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Energy trading in microgrids for synergies among electricity, hydrogen and heat networksi

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arXiv 2020年

作者： Zhu, Dafeng Yang, Bo Liu, Qi Ma, Kai Zhu, Shanying Guan, Xinping Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China School of Electrical Engineering Yanshan University Qinhuangdao066004 China

In this paper, an energy trading mechanism among microgrids is introduced to incentive them to share extra electricity, in order to balance renewable energy generation and energy demand at a low cost. However, energy trading might not completely absorb the excess renewable energy, a multi-energy management framework including fuel cell vehicles, energy storage, combined heat and power (CHP) and renewable energy is proposed, and the characteristics and scheduling arrangements of fuel cell vehicles are considered to further realize the local absorption of renewable energy and enhance the economic benefits of microgrids. This work designs a joint energy scheduling and trading algorithm based on Lyapunov optimization and double auction to solve the optimization problem of microgrids, which guarantees the truthfulness of information, customers satisfaction and optimal benefits. The simulations based on real data evaluate the performance of the multi-energy management framework and demonstrate the effectiveness of the proposed algorithm. Copyright © 2020, The Authors. All rights reserved.

关键词： Scheduling

Changes in meat consumption can improve groundwater quality

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Nature food

Nature food 2025年 2025 Jun 13页

作者： Yang Zhan Zhilin Guo Joel Podgorski Zhengzhong Zeng Peng Xu Liqing Peng Kewei Chen Rixin Wu Chen Ding Charles Andrews Vladan Babovic Chunmiao Zheng State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Contamination Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen China. Guangdong-Hong Kong Joint Laboratory for Soil and Groundwater Pollution Control Southern University of Science and Technology Shenzhen China. Department of Civil and Environmental Engineering National University of Singapore Singapore Singapore. State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Contamination Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen China. guozl@***. Guangdong-Hong Kong Joint Laboratory for Soil and Groundwater Pollution Control Southern University of Science and Technology Shenzhen China. guozl@***. Department Water Resources and Drinking Water Eawag Swiss Federal Institute of Aquatic Science and Technology Dübendorf Switzerland. Institute of Surface-Earth System Science School of Earth System Science Tianjin University Tianjin China. World Resources Institute Washington DC USA. China-Canada Joint Center for Global Groundwater Sustainability Eastern Institute of Technology Ningbo China.

Large-scale, centralized livestock production is recognized as a significant contributor to environmental pollution, including groundwater contamination. Here we assess the impact of traditional meat production on nitrate contamination in groundwater across the contiguous USA from 1985 to 2020. In addition, we evaluate potential changes in groundwater quality resulting from the substitution of traditional meat sources with three alternative meat options. We find that substituting 10% of the protein intake from conventional meat sources with meat alternatives can lead to an average reduction of 3.4%, 10.7% and 4.5% in the required nitrogen fertilizer, manure and water footprint, respectively. This substitution could potentially decrease the risk of groundwater nitrate exceedance (concentration exceeding 10 mg l as N) by up to ~20%. These results highlight the potential of long-term dietary shifts to achieve Sustainable Development Goal (SDG) 6 and support other SDG targets.

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Low-latency federated learning over wireless channels with differential privacy

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arXiv 2021年

作者： Wei, Kang Li, Jun Ma, Chuan Ding, Ming Chen, Cailian Jin, Shi Han, Zhu Poor, H. Vincent School of Electrical and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China Data61 CSIRO SydneyNSW2015 Australia The Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China The National Mobile Communications Research Laboratory Southeast University Nanjing210096 China The Department of Electrical and Computer Engineering The University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul Korea Republic of The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States

