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Chinese Journal of Electronics 2024年第1期33卷 264-273页

作者： Tingling WANG xiaohe yan School of Electric Engineering North China University of Water Resources and Electric Power Wenzhou Polytechnic

With the rapid development of industrial parks, its load model research has become a hot spot. In order to study the load of power system in industrial park, based on the characteristics of the industrial park load, a comprehensive load admittance static model with full voltage range adaptability is considered, and a comprehensive load model of distribution network of the industrial park is established. A complete parameter identification of the model is carried out through chaos particle swarm optimization. The simulation results show that the model can effectively describe the load characteristics of the distribution network in industrial parks.

关键词： Chaos Adaptation models Analytical models Parameter estimation Induction motors Simulation Distribution networks

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多交易模式下混合式抽水蓄能电站优化调控策略

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南方电网技术 2024年第5期18卷 51-61页

作者：王玥瑶延肖何刘念华北电力大学新能源电力系统国家重点实验室北京102206

“双碳”目标下,实现常规水电与抽水蓄能二者功能结合的混合式抽水蓄能电站是水力发电的新趋势,而如何制定合理的调控策略是混合式抽水蓄能适应电力市场发展的关键难点。因此,提出了一种适用于混合式抽水蓄能电站的多交易运行模式,同时... 详细信息

“双碳”目标下,实现常规水电与抽水蓄能二者功能结合的混合式抽水蓄能电站是水力发电的新趋势,而如何制定合理的调控策略是混合式抽水蓄能适应电力市场发展的关键难点。因此,提出了一种适用于混合式抽水蓄能电站的多交易运行模式,同时根据常规水电与抽水蓄能的特点提出了混合式抽蓄电站内部协同调控方法。多交易模式下混合式抽水蓄能的常规水电部分实行峰谷电价结算、抽水蓄能部分实行两部制电价结算,同时允许电站保留容量电费参与日前现货市场出清。基于该运行模式和调控方法,以混合式抽水蓄能电站利润最大化和社会福利最大化为目标提出了双层优化调控模型。最后通过算例分析证明了所提模型的有效性,同时分析结果表明所提混合式抽水蓄能调控策略有利于实现水电资源的合理利用,对比不同单一交易运行模式电站利润至少提高1.2%。

关键词：混合式抽水蓄能电站两部制电价现货市场优化调度

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Truncated Strategy Based Dynamic Network Pricing for Energy Storage

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Journal of Modern Power Systems and Clean Energy 2023年第2期11卷 544-552页

作者： xiaohe yan Hongcai Zhang Chenghong Gu Nian Liu Furong Li Yonghua Song State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University) BeijingChina State Key lab of Internet of Things for Smart City University of MacaoMacaoChina Department of Electronic and Electrical Engineering University of BathBathU.K.

With the increasing penetration of local renewable energy and flexible demand,the system demand is more unpredictable and causes network overloading,resulting in costly system *** the energy storage(ES)helps reduce the system peak power flow,the incentive for ES operation is not sufficient to reflect its value on the system investment deferral resulting from its *** paper designs a dynamic pricing signal for ES based on the truncated strategy under robust operation corresponding to the network charge ***,the operation strategy is designed for ES to reduce the total network investment cost considering the uncertainties of flexible load and renewable *** nodal uncertainties are converted into branch power flow uncertainties by the cumulant and Gram-Charlier expansion ***,a time of use(ToU)pricing scheme is designed to guide the ES operation reflecting its impact on network investment based on the longrun investment cost(LRIC)pricing *** proposed To U LRIC method allocates the investment costs averagely to network users over the potential curtailment periods,which connects the ES operation with network *** curtailment amount and the distribution of power flow are assessed by the truncated strategy considering the impact of *** demonstrated in a Grid Supply Point(GSP)distribution network in the UK,the network charges at the peak time reduce more than 20%with ES *** proposed method is cost-reflective and ensures the fairness and efficiency of the pricing signal for ES.

