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Research on Condenser Deterioration Evolution Trend Based on ANP-EWM Fusion Health Degree

Computer Modeling in Engineering & Sciences 2024年第4期139卷 679-698页

作者： Hong Qian haixin wang Guangji wang Qingyun Yan College of Automation Engineering Shanghai University of Electric PowerShanghai200090China Shanghai Key Laboratory of Power Station Automation Technology Shanghai200072China Empower Information Technology(Shanghai)Co. Ltd.Shanghai201508China China Nuclear Power Engineering Design Co. Ltd.Shenzhen518052China

This study presents a proposed method for assessing the condition and predicting the future status of condensers operating in seawater over an extended period.The aim is to address the problems of scaling and corrosion,which lead to increased loss of cold resources.The method involves utilising a set of multivariate feature parameters associated with the condenser as input for evaluation and trend prediction.This methodology offers a precise means of determining the optimal timing for condenser cleaning,with the ultimate goal of improving its overall performance.The proposed approach involves the integration of the analytic network process with subjective expert experience and the entropy weightmethod with objective big data analysis to develop a fusion health degreemodel.The mathematical model is constructed quantitatively using the improved Mahalanobis distance.Furthermore,a comprehensive prediction model is developed by integrating the improved Informer model and Markov error correction.This model takes into account the health status of the equipment and several influencing factors,includingmultivariate feature characteristics.This model facilitates the objective examination and prediction of the progression of equipment deterioration trends.The present study involves the computation and verification of the field time series data,which serves to demonstrate the accuracy of the condenser health-related models proposed in this research.These models effectively depict the real condition and temporal variations of the equipment,thus offering a valuable method for determining the precise cleaning time required for the condenser.

关键词： Condenser health degree improved Mahalanobis distance GC-Informer model Markov error correction

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Accelerating the evaluation of operational lifetimes of perovskite solar cells and modules

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Journal of Energy Chemistry 2024年第7期94卷 1-9页

作者： Fumeng Ren Qian Lu Xin Meng Jing Zhou Rui Chen Jianan wang haixin wang Sanwan Liu Zonghao Liu Wei Chen Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan 430074HubeiChina China-EU Institute for Clean and Renewable Energy Huazhong University of Science and TechnologyWuhan 430073HubeiChina Powerchina Huadong Engineering Corporation Limited Hangzhou 311122ZhejiangChina Optics Valley Laboratory Wuhan 430074HubeiChina

Compared with the power conversion efficicency,the operational stability of perovskite solar cells(PsCs)remains a major challenge hampering its commercialization.However,conducting a light soaking test under 1 sun illumination to get a long lifetime is time-consuming and experimentally inefficient.Here,we report an accelerated stability test protocol by aging PsCs under high-intensity light illumination to accelerate the evaluation of their operation stability.It is found that the efficiency degradation rate of a typical inverted PsC is almost linearly dependent on the light intensity within the range of 1 to 4 suns regardless of the encapsulations.The results prove that it can save the light-soaking time by at least 4 times to predict the operation lifetime on the basis of the equivalent light irradiation dose.

关键词： Perovskite Light-soaking Stability

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Exceptional mechanical performance and macroscale superlubricity enabled by core-shell-like MoS2/B4C film

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Science China Technological Sciences 2024年第7期67卷 2018-2030页

作者： REN SiMing GAO ZhenRong FAN Xin wang haixin wang LiPing Key Laboratory of Advanced Marine Materials Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences

