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| 1 | 关于低频低压切负荷决策优化协调的评述显示文摘从低频/低压切负荷优化问题的要素和研究内容出发,评述该时变非线性的时—空—物综合的风险优化问题的特点、求解技术、现状,并展望其发展方向。涉及的要素包括目标函数、约束、故障集、控制方式、控制地点、控制时间、搜索策略。传统的基于单机单负荷模型的低频切负荷和低压切负荷的整定方法不能满足现代电力系统的要求,提出基于轨迹量化分析和风险控制的发展方向,用安全裕度对控制措施的性价比来指导搜索、迭代优化。在此基础上研究切负荷控制的机理,实现低频与低压、前馈与反馈、暂态与中长期切负荷的综合协调。 | 薛禹胜 任先成 Q.H.WU 韦化 | 2009 | 电力系统自动化2009，33，9： | 35 |
| 2 | 低频低压切负荷布点及轮次的优化与协调显示文摘低频切负荷和低压切负荷的协调优化是离散变量(地点和轮次)和连续变量(各轮的控制量)的混合优化问题。它具有高维时变非线性微分代数方程组的稳定性约束,包括功角有界稳定性和振荡阻尼及代数变量的偏离量,并考虑多工况、多场景、多控制点、多轮次。将其解耦为4个子问题:按控制点的贡献度动态排序优化布点;从有效控制母线数最少和故障严重程度最小的故障开始,逐个故障确定切负荷点和切负荷量,并将已有整定结果作为场景,对余下母线的贡献度动态排序,迭代优化首轮初值;以多工况下各故障的欠切风险和过切风险代价之和最小为目标,按替代前一轮的机会性价比将各控制母线动态排序,确定后续轮的控制量;按解耦优化-迭代协调方式协调低频切负荷和低压切负荷。通过实际系统的算例验证了算法的有效性。 | 任先成 薛禹胜 Q.H.WU 韦化 | 2009 | 电力系统自动化2009，33，11： | 20 |
| 3 | 关于紧急控制与校正控制优化和协调的评述显示文摘闭环离散控制是电力系统在大扰动后保持运行可靠性的主要手段,包括以故障驱动的紧急控制及由受扰轨迹驱动的校正控制。比较这2种方式的控制准则、动作时机、控制精度及代价,以及切机、切负荷和解列措施。若用紧急控制来应对小概率高风险的不确定因素,则在大多情况下将发生过控;若用校正控制来应对概率大的不确定因素,则机会成本很高。强调基于风险概念来协调这2种在物理和经济特性上都互补的控制方式,并提出解耦优化—聚合协调的求解方法。 | 薛禹胜 王达 Q.H.WU 文福拴 | 2009 | 电力系统自动化2009，33，12： | 19 |
| 4 | 电力市场与电力系统交互动态仿真设计显示文摘分析了电力交易市场、投资市场与电力系统的功能关系及其数学描述。借鉴实验经济学方法,将电力市场中能用数学模型表达的环节表达为数学模型,而将参与者的主观行为、市场规则、市场监管行为作为数学模型的输入,在实验环境中动态地交互。定义失稳风险,将输电动态阻塞对交易的物理制约转化为经济上各交易应承担的输电风险。在此基础上,建立电力市场动态过程的仿真器平台,实现电力市场与电力系统动态仿真,并采用市场调节的预交易阻塞管理模式实现电力系统技术问题与电力市场经济问题的协调。 | 薛禹胜 彭慧敏 Q.H.WU | 2006 | 电力系统自动化2006，30，23： | 18 |
| 5 | 电力系统受扰轨迹的差异度及其在参数识别中的应用显示文摘受扰轨迹完整地反映了模型及参数对系统动态行为的影响。基于稳定性机理,提出电力系统受扰轨迹的机理差异度。该指标值随动态行为差异的增大而增加;当且仅当该指标值为0时,2组受扰轨迹完全重合。据此,可量化不同动态行为的接近程度,用以校核模型,并通过灵敏度分析来识别参数。通过仿真,验证了该指标的有效性,揭示出多参数识别问题中普遍存在的本质多解现象,其解依赖于初值和迭代策略。强调必须以不同扰动作为激励,分别识别参数,并指出系统识别的困难大大超出现有的认识。 | 郝丽丽 薛禹胜 Zhaoyang DONG Q.H.WU 徐泰山 | 2010 | 电力系统自动化2010，34，11： | 12 |
| 6 | 故障驱动切负荷和轨迹驱动切负荷的协调优化显示文摘切负荷(LS)控制既可由故障驱动(即紧急LS),也可由轨迹驱动(即校正LS),大量不确定因素突出了它们之间协调的重要性。按照解耦优化-聚合协调的框架,用稳定性量化软件FASTEST分析不确定因素下的稳定性,分别优化故障驱动的LS及轨迹驱动的LS,在优化其中之一时,将另一个最新迭代结果作为仿真的外部场景,迭代到预想故障集的风险总代价不再明显减小为止。考虑某实际系统的预想故障、负荷模型和负荷水平等不确定因素,仿真证实该协调优化方法在保证系统稳定性的前提下,显著减少了控制的风险。 | 王达 薛禹胜 Q.H.WU 徐泰山 | 2009 | 电力系统自动化2009，33，13： | 9 |
| 7 | DNA序列数据压缩技术综述显示文摘DNA序列数据压缩技术是根据DNA数据特点针对性地构造编码算法,以提升整体压缩效率的数据处理方法.本文介绍了DNA序列的基本概念及数据特点,DNA序列压缩算法的一般性描述,DNA序列的典型压缩算法,以及评估DNA序列压缩算法性能的重要指标,并对DNA序列压缩算法未来的发展趋势做了展望. | 纪震 周家锐 姜来 Q.H.Wu | 2010 | 电子学报2010，38，5： | 8 |
| 8 | 通过风险分摊与迭代报价协调预防控制与紧急控制显示文摘为在电力市场环境下管理动态阻塞风险,提出风险分摊的预交易迭代模式。针对电力市场预出清所得的工况,用故障概率与紧急控制代价的乘积来定义失稳风险。以该风险值最小为目标,搜索最优紧急控制。将得到的最小风险值在失稳机群中按发电功率分摊,并实时公布以引导竞争者计及自己的风险成本重新报价。迭代后得到统一出清购电费与失稳风险之和最小的决策。此时的出清结果(反映了电力系统的预防控制)与电力系统紧急控制达到最优协调。该模式可以公开、公平、公正地引导参与者降低动态阻塞风险。通过市场竞争与系统分析之间的动态交互仿真,分析影响输电动态阻塞风险的因素,研究物理领域中的电力系统稳定控制与经济领域中的市场交易阻塞管理之间的影响机理。 | 李天然 薛禹胜 Q.H.WU 谢东亮 彭慧敏 薛峰 | 2010 | 电力系统自动化2010，34，22： | 7 |
| 9 | Optimal Operation of Integrated Energy Systems Subject to Coupled Demand Constraints of Electricity and Natural Gas显示文摘This paper proposes a hybrid multi-objective optimization and game-theoretic approach(HMOGTA)to achieve the optimal operation of integrated energy systems(IESs)consisting of electricity and natural gas(E&G)utility networks,multiple distributed energy stations(DESs),and multiple energy users(EUs).The HMOGTA aims to solve the coordinated operation strategy of the