关键词： Energy storage network investment renewable energy robust optimization uncertainty

Power to gas:addressing renewable curtailment by converting to hydrogen

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Frontiers in Energy 2018年第4期12卷 560-568页

作者： xiaohe yan Xin ZHANG Chenghong GU Furong LI Department of Electronic and Electrical Engineering University of BathClaverton DownBathBA27AYUK Electricity National Control Centre National GridWokinghamRG415BNUK

Renewable energy is the key to meeting increasing electricity demand and the decarburization targets in the generation mix. However, due to constrained power network capacity, a large volume of renewable generation is curtailed particularly from wind power, which is a huge waste of resources. There are typically three approaches to addressing excessive renewable: direct curtailment, the reinforcement of networks to expand transfer capacity, and the conversion of excessive renewable into other energy types, such as hydrogen, to transport. The costs and benefits of the three approaches could vary significantly across location, time, and penetration of renewable energy. This paper conducts a cost-benefit analysis and comparison of the three techniques to address wind curtailment. It uses a reduced 16-busbar UK transmission network to analyze the performance of the three approaches. The UK 2020 generation mix is used to quantify the saved renewable energy and incurred costs. The payback time and net present value of the two investment techniques are compared. From demonstration, it is reasonable to conclude that converting excessive wind power into hydrogen to transport is an environmentally friendly and cost-effective way to address wind curtailment.

关键词： blending hydrogen cost-benefit analysis electrolysis wind curtailment

考虑碳交易的风光储场站参与电力现货市场报价策略与调控方法

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中国电机工程学报 2023年第18期43卷 7091-7102页

作者：王凯延肖何蒋凯刘念新能源电力系统国家重点实验室(华北电力大学) 北京市昌平区102206

随着我国“双碳”目标的提出,大规模风光储场站的建设已经成为了电力减排的有效途径。然而,风光储之间的耦合性难以刻画,碳交易对风光储出力的影响不明确,如何合理报量报价来实现现货市场收益最大等问题已经成为制约大规模风光储发展的... 详细信息

随着我国“双碳”目标的提出,大规模风光储场站的建设已经成为了电力减排的有效途径。然而,风光储之间的耦合性难以刻画,碳交易对风光储出力的影响不明确,如何合理报量报价来实现现货市场收益最大等问题已经成为制约大规模风光储发展的关键问题。为此,该文首先设计考虑碳交易影响的电力现货市场机制;然后,基于风光储之间的耦合效应,提出场站的最优报价策略与协同调控方法,并考虑风光出力不确定性,构建风光储场站参与报量报价的双层模型,以实现其收益的最大化;最后,利用IEEE-14节点系统的算例证明方法的有效性。算例结果表明该文框架与模型能够优化风光储场站报价,丰富储能套利手段,在提升场站收益的同时降低系统碳排放。

关键词：风光储场站电力现货市场碳交易报价策略调控方法

基于投资组合理论的风光储场站参与多时间尺度电力现货市场的出力分配优化方法

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工程科学与技术 2023年第1期55卷 101-109页

作者：王凯延肖何刘念新能源电力系统国家重点实验室(华北电力大学) 北京102206

随着中国电力现货市场的发展及“双碳”目标的提出,风光储场站参与电力现货市场已成为主流趋势。为了考虑市场价格波动与风光出力不确定性对风光储场站出力分配的影响,本文从经济学引入投资组合理论作为收益和风险的权衡工具,提出了风... 详细信息

随着中国电力现货市场的发展及“双碳”目标的提出,风光储场站参与电力现货市场已成为主流趋势。为了考虑市场价格波动与风光出力不确定性对风光储场站出力分配的影响,本文从经济学引入投资组合理论作为收益和风险的权衡工具,提出了风光储场站参与日前、日内、实时市场的出力分配方法,使风光储场站获得最大化收益的同时承担最小的风险。首先,考虑风光出力不确定性,基于日前、日内、实时市场的电价构建了多时间尺度的收益模型。然后,采用历史电价数据的方差与协方差来描述市场风险及其相关性,考虑风光储场站内部能量的协同调控,构建了以场站的收益最大、风险最小为目标函数的出力分配优化模型。最后,通过增广拉格朗日乘子法对问题进行求解,获得了风光储场站参与电力现货市场的最优出力分配。对市场风险、场站最优出力分配、风险规避指数灵敏度与计算效率进行算例分析。结果表明:市场电价与风险之间存在着较强的相关性;使用本文方法后的场站收益比参与单一市场可以提高13.3%,风险可以降低84.1%;随着风险规避程度的增加,场站会降低高风险市场的参与度;本文算法具有较高的计算效率。因此,通过本文的优化方法,风光储场站可以根据不同市场的风险与预期收益有选择性地参与市场,并按照自身风险规避程度实现收益的最大化与风险的最小化。

