|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Field experiment on a robust hierarchical metropolitan quantum cryptography network显示文摘A hierarchical metropolitan quantum cryptography network upon the inner-city commercial telecom fiber cables is reported in this paper. The seven-user network contains a four-node backbone net with one node acting as the subnet gateway, a two-user subnet and a single-fiber access link, which is realized by the Faraday-Michelson interferometer set-ups. The techniques of the quantum router, optical switch and trusted relay are assembled here to guarantee the feasibility and expandability of the quantum cryptography network. Five nodes of the network are located in the government departments and the secure keys generated by the quantum key distribution network are utilized to encrypt the instant video, sound, text messages and confidential files transmitting between these bureaus. The whole implementation including the hierarchical quantum cryptographic communication network links and the corresponding application software shows a big step toward the practical user-oriented network with a high security level. | XU FangXing CHEN Wei WANG Shuang YIN ZhenQiang ZHANG Yang LIU Yun ZHOU Zheng ZHAO YiBo LI HongWei LIU Dong HAN ZhengFu GUO GuangCan | 2009 | Chinese Science Bulletin2009，54，17： | 40 |
| 2 | Bidding strategy for wind generation considering conventional generation and transmission constraints显示文摘Under the environmental crisis of global warming,more efforts are put in application of low carbon energy,especially low-carbon electricity.Development of wind generation is one potential solution to provide lowcarbon electricity source.This paper researches operation of wind generation in a de-regulated power market.It develops bidding models under two schemes for variable wind generation to analyze the competition among generation companies(GENCOs)considering transmission constraints.The proposed method employs the supply function equilibrium(SFE)for modeling the bidding strategy of GENCOs.The bidding process is solved as a bi-level optimization problem.In the upper level,the profit of an individual GENCO is maximized;while in the lower level,the market clearing process of the independent system operator(ISO)is modeled to minimize the production cost.An intelligent search based on genetic algorithm and Monte Carlo simulation(MCS)is applied to obtain the solution.The PJM five-bus system and the IEEE 118-bus system are used for numerical studies.The results show when wind GENCOs play as strategic bidders to set the price,they can make significant profit uplifts as opposed to playing as a price taker,because the profit gain will outweigh the cost to cover wind uncertainty and reliability issues.However,this may result in an increase in total production cost and the profit of other units,which means consumers need to pay more.Thus,it is necessary to update the existing market architecture and structure considering these pros and cons in order to maintain a healthy competitive market. | Hao HUANG Fangxing LI | 2015 | Journal of Modern Power Systems and Clean Energy2015，3，1： | 9 |
| 3 | Wind power forecasting based on outlier smooth transition autoregressive GARCH model显示文摘The impacts of outlying shocks on wind power time series are explored by considering the outlier effect in the volatility of wind power time series. A novel short term wind power forecasting method based on outlier smooth transition autoregressive(OSTAR) structure is advanced, then, combined with the generalized autoregressive conditional heteroskedasticity(GARCH) model, the OSTAR-GARCH model is proposed for wind power forecasting. The proposed model is further generalized to be with fat-tail distribution.Consequently, the mechanisms of regimes against different magnitude of shocks are investigated owing to the outlier effect parameters in the proposed models. Furthermore, the outlier effect is depicted by news impact curve(NIC) and a novel proposed regime switching index(RSI). Case studies based on practical data validate the feasibility of the proposed wind power forecasting method. From the forecast performance comparison of the OSTAR-GARCH models, the OSTAR-GARCH model with fat-tail distribution proves to be promising for wind power forecasting. | Hao CHEN Fangxing LI Yurong WANG | 2018 | Journal of Modern Power Systems and Clean Energy2018，6，3： | 8 |