electricity and natural gas networks considering the demand characteristics of DESs and EUs.In the HMOGTA,a hierarchical Stackelberg game model is developed for generating equilibrium strategies of DESs and EUs in each district energy network(DEN).Based on the game results,we obtain the coupling demand constraints of electricity and natural gas(CDCENs)which reflect the relationship between the amounts and prices of electricity and cooling(E&C)that DESs purchase from utility networks.Furthermore,the minimization of conflicting costs of E&G networks considering the CDCENs are solved by a multi-objective optimization method.A case study is conducted on a test IES composed of a 20-node natural gas network,a modified IEEE 30-bus system,and 3 DENs,which verifies the effectiveness of the proposed HMOGTA to realize fair treatment for all participants in the IES. | Yingjie Qin Lilan Wu Jiehui Zheng Mengshi Li Zhaoxia Jing Q.H.Wu Xiaoxin Zhou Feng Wei | 2020 | CSEE Journal of Power and Energy Systems2020，6，2： | 7 |
| 10 | Multi-mapping Fault Diagnosis of High Voltage Circuit Breaker Based on Mathematical Morphology and Wavelet Entropy显示文摘Mechanical faults of high voltage circuit breakers(CBs)seriously affect the reliability of their operation,which may cause severe damage to power systems.In order to monitor operational conditions and detect mechanical faults of CBs,a multi-parameter monitoring system is designed and a fault diagnosis method based on multi-mapping is proposed.The paper focuses on the trip/close circuits,the spring-charging mechanism and the transmission mechanism,and obtains four current signals and a vibration signal that can reflect CB conditions.For the current signals,a morphological filter is used to remove noise and then characteristics of the waveforms’shape information are extracted.For vibration signals,the wavelet packet transform is used to decompose the signal into various frequency bands,and the sample entropy of the low frequency bands and the wavelet energy of the high frequency bands are calculated,respectively.Based on these feature parameters,a multi-mapping strategy is proposed for CB fault diagnosis.Laboratory experiments have been conducted to obtain on-site signals under various conditions,and experiment results have verified that monitoring the aforementioned signals and using the corresponding feature extraction and fault diagnosis methods,the mechanical faults of high voltage CBs can be effectively diagnosed. | Tianyao Ji Lin Yi Wenhu Tang Mengjie Shi Q.H.Wu | 2019 | CSEE Journal of Power and Energy Systems2019，5，1： | 5 |
| 11 | On the State-dependent Switched Energy Functions of DFIG-based Wind Power Generation Systems显示文摘This paper proposes a novel state-dependent switched energy function(SdSEF)for general nonlinear autonomous systems,and constructs an SdSEF for doubly-fed induction generator(DFIG)-based wind power generation systems(WPGSs).Different from the conventional energy function,SdSEF is a piece-wise continuous function,and it satisfies the conditions of conventional energy functions on each of its continuous segments.SdSEF is designed to bridge the gap