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| 1 | Optimal Planning of AC-DC Hybrid Transmission and Distributed Energy Resource System: Review and Prospects显示文摘With the highly-extensive integration of distributed renewable energy resources(DER)into the grid,the power distribution system has changed greatly in the structure,function and operating characteristics.On this ground,An AC-DC hybrid DER system becomes necessary for effective management and control over DER.This paper first summarizes the physical characteristics and morphological evolution of AC-DC hybrid DER system.The impact of these new features on system configuration planning is analyzed with respect to its flexible networking,rich operation control modes,and tight sourcenetwork-load-storage coupling.Then,based on a review of the existing research,problems and technical difficulties are figured out in terms of converter modeling,steady-state analysis,power flow calculation,operating scenarios management,and optimization model solution.In light of the problems and difficulties,a framework for the configuration optimization of AC-DC hybrid DER systems is proposed.At last,the paper provides a prospect of key technologies from six aspects including morphology forecasting,coupling interaction analysis,uncertainty modeling,operation simulation,optimization model solving algorithm and comprehensive scheme evaluation. | Xianglong Liu Youbo Liu Junyong Liu Yue Xiang Xiaodong Yuan | 2019 | CSEE Journal of Power and Energy Systems2019，5，3： | 13 |
| 2 | Clean Energy Consumption of Power Systems Towards Smart Agriculture: Roadmap, Bottlenecks and Technologies显示文摘Over the past decades,both agriculture and power systems have faced serious problems,such as the power supply shortage in agriculture,and difficulties of clean energy consump-tion in the power system.To address and overcome these issues,this paper proposes an idea to combine smart agriculture and clean energy consumption,use surplus clean energy to supply agriculture production,and utilize smart agriculture to support power system with clean energy penetration.A comprehensive review has been conducted to first depict the roadmap of coupling a agriculture-clean energy system,analyze their feasibilities and advantages.The recent technologies and bottlenecks are summa-rized and evaluated for the development of a combined system consisting of smart agriculture production and clean energy consumption.Several case studies are introduced to explore the mutual benefits of agriculture-clean energy systems in both the energy and food industries. | Junyong Liu Yanxin Chai Yue Xiang Xin Zhang Si Gou Youbo Liu | 2018 | CSEE Journal of Power and Energy Systems2018，4，3： | 9 |
| 3 | Power flow calculation for a distribution system with multi-port PETs:an improved AC-DC decoupling iterative method显示文摘Recently,power electronic transformers(PETs)have received widespread attention owing to their flexible networking,diverse operating modes,and abundant control objects.In this study,we established a steady-state model of PETs and applied it to the power flow calculation of AC-DC hybrid systems with PETs,considering the topology,power balance,loss,and control characteristics of multi-port PETs.To address new problems caused by the introduction of the PET port and control equations to the power flow calculation,this study proposes an iterative method of AC-DC mixed power flow decoupling based on step optimization,which can achieve AC-DC decoupling and effectively improve convergence.The results show that the proposed algorithm improves the iterative method and overcomes the overcorrection and initial value sensitivity problems of conventional iterative algorithms. | Hang Yin Qiang Li Youbo Liu Xianglong Liu Yue Xiang Junyong Liu | 2020 | Global Energy Interconnection2020，3，4： | 5 |
| 4 | A Two-stage Robust Optimal Allocation Model of Distributed Generation Considering Capacity Curve and Real-time Price Based Demand Response显示文摘Demand response, the reactive power output of distributed generation(DG), and network reconfiguration have significant impacts on a DG allocation strategy. In this context, a novel real-time price-based demand response formulation is integrated into the allocation model of DG. The tariff is regulated by the difference between the load and active power of renewable energy. Meanwhile, network reconfiguration and the capacity curve describing the active and reactive power limits of DG are included in the optimization model for promoting the allocation of DG.With these measures, the optimal allocation model of DG is established with the goal of maximizing the net annual profit while guaranteeing the efficient utilization of renewable energy. In addition, the uncertainties of renewable energy are considered on the basis of a two-stage robust optimization method. Finally, the entire optimization model is solved by the column and constraint generation algorithm in the IEEE 33-bus distribution system and a practical 99-bus distribution system. Numerical simulations show that the proposed model is effective in terms of improving both the usage of renewable energy and net annual profit. | Shuaijia He Hongjun Gao Hao Tian Lingfeng Wang Youbo Liu Junyong Liu | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，1： | 5 |
