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Two-stage Planning Method for Energy Router Considering Its Optimal Operation in Distribution Networks

CSEE Journal of Power and Energy Systems 2024年第2期10卷 605-616页

作者： Meifu chen Mingchao Xia qifang chen School of Electrical Engineering Beijing Jiaotong UniversityBeijing 100044China

An energy router can effectively optimize the network loss and power quality of distribution networks. The optimal configuration of the energy router is relatively complex because issues dynamically influence each other, such as the location of the energy router, optimal number and capacity of its ports, and building new distribution lines for the ports. Presently, there has been very few research studies on the practical problems for the energy router. In this paper, a planning model of an energy router combined with the distribution network is established, which fully exploits the active and reactive power control abilities of the energy router to optimize the operation of the grid. The configuration problem is decoupled into two stages. The upper layer determines the location of the energy router and the parameters of the candidate new distribution lines for the ports. The lower layer calculates the optimal configuration of the energy router by minimizing the total annual cost. Because of the same rated bus voltage in the distribution network, the existing structure of the energy router is changed to be more applicable for the distribution network, and then the power flow model of the energy router is also modified. Due to the nonlinearity of the model, the planning model is converted into a mixed-integer second-order cone model to solve efficiently. In addition, some core factors influencing the optimal scheme of the energy router are also analyzed in this paper. Simulation results show that the optimal scheme of the energy router can significantly improve the economic deployment of the energy router, and optimize the network loss and power quality of the distribution network.

关键词： Capacity allocation distribution network energy router optimal operation

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Data-driven Detection and Identification of Line Parameters with PMU and Unsynchronized SCADA Measurements in Distribution Grids

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CSEE Journal of Power and Energy Systems 2024年第1期10卷 261-271页

作者： Jinping Sun qifang chen Mingchao Xia School of Electrical Engineering Beijing Jiaotong University(BJTU)Beijing 100044China

Line parameters play an important role in the control and management of distribution ***,phasor measurement unit(PMU)systems and supervisory control and data acquisition(SCADA)systems coexist in distribution ***,SCADA and PMU measurements usually do not match each other,resulting in inaccurate detection and identification of line parameters based on *** solve this problem,a data-driven method is *** measurements are taken as samples and PMU measurements as the population.A probability parameter identification index(PPII)is derived to detect the whole line parameter based on the probability density function(PDF)parameters of the *** parameter identification,a power-loss PDF with the PMU time stamps and a power-loss chronological PDF are derived via kernel density estimation(KDE)and a conditional ***,the power-loss samples with the PMU time stamps and chronological correlations are generated by the two PDFs of the power loss via the Metropolis-Hastings(MH)***,using the power-loss samples and PMU current measurements,the line parameters are identified using the total least squares(TLS)*** simulations demonstrate the effectiveness of the proposed method for distribution network line parameter detection and identification.

关键词： Distribution systems line parameter detection and identification probability density function sampling algorithm the time skew of PMU and SCADA measurements

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Planning Model for Energy Routers Considering Peer-to-Peer Energy Transactions Among Multiple Distribution Networks

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1026-1043页

作者： Meifu chen Mingchao Xia qifang chen School of Electrical Engineering Beijing Jiaotong UniversityBeijing 100044China IEEE

A high proportion of renewable energy affects the power quality of distribution networks,and surplus energy will be sold to the upstream grid at a low *** this paper,considering peer-to-peer energy transactions,the energy router-based multiple distribution networks are analyzed to solve the above problems and realize collaborative consumption of renewable ***,the investing cost of an energy router is high,and research on the economic operation of energy routers in distribution networks is ***,this paper establishes a planning model for energy routers considering peer-to-peer energy transactions among distribution networks,and explores the benefits of peer-to-peer energy transactions through energy router based multiple distribution networks.A structure of an energy router suitable for peer-to-peer energy transactions is selected,and a power flow calculation model based on a multilayer structure is *** energy router’s scheduling model is established,and unique functions of the energy router and revenue of each distribution network are considered.A power flow calculation model based on peer-to-peer interconnection of multiple distribution networks through energy routers is also ***,simulation results verify the effectiveness of the proposed planning *** show that peer-topeer energy transaction among distribution networks through energy routers can effectively reduce the comprehensive cost of distribution networks,significantly improve the power quality of the distribution networks,and reduce the impact of power fluctuation on the upstream grid incurred by the distribution network.

