Yinhong Li

Huazhong University of Science and Technology, Wu-han-shih, Hubei, China

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Publications (19)16.2 Total impact

  • Jia Zhu · Yinhong Li · Xianzhong Duan · Hao Xiao

    No preview · Article · Jan 2016 · IET Generation Transmission & Distribution
  • Dengfeng Liu · Dongyuan Shi · Yinhong Li
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    ABSTRACT: In this paper, a new definition of short-circuit ratio concept for multi-converter HVDC systems is proposed. Analysis results of voltage interaction between converters show that the reactive power-voltage characteristic of a converter has a dominant effect on voltage interaction level compared with its active power-voltage characteristic. Such a relation between converter reactive power and voltage interaction level supports taking the former into account in the definition of short-circuit ratio concept for multi-converter systems. The proposed definition is verified by the method of maximum power curve for various system configurations. Furthermore, a formula to calculate transient overvoltage for multi-converter systems is derived based on the proposed definition, and the efficiency of the derived formula is verified.
    No preview · Article · Sep 2015 · Journal of Electrical Engineering and Technology
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    Sheng Su · Guangyuan Liu · Na Wang · Yinhong Li · Xianzhong Duan
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    ABSTRACT: Wind load is critical to the safety of wind turbines. Wind turbines are designed according to the referrence wind speed of 50-year recurrence interval. The climate change induced variation in extremes of wind could impact safety of wind turbines. Meteorological data from Hengshan weather station in central China is investigated. The wind data of 1973–1992 and 1992–2011 are utilized to estimate the extreme wind of 50-year recurrence interval using method of independent storm and generalized pareto distribution model. It is uncovered that although extreme wind of 50-year recurrence interval escalate a little during the two time spans, it will not affect the safety of wind turbines over there notably.
    Preview · Article · Dec 2014 · Energy Procedia
  • Jian Zuo · Yinhong Li · Defu Cai · Dongyuan Shi
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    ABSTRACT: A novel probabilistic small signal stability analysis (PSSSA) method considering load correlation is proposed in this paper. The superiority Latin hypercube sampling (LHS) technique combined with Monte Carlo simulation (MCS) is utilized to investigate the probabilistic small signal stability of power system in presence of load correlation. LHS helps to reduce the sampling size, meanwhile guarantees the accuracy and robustness of the solutions. The correlation coefficient matrix is adopted to represent the correlations between loads. Simulation results of the two-area, four-machine system prove that the proposed method is an efficient and robust sampling method. Simulation results of the 16-machine, 68-bus test system indicate that load correlation has a significant impact on the probabilistic analysis result of the critical oscillation mode under a certain degree of load uncertainty. © 2014 Korean Institute of Electrical Engineers. All rights reserved.
    No preview · Article · Nov 2014 · Journal of Electrical Engineering and Technology
  • Ming Chen · Dongyuan Shi · Yinhong Li · Lin Zhu · Huanzhang Liu
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    ABSTRACT: In the process of constructing Y-matrix and Z-matrix by traditional method of adding branches, the additional of mutual inductance line is more complex than non-mutual inductance line. A novel algorithm of constructing Y-matrix and Z-matrix based on branches group is put forward in this paper. The algorithm can unify the calculation method of mutual inductance branches and non-mutual inductance branches efficiently. The calculation amount of adding mutual inductance branches is reduced to as same as that of non-mutual inductance branches. Case studies show that the computing method based on the algorithm provided by this paper is simple and unified, reduces the amount of computation and improves the computational efficiency.
    No preview · Conference Paper · Jul 2014
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    ABSTRACT: Shortage of energy resources, rising power generation cost, and increasing electric energy demand make the dynamic economic dispatch (DED) increasingly necessary in today’s competitive electricity market. In this paper, an enhanced biogeography-based optimization (BBO) referred to as POLBBO is proposed to solve the DED problem with valve-point effects. BBO is a relatively new powerful population-based meta-heuristic algorithm inspired by biogeography and has been extensively applied to many scientific and engineering problems. However, its direct-copying-based migration and random mutation operators make BBO possess good local exploitation ability but lack enough global exploration ability. To remedy the defect, on one hand, an efficient operator named polyphyletic migration operator is proposed to enhance the search ability of POLBBO. This operator can not only generate new features from more promising areas in the search space, but also effectively increase the population diversity. On the other hand, an orthogonal learning (OL) strategy based on orthogonal experimental design is presented. The OL strategy can quickly discover useful information from the search experiences and effectively utilize the information to construct a more promising solution, and thereby provide a systematic and elaborate reasoning method to guide the search directions of POLBBO. In addition, an effective simultaneous constraints handling technique without penalty factor settings is developed to handle various complicated constraints of the DED problem. Finally, four test cases with diverse complexities are employed to verify the feasibility and effectiveness of the proposed POLBBO method. The experimental results and comparisons with many other recently reported DED solution methods consistently demonstrate that POLBBO is able to obtain better economic dispatch schemes.
