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arXiv 2023年

作者： Yu, Zhipeng Lin, Jin Liu, Feng Li, Jiarong Chi, Yingtian Song, Yonghua Ren, Zhengwei State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China Sichuan Energy Internet Research Institute Tsinghua University Chengdu610213 China Department of Electrical and Computer Engineering University of Macau 999078 China Department of Electrical Engineering Tsinghua University Beijing100087 China

—Large-scale centralized development of wind and solar energy and peer-to-grid transmission of renewable energy source (RES) via high voltage direct current (HVDC) has been regarded as one of the most promising ways to achieve goals of peak carbon and carbon neutrality in China. Traditionally, large-scale thermal generation is needed to economically support the load demand of HVDC with a given profile, which in turn raises concerns about carbon emissions. To address the issues above, hydrogen energy storage system (HESS) and ammonia energy storage system (AESS) are introduced to gradually replace thermal generation, which is represented as a multi-stage expansion planning (MSEP) problem. Specifically, first, HESS and AESS are established in the MSEP model with carbon emission reduction constraints, and yearly data with hourly time resolution are utilized for each stage to well describe the intermittence of RES. Then, a combined Dantzig-Wolfe decomposition (DWD) and column generation (CG) solution approach is proposed to efficiently solve the large-scale MSEP model. Finally, a real-life system in China is studied. The results indicate that HESS and AESS have the potential to handle the intermittence of RES, as well as the monthly imbalance between RES and load demand. Especially under the goal of carbon neutrality, the contribution of HESS and AESS in reducing levelized cost of energy (LCOE) reaches 12.28% and 14.59%, respectively, which finally leads to a LCOE of 0.4324 RMB/kWh. Copyright © 2023, The Authors. All rights reserved.

关键词： Carbon

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Study on Hardware-in-the-loop Model and Low Voltage Ride-through Characteristics of Photovoltaic power Station

Study on Hardware-in-the-loop Model and Low Voltage Ride-thr...

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IEEE Electronic power Grid (eGrid)

作者： Liqiang Wang Bin Cao Qi Wang Yu Cong Haiyan Wu Zhang Xiaolin Institute of New Energy Technology Inner Mongolia Electric Power Research Institute Hohhot China Institute of Electric Power System Technology Inner Mongolia Electric Power Research Institute Hohhot China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China

ISBN: (数字)9781728157047

ISBN: (纸本)9781728157054

In order to prevent large-scale disconnection accidents of photovoltaic power stations caused by voltage fluctuations and faults in power grids, low voltage ride-through characteristics and other detection tests are needed when photovoltaic power stations are connected to power grids. At present, field test and type test are the main methods of detection, but due to the limitation of detection devices and test conditions, the evaluation of low voltage ride-through characteristics of photovoltaic power stations still remains in the single-machine detection mode, which ignores the interaction between photovoltaic inverters and inverters, inverters and static var generator(SVG) devices. The test results cannot truly reflect the low voltage traversing characteristics of the photovoltaic power stations. Using RT-LAB hardware-in-the-loop simulation platform, real photovoltaic inverters and SVG controllers are introduced to build simulation models of photovoltaic power stations. The differences between single-machine detection of photovoltaic inverters and reactive power compensation devices and low-voltage ride-through characteristics detection of the whole station are compared and studied. The simulation results show that, compared with the stand-alone test, the whole station simulation modeling test method can reflect the voltage rise caused by the reactive power characteristics of photovoltaic inverters and SVG devices after the drop, and more truly reflect the low voltage traversing characteristics of photovoltaic power stations.

关键词： Inverters Photovoltaic systems power system stability Low voltage Computational modeling

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Hybrid Impedance Reshaping Method of Grid-Connected Inverters in Weak Grid

Hybrid Impedance Reshaping Method of Grid-Connected Inverter...

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power Electronics and power System Conference (PEPSC)

作者： Weike Zheng Haijiao Wang Bao Xie Meiqin Mao State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China Photovoltaic System Engineering Research Center of the Ministry of Education Hefei University of Technology Hefei China

Both the phase-locked loop (PLL) and the common coupling point (PCC) voltage feedforward may have impacts on the inverter system stability in weak grid. Therefore, a hybrid impedance reshaping control strategy is proposed in the paper. Firstly, the inverter impedance model is established. Next, the system stability is analyzed under weak grid, reflecting on the influence of PLL and the PCC voltage feedforward. Then, to improve the inverter system stability, the band-pass filter is added to the feedforward branch of PCC voltage, since it can attenuate the influence of unstable factors. Moreover, a new phase-locked loop structure containing a first-order decoupled complex filter is proposed, taking into account the fundamental positive voltage extraction characteristics of the first-order decoupled complex filter. The parameters of the hybrid impedance reshaping strategy are designed in detail. Finally, simulation is carried out to prove the theory analysis and hybrid impedance reshaping strategy in the paper.

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Research on load demand response behavior strategies in the steel industry guided by price signals

Research on load demand response behavior strategies in the ...

