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| 1 | A preventive control strategy for static voltage stability based on an efficient power plant model of electric vehicles显示文摘With the increasing integration of wind farms and electric vehicles(EVs)in power systems,voltage stability is becoming more and more serious.Based on vehicle-to-grid(V2G),an efficient power plant model of EVs(E-EPP)was developed to estimate EV charging load with available corresponding response capacity under different charging strategies.A preventive control strategy based on E-EPP was proposed to maintain the static voltage stability margin(VSM)of power system above a predefined security level.Two control modes were used including the disconnection of EV charging load(‘V1G’mode)and the discharge of stored battery energy back to power grid(‘V2G’mode).A modified IEEE 14-bus system with high penetration of wind power and EVs was used to verify the effectiveness of preventive control strategy.Simulation results showed that the proposed strategy can not only improve the static voltage stability of power system with considerable wind generation,but also guarantee the travelling comfort for EV owners. | Mingshen WANG Yunfei MU Hongjie JIA Jianzhong WU Xiuping YAO Xiaodan YU Janaka EKANAYAKE | 2015 | Journal of Modern Power Systems and Clean Energy2015，3，1： | 25 |
| 2 | Frequency response of autonomous microgrid based on family-friendly controllable loads显示文摘Frequency is a key issue for the stable operation of autonomous microgrid(AMG) with a large penetration of intermittent renewable energy resources.The fast development of demand-side response technology provides a new solution for the frequency control of the AMG.In this paper,a novel decentralized demand control strategy(DDC) for family-friendly controllable refrigerators considering customer comfort level is proposed to regulate the frequency of AMG in coordination with the energy storage system(ESS).The refrigerator under DDC responds to the local frequency signals quickly and adjusts its operation cycle dynamically.Meanwhile,a customer participation degree which is proportional to the frequency deviation is introduced to evaluate the customer comforts when responding to the frequency of AMG.Finally,a benchmark low voltage AMG is established as a test system to verify the effectiveness of the proposed DDC strategy.Simulation results show that the DDC strategy can not only improve the frequency control effect of AMG effectively but also guarantee the customer comforts as well as reduce the capacity of ESS. | JIA HongJie QI Yan MU YunFei | 2013 | Chinese Science Bulletin2013，58，7： | 21 |
| 3 | An approach to determining the local boundaries of voltage stability region with wind farms in power injection space显示文摘A new approach to determining the local boundaries of voltage stability region in power injection space (IVSR) for power system with wind farms is presented. It can be used for power system voltage stability analysis and on-line security assessment with considering the output uncertainty of the wind farms. Firstly, power flow tracing and double dispatching are used to determine the generators that are closely related to the wind farms, in order to balance the power fluctuations caused by the wind speed variation. Then, modal analysis is used to get the key generators to achieve an effective dimension reduction for IVSR. Finally, the forecasting output power (or wind speed) of wind farms is divided into several intervals. For each interval, the corresponding local IVSR boundaries can be calculated by the method based on small disturbance. Moreover, parallel process is used to accelerate the computing speed. The presented approach is validated by several power systems. It can be revealed that the approach can give the local IVSR boundaries at different wind speeds and has a good engineering application prospect. | MU YunFei & JIA HongJie Key Laboratory of Power System Simulation and Control of Ministry of Education, Tianjin University, Tianjin 300072, China | 2010 | Science China(Technological Sciences)2010，53，12： | 13 |
| 4 | Dynamic frequency response from electric vehicles in the Great Britain power system显示文摘With the large penetration of renewable energy,fulfilling the balance between electricity demand and supply is a challenge to the modern power system.According to the UK government,the wind power penetration will reach 30%by the year 2020.The role of electric vehicles(EVs)contributing to frequency response was investigated.A dynamic frequency control strategy which considers the comfort level of vehicle owners was developed for EVs to regulate their power consumption according to the deviation of system frequency.A simulation model of a population of EVs equipped with such controlwas implemented inMatlab/Simulink platform.In this paper,a simplified Great Britain power system model is used to study the contribution of EVs to dynamic frequency control.The case study showed that using EVs as a demand response resource can greatly reduce the frequency deviations.And the rapid response from EVs can help reduce the operation cost of conventional generators. | Jian MENG Yunfei MU Jianzhong WU Hongjie JIA Qian DAI Xiaodan YU | 2015 | Journal of Modern Power Systems and Clean Energy2015，3，2： | 8 |
