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Journal of Modern Power Systems and Clean Energy 2024年第1期12卷 238-250页

作者： yikui liu Bing Huang Yang Lin Yonghong Chen Lei Wu Electrical and Computer Engineering Department Stevens Institute of TechnologyHobokenNJ 07030USA Midcontinent Independent System Operator Inc.CarmelIN 46032USA

In response to the increasing penetration of volatile and uncertain renewable energy,the regional transmission organizations(RTOs)have been recently focusing on enhancing the models of pump storage hydropower(PSH)plants,which are one of the key flexibility assets in the day-ahead(DA)and real-time(RT)markets,to further boost their flexibility provision potentials.Inspired by the recent research works that explored the potential benefits of excluding PSHs’cost-related terms from the objective functions of the DA market clearing model,this paper completes a rolling RT market scheme that is compatible with the DA market.Then,with the vision that PSHs could be permitted to submit state-of-charge(SOC)headrooms in the DA market and to release them in the RT market,this paper uncovers that PSHs could increase the total revenues from the two markets by optimizing their SOC headrooms,assisted by the proposed tri-level optimal SOC headroom model.Specifically,in the proposed tri-level model,the middle and lower levels respectively mimic the DA and RT scheduling processes of PSHs,and the upper level determines the optimal headrooms to be submitted to the RTO for maximizing the total revenue from the two markets.Numerical case studies quantify the profitability of the optimal SOC headroom submissions as well as the associated financial risks.

关键词： Pump storage hydropower energy market state-of-charge(SOC) headroom market revenue tri-level problem

A Comprehensive Review of Security-constrained Unit Commitment

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Journal of Modern Power Systems and Clean Energy 2022年第3期10卷 562-576页

作者： Nan Yang Zhenqiang Dong Lei Wu Lei Zhang Xun Shen Daojun Chen Binxin Zhu yikui liu IEEE Hubei Provincial Engineering Research Center of Intelligent Energy Technology China Three Gorges UniversityYichang 443002China Electrical and Computer Engineering Stevens Institute of TechnologyHobokenNJ 07030USA Department of Mechanical Systems Engineering Tokyo University of Agriculture and TechnologyTokyo 184-8588Japan Electric Power Research Institute State Grid Hunan Electric Power Company LimitedChangsha 410007China

Security-constrained unit commitment(SCUC)has been extensively studied as a key decision-making tool to determine optimal power generation schedules in the operation of electricity market.With the development of emerging power grids,fruitful research results on SCUC have been obtained.Therefore,it is essential to review current work and propose future directions for SCUC to meet the needs of developing power systems.In this paper,the basic mathematical model of the standard SCUC is summarized,and the characteristics and application scopes of common solution algorithms are presented.Customized models focusing on diverse mathematical properties are then categorized and the corresponding solving methodologies are discussed.Finally,research trends in the field are prospected based on a summary of the state-of-the-art and latest studies.It is hoped that this paper can be a useful reference to support theoretical research and practical applications of SCUC in the future.

关键词： Security-constrained unit commitment electricity market accurate model AC power flow data-driven

A Two-stage Peer-to-peer Energy Trading Model for Distribution Systems with Participation of Utility

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CSEE Journal of Power and Energy Systems 2021年第5期7卷 893-902页

作者： yikui liu Lei Wu Jie Li ECE Department Stevens Institute of Technology.HobokenNJ07030 USA ECE Department Rowan UniversityGlassboroNJ08028 USA

With the growing penetration of distributed energy resources(DER)in distribution systems,the traditional utility dominated tariff-based business model may no longer meet the need for further development.As a result,the transformation from the traditional tariff-based business model to the emerging peer-to-peer energy trading model has been acknowledged by researchers and policy makers.In this paper,a two-stage peer-to-peer energy trading model is proposed while considering the role of the utility.Specifically,energy transactions between buyers and sellers are optimized in the first stage;the cleared transactions are submitted to the utility for approval in the second stage,which solves a transaction approval model to verify the transactions from the perspective of secure system operations.Indeed,certain transactions mav be disapproved to ensure that all network constraints,such as voltage and line flow limitations,are satisfied.In addition,a comprehensive trading tariff is designed to recover the hidden costs of the utility,such as those associated with network usage,system losses,and ancillary service provision.A modified 33-bus distribution system is adopted to verify the proposed model.