| 5 | Integrated traffic-power simulation framework for electric vehicle charging stations based on cellular automaton显示文摘This paper presents a novel integrated framework for simulating the charging load of an electric vehicle charging station. The framework is built based on the cellular automaton model, including five modules: vehicle generation, charging station, lane change, speed update and boundary clear. The proposed framework can effectively stimulate the system dynamics of the traffic system and charging power process in a charging station. Case studies have verified its feasibility and effectiveness. | Yue XIANG Zipeng LIU Jichun LIU Youbo LIU Chenghong GU | 2018 | Journal of Modern Power Systems and Clean Energy2018，6，4： | 4 |
| 6 | Geochemistry, Geochronology, and Hf isotopic Composition of the Late Paleoproterozoic Lujiapuzi Formation,NE Yan-Liao Rift, Northern Liaoning显示文摘The metasedimentary Lujiapuzi Formation crops out along the northeastern margin of the North China Craton, close to the Yan-Liao Rift. The age and tectonic setting of the formation, and its relationship with the Yan-Liao Rift are currently unclear. Here we present detrital zircon U-Pb ages, and Hf isotopic and geochemical data for the Lujiapuzi Formation to constrain the timing of deposition, the provenance of the formation, and the regional stratigraphy relationship. Zircon U-Pb dating constrains the timing of deposition of the Lujiapuzi Formation to younger than 1780 Ma, and indicates that most grains were sourced from the Longgang Block and the Paleoproterozoic Liao-Ji Belt. Detailed field investigations and a correlation of the regional stratigraphy reveal that much of the Lujiapuzi Formation is equivalent to the Tuanshanzi Formation in the Yan-Liao Rift; the lower section may represent the earliest sediments deposited within the Fanhe Basin. Based on these results and the findings of previous studies, we suggest that the base of the Changcheng System has an age of 1.80 Ga. Zircon Hf isotopic data indicate that the main period of crustal growth along the northeastern margin of the North China Craton occurred at 3.2–2.5 Ga, with a peak at 2.9–2.7 Ga. | LIU Jin ZHANG Jian LIU Zhenghong YIN Changqing ZHAO Chen PENG Youbo DOU Shiyong YANG Zhongjie | 2018 | Acta Geologica Sinica(English Edition)2018，92，6： | 3 |
| 7 | Multi-indicator Inference Scheme for Fuzzy Assessment of Power System Transient Stability显示文摘A multi-indicator inference scheme is proposed in this paper to achieve an intuitive assessment of post-fault transient stability of power systems.The proposed scheme uses the fuzzy inference technique to classify the stability level as“safe,”“low-risk,”“high-risk,”and“danger.”A multi-criteria quality assessment method is first introduced.Several transient indicators are then proposed as assessment criteria.To select the effective indicators for assessment,correlation mining using univariate regression analysis is performed between each indicator and a critical clearance time(CCT)-based stability index.The fuzzy sets of indicators for different stability levels are then determined according to their correlations with the stability index.The weighting factors of indicators are also allocated according to their regression error in correlation mining.The proposed inference scheme is further demonstrated and its effectiveness is validated in case studies on IEEE 68-bus system and a 756-bus transmission system in China. | Tingjian Liu Youbo Liu Junyong Liu Yue Yang Gareth A.Taylor Zhengwen Huang | 2016 | CSEE Journal of Power and Energy Systems2016，2，3： | 2 |
| 8 | Crosstalk between CYP2E1 and PPARα substrates and agonists modulate adipose browning and obesity显示文摘Although the functions of metabolic enzymes and nuclear receptors in controlling physiological homeostasis have been established, their crosstalk in modulating metabolic disease has not been explored.Genetic ablation of the xenobiotic-metabolizing cytochrome P450 enzyme CYP2 E1 in mice markedly induced adipose browning and increased energy expenditure to improve obesity. CYP2 E1 deficiency activated the expression of hepatic peroxisome proliferator-activated receptor alpha(PPARa) target genes,including fibroblast growth factor(FGF) 21, that upon release from the liver, enhanced adipose browning and energy expenditure to decrease obesity. Nineteen metabolites were increased in Cyp2 e1-null mice as revealed by global untargeted metabolomics, among which four compounds, lysophosphatidylcholine and three polyunsaturated fatty acids were found to be directly metabolized by CYP2 E1 and to serve as PPARa agonists, thus explaining how CYP2 E1 deficiency causes hepatic PPARa activation through increasing cellular levels of endogenous PPARa agonists. Translationally, a CYP2 E1 inhibitor was found to activate the PPARa-FGF21-beige adipose axis and decrease obesity in wild-type mice, but not in liver-specific Pparanull mice. The present results establish a metabolic crosstalk between PPARa and CYP2 E1 that supports the potential for a novel anti-obesity strategy of activating adipose tissue browning by targeting the CYP2 E1 to modulate endogenous metabolites beyond its canonical role in xenobiotic-metabolism. | Youbo Zhang Tingting Yan Tianxia Wang Xiaoyan Liu Keisuke Hamada Dongxue Sun Yizheng Sun Yanfang Yang Jing Wang Shogo Takahashi Qiong Wang Kristopher W.Krausz Changtao Jiang Cen Xie Xiuwei Yang Frank J.Gonzalez | 2022 | Acta Pharmaceutica Sinica B2022，12，5： | 1 |
