model. The NS2 platform hosts the final product of the projected H-WSN. The suggested ABO-CH-DCA approach is superior to the baseline protocols in simulations on various measures, including throughput, network lifespan, remaining energy, dead nodes, and live nodes. © 2023 IEEE.

关键词： Energy utilization

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OUT-OF-DOMAIN UNLABELED DATA IMPROVES GENERALIZATION 12

OUT-OF-DOMAIN UNLABELED DATA IMPROVES GENERALIZATION

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12th International Conference on Learning Representations, ICLR 2024

作者： Saberi, Amir Hossein Movasaghinia, Mohammad Hosein Najafi, Amir Motahari, Seyed Abolfazl Heidari, Alireza Khalaj, Babak H. Department of Electrical Engineering Department of Computer Engineering Sharif Center for Information Systems and Data Science Iran Sharif Institute for Convergence Science & Technology Sharif University of Technology Tehran Iran

We propose a novel framework for incorporating unlabeled data into semi-supervised classification problems, where scenarios involving the minimization of either i) adversarially robust or ii) non-robust loss functions have been considered. Notably, we allow the unlabeled samples to deviate slightly (in total variation sense) from the in-domain distribution. The core idea behind our framework is to combine Distributionally Robust Optimization (DRO) with self-supervised training. As a result, we also leverage efficient polynomial-time algorithms for the training stage. From a theoretical standpoint, we apply our framework on the classification problem of a mixture of two Gaussians in Rd, where in addition to the m independent and labeled samples from the true distribution, a set of n (usually with n m) out of domain and unlabeled samples are given as well. Using only the labeled data, it is known that the generalization error can be bounded by ∝ (d/m)1/2. However, using our method on both isotropic and non-isotropic Gaussian mixture models, one can derive a new set of analytically explicit and non-asymptotic bounds which show substantial improvement on the generalization error compared to ERM. Our results underscore two significant insights: 1) out-of-domain samples, even when unlabeled, can be harnessed to narrow the generalization gap, provided that the true data distribution adheres to a form of the "cluster assumption", and 2) the semi-supervised learning paradigm can be regarded as a special case of our framework when there are no distributional shifts. We validate our claims through experiments conducted on a variety of synthetic and real-world datasets. © 2024 12th International Conference on Learning Representations, ICLR 2024. All rights reserved.

关键词： Polynomial approximation

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Modeling and simulating solar and renewable energy systems using artificial intelligence 10

Modeling and simulating solar and renewable energy systems u...

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10th International Conference on Modern Power systems, MPS 2023

作者： Gorea, Cristian Porumb, Radu Munteanu, Calin Vlasa, Ilie Chiorean, Dragos-Lucian Bitir-Istrate, Ioan University Politehnica of Bucharest Faculty of Energy Engineering Department of Electrical Power Systems Romania Technical University of Cluj-Napoca Department of Electrical Engineering and Measurements Cluj-Napoca Romania

ISBN: (纸本)9798350326826

This paper explores how artificial intelligence can be used to model and simulate renewable solar energy systems. With the expansion of the use of renewable energy, solar energy systems have become a popular and promising option for electricity generation. However, modeling and simulating these systems can be difficult and expensive. Therefore, this paper analyzes the use of artificial intelligence to improve the process of modeling and simulating renewable solar energy systems. It presents the basic principles of renewable solar energy systems and artificial intelligence, as well as the algorithms and techniques used for modeling and simulating these systems. In addition, the paper focuses on data collection and processing, and the results obtained through simulations are analyzed and compared with other electric power generation systems. The conclusions drawn in this paper suggest that the use of artificial intelligence can improve the performance of renewable solar energy systems and reduce the costs and effort required for modeling and simulating these systems. © 2023 IEEE.

关键词： Smart power grids

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STAR-RIS Assisted Covert Wireless Communications with Randomly Distributed Blockages

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IEEE Transactions on Wireless Communications 2025年第6期24卷 4690-4705页