In federated learning (FL), model training is distributed over clients and local models are aggregated by a central server. The performance of uploaded models in such situations can vary widely due to imbalanced data distributions, potential demands on privacy protections, and quality of transmissions. In this paper, we aim to minimize FL training delay over wireless channels, constrained by overall training performance as well as each client's differential privacy (DP) requirement. We solve this problem in the framework of multi-agent multiarmed bandit (MAMAB) to deal with the situation where there are multiple clients confornting different unknown transmission environments, e.g., channel fading and interferences. Specifically, we first transform the long-term constraints on both training performance and each client's DP into a virtual queue based on the Lyapunov drift technique. Then, we convert the MAMAB to a max-min bipartite matching problem at each communication round, by estimating rewards with the upper confidence bound (UCB) approach. More importantly, we propose two efficient solutions to this matching problem, i.e., modified Hungarian algorithm and greedy matching with a better alternative (GMBA), in which the first one can achieve the optimal solution with a high complexity while the second one approaches a better tradeoff by enabling a verified low-complexity with little performance loss. In addition, we develop an upper bound on the expected regret of this MAMAB based FL framework, which shows a linear growth over the logarithm of communication rounds, justifying its theoretical feasibility. Extensive experimental results are conducted to validate the effectiveness of our proposed algorithms, and the impacts of various parameters on the FL performance over wireless edge networks are also discussed. Copyright © 2021, The Authors. All rights reserved.

关键词： Multi agent systems

The Performance Evaluation and Resilience Analysis of Supply Chain Based on Logistics Network

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The Performance Evaluation and Resilience Analysis of Supply...

第三十九届中国控制会议

作者： Weiqi Sun Yuanlong Li Liangren Shi Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information Processing of the Ministry of Education Shanghai Key Laboratory of Navigation and Location-based Services and Academy of Information Technology and Electrical Engineering Shanghai Jiao Tong University

With the development of globalization, more and more enterprises are involved in the supply chain network with increasingly complex structure. In this paper, enterprises and relations in the logistics network are abstracted as nodes and edges of the complex network. A graph model for a supply chain network to specified industry is constructed, and the Neo4 j graph database is employed to store the graph data. This paper uses the theoretical research tool of complex network to model and analyze the supply chain, and designs a supply chain network evaluation system which include static and dynamic measurement indexes according to the statistical characteristics of complex network. In this paper both the static and dynamic resilience characteristics of the the constructed supply chain network are evaluated from the perspective of complex network. The numeric experimental simulations are conducted for validation. This research has practical and theoretical significance for enterprises to make strategies to improve the anti-risk capability of supply chain network based on logistics network information.

关键词： Complex network Supply chain network Graph database Neo4j Resilience evaluation

Using smart meters for checking the topology and power flow calculation of a secondary distribution network

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Using smart meters for checking the topology and power flow ...

2019 Rudenko International Conference on Methodological Problems in Reliability Study of Large Energy systems, RSES 2019

作者： Golub, Irina Boloev, Evgeny Kuzkina, Yana Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences Department of Electric Power System Lermontov str. 130 Irkutsk664033 Russia Irkutsk National Research Technical University Institute of Power Engineering Department of Electric Power System Lermontov str. 83 Irkutsk664074 Russia Engineering Center irkutskenergo Department of Relay Protection and Automation Ryabikova str. 67 Irkutsk664043 Russia

The paper analyzes options of using smart meters for power flow calculation and for assessing the state of a real three-phase four-wire secondary distribution network based on measurements of average values of active and reactive power and of voltages. The work is based on the authors' research on allocation of measurements to ensure secondary distribution network observability and on selection of the most efficient method for linear and non-linear state estimation. The paper illustrates solution of a problem on identification composition of load nodes in the phases and reveals challenges related to voltage account in the neutral wire and in its grounding. © The Authors, published by EDP Sciences, 2019.