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4th Energy Conversion and Economics Annual Forum (ECE Forum 2024)

作者： Junhui Li Jiong Zhang Yan Li Peng Yu Meng Yu Hengyu Liu Xingxu Zhu Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin People's Republic of China State Grid Electric Power Research Institute Co. Ltd State Grid Electric Power Research Institute Wuhan Efficiency Evaluation Co. Ltd Hubei People's Republic of China State Grid Liaoning Electric Power Co. Ltd State Grid Liaoning Electric Power Company Limited Power Dispatch and Control Center Liaoning People's Republic of China State Grid Liaoning Electric Power Co. Ltd State Grid Liaoning Electric Power Company Limited Electric Power Research Institute Liaoning People's Republic of China

ISBN: (数字)9781837242924

The steel industry load has the advantages of high power consumption, high automation level, strong controllability, and strong demand response potential. In order to improve its enthusiasm for participating in the power grid and promote the consumption of renewable energy, the electricity response behavior and demand potential of each production process of the industrial load are first evaluated. The strategy of using price signals to guide the steel industry load in typical areas to participate in the demand response of the power system is proposed. Models are established for the power grid dispatch center and the industrial load response behavior respectively. In the process, the different interests and demands of the two parties, the power grid dispat ch and the industrial load, are comprehensively considered. A two-layer dispatch model is established to truly reflect the interactive game process between power supply and demand; To match the model solution with interaction, a hierarchical iterative algorithm is used to accelerate the convergence speed while ensuring the interaction between price signals and purchasing power between layers. Combining a certain industrial load area for case analysis, the results show that the proposed model not only improves the system's ability to absorb renewable energy, but also takes into account the interests and responsiveness of the steel industry load.

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Current Saturation Analysis of Droop controlled Voltage Source Converter

Current Saturation Analysis of Droop Controlled Voltage Sour...

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International Conference on power System Technology (powerCON)

作者： Kehao Zhuang Hui Liu Xuekun Cheng Shiyao Qin Pengfei Hu Huanhai Xin College of Electrical Engineering Zhejiang University Hangzhou P. R. China Grid-Connected Operation Technology For Wind-Solar-Storage Hybrid System State Grid Corporation Key Laboratory State Grid Jibei Electric Power Research Institute Beijing China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems) China Electric Power Research Institute Beijing China

ISBN: (纸本)9781665407380

Droop controlled voltage source converters (VSCs) are very sensitive to overloading due to the low current capacity of switching devices, which implies that VSCs must switch from normal voltage control mode to current control mode at faults or load disturbance and therefore occur transient instability. This paper reviews current saturation phenomenon and reason of droop controlled VSCs. In particular, the boundary conditions between current saturation mode and normal mode are analyzed to express VSC’s static active power critical value at normal mode. Then, the influence of grid parameters and control parameters for current saturation is analyzed. Finally, the effectiveness of theoretical analysis is verified in MATLAB/Simulink and hardware-in-the-loop experiments based on RTLAB. The normal unsaturated VSC’s static active power critical value of theoretical calculation is basically consistent with the simulation.

关键词： Current control Switches power system stability Boundary conditions control systems power conversion Voltage control

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Study on control Method of Dual-Motor for Steer-By-Wire System

Study on Control Method of Dual-Motor for Steer-By-Wire Syst...

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International Conference on Consumer Electronics, Communications and Networks

作者： Changfu Zong Haiou Xiang Lei He Fei Sha State Key Laboratory of Automotive Simulation and Control Jilin University School of Mechanical and Power Engineering Harbin University of Science and Technology

ISBN: (纸本)9781457714146

In this paper, a structure of the steer-by-wire system with dual steering motors based on FlexRay bus has been proposed for meeting the real-time and reliability requirement of a steer-by-wire system. A control method is proposed to realize the coordinated control of dual steering motors. The control method has been verified experimentally. The results indicate that the control method can effectively achieve coordinated control of the dual steering motors and improve the safety of steer-by-wire vehicles.

关键词： Vehicle Steer-by-wire control method of dual-motor FlexRay bus

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Optimal Consensus control of Unknown Nonlinear Multi-Agent systems Using Adaptive Dynamic Programming via MRAC

Optimal Consensus Control of Unknown Nonlinear Multi-Agent S...

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Chinese control Conference (CCC)

作者： Hao Fu Xin Chen Wei Wang Jinbin Li Yaodong Zhang Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P. R. China State Grid Hubei Electric Power Research Institute Wuhan P. R. China

This paper introduces an optimal consensus control scheme for nonlinear multi-agent systems with completely unknown dynamics. In general, it is difficult to solve the coupled Hamilton-Jacobi-Bellman (HJB) equations, which the optimal consensus control relies on in multi-agent systems, especially unknown nonlinear systems. For the purpose of solving the problem, we propose an optimal consensus control approach based on the model reference adaptive control (MRAC) and adaptive dynamic programming (ADP). Using the structure of the diagonal recurrent neural network, the identifier and controller are devised to achieve MRAC for every plant of the unknown nonlinear systems, i.e. the reference model serves as a dynamic model of each individual agent. Then, according to reference models of distributed agents, an adaptive dynamic programming (ADP) is introduced to approximate the solution of the coupled HJB equations.