关键词： Terms-Distributed energy resources distribution system energy market peer-to-peer energy trading.

Day-ahead Risk-constrained Stochastic Scheduling of Multi-energy System

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Journal of Modern Power Systems and Clean Energy 2021年第4期9卷 720-733页

作者： Yue Yin Tianqi liu Lei Wu Chuan He yikui liu Department of Electrical Engineering Sichuan UniversityChengdu 610065China Department of Electrical and Computer Engineering Stevens Institute of TechnologyHobokenNJ 07030USA

As an increasing penetration of renewable energy sources can potentially impact voltage profile and compromise system security,the security continues to be the most critical concern in power system operations.A risk-constrained stochastic scheduling model is proposed to leverage the latent scheduling capacity of a multi-energy system to seek an economic operation solution while maintaining system operation risk level against uncertain renewable generation.Overvoltage risk constraints,as compared to the straightforward voltage boundary limits,are incorporated into the stochastic scheduling model to guarantee the operation security and economics.Linearized AC power flow model is applied to enable overvoltage risk assessment within the coordinated scheduling model.The proposed stochastic scheduling model is tackled via the improved progressive hedging approach with an enhanced relax-round-polish process,which overcomes the convergence issues of the traditional progressive hedging in handling nonconvex stochastic scheduling model with binary variables on both stages.Numerical simulation results of IEEE 30-bus system and IEEE 118-bus system illustrate the efficacy of the proposed model in ensuring voltage security and improving economic operation of systems.

关键词： AC power flow overvoltage risk constraint renewable energy multi-energy coordination

Graph Theory Based N-1 Transmission Contingency Selection and Its Application in Security-constrained Unit Commitment

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Journal of Modern Power Systems and Clean Energy 2021年第6期9卷 1458-1467页

作者： Lu Nan yikui liu Lei Wu Tianqi liu Chuan He College of Electrical Engineering Sichuan University the Department of Electrical and Computer Engineering Stevens Institute of Technology Department of Electrical and Computer Engineering Stevens Institute of Technology

Contingency analysis is an important building block in the stability and reliability analysis of power grid operations. However, due to the large number of transmission lines,in practice only a limited number of contingencies could be evaluated. This paper proposes a graph theory based N-1 contingency selection method to effectively identify the most critical contingencies, which can be used in security-constrained unit commitment(SCUC) problems to derive secure and economic operation decisions of the power grid. Specifically, the power flow transferring path identification algorithm and the vulnerability index are put forward to rank individual contingencies according to potential transmission line overloads. Effectiveness of the proposed N-1 contingency selection method is quantified by applying the corresponding SCUC solution to the full N-1 security evaluation, i. e., quantifying total post-contingency generation-load imbalance in all N-1 contingencies. Numerical results on several benchmark IEEE systems, including5-bus, 24-bus, and 118-bus systems, show effectiveness of the proposed method. Compared with existing contingency selection methods which usually resort to full power flow calculations,the proposed method relies on power gird topology to effectively identify critical contingencies for facilitating the optimal scheduling of SCUC problems.

