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The establishment of real time simulation platform of AC / DC system based on power electronic transformer

IOP Conference Series: Earth and Environmental Science 2021年第1期675卷

作者： Xing Zhang Yang Li Guoqing He State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems China Electric Power Research Institute (CEPRI) Beijing China

This paper presents a real-time simulation platform of a AC/DC hybrid system using embedded simulators as kernel components, where the power electronic transformer (PET) is established by VHDL to break through the limitation of maximum emulatable switches in MATLAB/Simulink. Other components in the hybrid system including DC/DC converter, DC/AC converter and renewable generation units are simulated on CPU computing units. High-speed communication interface is used to ensure microsecond-level simulation step. Hardware-In-The-Loop (HIL) tests are taken to validate the proposed simulation platform.

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Research on AC/DC hybrid system real-time simulation progress improvement

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IOP Conference Series: Earth and Environmental Science 2021年第1期675卷

作者： Yang Li Guoqing He Xing Zhang State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems China Electric Power Research Institute (CEPRI) Beijing China

In order to improve the accuracy of real-time simulation of power electronic transformers, all models are based on FPGA modeling, and a mathematical model of power electronic transformers suitable for FPGA operations has been established. Aiming at the simulation error caused by multi-rate simulation, this paper analyzes the source of simulation error, proposes a step wave average communication algorithm, which improves the oscillation and jitter of simulation results. The simulation platform is connected to the real controller of power electronics and the real controller of new energy generation unit. The real-time simulation verification is carried out for the dynamic characteristics, control performance and stability of AC / DC system. The simulation results verify the reliability and practicability of the simulation platform.

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CAI combustion comparison between NVO strategy and EGRB strategy

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Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) 2011年第SUPPL. 1期41卷 47-52页

作者： Li, Hua Cheng, Peng Tan, Man-Zhi Gu, Yan-Hua Wang, Hui Peng, Ya-Ping Guo, Ying-Nan State Key Laboratory of Automotive Simulation and Control Jilin University Changchun 130022 China Beijing Polytechnic College Beijing 100042 China System and Function Development Technical Center United Automotive Electronic Systems Co. Ltd. Shanghai 201206 China

On the basis of self-developed electro-hydraulic variable valve train, controlled auto-ignition (CAI) was achieved under two different EGR strategies on a modified single cylinder engine. Stable CAI operating ranges of these two valve timing scenarios were obtained by plotting tested operating points. Within the operating range, engine performances and combustion features were analyzed. The experimental results indicate that operating range of NVO strategy, allowing more substantial adjustment of valve phase, is wider than that of EGRB strategy at fixed engine speed of 1000 r/min. The maximum BMEP of EGRB strategy slightly exceeds the NVO strategy. Moreover, brake thermal efficiency exceeds 30% in most of these two operating range, higher than conventional engine, with an extremely low NOx emission at the same time. Besides, start of combustion of CAI under NVO strategy is a little advanced and combustion duration is a little shorter compare with that of EGRB strategy.

关键词： Ignition

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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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Nonlinear model predictive control for path following problems

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International Journal of Robust and Nonlinear control 2014年第8期25卷

作者： Shuyou Yu Xiang Li Hong Chen Frank Allgöwer Department of Control Science and Engineering Jilin University Changchun China Institute for Systems Theory and Automatic Control University of Stuttgart Stuttgart Germany State Key Laboratory of Automotive Simulation and Control Jilin University Changchun China

This paper presents a general nonlinear model predictive control scheme for path following problems. Path following problem of nonlinear systems is transformed into a parameter-dependent regulation problem. Sufficient conditions for recursive feasibility and asymptotic convergence of the given scheme are presented. Furthermore, a polytopic linear differential inclusion-based method of choosing a suitable terminal penalty and the corresponding terminal constraint are proposed. To illustrate the implementation of the nonlinear model predictive control scheme, the path following problem of a car-like mobile robot is discussed, and the control performance is confirmed by simulation results. Copyright © 2014 John Wiley & Sons, Ltd.

关键词： model predictive control nonlinear systems path following feasibility and convergence

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FPGA-based Adaptive Variable Step MPPT Real Time simulation for Photovoltaic systems

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IOP Conference Series: Earth and Environmental Science 2021年第1期645卷

作者： Ruxun He Shouxiang Wang Chunyu Zhang Qi Ma Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin 300072 China Tianjin Key Laboratory of Power System Simulation and Control Tianjin University Tianjin 300072 China State Grid Tianjin Electric Power Company Tianjin 300010 China

In order to obtain more output power, maximum power point tracking (MPPT) control technology is usually designed to track the maximum power of photovoltaic (PV) array. The traditional power disturbance observation method tends to cause power oscillation loss, so an adaptive variable step algorithm is presented to balance the tracking accuracy and speed of PV system. Different from off-line simulation, the overall model is built on FPGA to complete the real time digital realization of MPPT control for PV system. Finally, the model is simulated and verified by ModelSim software. The experimental results show that the system can track the maximum power more quickly and accurately in real time.