between the well-developed energy function theory and the description of system energy of complex nonlinear systems,such as power electronics converter systems.The stability criterion of nonlinear autonomous systems is investigated with SdSEF,and mathematical proof is presented.The SdSEF of a typical DFIGbased WPGS is simulated in the whole processes of a grid fault and fault recovery.Simulation results verify the negativeness of the derivative of each continuous segment of the SdSEF. | Yang Liu Zehui Lin Kaishun Xiahou Mengshi Li Q.H.Wu | 2020 | CSEE Journal of Power and Energy Systems2020，6，2： | 4 |
| 12 | Ultra-short Term Wind Speed Prediction Using Mathematical Morphology Decomposition and Long Short-term Memory显示文摘This paper proposes a new model,which consists of a mathematical morphology(MM)decomposer and two long short term memory(LSTM)networks,to perform ultra-short term wind speed forecast.The MM decomposer is developed in order to improve the forecast accuracy,which separates the wind speed into two parts:a stationary long-term baseline and a nonstationary short-term residue.Afterwards,two LSTM networks are implemented to forecast the baseline and residue,respectively.Besides,this paper makes an integrated forecast that takes into account multiple climate factors,such as temperature and air pressure.The baseline,temperature and air pressure are used as the inputs of baseline network for training and prediction,and the baseline,residue,temperature and air pressure are used as the inputs of residue network for training and prediction.The performance of the proposed model has been validated using data collected from the Australian Meteorological Station,which is compared with least squares-support vector machine(LS-SVM),back-propagation artificial neural network(BPNN),LSTM,MM-LS-SVM,and MM-BPNN.The results demonstrate that the proposed model is more suitable to solve non-stationary time-series forecast,and achieves higher accuracy than the other models under various conditions. | Mengshi Li Zhiyuan Zhang Tianyao Ji Q.H.Wu | 2020 | CSEE Journal of Power and Energy Systems2020，6，4： | 3 |
| 13 | Real-time Dispatchable Region of Renewable Generation Constrained by Reactive Power and Voltage Profiles in AC Power Networks显示文摘A large amount of renewable energy generation(REG)has been integrated into power systems,challenging the operational security of power networks.In a real-time dispatch,system operators need to estimate the ability of the power network to accommodate REG with a limited reserve capacity.The real-time dispatchable region(RTDR)is defined as the largest range of a power injection that the power network can accommodate in a certain dispatch interval for a given dispatch base point.State-of-the-art research on the RTDR adopts a DC power flow model regardless of the voltage profiles and reactive power,which can overlook potentially insecure operational states of the system.To address this issue,this paper proposes an AC power flow based RTDR model simultaneously considering the reactive power and voltage profiles constraints.The nonlinear constraints in our model are approximated using a linear power flow model together with a polytope approximation technique for quadratic constraints.An adaptive constraint generation algorithm is used to calculate the RTDR.Simulation results using the IEEE 5-bus and 30-bus systems illustrate the advantages of the proposed model. | Yanqi Liu Zhigang Li Q.H.Wu Haibo Zhang | 2020 | CSEE Journal of Power and Energy Systems2020，6，3： | 3 |
