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| 1 | Blockchain: a secure, decentralized, trusted cyber infrastructure solution for future energy systems显示文摘Modern power systems are rapidly evolving into complex cyber-physical systems. The increasingly complex interaction among different energy entities calls for a secure, efficient, and robust cyber infrastructure. As an emerging distributed computing technology, Blockchain provides a secure environment to support such interactions.This paper gives a prospective on using Blockchain as a secure, distributed cyber infrastructure for the future grid.Firstly, the basic principles of Blockchain and its state-ofthe-art are introduced. Then, a Blockchain based smart grid cyber-physical infrastructure model is proposed. Afterwards, some promising application domains of Blockchain in future grids are presented. Following this, some potential challenges are discussed. | Zhaoyang DONG Fengji LUO Gaoqi LIANG | 2018 | Journal of Modern Power Systems and Clean Energy2018，6，5： | 24 |
| 2 | In vitro differentiation of adipose-derived stem cells and bone marrow-derived stromal stem cells into neuronal-like cells显示文摘Adipose-derived stem cells and bone marrow-derived stromal stem cells were co-cultured with untreated or Aβ1-40-treated PC12 cells, or grown in supernatant derived from untreated or Aβ1-40-treated PC12 cells. Analysis by western blot and quantitative real-time PCR showed that protein levels of Nanog, Oct4, and Sox2, and mRNA levels of miR/125a/3p were decreased, while expression of insulin-like growth factor-2 and neuron specific enolase was increased. In comparison, the generation of neuron specific enolase-positive cells was most successful when adipose-derived stem cells were co-cultured with Aβ1-40-treated PC12 cells. Our results demonstrate that adipose-derived stem cells and bone marrow-derived stromal stem cells exhibit trends of neuronal-like cell differentiation after co-culture with Aβ1-40-treated PC12 cells. This process may relate to a downregulation of miR-125a-3p mRNA expression and increased levels of insulin-like growth factor-2 expression. | Jin Zhou Guoping Tian Jing'e Wang Xuefeng Cong Xingkai Wu Siyang Zhang Li Li Bing Xu Feng Zhu Xuedan Luo Jian Han Fengjie Hu | 2011 | Neural Regeneration Research2011，6，19： | 21 |
| 3 | Optimal integration of mobile battery energy storage in distribution system with renewables显示文摘An optimal sizing method is proposed in this paper for mobile battery energy storage system(MBESS)in the distribution system with renewables.The optimization is formulated as a bi-objective problem,considering the reliability improvement and energy transaction saving,simultaneously.To evaluate the reliability of distribution system with MBESS and intermittent generation sources,a new framework is proposed,which is based on zone partition and identification of circuit minimal tie sets.Both analytic and simulation methods for reliability assessment are presented and compared in the framework.Case studies on a modified IEEE benchmark system have verified the performance of the proposed approach. | Yu ZHENG Zhaoyang DONG Shilin HUANG Ke MENG Fengji LUO Jie HUANG David HILL | 2015 | Journal of Modern Power Systems and Clean Energy2015，3，4： | 10 |
| 4 | A low-carbon oriented probabilistic approach for transmission expansion planning显示文摘Following the deregulation of the power industry,transmission expansion planning(TEP)has become more complicated due to the presence of uncertainties and conflicting objectives in a market environment.Also,the growing concern on global warming highlights the importance of considering carbon pricing policies during TEP.In this paper,a probabilistic TEP approach is proposed with the integration of a chance constrained load curtailment index.The formulated dynamic programming problem is solved by a hybrid solution algorithm in an iterative process.The performance of our approach is demonstrated by case studies on a modified IEEE 14-bus system.Simulation results prove that our approach can provide network planners with comprehensive information regarding effects of uncertainties on TEP schemes,allowing them to adjust planning strategies based on their risk aversion levels or financial constraints. | Jing QIU Zhaoyang DONG Junhua ZHAO Ke MENG Fengji LUO Kit Po WONG Chao LU | 2015 | Journal of Modern Power Systems and Clean Energy2015，3，1： | 8 |