| 9 | Missing interpolation model for wind power data based on the improved CEEMDAN method and generative adversarial interpolation network显示文摘Randomness and fluctuations in wind power output may cause changes in important parameters(e.g.,grid frequency and voltage),which in turn affect the stable operation of a power system.However,owing to external factors(such as weather),there are often various anomalies in wind power data,such as missing numerical values and unreasonable data.This significantly affects the accuracy of wind power generation predictions and operational decisions.Therefore,developing and applying reliable wind power interpolation methods is important for promoting the sustainable development of the wind power industry.In this study,the causes of abnormal data in wind power generation were first analyzed from a practical perspective.Second,an improved complete ensemble empirical mode decomposition with adaptive noise(ICEEMDAN)method with a generative adversarial interpolation network(GAIN)network was proposed to preprocess wind power generation and interpolate missing wind power generation sub-components.Finally,a complete wind power generation time series was reconstructed.Compared to traditional methods,the proposed ICEEMDAN-GAIN combination interpolation model has a higher interpolation accuracy and can effectively reduce the error impact caused by wind power generation sequence fluctuations. | Lingyun Zhao Zhuoyu Wang Tingxi Chen Shuang Lv Chuan Yuan Xiaodong Shen Youbo Liu | 2023 | Global Energy Interconnection2023，6，5： | 1 |
| 10 | A Hybrid Agent-based Model Predictive Control Scheme for Smart Community Energy System with Uncertain DGs and Loads显示文摘A multi-agent consensus-based market scheme is proposed for the cooperation of community and multiple microgrids(MGs)in a distributed,economic and hierarchal man-ner.The proposed community-based market framework with frequency regulation(FR)market is formulated as a two-level scheduling problem:the global decision-making process of community agent(CA)to participate in the FR market and the interaction and control process of local MGs to achieve collaboration in response to the global target with efficient pricing rules.Specifically,the model predictive control(MPC)is integrated with the consensus-based theory to allow MG to obtain an economic and reliable dispatch in the presence of uncertainties of distributed generators and loads.Thanks to the distributed nature of the proposed scheme,its robustness to communication issues has been strengthened and a win-win situation for all energy stakeholders can be achieved.The robustness of the proposed scheme is investigated in various conditions,including different implementation strategies,communication topologies,and the level of uncertainties. | Xiaodi Wang Youbo Liu Junbo Zhao Junyong Liu | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，3： | 0 |
| 11 | Measurement-based Cell-DT Method for Power System Transient Stability Classification显示文摘In this paper,a combined Characteristic Ellipsoid(CELL)and Decision Tree(DT)method for fast classifying the transient stability of power systems after a large disturbance is proposed.The proposed two-stage method involves projection of the PMU measurement data after the disturbance on a multidimensional space to form the CELL and then classification of the transient stability using DT which takes the characteristic attributes of CELL under different fault scenarios as input features.The dynamic behaviors after a disturbance for both stable and unstable situations are identified from the variation of the CELL’s shape.The database,composed of the geometrical properties of the CELL such as volume,eccentricity,center and change rate of volume,is used to train a DT for transient stability classification.Case study on a IEEE 39-bus system demonstrates the feasibility of the proposed method.Investigations show that the proposed method requires less information from the system to fast classify the transient stability with high precision. | Yue Yang Yuan Huang Junyong Liu Youbo Liu Tingjian Liu Yue Xiang | 2017 | CSEE Journal of Power and Energy Systems2017，3，3： | 0 |
| 12 | A Data-driven Distributionally Robust Operational Model for Urban Integrated Energy Systems显示文摘A multi-energy conversion can effectively increase the utilization of renewable energy in the urban integrated energy system(UIES).Meanwhile,the uncertainties of renewable energy resources(e.g.,wind energy)also bring increased challenges to the operation of UIES.In this study,a typical two-stage datadriven distributionally robust operation(DDRO)model based on finite scenarios is proposed for UIES including power,gas and heat networks to obtain a salient strategy from both an economic and robustness perspective.In the first stage,the forecasted information for wind power is especially included to improve the economic aspect of robust decisions.The worst probability distribution for the selected known real-time wind power scenarios can be identified in the second stage where the power differences caused by the real-time uncertainties of wind power can be mitigated by flexible regulation of energy purchasing and coupling units(such as gas turbine,power to gas equipment,electric boiler and gas boiler).Moreover,norm-1 and norm-inf co-constraints are utilized to construct a confidence set for the probability distributions of uncertain wind power.The whole two-stage model is solved by the column-and-constraint generation(CCG)algorithm.Finally,case studies are conducted to show the performance of the proposed model and various approaches.Index Terms-Data-driven methods,distributionally robust optimization,urban integrated energy system,wind power. | Hongjun Gao Zhenyu Liu Youbo Liu Lingfeng Wang Junyong Liu | 2022 | CSEE Journal of Power and Energy Systems2022，8，3： | 0 |
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