关键词： Smart meters

Continuous and comprehensive atmospheric observations in Beijing:a station to understand the complex urban atmospheric environment

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Big Earth Data 2020年第3期4卷 295-321页

作者： Yongchun Liu Chao Yan Zemin Feng Feixue Zheng Xiaolong Fan Yusheng Zhang Chang Li Ying Zhou Zhuohui Lin Yishou Guo Ying Zhang Li Ma Wenshuo Zhou Zhikun Liu Lubna Dada Kaspar Dallenbach Jenni Kontkanen Runlong Cai Tommy Chan Biwu Chu Wei Du Lei Yao Yonghong Wang Jing Cai Juha Kangasluoma Tom Kokkonen Joni Kujansuu Anton Rusanen Chenjuan Deng Yueyun Fu Rujing Yin Xiaoxiao Li Yiqun Lu Yiliang Liu Chaofan Lian Dongsen Yang Weigang Wang Maofa Ge Yuesi Wang Douglas R.Worsnop Heikki Junninen Hong He Veli-Matti Kerminen Jun Zheng Lin Wang Jingkun Jiang Tuukka Petaja Federico Bianchi Markku Kulmala Aerosol and Haze Laboratory Beijing Advanced Innovation Center for Soft Matter Science and EngineeringBeijing University of Chemical TechnologyBeijingChina Institute for Atmospheric and Earth System Research/Physics Faculty of ScienceUniversity of HelsinkiHelsinkiFinland State Key Joint Laboratory of Environment Simulation and Pollution Control State Environmental Protection Key Laboratory of Sources and Control of Air Pollution ComplexSchool of EnvironmentTsinghua UniversityBeijingChina State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijingChina Department of Environmental Science&Engineering Fudan UniversityShanghaiChina State Key Laboratory for Structural Chemistry of Unstable and Stable Species Beijing National Laboratory for Molecular SciencesInstitute of ChemistryChinese Academy of SciencesBeijingChina Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing University of Information Science&TechnologyNanjingChina State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina Aerodyne Research Inc. BillericaMassachusettsUSA Institute of Physics University of TartuTartuEstonia Joint International Research Laboratory of Atmospheric and Earth System Sciences School of Atmospheric SciencesNanjing UniversityNanjingChina

Due to profound impact on climate and human health,air quality has attracted attention from all levels of the civil *** key step in the provision of required tools for the society to tackle the complex air quality problem is to characterize it in a comprehensive manner with a long-term ***,we describe a continuous and comprehensive observation station and its accompanying state-ofthe-art instrumentation that was established to investigate the complex urban atmospheric environment in a rapidly developing Chinese *** station,located in downtown Beijing,aims to study air quality by identifying the major atmospheric pollutants and key processes determining their formation and loss mechanisms.A few hundreds of parameters are continuously measured with the state-of-the-art instruments,including trace gas concentrations,aerosol particle size distributions,and mass concentrations,covering aerosol particle chemical composition from molecules to micrometer-sized aerosol *** produced long-term,comprehensive big data with around 1�10^(11)bytes per *** this paper,we provide an overview on the facilities of the station,the instrumentation used,the workflow of continuous observations and examples of results from 2018 to 2019 and a basis for establishing a modern long-term,comprehensive atmospheric urban observation station in other megacities.

关键词： Continuous and comprehensive atmospheric observation air pollution complex photochemical smog haze new particle formation

Learning of long-horizon sparse-reward robotic manipulator tasks with base controllers

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arXiv 2020年

作者： Wang, Guangming Xin, Minjian Wu, Wenhua Liu, Zhe Wang, Hesheng Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai200240 China Department of Computer Science and Engineering University of California San Diego La Jolla CA92093 United States Department of Computer Science and Technology University of Cambridge CambridgeCB2 1TN United Kingdom

Deep Reinforcement Learning (DRL) enables robots to perform some intelligent tasks end-to-end. However, there are still many challenges for long-horizon sparse-reward robotic manipulator tasks. On the one hand, a sparse-reward setting causes exploration inefficient. On the other hand, exploration using physical robots is of high cost and unsafe. In this paper, we propose a method of learning long-horizon sparse-reward tasks utilizing one or more existing traditional controllers named base controllers in this paper. Built upon Deep Deterministic Policy Gradients (DDPG), our algorithm incorporates the existing base controllers into stages of exploration, value learning, and policy update. Furthermore, we present a straightforward way of synthesizing different base controllers to integrate their strengths. Through experiments ranging from stacking blocks to cups, it is demonstrated that the learned state-based or image-based policies steadily outperform base controllers. Compared to previous works of learning from demonstrations, our method improves sample efficiency by orders of magnitude and improves the performance. Overall, our method bears the potential of leveraging existing industrial robot manipulation systems to build more flexible and intelligent controllers. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep learning

