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Distributed energy management for interconnected operation of combined heat and power-based microgrids with demand response

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Journal of Modern power systems and Clean Energy 2017年第3期5卷 478-488页

作者： Nian LIU Jie WANG Lingfeng WANG State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijingChina Department of Electrical Engineering and Computer Science University of Wisconsin-MilwaukeeMilwaukeeWIUSA

From the perspective of transactive energy, the energy trading among interconnected microgrids(MGs) is promising to improve the economy and reliability of system operations. In this paper, a distributed energy management method for interconnected operations of combined heat and power(CHP)-based MGs with demand response(DR) is proposed. First, the system model of operational cost including CHP, DR, renewable distributed sources, and diesel generation is introduced, where the DR is modeled as a virtual generation unit. Second, the optimal scheduling model is decentralized as several distributed scheduling models in accordance with the number of associated MGs. Moreover, a distributed iterative algorithm based on subgradient with dynamic search direction is proposed. During the iterative process, the information exchange between neighboring MGs is limited to Lagrange multipliers and expected purchasing energy. Finally,numerical results are given for an interconnected MGs system consisting of three MGs, and the effectiveness of the proposed method is verified.

关键词： Interconnected microgrids Energy management Distributed optimization Demand response Combined heat and power(CHP)

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OpenHI2 - Open source histopathological image platform

OpenHI2 - Open source histopathological image platform

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IEEE International Conference on Bioinformatics and Biomedicine

作者： Pargorn Puttapirat Haichuan Zhang Jingyi Deng Yuxin Dong Jiangbo Shi Hongyu He Zeyu Gao Chunbao Wang Xiangrong Zhang Chen Li National Engineering Lab for Big Data Analytics Xi'an Jiao tong University Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Tech. R&D Xi'an Jiaotong University Department of Power System and Automation School of Electrical Engineering Xi'an Jiaotong University Department of Pathology the First Affiliated Hospital of Xi'an Jiaotong University Institute of Intelligent Information Processing Xidian University

ISBN: (纸本)9781728118680

Transition from conventional to digital pathology requires a new category of biomedical informatic infrastructure which could facilitate delicate pathological routine. Pathological diagnoses are sensitive to many external factors and is known to be subjective. Only systems that can meet strict requirements in pathology would be able to run along pathological routines and eventually digitized the area, and the developed platform should comply with existing pathological routines and international standards. Currently, there are a number of available software tools which can perform histopathological tasks including virtual slide viewing, annotating, and basic image analysis, however, none of them can serve as a digital platform for pathology. Here we describe OpenHI2, an enhanced version Open Histopathological Image platform which is capable of supporting all basic pathological tasks and file formats;ready to be deployed in medical institutions on a standard server environment or cloud computing infrastructure. In this paper, we also describe the development decisions for the platform and propose solutions to overcome technical challenges including responsive region retrieval and viewing, virtual slide magnification, recording of diagnostic areas. These factors would promote OpenHI2 be used as a platform for histopathological images in real-world clinical settings. Furthermore, in research, OpenHI2 inherited the annotation functionality from the previous version, thus acquired annotations can be directly utilized by the newly added machine learning module which include popular machine learning models to perform tasks such as histology image classification and segmentation in the same environment. Addition can be made to the platform since each component is modularized and fully documented. OpenHI2 is free, open-source, and available at .

关键词： OpenHI digital pathology histopathological image analysis open source software open source software pathology Platform Software Tools open source Religious Missions External factors images

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arXiv

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arXiv 2020年

作者： Li, Jiashuo Zhou, Sili Wei, Wendong Qi, Jianchuan Li, Yumeng Chen, Bin Zhang, Ning Guan, Dabo Qian, Haoqi Wu, Xiaohui Miao, Jiawen Chen, Long Liang, Sai Feng, Kuishuang Institute of Blue and Green Development Shandong University Weihai264209 State Key Laboratory of Coal Combustion School of Energy and Power Engineering Huazhong University of Science and Technology Wuhan430074 China School of International and Public Affairs Shanghai Jiao Tong University Shanghai200030 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Beijing Normal University Beijing100875 China Laboratory of Anthropogenic Systems Ecology College of Engineering Peking University Beijing100871 China Department of Earth System Science Tsinghua University Beijing100871 China Institute for Global Public Policy Fudan University Shanghai200433 China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China Key Laboratory of Geographic Information Science Ministry of Education School of Geographic Sciences East China Normal University Shanghai200241 China

China has implemented retrofitting measures in coal-fired power plants (CFPPs) to reduce air pollution through small unit shutdown (SUS), the installation of air pollution control devices (APCDs) and power generation efficiency (PGE) improvement. The reductions in highly toxic Hg emissions and their related health impacts by these measures have not been well studied. To refine mitigation options, we evaluated the health benefits of reduced Hg emissions via retrofitting measures during China's 12th Five-Year Plan by combining plant-level Hg emission inventories with the China Hg Risk Source-Tracking Model. We found that the measures reduced Hg emissions by 23.5 tons (approximately 1/5 of that from CFPPs in 2010), preventing 0.0021 points of per-foetus intelligence quotient (IQ) decrements and 114 deaths from fatal heart attacks. These benefits were dominated by CFPP shutdowns and APCD installations. Provincial health benefits were largely attributable to Hg reductions in other regions. We also demonstrated the necessity of considering human health impacts, rather than just Hg emission reductions, in selecting Hg control devices. This study also suggests that Hg control strategies should consider various factors, such as CFPP locations, population densities and trade-offs between reductions of total Hg (THg) and Hg2+. Copyright © 2020, The Authors. All rights reserved.