关键词： Concentric relaxation contingency analysis graph theory security-constrained unit commitment(SCUC) shortest path vulnerability index

基于随机模型预测控制的火电-储能两阶段协同调频控制模型

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电力系统自动化 2023年第3期47卷 86-95页

作者：唐早刘佳刘一奎刘挺坚曾平良王栋杭州电子科技大学自动化学院浙江省杭州市310018 斯蒂文斯理工霍博肯07030美国四川大学电气工程学院四川省成都市610045 南瑞集团有限公司(国网电力科学研究院有限公司) 江苏省南京市211106

相比于单一类型的储能单元,混合储能在提升火电机组灵活性方面具有更优的表现,但不同资源禀赋特性的混合储能与火电机组的配合将显著增加协同调频的难度。因此,提出了一种基于随机模型预测控制的火电-储能两阶段协同调频控制模型,将整... 详细信息

相比于单一类型的储能单元,混合储能在提升火电机组灵活性方面具有更优的表现,但不同资源禀赋特性的混合储能与火电机组的配合将显著增加协同调频的难度。因此,提出了一种基于随机模型预测控制的火电-储能两阶段协同调频控制模型,将整个控制周期划分为粗粒度和精粒度两种不同时间尺度。在粗粒度方面,提出了计及调频信号不确定性的火电-储能调频控制模型,通过构建储能充放电切换模型,限制能量型储能频繁切换,延长其使用寿命,同时引入非预期性约束来获得全场景可行的能量型储能运行状态方案。在精粒度方面,以最小化调频成本为目标,计及设备自身和调频偏差约束,优化求解火电-储能混合系统其余的控制方案。从调节速率、精度与响应时间三个方面,对所提调频控制模型进行调频效果评价。最后,以某地区发电机组实际数据为例进行分析,验证了所提模型调频效果的有效性与经济性。

关键词：随机模型预测控制调频控制火电储能

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晚期癌症病人临终沟通的研究进展

护理研究 2023年第1期37卷 98-104页

作者：朱雅麟柴守霞刘一魁武伦湖北医药学院护理学院湖北442000 湖北医药学院卫生管理与卫生事业发展研究中心湖北医药学院附属国药东风医院

通过综述家庭背景下临终沟通的概念、测量工具、存在的问题、影响因素及干预措施,以期为开发适合我国使用的临终沟通评估工具提供借鉴,以促进开展有效的临终沟通。

关键词：癌症临终关怀临终沟通评估影响因素综述

调节肠道菌群可改善卒中后大鼠的神经功能和抑郁症状

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南方医科大学学报 2024年第2期44卷 405-410页

作者：李新翼刘玉杰邓克崇胡义奎武汉市武昌医院//武汉科技大学附属武昌医院湖北武汉430061

目的研究肠道菌对卒中后抑郁大鼠脑损伤的作用。方法SD大鼠随机分为对照组、MCAO组(大脑中动脉栓塞模型)、PSD组(卒中后抑郁大鼠)、粪便移植组(卒中后抑郁大鼠,正常大鼠粪便菌液处理)、抗生素组(卒中后抑郁大鼠,利福昔明处理)、益生菌组... 详细信息

目的研究肠道菌对卒中后抑郁大鼠脑损伤的作用。方法SD大鼠随机分为对照组、MCAO组(大脑中动脉栓塞模型)、PSD组(卒中后抑郁大鼠)、粪便移植组(卒中后抑郁大鼠,正常大鼠粪便菌液处理)、抗生素组(卒中后抑郁大鼠,利福昔明处理)、益生菌组(卒中后抑郁大鼠,乳酸杆菌处理)、氟西汀组(卒中后抑郁大鼠,氟西汀处理),每组9只(相关性分析中,每组15只)。对大鼠神经功能评分,检测糖水偏好度和强迫游泳静止不动时间,ELISA法检测大鼠血浆中菌群代谢产物氧化三甲胺(TMAO)、硫化氢(H2S)含量,Western blot方法检测大鼠脑组织中Occludin、caudin-5、IgG蛋白表达。结果与对照组比较,MCAO组、PSD组大鼠神经功能评分升高,强迫游泳静止不动时间增加,TMAO水平升高,H2S水平降低,TMAO/H2S比值升高(P<0.05);与对照组比较,PSD组大鼠糖水偏好度降低(P<0.05);与MCAO组比较,PSD组大鼠神经功能评分升高,强迫游泳静止不动时间增加,糖水偏好度降低,TMAO水升高,H2S水平降低,TMAO/H2S比值升高(P<0.05)。卒中后抑郁大鼠TMAO/H2S比值与神经功能评分、强迫游泳静止不动时间正相关(R^(2)=0.3235,P=0.0269;R^(2)=0.6290,P=0.0004),与糖水偏好度负相关(R^(2)=0.4534,P=0.0059)。与对照组相比,PSD组大鼠IgG蛋白相对表达量升高,Occludin、caudin-5蛋白相对表达量降低(P<0.05);与PSD组比较,粪便移植组、抗生素组、益生菌组、氟西汀组大鼠神经功能评分和强迫游泳静止不动时间均降低,糖水偏好度升高,TMAO/H2S比值降低,IgG蛋白相对表达量降低,Occludin、caudin-5蛋白相对表达量升高(P<0.05)。结论卒中后抑郁大鼠TMAO/H2S比值与神经功能评分、强迫游泳静止不动时间、糖水偏好度相关,调节肠道菌群可改善卒中后抑郁大鼠神经功能和抑郁症状,改善大鼠血脑屏障。