Molybdenum disulfide（MoS2） films are widely deployed in industrial applications owing to their inherent interlayer slip characteristics, offering energy consumption savings and prolonged mechanical part performance. Nevertheless, their practical utility is limited by environmental constraints and the limitations of preparation techniques, which hinder the attainment of robust superlubricity（friction coefficient < 0.01）. Herein, through magnetron sputtering technology, we synthesize a core-shell-like nanocomposite composed of MoS2nanosheets encapsulating B4C. The core-shell-like structure enables the resulting films to preferentially grow crystalline MoS2, providing them with outstanding mechanical properties and efficient lubrication over a wide range of temperatures. Remarkably, such film achieves robust macroscale superlubricity and an ultralow wear rate(1.7 ×10-8mm3N-1m-1) under high contact stress in a mild vacuum environment. This noteworthy outcome is primarily attributable to the self-segmentation of the macroscale contact interface during the friction process, involving:（1） a large amount of wear debris is embedded into the wear track to create extensive micro-sized asperities;（2） a nanolayer of amorphous carbon enriched with oxide nanoparticles is formed on the uppermost part of these asperities;（3） numerous incommensurate nanocontacts comprising nanoparticles and highly oriented MoS2nanosheets are established, culminating in the achievement of robust superlubricity. Our pioneering design, coupled with the elucidation of the underlying superlubricity mechanism, holds significant promise for advancing the development of robust and high-performance lubricants.

关键词： MoS2/B4C nanocomposites core-shell-like structure H/E ratio high-temperature friction macroscale superlubricity

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Low Carbon Economic Dispatch of Integrated Energy System Considering Power Supply Reliability and Integrated Demand Response

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Computer Modeling in Engineering & Sciences 2022年第7期131卷 319-340页

作者： Jian Dong haixin wang Junyou Yang Liu Gao Kang wang Xiran Zhou School of Electrical Engineering Shenyang University of TechnologyShenyang110870China

Integrated energy system optimization scheduling can improve energy efficiency and low carbon economy.This paper studies an electric-gas-heat integrated energy system,including the carbon capture system,energy coupling equipment,and renewable energy.An energy scheduling strategy based on deep reinforcement learning is proposed to minimize operation cost,carbon emission and enhance the power supply reliability.Firstly,the lowcarbon mathematical model of combined thermal and power unit,carbon capture system and power to gas unit(CCP)is established.Subsequently,we establish a low carbon multi-objective optimization model considering system operation cost,carbon emissions cost,integrated demand response,wind and photovoltaic curtailment,and load shedding costs.Furthermore,considering the intermittency of wind power generation and the flexibility of load demand,the low carbon economic dispatch problem is modeled as a Markov decision process.The twin delayed deep deterministic policy gradient(TD3)algorithm is used to solve the complex scheduling problem.The effectiveness of the proposed method is verified in the simulation case studies.Compared with TD3,SAC,A3C,DDPG and DQN algorithms,the operating cost is reduced by 8.6%,4.3%,6.1%and 8.0%.

关键词： Integrated energy system twin delayed deep deterministic policy gradient economic dispatch power supply reliability integrated demand response

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Low-Frequency Oscillation Analysis of Grid-Connected VSG System Considering Multi-Parameter Coupling

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Computer Modeling in Engineering & Sciences 2023年第6期135卷 2373-2386页

作者： Shengyang Lu Tong wang Yuanqing Liang Shanshan Cheng Yupeng Cai haixin wang Junyou Yang Yuqiu Sui Luyu Yang Shenyang University of Technology Shenyang110870China Electric Power Research Institute of State Grid Liaoning Electric Power Supply Co. Ltd.Shenyang110006China State Grid Liaoning Electric Power Supply Co. Ltd.Shenyang110006China

With the increasing integration of new energy generation into the power system and the massive withdrawal of traditional fossil fuel generation,the power system is faced with a large number of stability problems.The phenomenon of low-frequency oscillation caused by lack of damping and moment of inertia is worth studying.In recent years,virtual synchronous generator(VSG)technique has been developed rapidly because it can provide considerable damping and moment of inertia.While improving the stability of the system,it also inevitably causes the problem of active power oscillation,especially the low mutual damping between the VSG and the power grid will make the oscillation more severe.The traditional time-domain state-space method cannot reflect the interaction among state variables and study the interaction between different nodes and branches of the power grid.In this paper,a frequency-domain method for analyzing low-frequency oscillations considering VSG parameter coupling is proposed.First,based on the rotor motion equation of the synchronous generator(SG),a secondorder VSG model and linearized power-frequency control loop model are established.Then,the differences and connections between the coupling of key VSG parameters and low-frequency oscillation characteristics are studied through frequency domain analysis.The path and influencemechanism of a VSG during low-frequency power grid oscillations are illustrated.Finally,the correctness of the theoretical analysis model is verified by simulation.