关键词： Multi-agent systems Mathematical model Adaptation models Heuristic algorithms Recurrent neural networks Dynamic programming

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A DC-link Voltage control Scheme for Single-phase Grid-connected PV Inverters

A DC-link Voltage Control Scheme for Single-phase Grid-conne...

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2011 IEEE Energy Conversion Congress and Exposition (ECCE 2011)

作者： Fanbo He Zhengming Zhao Liqiang Yuan Sizhao Lu State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781457705427;9781457705410

A fast DC-link voltage controller is desirable to reduce the DC-link capacitor for PV inverters. This paper proposes a method for single-phase grid-connected PV inverters to remove the ripple component from the DC-link voltage signal and a scheme to regulate the DC-link voltage based on energy-balance analysis. The proposed scheme provides excellent dynamic performance as well as a function to prevent DC-link overvoltage by limiting the input power, which is verified by both simulation and experiments.

关键词： DC link Polydnaviridae dc-link capacitor Inventors Voltage regulators dynamic characteristics DC link voltage Scheme Voltage regulation link voltage

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Optimal Sizing of Isolated Renewable power systems with Ammonia Synthesis: Model and Solution Approach

arXiv

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arXiv 2023年

作者： Yu, Zhipeng Lin, Jin Liu, Feng Li, Jiarong Zhao, Yuxuan Song, Yonghua The State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China Sichuan Energy Internet Reasearch Institute Tsinghua University Chengdu610213 China The Department of Electrical and Computer Engineering University of Macau 999078 China The Department of Electrical Engineering Tsinghua University Beijing100087 China

Isolated renewable power to ammonia (IRePtA) has been recognized as a promising way to decarbonize the chemical industry. Optimal sizing of the renewable power system is significant to improve the techno-economic of IRePtA since the investment of power sources exceeds 80% of the total investment. However, multi-timescale electricity, hydrogen, and ammonia storages, minimum power supply for system safety, and the multiyear uncertainty of renewable generation lead to difficulties in planning. To address the issues above, an IGDT-MILFP model is proposed. First, the levelized cost of ammonia (LCOA) is directly formulated as the objective, rendering a mixed integer linear fractional programming (MILFP) problem. Information gap decision theory (IGDT) is utilized to handle the multiyear uncertainty of renewable generation. Second, a combined Charnes-Cooper (C&C) transformation and Branch-and-Bound (B&B) method is proposed to efficiently solve the large-scale IGDT-MILFP model, giving robust and opportunistic planning results. Then, Markov Chain Monte Carlo (MCMC) sampling-based posteriori analysis is leveraged to quantify the long-run performance. Finally, a real-life system in Inner Mongolia, China, is studied. The results indicate that the proposed methods could reduce the computational burden by orders of magnitude for solving a large-scale MILFP problem. Moreover, the proposed IGDT-MILFP model is necessary and accurate to obtain an optimal capacity allocation with the lowest expected LCOA (3610 RMB/t) in long-run simulations. Copyright © 2023, The Authors. All rights reserved.

关键词： Ammonia

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Optimal capacity allocation of advanced adiabatic compressed air energy storage systems considering energy arbitrage

Optimal capacity allocation of advanced adiabatic compressed...

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2019 Tsinghua International Doctoral Forum

作者： Zhiao Li Laijun Chen Dangwu Liu Tianwen Zheng Bo Gao Shengwei Mei State Key Lab of Control and Simulation of Power Systems and Generation Equipments (Dept. of Electrical Engineering Tsinghua University) Haidian District Beijing 100084 China State Grid Anhui Electric Power CO. LTD. Hefei 230022 China Sichuan Energy Internet Research Institute Tsinghua University Chengdu 610213 China State Grid Anhui Electric Power Research Institute Hefei 230601 China

ISBN: (纸本)9781839533907

As the energy scarcity and environment problems become more and more severe, promoting renewable energy has become an important task and thus energy storage draws increasing attention for integrating renewable energy. Among many available options, advanced adiabatic compressed air energy storage (AA-CAES) are considered mature and affordable options for gridscale applications. However, the relatively high capital cost hinders the development of AA-CAES system. As a result, the cost-benefit analysis of AA-CAES application is studied in this paper. The thermodynamic characteristics of AA-CAES system are carefully studied and modeled. An optimal configuration method of AA-CAES capacity considering energy arbitrage is proposed and the optimal capacity of each component of AA-CAES is demonstrated. simulation results indicate that the application of AA-CAES in arbitrage market is profitable but the payback period is long. The profit estimations are more realistic compare to conventional battery model. Profitable cost range of AA-CAES is found through sensibility analysis. Augmenting electricity price to improve economic of AA-CAES is discussed at the end.

关键词： Compressed energy storage capacity allocation energy market energy market compressed air energy storage Adiabatic Renewable energy

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