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Data-driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 874-885页

作者： Wenlong Liao Dechang Yang Qi Liu Yixiong Jia Chenxi Wang Zhe Yang Wind Engineering and Renewable Energy Laboratory Ecole Polytechnique Federale de Lausanne(EPFL)Lausanne 1015Switzerland the College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China the department of Electrical and Electronic Engineering(Energy digitalization Laboratory) The University of Hong KongHong KongChina the department of Electrical Engineering The Hong Kong Polytechnic UniversityHong KongChina

Reactive power optimization of distribution networks is traditionally addressed by physical model based methods,which often lead to locally optimal solutions and require heavy online inference time *** improve the quality of the solution and reduce the inference time burden,this paper proposes a new graph attention networks based method to directly map the complex nonlinear relationship between graphs(topology and power loads)and reactive power scheduling schemes of distribution networks,from a data-driven *** graph attention network is tailored specifically to this problem and incorporates several innovative features such as a self-loop in the adjacency matrix,a customized loss function,and the use of max-pooling ***,a rulebased strategy is proposed to adjust infeasible solutions that violate *** results on multiple distribution networks demonstrate that the proposed method outperforms other machine learning based methods in terms of the solution quality and robustness to varying load ***,its online inference time is significantly faster than traditional physical model based methods,particularly for large-scale distribution networks.

关键词： Reactive power optimization graph neural network distribution network machine learning data-driven

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Explore the lane change trajectory pattern driven by full-time domain trajectory data

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Journal of Traffic and Transportation Engineering(English Edition) 2024年

作者： Min Zhang Yuhan Nie Bo Wang Chi Zhang Yuming Zhou Yijing Zhao School of Transportation Engineering， Chang'an University Engineering Research Center of Highway Infrastructure digitalization， Ministry of Education School of Highway Chang'an University School of Civil and Environmental Engineering， Nanyang Technological University

Due to the increasing density and complexity of the highway network， a deep understanding of the characteristics of lane changing (LC) behavior is crucial for road refinement design. The emergence of full time domain trajectory big data provides unprecedented opportunities for in-depth research on highway safety geometry design. This article proposes a method framework for extracting LC trajectory patterns to explore the combination trajectory patterns during the LC process. This article achieves subdivision in driving mode detection by using the Adaptive Pruned Exact Linear Time (APELT) algorithm to detect change points， taking into account the short sequence features of LC. In order to achieve the classification of segmented fragments， we report a clustering technique based on similarity matching (SM)， which can effectively avoid the problem of excessive distortion in similarity measurement. The results indicate that APELT technology has certain advantages in F1 score and accuracy of LC pattern recognition， which is more in line with reality. The kappa score based on similarity matching is greater than 0.8， indicating high accuracy of pattern recognition. This study provides a novel data mining method for a comprehensive understanding of lane changing behavior under full time domain big data， which will provide reference for road design in complex scenes.

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Distributed Energy and Reserve Scheduling in Local Energy Communities Using L-BFGS Optimization

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 942-952页

作者： Mohammad Dolatabadi Alireza Zakariazadeh Alberto Borghetti Pierluigi Siano department of Management&Innovation Systems University of SalernoSalernoItaly department of Electrical Electronicand Information EngineeringUniversity of BolognaBolognaItaly University of Science and Technology of Mazandaran BehshahrIran department of Power Systems National University of Science and Technology POLITEHNICA BucharestBucharestRomania IEEE

Encouraging citizens to invest in small-scale renewable resources is crucial for transitioning towards a sustainable and clean energy *** energy communities(LECs)are expected to play a vital role in this ***,energy scheduling in LECs presents various challenges,including the preservation of customer privacy,adherence to distribution network constraints,and the management of computational *** paper introduces a novel approach for energy scheduling in renewable-based LECs using a decentralized optimization *** proposed approach uses the Limitedmemory Broyden–Fletcher–Goldfarb–Shanno(L-BFGS)method,significantly reducing the computational effort required for solving the mixed integer programming(MIP)*** incorporates network constraints,evaluates energy losses,and enables community participants to provide ancillary services like a regulation reserve to the grid *** assess its robustness and efficiency,the proposed approach is tested on an 84-bus radial distribution *** indicate that the proposed distributed approach not only matches the accuracy of the corresponding centralized model but also exhibits scalability and preserves participant privacy.