作者： Li, Xingwang Zhao, Jingwei Chen, Gaojie Hao, Wanming Da Costa, Daniel Benevides Nallanathan, Arumugam Shin, Hyundong Henan Polytechnic University School of Physics and Electronic Information Engineering Jiaozuo454099 China Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Shenzhen518107 China 5GIC 6GIC University of Surrey United Kingdom Zhengzhou University School of Electrical and Information Engineering Zhengzhou450001 China King Fahd University of Petroleum and Minerals Interdisciplinary Research Center for Communication Systems and Sensing Department of Electrical Engineering Dhahran31261 Saudi Arabia Queen Mary University of London School of Electronic Engineering and Computer Science London United Kingdom Kyung Hee University Department of Electronic Engineering Yongin-si17104 Korea Republic of Kyung Hee University Department of Electronics and Information Convergence Engineering Korea Republic of Nanyang Technological University School of Electrical and Electronics Engineering 639798 Singapore

As one of the promising technologies, reconfigurable intelligent surface (RIS) and simultaneous transmitting and reflecting RIS (STAR-RIS) have attracted great interest. However, the existing RISs offer broadband tuning capability without filtering function due to the absence of radio frequency (RF) units, which easily leads to the unexpected tuning of the RIS undesired signals, especially in large-scale deployments. For the target network, it is difficult to obtain the parameter settings of RISs to serve other networks, which causes the unpredictability of the wireless environment. In this paper, we consider the covert communication in a STAR-RIS assisted random wireless network with randomly distributed blockages. We investigate the impact of STAR-RIS large-scale deployment on covert communication and leverage its inherent unpredictability for improving the covertness. We derive the average detection error probability for warden within the random wireless networks. Furthermore, we optimize the passive beamforming of STAR-RIS to maximize the covert communication rate, considering both direct and indirect line-of-sight (LoS) links. To address this, we employ an alternating optimization (AO) algorithm based on the semi-definite programming (SDP) method. Finally, numerical results demonstrate significant enhancements and increase covert capability achieved through the large-scale deployment of STAR-RIS. 2002-2012 IEEE.

关键词： Numerical methods

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Optimal Energy Reserve Scheduling in Integrated Electricity and Gas systems Considering Reliability Requirements

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Journal of Modern Power systems and Clean Energy 2022年第6期10卷 1494-1506页

作者： Hengyu Hui Minglei Bao Yi Ding Yang Yang Yusheng Xue the College of Electrical Engineering Zhejiang UniversityHangzhouChina the Department of Industrial Systems Engineering and Management National University of SingaporeSingapore State Grid Electric Power Research Institute NanjingChina

With the growing interdependence between the electricity system and the natural gas system,the operation uncertainties in either subsystem,such as wind fluctuations or component failures,could have a magnified impact on the reliability of the whole system due to energy interactions.A joint reserve scheduling model considering the cross-sectorial impacts of operation uncertainties is essential but still insufficient to guarantee the reliable operation of the integrated electricity and natural gas system(IEGS).Therefore,this paper proposes a day-ahead security-constrained unit commitment(SCUC)model for the IEGS to schedule the operation and reserve simultaneously considering reliability ***,the multi-state models for generating units and gas wells are *** on the multi-state models,the expected unserved energy cost(EUEC)and the expected wind curtailment cost(EWC)criteria are proposed based on probabilistic methods considering wind fluctuation and random failures of components in ***,the EUEC and EWC criteria are incorporated into the day-ahead SCUC model,which is nonconvex and mathematically reformulated into a solvable mixed-integer second-order cone programming(MISOCP)*** proposed model is validated using an IEEE 30-bus system and Belgium 20-node natural gas *** results demonstrate that the proposed model can effectively schedule the energy reserve to guarantee the reliable operation of the IEGS considering the multiple uncertainties in different subsystems and the cross-sectorial failure propagation.

关键词： Integrated electricity and natural gas system(IEGS) natural gas reserve electric reserve expected unserved energy cost expected wind curtailment multi-state model operational reliability

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Revisit power system dispatch:Concepts,models,and solutions

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iEnergy 2023年第1期2卷 43-62页

作者： Zhifang Yang Pei Yong Mingxu Xiang State Key Laboratory of Power Transmission Equipment&System Security and New Technology College of Electrical EngineeringChongqing UniversityChongqing 400044China State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China

Power system dispatch is a general concept with a wide range of *** is a special category of optimization problems that determine the operation pattern of the power system,resulting in a huge influence on the power system security,efficiency,and *** this paper,the power system dispatch problem is revisited from the *** paper provides a categorization of the dispatch problem,especially with an emphasis on industrial ***,this paper presents a detailed review of the dispatch *** common formulations of the dispatch problem are ***,this paper discusses the solutions of the dispatch problem and lists the major challenges.

关键词： Power system dispatch optimal power flow unit commitment energy storage

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