关键词： Capacity allocation energy router multiple distribution networks peer-to-peer energy transaction power flow optimization

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Stochastic and Distributed Optimal Energy Management of Active Distribution Networks Within Integrated Office Buildings

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CSEE Journal of Power and Energy Systems 2024年第2期10卷 504-517页

作者： Zening Li Su Su Xiaolong Jin Mingchao Xia qifang chen Koji Yamashita National Active Distribution Network Technology Research Center Beijing Jiaotong UniversityBeijing 100044China Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin 300072China Electrical and Computer Engineering University of California RiversideCA92521USA.

This paper proposes a stochastic and distributed optimal energy management approach for active distribution networks(ADNs)within office *** proposed approach aims at scheduling office buildings fitted with heating ventilation and air conditioning(HVAC)systems,and electric vehicle(EV)charging piles,to participate in the ADN ***,an energy management approach for the ADN with aggregated office buildings is *** the ADN optimization model is formulated considering the detailed building thermal dynamics and the mobile behaviors of ***,to consider un-certainties of photovoltaic(PV)power,scenario-based stochastic programming is integrated into the ADN optimization *** further realize the stochastic energy management of the ADN within office buildings in a distributed manner,the alternating direction method of multipliers(ADMM)is used to solve the ADN optimization *** original ADN optimization problem is divided into the network-side and the building-side sub-problems to effectively protect the privacy of the ADN and the office ***,the ADN optimization model incorporating office buildings is validated in the winter by numerical *** addition,the impacts of comfort temperature range and expected state of charge(SOC)at departure are *** Terms—ADN,EV,HVAC system,Office building,Stochastic and distributed energy management.

关键词： ADN EV HVAC system Office building Stochastic and distributed energy management

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计及道路交通指数影响的公交充电站充电桩优化配置方法

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电力系统自动化 2024年第15期48卷 35-43页

作者：谢桦刘哲王云嘉陈奇芳北京交通大学电气工程学院北京市100044

当前中国大力推动城市公交车全面电动化,优化配置充电桩是公交充电站建设的关键。文中提出了计及道路交通指数影响的公交充电站充电桩优化配置方法,首先,综合考虑公交线路交通专用道启用时段和季节性附加能耗,提出了基于道路交通指数的... 详细信息

当前中国大力推动城市公交车全面电动化,优化配置充电桩是公交充电站建设的关键。文中提出了计及道路交通指数影响的公交充电站充电桩优化配置方法,首先,综合考虑公交线路交通专用道启用时段和季节性附加能耗,提出了基于道路交通指数的充电桩优化配置模型的典型运行场景提取方法,构建了基于公交线路交通指数的公交车能耗模型;然后,综合考虑规划周期内充电桩配置成本和充电站日充电成本,构建了公交充电站充电桩配置双层优化模型,并设计了基于列生成算法的高维混合整数规划模型求解方法;最后,以某待建公交车充电站为算例开展了有效性验证。结果表明,所提方法得到的配置方案可同时满足接入点配电容量限制和公交通勤要求,并提升充电站运营经济性。

关键词：公交充电站充电桩交通指数通勤需求配电容量运营经济性

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面向高比例新能源接入的电氢耦合系统设想及分析

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电力自动化设备 2024年第4期44卷 1-8页

作者：羡一鸣安之刘斯伟戚庆茹夏明超陈奇芳北京交通大学电气工程学院北京100044 国网经济技术研究院有限公司北京102209

高比例新能源接入电力系统,其高随机性与波动性将造成系统“源-荷”结构失衡,且高比例电力电子化将导致传统电力系统以同步发电机和机电动态特性为基础的技术特性发生深刻变化。为此,提出了一种采用“送端绿电离网外送-受端离网制氢-氢... 详细信息