关键词： Distributed optimization flexibility services L-BFGS method local energy community renewables reserve

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Blockchain-enabled decentralized identity management:The case of self-sovereign identity in public transportation

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Blockchain(Research and Applications) 2021年第2期2卷 50-67页

作者： Lukas Stockburger Georgios Kokosioulis Alivelu Mukkamala Raghava Rao Mukkamala Michel Avital department of digitalization Copenhagen Business SchoolHowitzvej 60FrederiksbergDK-2000Denmark department of Technology Kristiania University CollegeKirkegata 24-260153 OsloNorway

Identity management has been ripe for disruption over the past few years due to recurring incidents of data breaches that have led to personal information leaks and identity *** rise of blockchain technology has paved the way for the development of self-sovereign identity(SSI)—a new class of user-controlled resilient identity management systems that are enabled by distributed ledger *** paper examines how SSI management can be used in a public transportation sector that spans different operators in multiple ***,the paper explores how a blockchain-based decentralized identity management system can draw on the SSI framework to provide high-level security and transparency for all involved parties in public transportation ***,building on analyses of the existing public transportation ticketing solutions,we elicited requirements of a comparable system based on the SSI ***,we developed a low-fidelity prototype to showcase how passengers can utilize standardized travel credentials that are valid across different transportation networks in *** proposed system eliminates the need for multiple travel cards(i.e.,one for each transportation provider)and empowers individuals to have better control over the use of their identities while they utilize interoperable ticketing systems across ***,building on the public transportation case,we offer a proof-of-concept that shows how individuals can better manage their identity credentials via the SSI framework.

关键词： Identity management Self-sovereign identity Blockchain Distributed ledger Intelligent transport systems Payment systems infrastructure

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Vegetation physiological parameter setting in the Simple Biosphere model 2(SiB2) for alpine meadows in the upper reaches of Heihe river

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Science China Earth Sciences 2015年第5期58卷 755-769页

作者： LI Yuan SUN Rui LIU Shao Min State Key Laboratory of Remote Sensing Science Beijing Normal University and Institute of Remote Sensing and Digital Earth CAS School of Geography Beijing Normal University Beijing Key Laboratory of Environmental Remote Sensing and City digitalization department of Civil Engineering Monash University

Land surface process modeling of high and cold area with vegetation cover has not yielded satisfactory results in previous applications. In this study, land surface energy budget is simulated using a land surface model for the A'rou meadow in the upper-reach area of the Heihe River Basin in the eastern Tibetan Plateau. The model performance is evaluated using the in-situ observations and remotely sensed data. Sensible and soil heat fluxes are overestimated while latent heat flux is underestimated when the default parameter setting is used. By analyzing physical and physiological processes and the sensitivities of key parameters, the inappropriate default setting of optimum growth and inhibition temperatures is identified as an important reason for the bias. The average daytime temperature during the period of fastest vegetation growth(June and July) is adopted as the optimum growth temperature, and the inhibition temperatures were adjusted using the same increment as the optimum temperature based on the temperature acclimation. These adjustments significantly reduced the biases in sensible, latent, and soil heat fluxes.

关键词： SiB2 land surface process alpine meadow Heihe River Basin Tibetan Plateau

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Resilience Enhancement of Urban Energy Systems via Coordinated Vehicle-to-grid Control Strategies

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CSEE Journal of Power and Energy Systems 2023年第2期9卷 433-443页

作者： Lascelle Mauricette Zihang Dong Linan Zhang Xi Zhang Ning Zhang Goran Strbac department of Electrical and Electronic Engineering Imperial College LondonLondon SW72AZUnited Kingdom department of Grid digitalization Technology State Grid Smart Grid Research Institute Co.LtdBeijing 102209China State Key Lab of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China