| 14 | Reserve Constrained Dynamic Economic Dispatch with Valve-point Effect:A Two-stage Mixed Integer Linear Programming Approach显示文摘This paper proposes a deterministic two-stage mixed integer linear programming(TSMILP)approach to solve the reserve constrained dynamic economic dispatch(DED)problem considering valve-point effect(VPE).In stage one,the nonsmooth cost function and the transmission loss are piecewise linearized and consequently the DED problem is formulated as a mixed integer linear programming(MILP)problem,which can be solved by commercial solvers.In stage two,based on the solution obtained in stage one,a range compression technique is proposed to make a further exploitation in the subspace of the whole solution domain.Due to the linear approximation of the transmission loss,the solution obtained in stage two dose not strictly satisfies the power balance constraint.Hence,a forward procedure is employed to eliminate the error.The simulation results on four test systems show that TSMILP makes satisfactory performances,in comparison with the existing methods. | Zhaolong Wu Jianying Ding Q.H.Wu Zhaoxia Jing Jiehui Zheng | 2017 | CSEE Journal of Power and Energy Systems2017，3，2： | 3 |
| 15 | Fault Location in Distribution System Using Convolutional Neural Network Based on Domain Transformation显示文摘Distribution lines are integral parts of the modern power system,which can affect the security and stability of power supply directly.An effective power system protection scheme should be able to detect all occurring faults as soon as possible.There are two tasks in fault diagnosis.One is the fault classification,where high accuracy rates have already achieved.Thus,this paper focuses on the other task,i.e.fault location.Enlightened by Fourier transform,this paper proposes an online data-driven method,which transforms signals from time domain to image domain through signal-to-image(SIG)algorithm and then process the transformed images with framework based on convolutional neural network(CNN).On the one hand,we can extract more crucial characteristic and information from image domain.On the other hand,the CNN-based structure is much smaller than others.It needs less memory space and would be easier to be transplanted to hardware platform.Moreover,the proposed algorithm does not require synchronous devices.The numerical comparison shows that the proposed SIG-CNN fault location model achieves robust and accurate results compared with other data-driven algorithms. | Yang Yu Mengshi Li Tianyao Ji Q.H.Wu | 2021 | CSEE Journal of Power and Energy Systems2021，7，3： | 2 |