高比例新能源接入电力系统,其高随机性与波动性将造成系统“源-荷”结构失衡,且高比例电力电子化将导致传统电力系统以同步发电机和机电动态特性为基础的技术特性发生深刻变化。为此,提出了一种采用“送端绿电离网外送-受端离网制氢-氢燃气并网发电”模式的电氢耦合系统,即在送端将新能源电力汇集接入至与交流电网无电气联系的直流输电网络中,在受端满足电解水制氢直流负荷并通过氢燃气发电方式支撑交流电网,从而将大量新能源消纳和新增“西电东送”需求与送端/受端交流电网解耦。所提电氢耦合系统不仅能改善系统电力电量平衡,促进高比例新能源消纳,还能够保障电力系统的安全可靠运行,可为我国高比例新能源电力系统的演进方向提供参考。

关键词：高比例新能源电氢耦合系统直流电网电解水制氢储氢

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Outlier Reconstruction Based Distribution System State Estimation Using Equivalent Model of Long Short-term Memory and Metropolis-Hastings Sampling

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Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1625-1636页

作者： Mingchao Xia Jinping Sun qifang chen School of Electrical Engineering Beijing Jiaotong University(BJTU)Beijing 100044China IEEE

The accuracy of distribution system state estimation(DDSE)is reduced when phasor measurement unit(PMU)measurements contain outliers because of cyber attacks or global positioning system spoofing ***,to enhance the robustness of DDSE to measurement outliers,approximate the target distribution of Metropolis-Hastings(MH)sampling,and judge the prediction of the long short-term memory(LSTM)network,this paper proposes an outlier reconstruction based state estimation method using the equivalent model of the LSTM network and MH sampling(E-LM model),motivated by the characteristics of the chronological correlations of PMU ***,the target distribution of outlier reconstruction is derived using a kernel density estimation ***,the reasons and advantages of the E-LM model are explained and analyzed from a mathematical point of *** proposed LSTM-based MH sampling can approximate the target distribution of MH sampling to decrease the number of the futile ***,the proposed MH-based forecasting of the LSTM can judge each LSTM prediction,which is independent of its true ***,simulations are conducted to evaluate the performance of the E-LM model by integrating the LSTM network and the MH sampling into the outlier reconstruction based DDSE.

关键词： Distribution system state estimation(DDSE) outlier reconstruction phasor measurement unit(PMU) equivalent model long short-term memory(LSTM)network Metropolis-Hastings sampling

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广东省2018-2022年侵袭性非伤寒沙门菌病原学特征分析

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中华流行病学杂志 2024年第4期45卷 520-528页

作者：邹敏何冬梅徐静程琦欧阳方竹陈乐妍陈启方柯昌文柯碧霞中山大学公共卫生学院广州510080 广东省疾病预防控制中心广东省新发传染病应急检测技术研究与应用重点实验室广州510080 广东药科大学公共卫生学院广州510080 广州中医药大学中药学院广州510080 南方医科大学公共卫生学院广州510080

目的了解2018-2022年广东省侵袭性非伤寒沙门菌(iNTS)的血清型分布、耐药性以及分子流行情况,为沙门菌侵袭性感染的防治提供科学依据。方法对2018-2022年广东省分离自血液和粪便样本的沙门菌进行血清学鉴定、药敏试验、多位点序列分型(M... 详细信息