| 5 | Load curve smoothing strategy based on unified state model of different demand side resources显示文摘Renewable energy based distributed generation(DG) has the potential to reach high penetration levels in the residential region. However, its integration at the demand side will cause rapid power fluctuations of the tieline in the residential region. The traditional generators are generally difficult to manage rapid power fluctuations due to their insufficient efficiency requirements and low responding speed. With an effective control strategy, the demand side resources(DSRs) including DGs, electric vehicles and thermostatically-controlled loads at thedemand side, are able to serve as the energy storage system to smooth the load fluctuations. However, it is a challenge to properly model different types of DSRs. To solve this problem, a unified state model is first developed to describe the characteristics of different DSRs. Then a load curve smoothing strategy is proposed to offset the load fluctuations of the tie-line of the residential region, where a control matrix deduced from the unified state model is introduced to manage the power outputs of different DSRs,considering the response order and the comfort levels.Finally, a residential region with households is used to validate the load curve smoothing strategy based on the unified state model, and the results show that the power fluctuation rate of the tie-line is significantly decreased.Meanwhile, comparative study results are shown to demonstrate the advantages of the unified state model based load curve smoothing strategy. | Mingshen WANG Yunfei MU Tao JIANG Hongjie JIA Xue LI Kai HOU Tong WANG | 2018 | Journal of Modern Power Systems and Clean Energy2018，6，3： | 8 |
| 6 | Maximum entropy based probabilistic load flow calculation for power system integrated with wind power generation显示文摘Distributed generation including wind turbine(WT) and photovoltaic panel increases very fast in recent years around the world, challenging the conventional way of probabilistic load flow(PLF) calculation. Reliable and efficient PLF method is required to take this chage into account.This paper studies the maximum entropy probabilistic density function reconstruction method based on cumulant arithmetic of linearized load flow formulation,and then develops a maximum entropy based PLF(MEPLF) calculation algorithm for power system integrated with wind power generation(WPG). Compared with traditional Gram–Charlier expansion based PLF(GC-PLF)calculation method, the proposed ME-PLF calculation algorithm can obtain more reliable and accurate probabilistic density functions(PDFs) of bus voltages and branch flows in various WT parameter scenarios. It can solve thelimitation of GC-PLF calculation method that mistakenly gains negative values in tail regions of PDFs. Linear dependence between active and reactive power injections of WPG can also be effectively considered by the modified cumulant calculation framework. Accuracy and efficiency of the proposed approach are validated with some test systems. Uncertainties yielded by the wind speed variations, WT locations, power factor fluctuations are considered. | Bingyan SUI Kai HOU Hongjie JIA Yunfei MU Xiaodan YU | 2018 | Journal of Modern Power Systems and Clean Energy2018，6，5： | 8 |
| 7 | An Economic Benefit Evaluation Model and its Application for Optimizing Transmission Capacity of Multinational Interconnections显示文摘Multinational power grid interconnections play a critical part in supporting the vision of global energy internet.During the early stages of the Global Energy Internet,the value proposition of multinational interconnections should be carefully investigated in order to stimulate the activities for associated countries in such potential interconnections.This paper proposes a new e conomic benefit evaluation model which is quantified by using a chronological production cost simulation approach.The economic benefit model comprehensively considered investment costs and the benefits of the decrease of load payments and the increase of net generation revenue due to a transmission project interconnected with different countries.This economic benefit model can assist to quantitatively determine the optimal transmission capacity for multinational interconnections to achieve maximum economic benefits as a whole.In the case study,the economic benefit of an interconnected system of western China and the Gulf States is assessed by using the method proposed in this paper.And the optimal interconnection capacity with maximum benefit is achieved.The case study shows that the proposed method can be used for economic benefit assessment and is of great significance to the multinational and intercontinental transmission interconnections. | Xiaojun Wang Ruimin Jiang Pei Zhang Yunfei Mu Maosheng Ding | 2018 | CSEE Journal of Power and Energy Systems2018，4，4： | 2 |