Coordinated vehicle-to-grid(V2G)control strategies can sustain essential loads of an energy system during islanding,thereby increasing *** this context,this paper investigates the resilience enhancement benefits of smart V2G control,the value of electric vehicle(EV)owner cooperation on system resilience,as well as the complementary effects of PV and EV interaction in an urban multi-energy microgrid(MEMG).By using a rolling horizon approach to optimize day-ahead operation of the MEMG and subsequently dispatching EVs,uncertainties in outage start time,EV arrival/departure times,and initial state of charge(SOC)are *** show that smart V2G control can provide a substantial essential load curtailment reduction compared to a non-EV scenario,meanwhile,non-coordinated grid-to-vehicle(G2V)operation was shown to slightly burden the system with a slight increase in non-essential load *** into the influence of EV cooperation on resilience showed that a high percentage of system-prioritized(SP)EVs could help greatly further reduce essential load curtailment compared to individual-prioritized(IP)***,the complementary benefits of smart V2G control and PV were demonstrated,showing a reduction in both PV and essential load curtailments with increasing numbers of ***,the application of smart V2G control,especially with cooperation of EV owners,can drive significant resilience enhancement during islanding,while further benefits can be obtained through having a sufficient number of EVs to utilize high PV penetration.

关键词： Multi-energy system renewable energy sources resilience rolling horizon optimization vehicle-to-grid

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Reinforcement Learning in Process Industries:Review and Perspective

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 283-300页

作者： Oguzhan Dogru Junyao Xie Om Prakash Ranjith Chiplunkar Jansen Soesanto Hongtian Chen Kirubakaran Velswamy Fadi Ibrahim Biao Huang department of Chemical and Materials Engineering University of AlbertaEdmontonT6G 1H9Canada IEEE

This survey paper provides a review and perspective on intermediate and advanced reinforcement learning(RL)techniques in process industries. It offers a holistic approach by covering all levels of the process control hierarchy. The survey paper presents a comprehensive overview of RL algorithms,including fundamental concepts like Markov decision processes and different approaches to RL, such as value-based, policy-based, and actor-critic methods, while also discussing the relationship between classical control and RL. It further reviews the wide-ranging applications of RL in process industries, such as soft sensors, low-level control, high-level control, distributed process control, fault detection and fault tolerant control, optimization,planning, scheduling, and supply chain. The survey paper discusses the limitations and advantages, trends and new applications, and opportunities and future prospects for RL in process industries. Moreover, it highlights the need for a holistic approach in complex systems due to the growing importance of digitalization in the process industries.

关键词： Process control process systems engineering reinforcement learning

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Transformative Innovation Policy:A Case-Study from China

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Innovation and Development Policy 2021年第1期3卷 21-37页

作者： Alan Irwin Tara Qian Sun department of Organization Copenhagen Business SchoolFrederiksberg 2000Denmark department of digitalization Copenhagen Business SchoolFrederiksberg 2000Denmark

Science,technology and innovation policy has been presented as developing through three"frames":innovation for growth;national systems of innovation;and transformative change(Schot and Steinmueller,2018).In this paper,we focus on the third frame by exploring the development of transformative innovation policy in *** specifically,we present a case analysis of the Beautiful China Initiative(BCI).Within this context,we analyse participating actors,activities,and modes of *** conclusion,we discuss three general challenges of transformative innovation policy at a national and international *** first challenge is coordination and interaction between governmental agencies and other actors with different responsibilities and ***,there is a major set of issues related to"development",which must encompass economic development but also societal and environmental ***,BCI fits with a broad understanding of the innovation process,including elements which are not directly commercial in *** this broader approach can be maintained as BCI develops from its still-early stage into full development will represent a significant *** in this paper,we consider the implications of our discussion for future research and practice,and offer three *** particular,we emphasise the importance of scholars’participation across the social sciences rather than leaving this multi-faceted area only to innovation researchers.