Vertical profiles of biogenic volatile organic compounds as observed online at a tower in Beijing

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Journal of Environmental Sciences 2020年第9期32卷 33-42页

作者： Huina Zhang Yanli Zhang Zhonghui Huang WJoe FActon Zhaoyi Wang Eiko Nemitz Ben Langford Neil Mullinger Brian Davison Zongbo Shi Di Liu Wei Song Weiqiang Yang Jianqiang Zeng Zhenfeng Wu Pingqing Fu Qiang Zhang Xinming Wang State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization Guangzhou Institute of GeochemistryChinese Academy of SciencesGuangzhou 510640China Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of SciencesXiamen 361021China University of Chinese Academy of Sciences Beijing 100049China State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment and Guangdong Key Laboratory of Water and Air Pollution Control South China Institute of Environmental ScienceMinistry of Ecology and EnvironmentGuangzhou 510655China Lancaster Environment Centre Lancaster UniversityLancaster LA14YQUK Centre for Ecology and Hydrology Edinburgh EH260QBUK School of Geography Earth and Environmental Sciences University of BirminghamBirmingham B152TTUK Institute of Surface-Earth System Science Tianjin UniversityTianjin 300072China Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology Department of Chemical EngineeringTsinghua UniversityBeijing 100084China

Vertical profiles of isoprene and monoterpenes were measured by a proton transfer reactiontime of flight-mass spectrometry(PTR-ToF-MS) at heights of 3,15,32,64,and 102 m above the ground on the Institute of Atmospheric Physics(IAP) tower in central Beijing during the winter of 2016 and the summer of *** mixing ratios were larger in summer due to much stronger local emissions whereas monoterpenes were lower in summer due largely to their consumption by much higher levels of *** mixing ratios were the highest at the 32 m in summer(1.64±0.66 ppbV) and at 15 m in winter(1.41±0.64 ppbV) with decreasing concentrations to the ground and to the 102 m,indicating emission from the tree canopy of the surrounding *** mixing ratios were the highest at the 3 m height in both the winter(0.71±0.42 ppbV) and summer(0.16±0.10 ppbV) with a gradual decreasing trend to 102 m,indicting an emission from near the ground *** lowest isoprene and monoterpene mixing ratios all occurred at 102 m,which were 0.71±0.42 ppbV(winter) and 1.35±0.51 ppbV(summer) for isoprene,and 0.42±0.22 ppbV(winter) and0.07±0.06 ppbV(summer) for *** in the summer and monoterpenes in the winter,as observed at the five heights,showed significant mutual *** the winter monoterpenes were positively correlated with combustion tracers CO and acetonitrile at 3 m,suggesting possible anthropogenic sources.

关键词： winter Vertical mixing

Real-time trajectory generation for quadrotors using b-spline based non-uniform kinodynamic search

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arXiv 2019年

作者： Tang, Lvbang Wang, Hesheng Li, Peng Wang, Yong Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Beijing Institute of Control Engineering

In this paper, we propose a time-efficient approach to generate safe, smooth and dynamically feasible trajectories for quadrotors in the obstacle-cluttered environment. By using the uniform B-spline to represent trajectories, we transform the trajectory planning to a graph-search problem of B-spline control points in discretized space. Highly strict convex hull property of B-spline is derived to guarantee the dynamical feasibility of the entire trajectory. A novel non-uniform kinodynamic search strategy is adopted, and the step length is dynamically adjusted during the search process according to the Euclidean signed distance field (ESDF), making the trajectory achieve reasonable time-allocation and be away from obstacles. Nonstatic initial and goal states are allowed, therefore it can be used for online local replanning as well as global planning. Extensive simulation and hardware experiments show that our method achieves higher performance compared with the state-of-the-art method. Copyright © 2019, The Authors. All rights reserved.

关键词： Trajectories