关键词： Inverter power supply low-frequency oscillation virtual synchronous generator rotor motor equation

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全超导托卡马克核聚变发电装置快控电源的干扰抑制离散积分滑模电流控制

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电工技术学报 2024年第10期39卷 3141-3151页

作者：黄海宏陈昭王海欣合肥工业大学电气与自动化工程学院合肥230009

全超导托卡马克核聚变发电装置(EAST)快控电源的首要性能指标是快速跟踪参考信号,以输出电流实现负载线圈的励磁,对等离子体的垂直位移进行反馈控制。EAST快控电源负载线圈受装置内部部件和真空内等离子体的影响,线圈感值会出现小范围... 详细信息

全超导托卡马克核聚变发电装置(EAST)快控电源的首要性能指标是快速跟踪参考信号,以输出电流实现负载线圈的励磁,对等离子体的垂直位移进行反馈控制。EAST快控电源负载线圈受装置内部部件和真空内等离子体的影响,线圈感值会出现小范围内慢时变波动以及线圈上存在互感电动势干扰,传统比例-积分(PI)控制方法在电流跟踪控制过程中存在不足。为了实现干扰的抑制和应对负载波动,提出一种带干扰抑制的离散积分滑模控制方法,根据系统状态方程设计离散积分滑模控制器,结合滑模干扰观测器实现集总干扰的观测,对集总干扰进行前馈补偿控制。为了抑制抖振和加快收敛速度,设计一种新型平滑饱和函数和增益自适应观测器,根据观测电流误差和跟踪电流误差自适应调整观测器增益。对比传统PI控制,仿真和实验验证了所提控制方法具有更加优良的电流跟踪特性,在输出电流超调更小的情况下动态响应更快,能够有效地抑制负载侧扰动,具有良好的鲁棒性。

关键词： EAST快控电源离散积分滑模控制滑模干扰观测器前馈补偿

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基于改进灰色预测单神经元PI的全超导托卡马克核聚变发电装置快控电源电流控制

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电工技术学报 2024年第6期39卷 1886-1897页

作者：黄海宏陈昭王海欣合肥工业大学电气与自动化工程学院合肥230009

全超导托卡马克核聚变发电装置(EAST)快控电源负载电感的电流受多种不确定环境因素的影响而难以预测,灰色预测无需精确对象模型,只需少量已知信息即可实现输出电流短期预测,已在EAST快控电源中有了一定研究应用。为解决灰色预测在EAST... 详细信息

全超导托卡马克核聚变发电装置(EAST)快控电源负载电感的电流受多种不确定环境因素的影响而难以预测,灰色预测无需精确对象模型,只需少量已知信息即可实现输出电流短期预测,已在EAST快控电源中有了一定研究应用。为解决灰色预测在EAST快控电源中对突变信号边沿预测精度低和预测延时时间长的问题,提出一种改进灰色预测算法实现输出电流预测。在一个开关周期内对输出电流进行等时长间隔采样4次作为原始序列,将滚动式采样预测改为逐周期采样预测,在实现灰色预测的过程中不必依赖过去几个周期的历史采样信息,只需本周期的4个原始采样值即可实现输出电流的预测。根据预测电流与参考电流误差自适应调整单神经元比例-积分(PI)控制的输出增益,实现输出电流的快速准确控制。仿真和实验结果表明,在EAST快控电源电流预测过程中所提出的改进灰色预测,对比传统灰色预测具有更高的预测精度和更小的预测延时,改进灰色预测变增益单神经元PI控制能够在减小电流超调的同时加快输出电流响应速度。

关键词： EAST快控电源改进灰色预测逐周期采样预测变增益单神经元PI

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一种适用于复杂电网下的高精度锁相环

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电机与控制学报 2024年第3期28卷 43-55页

作者：黄海宏刘远朋王海欣合肥工业大学电气与自动化工程学院安徽合肥230009

针对现有并网逆变器在电网电压谐波复杂的情况下难以精确锁定电压频率和相位的问题,结合传统锁相环结构与自适应算法的理论提出一种高精度的锁相方法。依据对传统锁相环在复杂电网下的弊端分析,确定了锁相环采用传统低通滤波器、带通滤... 详细信息