| 8 | Multi-objective microgrid optimal dispatching based on improved bird swarm algorithm显示文摘Multi-objective optimal dispatching schemes with intelligent algorithms are recognized as effective measures to promote the economics and environmental friendliness of microgrid applications.However,the low accuracy and poor convergence of these algorithms have been challenging for system operators.The bird swarm algorithm(BSA),a new bio-heuristic cluster intelligent algorithm,can potentially address these challenges;however,its computational iterative process may fall into a local optimum and result in premature convergence when optimizing small portions of multi-extremum functions.To analyze the impact of a multi-objective economic-environmental dispatching of a microgrid and overcome the aforementioned problems of the BSA,a self-adaptive levy flight strategy-based BSA(LF-BSA)was proposed.It can solve the dispatching problems of microgrid and enhance its dispatching convergence accuracy,stability,and speed,thereby improving its optimization performance.Six typical test functions were used to compare the LF-BSA with three commonly accepted algorithms to verify its excellence.Finally,a typical summer-time daily microgrid scenario under grid-connected operational conditions was simulated.The results proved the feasibility of the proposed LF-BSA,effectiveness of the multi-objective optimization,and necessity of using renewable energy and energy storage in microgrid dispatching optimization. | Xiaoyan Ma Yunfei Mu Yu Zhang Chenxi Zang Shurong Li Xinyang Jiang Meng Cui | 2022 | Global Energy Interconnection2022，5，2： | 2 |
| 9 | Primary frequency response from electric vehicles in the Great Britain power system显示文摘 | MU Yunfei WU Jianzhong EK AN A Y AKE J | 2013 | IEEE Trans on Smart Grid2013，4，2： | 1 |
| 10 | A novel reconfiguration strategy for active distribution network considering maximum power supply capability 显示文摘 | LIANG Wei JIN Xiaolong MU Yunfei | 2014 | Applied Mechanics and Materials2014，448，： | 1 |
| 11 | A spatial- Temporal model for grid impact analysis of plug-in elec- tric vehicles显示文摘 | Mu Yunfei Wu Jianzhong Jenkins N | 2014 | Applied Energy2014，114，： | 1 |
| 12 | A novel recon- figuration strategy for active distribution network consid- ering maximum power supply capability显示文摘 | Liang Wei Jin Xiaolong Mu Yunfei | 2014 | Applied Me- chanics and Materials2014，，： | 1 |
| 13 | A statistical model to de- termine the capacity of battery-supercapacitor hybrid en- ergy storage system in autonomous microgrid 显示文摘 | Jia Hongjie Mu Yunfei Qi Yan | 2014 | Interna- tional Journal of Electrical Power & Energy Systems2014，54，： | 1 |
| 14 | Pri- mary frequency response from electric vehicles in the Great Britain power system显示文摘 | Mu Yunfei Wu Jianzhong Ekanayake Janaka | 2013 | IEEE Trans on Smart Grid2013，4，2： | 1 |
| 15 | Primary frequency response from electric vehicles in the great britain power system显示文摘 | Mu Yunfei Wu Jianzhong Ekanayake Janaka | 2013 | IEEE Transactions on Smart Grid2013，4，2： | 1 |
| 16 | Third-order trajectory planning for high accuracy point-topoint motion显示文摘This article studies a third-order trajectory planning method for point-to-point motion.All available instances for third-order trajectory planning are first analyzed.To distinguish those,three criteria are presented relying on trajectory characteristics.Following that,a fast preprocessing approach considering the trajectory as a whole is given based on the criteria constructed and system constraints.Also,the time-optimality of the trajectory is obtained.The relevant formulas are derived with the combination of geometrical symmetry of trajectory and area method.As a result,an accurate algorithm and its implementation procedure are proposed.The experimental results show the effectiveness and precision of the proposed method.The presented algorithm has been applied in semiconductor manufacturing equipment successfully. | Haihua MU Yunfei ZHOU Sijie YAN Aiguo HAN | 2009 | Frontiers of Electrical and Electronic Engineering in China2009，4，1： | 1 |
| 17 | Aspatial-temporal mooel 1or grlo impact anatysis o plug-in electric vehicles 显示文摘 | Yunfei Mu Jianzhong Wu Nick Jenkins | 2014 | Applied Energy2014，，114： | 1 |