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Research of auxiliary frequency modulation in smart microgrid

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Journal of Physics: Conference Series 2020年第1期1619卷

作者： Qingguang Yu Zhicheng Jiang Yingxin Ma Gaoxiang Long Yuming Liu State Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua University Beijing 100084 China Power dispatching and control center State Grid Jibei Electric Power Company Beijing 100054 China

In this paper, the component model of bidirectional converter and inverter is established, and the precise control of input and output power of the energy storage system is realized by using dual loop control strategy and PQ control strategy. the control strategy of the energy storage system is proposed to improve the performance of the primary frequency modulation process. The grid interconnection model of offshore oil platform is established. The frequency variation in primary and secondary frequency modulation is simulated to verify the effectiveness of the control strategy.

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Message from the Guest Editor-in-Chief

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Global Energy Interconnection 2020年第1期3卷 1-1页

作者： Qili Huang Weisheng Wang the Chinese Academy of Engineering the Academic Committees of the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources the State Key Laboratory of Power Grid Safety and Energy Conservation and the State Key Laboratory of Coal-based Clean Energy Renewable Energy Research Center of China Electric Power Research Institute(CEPRI) the State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems

At present, a new cycle of energy technology revolution coupled with economic and industrial reforms has come to a historical convergence. Consequently, the international energy supply system and industrial division of labor are being reshaped. The large replacement of fossil energy with clean energy is a critical indication for the evolution in the energy structure from the supply side.

关键词： Message from the Guest Editor-in-Chief

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A risk-based stochastic energy-water-carbon nexus analytical model to support provincial multi-system synergistic management – A case study of Shanxi, China

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Science of the Total Environment 2024年 957卷 177608页

作者： Zheng, Y.L. Huang, G.H. Li, Y.P. Han, D.C. Luo, B. Liu, Y.Y. Tang, W.C. State Key Joint Laboratory of Environmental Simulation and Pollution Control China-Canada Center for Energy Environment and Ecology Research UR-BNU School of Environment Beijing Normal University Beijing China Environmental Systems Engineering Program University of Regina ReginaSKS4S 0A2 Canada Institute for Energy Environment and Sustainable Communities University of Regina 3737 Wascana Parkway ReginaSKS4S 0A2 Canada

The synergistic management of energy-water‑carbon (EWC) nexus systems is crucial for achieving the sustainable development goals (SDGs). Therefore, a non-deterministic interval chance-constrained fractional optimization model for EWC nexus system (ICCF-EWC) management has been developed in this study. This model is capable of handling uncertain parameters represented as stochastic probability distributions and interval values, providing an effective approach to addressing dual-objective optimization problems. Meanwhile, this model is expected to investigate the effect of water scarcity/carbon abatement pressure on the overall system, and potential synergistic abatement effects. A case study of Shanxi Province shows that over the next 30 years, the cumulative installed capacity for clean and renewable energy will exceed 65 %. The dominance of coal-fired electricity will be considerably diminished, with wind power overtaking coal/gas-fired power by around 30 %. Moreover, water scarcity and carbon mitigation pressure would promote the development of electricity conversion mode to clean energy rather than the large-scale carbon capture and storage (CCS) technology upgradation of thermal power. The results can help support low-carbon transition of power systems at a province-level in China and financial incentives related policy making to advance water conservation and carbon emission mitigation. The developed model can also be adapted to other energy resource-dependent regional power systems. © 2024 Elsevier B.V.

关键词： Carbon capture and utilization

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Catch Planner: Catching High-Speed Targets in the Flight

arXiv

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arXiv 2023年

作者： Yu, Huan Wang, Pengqin Wang, Jin Ji, Jialin Zheng, Zhi Tu, Jie Lu, Guodong Meng, Jun Zhu, Meixin Shen, Shaojie Gao, Fei The State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou310027 China The Engineering Research Center for Design Engineering and Digital Twin of Zhejiang Province School of Mechanical Engineering Zhejiang University Hangzhou310027 China Robotics Institute of Zhejiang University Hangzhou310027 China Hong Kong The State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China Huzhou Institute of Zhejiang University Huzhou313000 China School of Electrical Engineering Zhejiang University Hangzhou310027 China The Hong Kong University of Science and Technology Guangzhou China

Catching high-speed targets in the flight is a complex and typical highly dynamic task. However, existing methods require manual setting of catching height or time, resulting in lacks of adaptability and flexibility and cannot deal with multiple targets. To bridge this gap, we propose a planning-with-decision scheme called Catch Planner. For sequential decision making, a lightweight policy search method based on deep reinforcement learning is proposed. It is jointly trained with the motion planning and decoupled from physics to speed up training. For motion planning, we propose a trajectory optimization method that jointly optimizes the highly coupled catching time and terminal state. The core is the flexible-terminal constraint transcription. It converts the three unique constraints of catching into differentiable metrics, including equality constraints for terminal position and time, and inequality constraints that enable reasonable terminal position offset and attitude relaxation. In addition, sparse parameterization based on MINCO class considers both dynamic feasibility and collision avoidance constraints. As a result, a generally constrained quadrotor planning problem is transformed into an unconstrained optimization that can be solved reliably and efficiently. We also propose an online iterative optimization method for predicting differentiable trajectories of targets. Catch Planner provides a new paradigm for the combination of learning and planning, where all algorithms can be run in real time onboard at 100hz. Extensive experiments are carried out in real-world and simulated scenes to verify the robustness and expansibility when facing a variety of high-speed flying targets. Copyright © 2023, The Authors. All rights reserved.

关键词： Decision making

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