| 4 | Approximating Nash Equilibrium in Day-ahead Electricity Market Bidding with Multi-agent Deep Reinforcement Learning显示文摘In this paper,a day-ahead electricity market bidding problem with multiple strategic generation company(GEN-CO)bidders is studied.The problem is formulated as a Markov game model,where GENCO bidders interact with each other to develop their optimal day-ahead bidding strategies.Considering unobservable information in the problem,a model-free and data-driven approach,known as multi-agent deep deterministic policy gradient(MADDPG),is applied for approximating the Nash equilibrium(NE)in the above Markov game.The MAD-DPG algorithm has the advantage of generalization due to the automatic feature extraction ability of the deep neural networks.The algorithm is tested on an IEEE 30-bus system with three competitive GENCO bidders in both an uncongested case and a congested case.Comparisons with a truthful bidding strategy and state-of-the-art deep reinforcement learning methods including deep Q network and deep deterministic policy gradient(DDPG)demonstrate that the applied MADDPG algorithm can find a superior bidding strategy for all the market participants with increased profit gains.In addition,the comparison with a conventional-model-based method shows that the MADDPG algorithm has higher computational efficiency,which is feasible for real-world applications. | Yan Du Fangxing Li Helia Zandi Yaosuo Xue | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，3： | 3 |
| 5 | A Hybrid Dynamic Demand Control Strategy for Power System Frequency Regulation显示文摘The rapid increase in renewable energy integration brings with it a series of uncertainty to the transmission and distribution systems.In general,large-scale wind and solar power integration always cause short-term mismatch between generation and load demand because of their intermittent nature.The traditional way of dealing with this problem is to increase the spinning reserve,which is quite costly.In recent years,it has been proposed that part of the load can be controlled dynamically for frequency regulation with little impact on customers’living comfort.This paper proposes a hybrid dynamic demand control(DDC)strategy for the primary and secondary frequency regulation.In particular,the loads can not only arrest the sudden frequency drop,but also bring the frequency closer to the nominal value.With the proposed control strategy,the demand side can provide a fast and smooth frequency regulation service,thereby replacing some generation reserve to achieve a lower expense. | Qingxin Shi Hantao Cui Fangxing Li Yilu Liu Wenyun Ju Yonghui Sun | 2017 | CSEE Journal of Power and Energy Systems2017，3，2： | 3 |
| 6 | Robust Segmentation Method for Noisy Images Based on an Unsupervised Denosing Filter显示文摘Level-set-based image segmentation has been widely used in unsupervised segmentation tasks.Researchers have recently alleviated the influence of image noise on segmentation results by introducing global or local statistics into existing models.Most existing methods are based on the assumption that the distribution of image noise is known or observable.However,real-time images do not meet this assumption.To bridge this gap,we propose a novel level-set-based segmentation method with an unsupervised denoising mechanism.First,a denoising filter is acquired under the unsupervised learning paradigm.Second,the denoising filter is integrated into the level-set framework to separate noise from the noisy image input.Finally,the level-set energy function is minimized to acquire segmentation contours.Extensive experiments demonstrate the robustness and effectiveness of the proposed method when applied to noisy images. | Ling Zhang Jianchao Liu Fangxing Shang Gang Li Juming Zhao Yueqin Zhang | 2021 | Tsinghua Science and Technology2021，26，5： | 2 |
| 7 | Graph Computing Based Distributed Parallel Power Flow for AC/DC Systems with Improved Initial Estimate显示文摘The sequential method is easy to integrate with existing large-scale alternating current(AC)power flow solvers and is therefore a common approach for solving the power flow of AC/direct current(DC)hybrid systems.In this paper,a highperformance graph computing based distributed parallel implementation of the sequential method with an improved initial estimate approach for hybrid AC/DC systems is developed.The proposed approach is capable of speeding up the entire computation process without compromising the accuracy of result.First,the AC/DC network is intuitively represented by a graph and stored in a graph database(GDB)to expedite data processing.Considering the interconnection of AC grids via high-voltage direct current(HVDC)links,the network is subsequently partitioned into independent areas which are naturally fit for distributed power flow analysis.For each area,the fast-decoupled power flow(FDPF)is employed with node-based parallel computing(NPC)and hierarchical parallel computing(HPC)to quickly identify system states.Furthermore,to reduce the alternate iterations in the sequential method,a new decoupled approach is utilized to achieve a good initial estimate for the Newton-Raphson method.With the improved initial estimate,the sequential method can converge in fewer iterations.Consequently,the proposed approach allows for significant reduction in computing time and is able to meet the requirement of the real-time analysis platform for power system.The performance is verified on standard IEEE 300-bus system,extended large-scale systems,and a practical 11119-bus system in China. | Wei Feng Chen Yuan Qingxin Shi Renchang Dai Guangyi Liu Zhiwei Wang Fangxing Li | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，2： | 2 |