关键词： transformative innovation innovation policy China environmental challenges

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High-Performance Perovskite Quantum Dot Solar Cells Enabled by Incorporation with Dimensionally Engineered Organic Semiconductor

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Nano-Micro Letters 2022年第12期14卷 272-285页

作者： Seyeong Lim Dae Hwan Lee Hyuntae Choi Yelim Choi Dong Geon Lee Sung Beom Cho Seonkyung Ko Jongmin Choi Younghoon Kim Taiho Park department of Chemical Engineering Pohang University of Science and Technology(POSTECH)Pohang 37673Republic of Korea department of Materials Science and Engineering Hanyang UniversitySeoul 04763Republic of Korea Center of Materials digitalization Korea Institute of Ceramic Engineering and Technology(KICET)Jinju 52851Republic of Korea department of Materials Science and Engineering Ajou UniversitySuwon 16499Republic of Korea department of Energy Science and Engineering Daegu Gyeongbuk Institute of Science and Technology(DGIST)Daegu 42988Republic of Korea department of Chemistry Kookmin UniversitySeoul 02707Republic of Korea

Perovskite quantum dots(PQDs)have been considered promising and effective photovoltaic absorber due to their superior optoelectronic properties and inherent material merits combining perovskites and ***,they exhibit low moisture stability at room humidity(20-30%)owing to many surface defect sites generated by inefficient ligand exchange *** surface traps must be re-passivated to improve both charge transport ability and moisture *** address this issue,PQD-organic semiconductor hybrid solar cells with suitable electrical properties and functional groups might dramatically improve the charge extraction and defect *** organic semiconductors are typically low-dimensional(1D and 2D)and prone to excessive self-aggregation,which limits chemical interaction with *** this work,we designed a new 3D star-shaped semiconducting material(Star-TrCN)to enhance the compatibility with *** robust bonding with Star-TrCN and PQDs is demonstrated by theoretical modeling and experimental *** Star-TrCN-PQD hybrid films show improved cubic-phase stability of CsPbI_(3)-PQDs via reduced surface trap states and suppressed moisture *** a result,the resultant devices not only achieve remarkable device stability over 1000 h at 20-30%relative humidity,but also boost power conversion efficiency up to 16.0%via forming a cascade energy band structure.

关键词： CsPbI3 quantum dots Star-shaped organic semiconductors Hybrid perovskite quantum dots Solar cell stability High-efficiency photovoltaics

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Smart contract applications in the built environment: How prepared are Nigerian construction stakeholders?

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Frontiers of Engineering Management 2024年第1期11卷 50-61页

作者： Andrew EBEKOZIEN Clinton AIGBAVBOA Samuel Adeniyi ADEKUNLE Mohamad Shaharudin SAMSURIJAN John ALIU Bernard Martins ARTHUR-AIDOO Godpower Chinyeru AMADI department of Construction Management and Quantity Surveying University of JohannesburgJohannesburg 2006South Africa School of Social Sciences Universiti Sains MalaysiaGelugor11800 USM PenangMalaysia department of Quantity Surveying Auchi PolytechnicAuchiNigeria Institute for Resilient Infrastructure Systems College of EngineeringUniversity of GeorgiaAthensGA 30602USA department of Building Technology Faculty of Built EnvironmentAccra Technical UniversityAccraGhana Nigerian Institute of Management Port HarcourtNigeria

Studies have demonstrated that advanced technology,such as smart contract applications,can enhance both pre-and post-contract administration within the built environment *** contract technology,exemplifying blockchain technologies,has the potential to improve transparency,trust,and the security of data transactions within this ***,there is a dearth of academic literature concerning smart contract applications within the construction industries of developing countries,with a specific focus on ***,this study seeks to explore the relevance of smart contract technology and address the challenges impeding its adoption,offering strategies to mitigate the obstacles faced by smart contract *** investigate the stakeholders,this research conducted 14 virtual interview sessions to achieve data *** interviewees encompassed project management practitioners,senior management personnel from construction companies,experts in construction dispute resolution,professionals in construction software,and representatives from government construction *** data obtained from these interviews underwent thorough analysis employing a thematic *** study duly recognizes the significance of smart contract applications within the *** the 12 identified barriers,issues such as identity theft and data leakage,communication and synchronization challenges,high computational expenses,lack of driving impetus,excessive electricity consumption,intricate implementation processes,absence of a universally applicable legal framework,and the lack of a localized legal framework were recurrent impediments affecting the adoption of smart contract applications within the *** study also delves into comprehensive measures to mitigate these *** conclusion,this study critically evaluates the relevance of smart contract applications within the built environment,with a specific focus on promoting their *** may serve

关键词： built environment industry digitalization Nigeria smart contract technological revolution

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