针对现有并网逆变器在电网电压谐波复杂的情况下难以精确锁定电压频率和相位的问题,结合传统锁相环结构与自适应算法的理论提出一种高精度的锁相方法。依据对传统锁相环在复杂电网下的弊端分析,确定了锁相环采用传统低通滤波器、带通滤波器时的滤波效果与延时的矛盾关系。根据最小均方算法的高自适应特性与快速跟踪特点,结合锁相环中坐标变换公式,确定算法的输入输出以及权重矩阵,构建基于派克变换的最小均方算法矩阵模型。通过将所需的电压正序分量设置为不断更新的权重矩阵来进行高精度的滤波,同时通过引入均方瞬时误差和自相关估计均值来进行变步长控制,提高滤波更新速度,以适用于复杂程度不确定的电网电压进行自适应滤波锁相。对仿真和样机实验的结果表明:采用基于派克变换的最小均方算法的改进型双二阶广义积分锁相方法,可以在不降低动态响应速度的前提下,提高锁相环的滤波效果,进而提高并网逆变器在电网畸变严重场景下锁定电压频率和相位的跟踪精度。

关键词：锁相环自适应滤波双二阶广义积分最小均方算法变步长

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基于脉冲电压频域特征和内阻的退役电池快速初步分选策略

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仪器仪表学报 2024年第3期45卷 214-226页

作者：汪宇航黄海宏王海欣合肥工业大学电气与自动化工程学院合肥230009

随着新能源产业的发展,越来越多的退役电池如何处理成为了一个急需解决的问题。磷酸铁锂电池由于高能量密度及安全性的优点被广泛应用于汽车及储能场合,是现有退役电池中的主流之一。退役磷酸铁锂电池的二次利用场景是根据电池的健康状... 详细信息

随着新能源产业的发展,越来越多的退役电池如何处理成为了一个急需解决的问题。磷酸铁锂电池由于高能量密度及安全性的优点被广泛应用于汽车及储能场合,是现有退役电池中的主流之一。退役磷酸铁锂电池的二次利用场景是根据电池的健康状态、内阻等状态进行评估的,但是这个过程耗费大量的时间。本文提出利用脉冲过程电压的频域特征作为估计健康状态的健康特征,然后利用随机森林回归算法实现了健康状态的快速估计,这极大的缩短了退役磷酸铁锂电池分选的时间。在此基础上,本文提出利用基于高斯分布的异常参数识别方法评估异常内阻退役磷酸铁锂电池。通过实验验证,选取的15节磷酸铁锂电池中健康状态估计的最大误差为6%,且能够有效的筛除内阻与SOH不匹配的退役磷酸铁锂电池。

关键词：退役电池健康状态快速分选脉冲电压

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基于改进密度聚类法的高压加热器传热系数研究

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热能动力工程 2024年第3期39卷 100-108页

作者：钱虹王海心张栋良上海电力大学自动化工程学院上海200090 上海市电站自动化技术重点实验室上海200072

为了及时发现并处理高压加热器运行经济性失常,采用传热系数直观地反映高压加热器的运行效率,提出基于时序数据分析方法得到传热系数的在线动态模型。首先通过热动力学机理分析得到影响高压加热器传热系数的主要特征参数并建立基于特征... 详细信息

为了及时发现并处理高压加热器运行经济性失常,采用传热系数直观地反映高压加热器的运行效率,提出基于时序数据分析方法得到传热系数的在线动态模型。首先通过热动力学机理分析得到影响高压加热器传热系数的主要特征参数并建立基于特征参数的动态模型;其次,通过蜻蜓算法改进的密度聚类方法构建具有最优邻域参数的优化聚类模型,得到可信端差区间。通过一段时间的某电厂的计算结果比较表明,基于改进密度聚类法的传热系数在线动态模型在计算高压加热器传热系数时均方误差MSE低至0.030 5%,说明该模型有效、可行。

关键词：高压加热器传热系数数据处理蜻蜓算法密度聚类

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