| 8 | Consumer Psychology Based Optimal Portfolio Design for Demand Response Aggregators显示文摘Demand response(DR)has received much attention for its ability to balance the changing power supply and demand with flexibility.DR aggregators play an important role in aggregating flexible loads that are too small to participate in electricity markets.In this work,a DR operation framework is presented to enable local management of customers to participate in electricity market.A novel optimization model is proposed for the DR aggregator with multiple objectives.On one hand,it attempts to obtain the optimal design of different DR contracts as well as the portfolio management so that the DR aggregator can maximize its profit.On the other hand,the customers’welfare should be maximized to incentivize users to enroll in DR programs which ensure the effective and flexible load control.The consumer psychology is introduced to model the consumers’behavior during contract signing.Several simulation studies are performed to demonstrate the feasibility of the proposed model.The results illustrate that the proposed model can ensure the profit of the DR aggregator whereas the customers’welfare is considered. | Yunwei Shen Yang Li Qiwei Zhang Fangxing Li Zhe Wang | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，2： | 2 |
| 9 | DCOPF-based LMP simulation: algorithm, comparison with ACOPF, and sensitivity显示文摘 | Li Fangxing Bo Rui | 2007 | IEEE Transactions on Power Systems2007，22，4： | 1 |
| 10 | Polychlorinated dibenzo-p-dioxin and dibenzofurans ( PCDD/Fs ), polybrominated diphenyl ethers (PBDEs) , and polychlorinated biphenyls (PCBs) monitored by tree bark in an e-waste recycling area 显示文摘 | WEN Sheng YANG Fangxing LI Jingguang | 2009 | Chemusphere2009，74，7： | 1 |
| 11 | Study on the Synthesis of High Elongation Polyurthane显示文摘 | Ju Zuo Limei Dong | 1998 | Eur Polym1998，34，1： | 1 |
| 12 | A probability-driven multilayer framework for scheduling intermittent renewable energy显示文摘 | Li Fangxing Wei Yanli | 2012 | IEEE Transactions on Sustainable Energy2012，3，3： | 1 |
| 13 | Review of reactive power planning: objectives, constraints, and algorithms 显示文摘 | ZHANG Wenjuan LI Fangxing TOLBERT L M | 2007 | IEEE Trans on Power Systems2007，22，4： | 1 |
| 14 | DCOPF-based LMP simulation: algorithm, comparison with ACOPF, and sensitivity 显示文摘 | Fangxing Li Rui Bo | 2007 | IEEE Trans on Power Syst2007，22，4： | 1 |
| 15 | Total supply capability (TSC) and associated indices for distribution planning: definition, model, calculation and applications显示文摘 | XIAO Jun LI Fangxing GU Wenzhuo | 2011 | IET Generation Transmission and Distribution2011，5，8： | 1 |
| 16 | Software framework concepts for power distribution system analysis显示文摘 | LI Fangxing BROADWATER R P | 2004 | IEEETransactions on Power Systems2004，19，2： | 1 |
| 17 | Total supply capability and its extended indices for distribution systems: definition, model calculation and applications显示文摘 | Xiao Jun Li Fangxing Gu Wenzhuo | 2011 | lET Generation Transmission & Distribution2011，5，8： | 1 |
| 18 | Probabilistic LMP forecasting considering load uncertainty 显示文摘 | BO Rui LI Fangxing | 2009 | IEEE Transactions on Power Systems2009，24，3： | 1 |
| 19 | The scanning tunneling microscopy and spectroscopy of GaSb_(1-x)Bi_(x) films of a few-nanometer thickness grown by molecular beam epitaxy显示文摘The ultrahigh vacuum scanning tunneling microscope(STM)was used to characterize the GaSb_(1-x)Bi_(x) films of a few nanometers thickness grown by the molecular beam epitaxy(MBE)on the GaSb buffer layer of 100 nm with the GaSb(100)substrates.The thickness of the GaSb_(1-x)Bi_(x) layers of the samples are 5 and 10 nm,respectively.For comparison,the GaSb buffer was also characterized and its STM image displays terraces whose surfaces are basically atomically flat and their roughness is generally less than 1 monolayer(ML).The surface of 5 nm GaSb_(1-x)Bi_(x) film reserves the same terraced morphology as the buffer layer.In contrast,the morphology of the 10 nm GaSb_(1-x)Bi_(x) film changes to the mound-like island structures with a height of a few MLs.The result implies the growth mode transition from the two-dimensional mode as displayed by the 5 nm film to the Stranski-Krastinov mode as displayed by the 10 nm film.The statistical analysis with the scanning tunneling spectroscopy(STS)measurements indicates that both the incorporation and the inhomogeneity of Bi atoms increase with the thickness of the GaSb_(1-x)Bi_(x) layer. | Fangxing Zha Qiuying Zhang Haoguang Dai Xiaolei Zhang Li Yue Shumin Wang Jun Shao | 2021 | Journal of Semiconductors2021，42，9： | 1 |
| 20 | Next-generation monitoring, analysis, and control for the future smart control centre显示文摘 | Zhang Pei Li Fangxing Bhatt N | 2010 | IEEE Transactions on Smart Grid2010，1，2： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员