目的了解2018-2022年广东省侵袭性非伤寒沙门菌(iNTS)的血清型分布、耐药性以及分子流行情况,为沙门菌侵袭性感染的防治提供科学依据。方法对2018-2022年广东省分离自血液和粪便样本的沙门菌进行血清学鉴定、药敏试验、多位点序列分型(MLST)和全基因组测序。同时利用微生物基因注释系统对测序结果开展耐药基因与毒力因子注释。结果136株iNTS分为25种血清型,肠炎沙门菌占38.24%(52/136)。以鼠伤寒变种沙门菌作为对照计算其余iNTS血清型的OR值,奥雷宁堡、里森和波摩那3种沙门菌血清型的OR值较高,分别为423.50、352.92和211.75。iNTS耐药率在0.74%~66.91%之间,普遍低于非iNTS株(3.90%~77.21%)。iNTS耐药以氨苄西林和四环素为主,耐药率分别为66.91%(91/136)和50.00%(68/136),而对环丙沙星(5.88%,8/136)、头孢他啶(5.88%,8/136)、庆大霉素(5.13%,7/136)和头孢西丁(0.74%,1/136)耐药率较低。iNTS携带多种耐药基因与毒力因子,但尚未发现共同毒力因子分布特征。MLST聚类分析显示,iNTS分为26种序列型别,ST11型占38.24%(52/136)。结论2018-2022年广东省iNTS以肠炎沙门菌为主,其中奥雷宁堡、里森和波摩那3种血清型可能与更高的侵袭性感染风险有关。iNTS对临床一线治疗药物(头孢类和氟喹诺酮类抗生素)敏感,序列呈现高度多样性且具有明确的系统发育分支,以ST11型为本地优势克隆群。

关键词：侵袭性非伤寒沙门菌血清学鉴定全基因组测序耐药基因毒力因子

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Optimal Scheduling of Residential Heating, Ventilation and Air Conditioning Based on Deep Reinforcement Learning

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Journal of Modern Power Systems and Clean Energy 2023年第5期11卷 1596-1605页

作者： Mingchao Xia Fangjian chen qifang chen Siwei Liu Yuguang Song Te Wang School of Electrical Engineering Beijing Jiaotong UniversityBeijingChina State Grid State Power Economic Research Institute BeijingChina

Residential heating, ventilation and air conditioning(HVAC) provides important demand response resources for the new power system with high proportion of renewable energy. Residential HAVC scheduling strategies that adapt to realtime electricity price signals formulated by demand response program and ambient temperature can significantly reduce electricity costs while ensuring occupants' comfort. However, since the pricing process and weather conditions are affected by many factors, conventional model-based method is difficult to meet the scheduling requirements in complex environments. To solve this problem, we propose an adaptive optimal scheduling strategy for residential HVAC based on deep reinforcement learning(DRL) method. The scheduling problem can be regarded as a Markov decision process(MDP). The proposed method can adaptively learn the state transition probability to make economical decision under the tolerance violations. Specifically, the residential thermal parameters obtained by the leastsquares parameter estimation(LSPE) can provide a basis for the state transition probability of MDP. Daily simulations are verified under the electricity prices and temperature data sets, and numerous experimental results demonstrate the effectiveness of the proposed method.

关键词： Residential heating ventilation and air conditioning(HVAC) scheduling deep reinforcement learning leastsquares parameter estimation(LSPE)

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Adaptive Islanding Strategy of Sustainable Distribution System for Post-restoration Failures

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CSEE Journal of Power and Energy Systems 2023年第4期9卷 1517-1531页

作者： qifang chen Kaka Sanaullah Ammar Tahir Mazhar Hussain Ali Raza Meer Mingchao Xia the Beijing Jiaotong University 100044Beijing China.

The power system is susceptible to failures,and further interruptions by subsequent outages which may cause extended events in the formed *** of the literature reviewed has focused on island formation after the disconnection of the main grid ***,there is still a need to analyze the post-restoration failures to improve the resilience and minimize the pro-longed disconnection of priority *** current research investigates the behavior of islanding schemes under secondary collapses and provides an adaptive solution to withstand such severities.A new total active critical node finding methodology is presented which eases the rearrangement of the initially formed island when affected by multiple faults or DG *** concept of single islanding with the coordination of multiple DGs is also discussed,in which the DG's power-sharing capacity is not confined to the boundaries of only particular *** economic plan is also proposed to select the controlled type DGs to reduce the overall cost of generation by reducing fuel *** evaluate the network's effectiveness and robustness,the proposed adaptive method is deployed on an updated IEEE 69-bus distribution *** Terms-Active distribution network,distributed generation,multi-objective,post-restoration,single islanding.

关键词： Active distribution network distributed generation multi-objective post-restoration single islanding.

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