关键词：投资组合理论风光储场站出力分配风险规避

Total glucosides of paeony alleviates cGAS-STING-mediated diseases by blocking the STING-IRF3 interaction

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Chinese Journal of Natural Medicines 2024年第5期22卷 402-415页

作者： XIU Ye WANG Sihao ZHANG Ping LI Chengwei WU Zhixin WEN Jincai XU Yingjie LV Guiji ZHAO Xiaomei DONG Xu CHEN Yichong LI Junjie WANG yan ZOU Liang XIAO xiaohe BAI Zhaofang School of Pharmacy Fujian University of Traditional Chinese MedicineFuzhou 350122China Department of Hepatology The Fifth Medical Center of PLA General HospitalBeijing 100039China China Military Institute of Chinese Materia Fifth Medical Center of Chinese PLA General HospitalBeijing 100039China Department of Pharmacy Medical Supplies Center of PLA General HospitalBeijing 100039China School of Food and Biological Engineering Chengdu UniversityChengdu 610106China National Key Laboratory of Kidney Diseases Chinese PLA General HospitalBeijing 100039China

In the realm of autoimmune and inflammatory diseases,the cyclic GMP-AMP synthase(cGAS)stimulator of interferon genes(STING)signaling pathway has been thoroughly investigated and *** this,the clinical approval of drugs targeting the cGAS-STING pathway has been *** Total glucosides of paeony(TGP)is highly anti-inflammatory and is commonly used in the treatment of rheumatoid arthritis(RA),emerged as a subject of our *** found that the TGP markedly reduced the activation of the cGAS-STING signaling pathway,triggered by various cGAS-STING agonists,in mouse bone marrow-derived macrophages(BMDMs)and Tohoku Hospital Pediatrics-1(THP-1)*** inhibition was noted alongside the suppression of interferon regulatory factor 3(IRF3)phosphorylation and the expression of interferon-beta(IFN-β),C-X-C motif chemokine ligand 10(CXCL10),and inflammatory mediators such as tumor necrosis factor-alpha(TNF-α)and interleukin-6(IL-6).The mechanism of action appeared to involve the TGP’s attenuation of the STING-IRF3 interaction,without affecting STING oligomerization,thereby inhibiting the activation of downstream signaling *** vivo,the TGP hindered the initiation of the cGAS-STING pathway by the STING agonist dimethylxanthenone-4-acetic acid(DMXAA)and exhibited promising therapeutic effects in a model of acute liver injury induced by lipopolysaccharide(LPS)and D-galactosamine(D-GalN).Our findings underscore the potential of the TGP as an effective inhibitor of the cGAS-STING pathway,offering a new treatment avenue for inflammatory and autoimmune diseases mediated by this pathway.

关键词： Total glucosides of gaeony cGAS-STING pathway Inflammation LPS/D-GalN STING inhibitor

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差异化市场下储能运营风险效益评估

太阳能学报 2022年第3期43卷 111-118页

作者：周立立向月延肖何李驰宇苟竞四川大学电气工程学院成都610065 新能源电力系统国家重点实验室(华北电力大学) 北京102206 国电大渡河瀑布沟水力发电总厂汉源625304 国网四川省电力公司经济技术研究院成都610041