| 5 | A novel technique for the optimal design of offshore wind farm electrical layout显示文摘The design of electrical layout is a key element in the offshore wind farm planning.We present a novel electrical layout design optimization method for offshore wind farms in this paper.The proposed method can be used to generate the network model based on fuzzy c-means(FCM)and binary integer programming(BIP)methods.It can automatically allocate wind turbines to the nearest substations and obtain the topology structure of cables utilized to connect wind turbines or turbine and substation.The objective of this optimization is to minimize the investment costs of cable connection and the transmission power losses.The results of case study clearly demonstrated the feasibility of the proposed method and showed that it can be used as a reliable tool for electrical layout design of offshore wind farms. | Yingying CHEN Zhaoyang DONG Ke MENG Fengji LUO Weifeng YAO Jing QIU | 2013 | Journal of Modern Power Systems and Clean Energy2013，1，3： | 5 |
| 6 | Expansion co-planning for shale gas integration in a combined energy market显示文摘Shale gas resources have the potential to sig-nificantly contribute to worldwide energy portfolio.A great number shale gas reserves have been identified in many countries.Connections of newly found gas reserves to the existing energy infrastructures are challenging,as many stakeholders and market uncertainties are involved.The proposed co-planning approach is formulated as a mixed integer nonlinear programming problem so as to minimize investments and enhance the reliability of the overall sys-tem.We propose a reliability assessment approach that is applicable for the coupled gas and electricity networks.In addition,the IEEE 24-bus RTS and a test gas system are applied to validate the performance of our approach.Based on the simulation results,the novel expansion co-planning approach is a robust and flexible decision tool,which provides network planners with comprehensive informa-tion regarding trade-offs between cost and system reliability. | Jing QIU Zhaoyang DONG Junhua ZHAO Ke MENG Fengji LUO Yingying CHEN | 2015 | Journal of Modern Power Systems and Clean Energy2015，3，3： | 4 |
| 7 | A day-ahead scheduling framework for thermostatically controlled loads with thermal inertia and thermal comfort model显示文摘This paper proposes a day-ahead dispatch framework of thermostatically controlled loads(TCLs) for system peak load reduction. The proposed day-ahead scheduling framework estimates the user’s indoor thermal comfort degree through the building thermal inertia modelling. Based on the thermal comfort estimation, a dayahead TCL scheduling model is formulated, which consists of 3 stages: TCL aggregator estimates maximal controllable TCL capacities at each scheduling time interval by solving a optimization model;[ the system operator performs the day-ahead system dispatch to determine the load shedding instruction for each aggregator;and ′the TCL aggregator schedules the ON/OFFcontrol actions of the TCL groups based on the instruction from the system operator. A heuristic based optimization method, history driven differential evolution(HDDE)algorithm, is employed to solve the day-ahead dispatch model of the TCL aggregator side. Simulations are conducted to validate the proposed model. | Yingying CHEN Fengji LUO Zhaoyang DONG Ke MENG Gianluca RANZI Kit Po WONG | 2019 | Journal of Modern Power Systems and Clean Energy2019，7，3： | 3 |
| 8 | Direct load control by distributed imperialist competitive algorithm显示文摘Demand side management techniques have drawn significant attentions along with the development of smart grid.This paper proposes a new direct load control(DLC)model for scheduling interruptible air conditioner loads.The model is coordinated with the unit commitment and economic dispatch to minimize the total operation cost over the whole dispatch horizon.The network constraints are also considered in the model.To ensure the thermal comfort of the occupants,we are among the first to incorporate the advanced two-parameter thermal inertia dynamical model of customer houses into the DLC model to calculate the indoor temperature variation.This paper also proposes a distributed imperialist competitive algorithm to effectively solve the model.The simulation studies prove the efficiency of the proposed methodology. | Fengji LUO Junhua ZHAO Haiming WANG Xiaojiao TONG Yingying CHEN Zhao Yang DONG | 2014 | Journal of Modern Power Systems and Clean Energy2014，2，4： | 3 |