关键词：卒中后抑郁 TMAO/H2S 肠道菌群血脑屏障

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计及蓄电池损耗特性的微网多目标优化运行

中国电机工程学报 2016年第10期36卷 2674-2681页

作者：胡晓通刘天琪何川刘舒刘一奎四川大学电气信息学院四川省成都市610065 国网上海市电力公司电力科学研究院上海市浦东新区200122

为实现微网整体优化的同时计及蓄电池损耗特性,建立以综合发电成本最低、环境效益最好以及蓄电池损耗最低作为优化目标的微网多目标优化模型。引入一种改进的多目标粒子群优化(multiple objective particle swarm optimization,MOPSO)算... 详细信息

为实现微网整体优化的同时计及蓄电池损耗特性,建立以综合发电成本最低、环境效益最好以及蓄电池损耗最低作为优化目标的微网多目标优化模型。引入一种改进的多目标粒子群优化(multiple objective particle swarm optimization,MOPSO)算法,通过采用全局最优自适应选取策略和基于变异算子的种群多样性维护策略,获得较好的收敛性和种群多样性。同时,通过拉丁超立方抽样产生分布更为广阔的初代粒子,从而减少算法陷入局部最优的可能性。最后以某微网作为算例,对所提模型及算法的正确性进行了验证。

关键词：微网优化运行多目标改进多目标粒子群优化算法电池损耗特性

基于动态奖惩电价的微电网与配网协调优化运行

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电力自动化设备 2016年第3期36卷 33-40页

作者：胡晓通刘天琪刘舒何川刘一奎四川大学电气信息学院四川成都610065 国网上海市电力公司电力科学研究院上海200122

为了减轻微电网接入对配网带来的影响,同时提高微电网参与配网优化调度的积极性,提出一种基于动态奖惩电价的含多微电网的配网分层协调优化模型及其优化方法。该模型以10 k V馈线处负荷曲线削峰填谷为目标,给出各微电网的参考计划交换... 详细信息

为了减轻微电网接入对配网带来的影响,同时提高微电网参与配网优化调度的积极性,提出一种基于动态奖惩电价的含多微电网的配网分层协调优化模型及其优化方法。该模型以10 k V馈线处负荷曲线削峰填谷为目标,给出各微电网的参考计划交换功率曲线,各微电网再以各自综合发电成本最小为目标、日前调度交换功率为约束进行二次优化,与配网下发计划交换功率曲线进行匹配,根据匹配程度调整动态奖惩电价。引入一种改进的细菌群体趋药性算法,通过速度和感知范围的自适应调整,使算法的全局和局部搜索能力得到平衡。通过拉丁超立方抽样产生分布更为广阔的初代细菌,从而减少算法陷入局部最优的可能性。以接入微电网的IEEE 69节点配网作为算例,验证了所提模型和算法的有效性。

关键词：配网微电网协调优化动态奖惩电价改进细菌群体趋药性算法