| 16 | Application of Morphological Max-Lifting Scheme for Identification of Induction Motor Stator Inter-turn Short Circuit显示文摘The harmonic components of stator winding current in induction motor will change under the condition of stator inter-turn short circuit.According to these characteristics,in this paper,a novel technique based on morphological maxlifting scheme is proposed for identification of induction motor stator inter-turn short circuit.A max-lifting scheme is applied to process stator winding currents to extract these characteristics.An indicator,r,is computed to identify the short circuit.The transient model of induction motor is employed to simulate oneturn to six-turn stator inter-turn short circuits in an induction motor.Extensive simulation work has been conducted under normal conditions,abnormal conditions(voltage imbalance and varying load),stator inter-turn short circuit conditions,and conditions of any combinations of the above.The results have shown that the scheme proposed in this paper has a high identification rate for induction motor stator inter-turn short circuit. | Yin Zhang Tianyao Ji Mengshi Li Q.H.Wu | 2015 | CSEE Journal of Power and Energy Systems2015，1，4： | 2 |
| 17 | 异步电动机动态模型参数识别显示文摘本文应用遗传算法 ( GAs)来解决异步电动机动态数学模型参数识别的问题。本文详细给出了遗传算法应用于动态数学模型参数识别问题的一般步骤 ,利用异步电动机直接空载起动特性对异步电动机动态数学模型参数进行了识别 。 | 黄开胜 Q.H.Wu | 2000 | 中小型电机2000，27，4： | 2 |
| 18 | Lorenz吸引子的微观结构显示文摘轨迹保稳降维是一种分析高维非线性系统稳定性的方法。其要点是先在高维空问中求取轨迹;再将F轨迹映射为n-1个R^2映像,并在变换中严格保持感兴趣的稳定特性:分析各映像轨迹的稳定性:最后聚合为原轨迹特性的描述。本文按此分析Lorenz吸引子的结构稳定性。例如,将其中的z变量处理为时变参量后,(x,y)子系统成为时变的线性2维系统,可得分岔集{zcr}及奇点特性沿z轴的变化规律。故对于特定的轨迹(x,y,z),可将其在各坐标平面上的投影轨迹分成短线段的有序队列,各相邻线段对应于特性不同的奇点,从而揭示Lorenz吸引子全局分岔的精细结构及其通往高维混沌的道路。 | 薛禹胜 Q.H.Wu 周海强 檀斌 K.W.Lau | 2003 | 非线性动力学学报2003，10，1： | 1 |
| 19 | Robust Bang-Bang Control of Disturbed Nonlinear Systems Based on Nonlinear Observers显示文摘This paper proposes a robust bang-bang controller(RBC)based on the high-gain nonlinear observer for a nonlinear system with intermittent disturbances.The intermittent distur-bances are able to model the system faults and sudden changes of operating conditions of practical nonlinear systems.A bang-bang constant funnel controller(BCFC)is employed,and the largest control capabilities of the control system is explored to stabi-lize the nonlinear system against the disturbances.The BCFC functions with the estimates of tracking error of control target and its derivatives estimated with a high-gain state observer,which eliminates the requirement on the derivative calculations of the system output tracking error.The error convergence of the observer is verified.The closed-loop stability of the RBC is proved in a bounded-input bounded-state sense.Simulation studies are undertaken with a single-machine infinite-bus(SMIB)power system to test the performance of the RBC. | Yang Liu Kaishun Xiahou Q.H.Wu Hui Pang Guangfu Tang | 2020 | CSEE Journal of Power and Energy Systems2020，6，1： | 1 |
| 20 | 基于智能单粒子的联合代数重建算法显示文摘提出一种基于智能单粒子(intelligent particle optimizer,IPO)的改进型联合代数重建算法(simultaneous algebraic reconstruction technique,SART).为提高重建图像质量,引入松弛矩阵概念,利用智能单粒子算法搜索每一像素特有的最优松弛因子,增强重建算法对图像局部特性的针对性.仿真结果表明,采用IPO-SART算法获得的重建图像质量较传统SART算法更佳. | 储颖 糜华 纪震 Q.H.WU | 2009 | 深圳大学学报(理工版)2009，26，2： | 1 |
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