关键词： Fossil fuel power plants

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Ontology-Based Academic Article Recommendation 15

Ontology-Based Academic Article Recommendation

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15th International computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2018

作者： Chughtai, Gohar Rehman Lee, Jia Kabir, Asif Abbasi, Rashid Shehzad Hassan, Muhammad Arshad College of Computer Science Chongqing University Chongqing400044 China Department of Computer Science University of Kotli AJ and K Kotli11100 Pakistan College of Computer Science and Technology Anhui University Hefei230601 China State Key Laboratory of Power Transmission Equipment System Security and New Technology School of Electrical Engineering Chongqing University Chongqing400044 China

ISBN: (纸本)9781728115351

The qualitative analysis of scientific production in the tome of scientific literature is based on the article recommendation to peer reviewers by the venues (journal, conferences), which is usually done by editor of any venue. The better classification of an article depends upon the ontologies or concepts presented in it. It has been observed that venues provide a very abstract classification of the topic which can't be topic-specific classification. In this write-up, we have proposed ontology-based category classification of an article which is not only extracted through the particular article but also from the cited articles which can give us more insight into the topic-specific categorization and also give us the homogeneity of ontologies of the cited article with reference to any particular article. Simulation has been done over the data set from the web of science. For the better understanding and its implication, we narrow our data set to just computer science subject. © 2018 IEEE.

关键词： Ontology

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Robust power flow and three-phase power flow analyses

arXiv

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arXiv 2018年

作者： Pandey, Amritanshu Jereminov, Marko Wagner, Martin R. Bromberg, David M. Hug, Gabriela Pileggi, Larry Electrical and Computer Engineering Department Carnegie Mellon University PittsburghPA15213 United States Power System Laboratory ETH Zurich Switzerland

Robust simulation is essential for reliable operation and planning of transmission and distribution power grids. At present, disparate methods exist for steady-state analysis of the transmission (power flow) and distribution power grid (three-phase power flow). Due to the non-linear nature of the problem, it is difficult for alternating current (AC) power flow and three-phase power flow analyses to ensure convergence to the correct physical solution, particularly from arbitrary initial conditions, or when evaluating a change (e.g. contingency) in the grid. In this paper, we describe our equivalent circuit formulation approach with current and voltage variables that models both the positive sequence network of the transmission grid and three-phase network of the distribution grid without loss of generality. The proposed circuit models and formalism enable the extension and application of circuit simulation techniques to solve for the steady-state solution with excellent robustness of convergence. Examples for positive sequence transmission and three-phase distribution systems, including actual 75k+ nodes Eastern Interconnection transmission test cases and 8k+ nodes taxonomy distribution test cases, are solved from arbitrary initial guesses to demonstrate the efficacy of our approach. Copyright © 2018, The Authors. All rights reserved.

关键词： Equivalent circuits

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Deep Learning based Downlink Channel Prediction for FDD Massive MIMO system

arXiv

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arXiv 2019年

作者： Yang, Yuwen Gao, Feifei Li, Geoffrey Ye Jian, Mengnan Department of Automation Tsinghua University Beijing100084 China Key Laboratory of Digital TV System of Guangdong Province and Shenzhen City Research Institute of Tsinghua University in Shenzhen Shenzhen518057 China School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA United States Department of Algorithm Wireless Product R&D Institute ZTE Corporation Beijing100029 China

In a frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system, the acquisition of downlink channel state information (CSI) at base station (BS) is a very challenging task due to the overwhelming overheads required for downlink training and uplink feedback. In this paper, we reveal a deterministic uplink-to-downlink mapping function when the position-to-channel mapping is bijective. Motivated by the universal approximation theorem, we then propose a sparse complex-valued neural network (SCNet) to approximate the uplink-to-downlink mapping function. Different from general deep networks that operate in the real domain, the SCNet is constructed in the complex domain and is able to learn the complex-valued mapping function by off-line training. After training, the SCNet is used to directly predict the downlink CSI based on the estimated uplink CSI without the need of either downlink training or uplink feedback. Numerical results show that the SCNet achieves better performance than general deep networks in terms of prediction accuracy and exhibits remarkable robustness over complicated wireless channels, demonstrating its great potential for practical deployments. Copyright © 2019, The Authors. All rights reserved.

关键词： Channel state information

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Semi-Global Output Containment Control of Linear Multi-Agent systems with Actuator Saturation

Semi-Global Output Containment Control of Linear Multi-Agent...