储能得益于其充放电的灵活性可应用于多个电力市场并从中获取相应的效益。然而,储能在获利的同时也要承受来自不同市场的风险,且具有高利润的市场往往伴随着高风险,因此很有必要评估不同市场的风险效益并优化储能应用于不同市场的容量,... 详细信息

储能得益于其充放电的灵活性可应用于多个电力市场并从中获取相应的效益。然而,储能在获利的同时也要承受来自不同市场的风险,且具有高利润的市场往往伴随着高风险,因此很有必要评估不同市场的风险效益并优化储能应用于不同市场的容量,以期在最小的风险水平下实现效益最大化。提出一种差异化市场下的储能运营风险效益评估方法,考虑能源服务市场、对等交易服务市场、阻塞服务市场等3个储能可参与的市场,并应用投资组合理论建立各个市场下的收益率及风险计算模型及储能容量优化分配模型。研究结果表明提出的模型对于指导储能运营商参与不同市场的风险效益评估及其容量分配有较好的理论及现实指导意义。

关键词：储能电力市场风险分析效益评估容量优化分配

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我国农业科技园区数智化转型发展问题及对策

中国农业科技导报 2024年第4期26卷 9-17页

作者：陈宁远闫琰王俊芹谢孝河北京物资学院商学院北京101149 新南威尔士大学商学院澳大利亚悉尼2052 中国农业科学院农业经济与发展研究所北京100081 中国农业科学院战略研究中心北京100081 河北农业大学经济管理学院河北保定071000

农业科技园区数智化转型发展是加速实现农业现代化的重要途径,我国农业科技园区建设还处于发展的初级阶段,随着数字化技术和农业技术的不断突破和融合,农业科技园区从传统型单一农业科技示范向集成创新的数智化方向转型发展。当前我国... 详细信息

农业科技园区数智化转型发展是加速实现农业现代化的重要途径,我国农业科技园区建设还处于发展的初级阶段,随着数字化技术和农业技术的不断突破和融合,农业科技园区从传统型单一农业科技示范向集成创新的数智化方向转型发展。当前我国农业科技园区面临着农业信息化基础薄弱、数智化农业装备落后、高素质农业生产管理人才缺乏、数智化服务管理机制不完善等突出问题。因此,有必要优化数字化要素配置,改良智慧设施装备、创新数智服务方式。界定了我国农业科技园区数智化转型发展的内涵,分析了其发展现状及发展过程中存在的主要问题,并探讨了转型发展的对策建议,旨在为我国农业科技园区的转型发展提供理论指导,为破解农业转型升级与产业融合提供建议对策。

关键词：农业科技园区数智化转型内涵发展现状对策建议

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Quick Weighing of Passing Vehicles Using the Transfer-Learning-Enhanced Convolutional Neural Network

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2507-2524页

作者： Wangchen yan Jinbao yang Xin Luo College of Civil Engineering Xiangtan UniversityXiangtan411105China Energy&Environmental Engineering Department China CEC Engineering CorporationChangsha410114China

Transfer learning could reduce the time and resources required by the training of new models and be therefore important for generalized applications of the trainedmachine learning *** this study,a transfer learningenhanced convolutional neural network(CNN)was proposed to identify the gross weight and the axle weight of moving vehicles on the *** proposed transfer learning-enhanced CNN model was expected to weigh different bridges based on a small amount of training datasets and provide high identification *** of all,a CNN algorithm for bridge weigh-in-motion(B-WIM)technology was proposed to identify the axle weight and the gross weight of the typical two-axle,three-axle,and five-axle vehicles as they crossed the bridge with different loading routes and ***,the pre-trained CNN model was transferred by fine-tuning to weigh themoving vehicle on another ***,the identification accuracy and the amount of training data required were compared between the two CNN *** showed that the pre-trained CNN model using transfer learning for B-WIM technology could be successfully used for the identification of the axle weight and the gross weight for moving vehicles on another bridge while reducing the training data by 63%.Moreover,the recognition accuracy of the pre-trained CNN model using transfer learning was comparable to that of the original model,showing its promising potentials in the actual applications.

关键词： Bridge weigh-in-motion transfer learning convolutional neural network