| 9 | Coordinated operational planning for wind farm with battery energy storage system显示文摘 | Luo Fengji Meng Ke Dong Zhaoyang | 2015 | IEEE Transactions on Sustainable Energy2015，6，1： | 1 |
| 10 | Immunization status and risk factors of migrant children in densely populated areas of Beijing, China显示文摘 | Meiping Sun Rui Ma Yang Zeng Fengji Luo Jing Zhang Wenjun Hou | 2009 | Vaccine2009，，5： | 1 |
| 11 | Risk Factors for Syphilis and Prevalence of Hiv,Hepatitis B and C among Men Who Have Sex with Men in Beijing,China:Implications for Hiv Prevention显示文摘 | Yuhua Ruan Fengji Luo Yujiang Jia | 2009 | AIDS and Behavior2009，13，： | 1 |
| 12 | Risk Factors for Syphilis and Prevalence of HIV, Hepatitis B and C among Men Who Have Sex with Men in Beijing, China: Implications for HIV Prevention显示文摘 | Yuhua Ruan Fengji Luo Yujiang Jia Xinxu Li Qingchun Li Hongyuan Liang Xiaoxi Zhang Dongliang Li Wei Shi Jennifer M. Freeman Sten H. Vermund Yiming Shao | 2009 | AIDS and Behavior2009，，： | 1 |
| 13 | A bifunctional MXene-modified scaffold for photothermal therapy and maxillofacial tissue regeneration显示文摘Oral squamous cell carcinoma is one of the most common malignant tumours in the oral and maxillofacial regions and is highly malignant and prone to recur despite the development of various effective treatments,including surgery and chemoradiotherapy.Actually,it is difficult to ensure the complete elimination of tumour cells,and maxillofacial bone defects caused by surgery are hard to heal by themselves.In addition,chemoradiotherapy can bring serious side-effects.Therefore,it is imperative to develop a postoperative therapy to kill residual squamous cancer cells and repair bone defects without any side-effects.Here,we prepared a 3D scaffold by a 3D printing technique and freeze-drying method,which contained collagen,silk and hydroxyapatite(CSH)and was functionalized with MXene nanosheets(M-CSH).The considerable photothermal effect with long-term stability can significantly kill squamous CAL-27 cancer cells in vitro and inhibit tumour growth in vivo,increasing the probability of the M-CSH scaffold being applied in the photothermal therapy of oral squamous cell carcinoma.Moreover,the cell proliferation-and osteogenic-related protein expression of mouse embryonic osteogenic precursors(MC3T3-E1)indicated excellent biocompatibility and osteogenic activity of M-CSH scaffolds.The good compression modulus(52.8362.25 kPa)and in vivo bone formation performance made it possible to be used as reconstructive materials for bone defects.This scaffold is likely promising in future tissue engineering,especially for the multifunctional treatment of maxillofacial tumours. | Fengji Li Yanling Yan Yanan Wang Yaru Fan Huiru Zou Han Liu Rui Luo Ruixin Li Hao Liu | 2021 | Regenerative Biomaterials2021，8，6： | 0 |
| 14 | Monte Carlo Simulation-Based Robust Workflow Scheduling for Spot Instances in Cloud Environments显示文摘When deploying workflows in cloud environments,the use of Spot Instances(SIs)is intriguing as they are much cheaper than on-demand ones.However,Sls are volatile and may be revoked at any time,which results in a more challenging scheduling problem involving execution interruption and hence hinders the successful handling of conventional cloud workflow scheduling techniques.Although some scheduling methods for Sls have been proposed,most of them are no more applicable to the latest Sls,as they have evolved by eliminating bidding and simplifying the pricing model.This study focuses on how to minimize the execution cost with a deadline constraint when deploying a workflow on volatile Sls in cloud environments.Based on Monte Carlo simulation and list scheduling,a stochastic scheduling method called MCLS is devised to optimize a utility function introduced for this problem.With the Monte Carlo simulation framework,MCLS employs sampled task execution time to build solutions via deadline distribution and list scheduling,and then returns the most robust solution from all the candidates with a specific evaluation mechanism and selection criteria.Experimental results show that the performance of MCLS is more competitive comparedwithtraditionalalgorithms. | Quanwang Wu Jianzhao Fang Jie Zeng Junhao Wen Fengji Luo | 2024 | Tsinghua Science and Technology2024，29，1： | 0 |
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