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Chinese Control Conference (CCC)

作者： Liangren Shi Zongli Lin Department of Automation Key Laboratory of System Control Shanghai China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville U.S.A.

In this paper, we study the semi-global output containment control problem of a multi-agent system in the presence of actuator saturation over a directed network. The leader and follower agents are of different dynamics, and the follower agents are affected by disturbances generated by the leader agents through directed paths in the communication topology. The control objective of the output containment control is to drive the output trajectories of the follower agents to converge to the convex hull spanned by the outputs of the leader agents in the presence of disturbances. Low gain feedback containment protocols are constructed based on the output regulation approach and distributed observers. It is shown that semi-global output containment control can be achieved by the proposed protocols, if each follower agent is connected to at least one leader agent through a directed path in the communication topology. Simulation results verify the theoretical conclusions.

关键词： Multi-agent systems Observers Actuators Protocols Topology Trajectory Eigenvalues and eigenfunctions

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Conditions for Global Asymptotic Stabilizability of the Double Integrator system with Output Saturation

Conditions for Global Asymptotic Stabilizability of the Doub...

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第37届中国控制会议

作者： Yuanlong Li Zongli Lin Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information Processing of Ministry of Education Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

In this paper we revisit the problem of global asymptotic stabilization of the double integrator system subject to output *** first observe that the double integrator system cannot be asymptotically stabilized by linear static output *** then establish that there exist linear dynamic output feedback laws that globally asymptotically stabilize the double integrator system subject to output *** determination of the linear output feedback laws is presented in the form of an *** results illustrate that the linear dynamic output feedback laws have the ability to achieve global asymptotic stabilization of the double integrator system subject to output saturation.

关键词： Double integrator Output saturation Global asymptotic stabilization

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A Two-Stage Algorithm to Harvest Maximum power from Photovoltaic system

A Two-Stage Algorithm to Harvest Maximum Power from Photovol...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Muhammad Hanan Xin Ai Muhammad Yaqoob Javed Muhammad Majid Gulzar Saqib Ahmad State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing China Department of Electrical & Computer Engineering COMSATS University Islamabad Lahore Punjab Pakistan Department of Electrical Engineering University of Central Punjab Lahore Punjab Pakistan

Photovoltaic (PV) systems are gradually becoming the key renewable source of electrical energy. But the nonlinear characteristics of the PV module require special techniques to harvest maximum power. The techniques used to track the Maximum power Point (MPP) from the nonlinear I-V characteristics through power electronic circuits are known as Maximum power Point Tracking (MPPT) techniques. Although enormous MPPT techniques have been anticipated in literature, each endures its own advantages and disadvantages. This paper proposes a novel hybrid technique to enhance the performance of Incremental conductance (InC) technique. Our proposed technique removes the limitations of InC under rapid changing environmental condition. It improves the efficiency and reduces the oscillation power loss under steady state. A hybrid combination of variable-step sized Incremental Conductance with Fractional Short Circuit Current (FSCC) technique is proposed in this research work. Initially, the FSCC forces the PV system to work near MPP and then InC technique track the exact peak. Matlab/Simulink software is used to implement the proposed hybrid technique. Finally, the results verify its superior performance under rapidly changing environmental conditions.

关键词： power capacitors Short-circuit currents Maximum power point trackers Time factors Mathematical model power systems Renewable energy sources

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Optimum Aggregation and Control of Spatially Distributed Flexible Resources in Smart Grid

Optimum Aggregation and Control of Spatially Distributed Fle...

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IEEE General Meeting power& Energy Society

作者： Bishnu Bhattarai Iker Diaz de Cerio Mendaza kurt Myers Birgitte Bak-Jensen Sumit Paudyal Department of Power and Energy Systems Idaho National Laboratory System planning Energinet.dk Department of Energy Technology Aalborg University Department of Electrical and Computer Engineering Michigan Technological University

ISBN: (纸本)9781538677049;9781538677032

This study presents an algorithm to optimally aggregate spatially distributed flexible resources at strategic microgrid/smart-grid locations. The aggregation reduces a distribution network having thousands of nodes to an equivalent network with a few aggregated nodes, thereby enabling distribution system operators (DSOs) to make faster operational decisions. Moreover, the aggregation enables flexibility from small distributed flexible resources to be traded to different power and energy markets. A hierarchical control architecture comprising a combination of centralized and decentralized control approaches is proposed to practically deploy the aggregated flexibility. The proposed method serves as a great operational tool for DSOs to decide the exact amount of required flexibilities from different network section(s) for solving grid constraint violations. The effectiveness of the proposed method is demonstrated through simulation of three operational scenarios in a real low voltage distribution system having high penetrations of electric vehicles and heat pumps. The simulation results demonstrated that the aggregation helps DSOs not only in taking faster operational decisions, but also in effectively utilizing the available flexibility.

关键词： Smart grids Planning Aggregates computer architecture Decentralized control Tools Low voltage

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