| 18 | Optimal dispatch approach for rural multi-energy supply systems considering virtual energy storage显示文摘In response to the underutilization of energy and insufficient flexible operation capability of rural energy supply systems in China,this study proposes an optimal dispatch approach for a rural multi-energy supply system(RMESS)considering virtual energy storage(VES).First,to enable the flexible utilization of rural biomass resources and the thermal inertia of residential building envelopes,this study constructed VES-I and VES-II models that describe electrical-thermal and electrical-gas coupling from an electrical viewpoint.Subsequently,an RMESS model encompassing these two types of VES was formulated.This model delineates the intricate interplay of multi-energy components within the RMESS framework and facilitates the precise assessment of the adjustable potential for optimizing RMESS operations.Based on the above models,a day-ahead optimal dispatch model for an RMESS considering a VES is proposed to achieve optimal economic performance while ensuring efficient energy allocation.Comparative simulations validated the effectiveness of the VES modeling and the day-ahead optimal dispatch approach for the RMESS. | Yanze Xu Yunfei Mu Haijie Qi Hairun Li Peng Yu Shumin Sun | 2023 | Global Energy Interconnection2023，6，6： | 0 |
| 19 | Cooperative Perception Optimization Based on Self-Checking Machine Learning显示文摘In the process of spectrum perception,in order to realize accurate perception of the channel state,the method of multi-node cooperative perception can usually be used.However,the first problem to be considered is how to complete information fusion and obtain more accurate and reliable judgment results based on multi-node perception results.The ideas put forward in this paper are as follows:firstly,the perceived results of each node are obtained on the premise of limiting detection probability and false alarm probability.Then,on the one hand,the weighted fusion criterion of decision-making weight optimization of each node is realized based on a genetic algorithm,and the useless nodes also can be screened out to reduce energy loss;on the other hand,through the linear fitting ability of RBF neural network,the self-inspection of the perceptive nodes can be realized to ensure the normal operation of the perceptive work of each node.What's more,the real-time training data can be obtained by spectral segmentation technology to ensure the real-time accuracy of the optimization results.Finally,the simulation results show that this method can effectively improve the accuracy and stability of channel perception results,optimize the structure of the cooperative network and reduce energy consumption. | Haoxiang Sun Changxing Chen Yunfei Ling Mu Yang | 2020 | Computers, Materials & Continua2020，，2： | 0 |
| 20 | Direct Radiative Effects of Dust Aerosols over Northwest China Revealed by Satellite-Derived Aerosol Three-Dimensional Distribution显示文摘Northwest China is recognized as a main source and a major transport channel of dust aerosols in East Asia.With a fragile ecological environment,this region is quite sensitive to global climate change.Based on the satellite-derived aerosol three-dimensional distribution,the direct radiative effects of dust aerosols over Northwest China are evaluated.Aerosols over Northwest China are mainly distributed in the Tarim Basin,Junggar Basin,Gobi Desert,and Loess Plateau.The aerosol extinction coefficients are greater than 0.36 km-1 over the Tarim Basin and 0.16 km^(-1) over the Gobi Desert and Loess Plateau,decreasing with height.Aerosols over Northwest China are mainly composed of pure dust and polluted dust.These dust aerosols can modify the horizontal temperature gradient,vertical thermodynamic structure,and diurnal temperature range by absorbing and scattering shortwave radiation and emitting longwave radiation.For the column atmosphere,the radiative effect of dust aerosols shows heating effect of approximately 0.3 K day^(-1) during the daytime and cooling effect of approximately-0.4 K day^(-1) at night.In the vertical direction,dust aerosols can heat up the lower atmosphere(0.5–1.5 K day^(-1))and cool down the upper atmosphere(about-1.0 K day^(-1))during the daytime,while they cool down the lower atmosphere(-3 to-1.5 K day^(-1))and heat up the upper atmosphere(1–1.5 K day^(-1))at night.There are also significant lateral and vertical variations in the dust radiative effects corresponding to their spatial distributions.This study provides some scientific basis for reducing uncertainty in the investigation of aerosol radiative effects and provides observation evidence for simulation studies. | Rui JIA Yuzhi LIU Yan LI Jun LI Xiaolin HU Ronglu GAO Yunfei TIAN Yanling SUN Nannan MU Minfen ZHAO | 2022 | Journal of Meteorological Research2022，36，5： | 0 |
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