    No preview · Article · Apr 2014 · Energy Conversion and Management
  • Gang Liu · Yinhong Li · An Wen
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    ABSTRACT: As more and more distributed generations are connected into the distributed network, the traditional fault location methods are not accurate or suitable. A method of fault location for distribution network based on voltage change was proposed. The method has two steps: firstly, calculating the line group on which the fault may occur by the error index obtained from voltage change; secondly finding the accurate fault position using the voltage change and impedance matrix. This method can adapt to different penetrations of distributed generations in all the practical scenarios. The fault resistance and unbalance of network are considered too. IEEE 34 nodes test feeder was tested, and the result approved great and can meet the need of distribution network fault location.
    No preview · Conference Paper · Dec 2013
  • Hongxin Li · DeFu Cai · Yinhong Li
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    ABSTRACT: Probabilistic assessment of voltage stability margin (VSM) with existence of correlated wind speeds is investigated. Nataf transformation is adopted to establish wind speed correlation (WSC) model. Based on the saddle-node bifurcation transversality condition equations and Monte Carlo simulation technique, probability distribution of VSM is determined. With correlation coefficients range low to high value, the effect of WSC on VSM is studied. In addition, two risk indexes are proposed and the possible threat caused by WSC is evaluated from the viewpoint of risk analysis. Experimental results show that the presence of correlated wind speeds is harmful to safe and stable operation of a power system as far as voltage stability is concerned. The achievement of this paper gives a detailed elaboration about the influence of WSC on voltage stability and provides a potentially effective analytical tool for modern power system with large-scale wind power sources integration.
    No preview · Article · Jul 2013 · Journal of Electrical Engineering and Technology
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    Zhihuan Li · Yinhong Li · Xianzhong Duan
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    ABSTRACT: In this study, several versions of Strength Pareto Evolutionary Algorithm (SPEA, SPEA2 and SPEA2+) are adopted and improved for voltage/reactive power control and simultaneously loss reduction in Optimal Reactive Power Flow (ORPF) of power systems. The purpose of ORPF is to provide a solution that minimizes real power loss and improves voltage profile by determining generator voltages, reactive power support of shunt capacitors and tap changing transformers. To enhance the algorithm's exploiting capability, several problem-specific Local Search Strategies (LSSs) are incorporated to formulate three improved versions of SPEA (ISPEA, ISPEA2 and ISPEA2+). A comparative study between original SPEAs and improved SPEAs is also performed for ORPF on standard New England 39-bus test system. Pareto fronts and outer solutions achieved are compared and their nondominated sets are also analyzed using C measure. Experimental results validated the effectiveness of SPEA2+ and also demonstrated the further performance improvement in ISPEA2+ with LSSs. ISPEA2+ was found to be one of the efficient potential candidates in solving power system multiobjective optimization problems.
    Preview · Article · Apr 2010 · Information Technology Journal
  • Zhihuan Li · Yinhong Li · Xianzhong Duan
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    ABSTRACT: Elitist nondominated sorting genetic algorithm (NSGA-II) is adopted and improved for multiobjective optimal reactive power flow (ORPF) problem. Multiobjective ORPF, formulated as a multiobjective mixed integer nonlinear optimization problem, minimizes real power loss and improves voltage profile of power grid by determining reactive power control variables. NSGA-II-based ORPF is tested on standard IEEE 30-bus test system and compared with four other state-of-the-art multiobjective evolutionary algorithms (MOEAs). Pareto front and outer solutions achieved by the five MOEAs are analyzed and compared. NSGA-II obtains the best control strategy for ORPF, but it suffers from the lower convergence speed at the early stage of the optimization. Several problem-specific local search strategies (LSSs) are incorporated into NSGA-II to promote algorithm's exploiting capability and then to speed up its convergence. This enhanced version of NSGA-II (ENSGA) is examined on IEEE 30 system. Experimental results show that the use of LSSs clearly improved the performance of NSGA-II. ENSGA shows the best search efficiency and is proved to be one of the efficient potential candidates in solving reactive power optimization in the real-time operation systems.
    No preview · Article · Mar 2010 · Journal of Electrical Engineering and Technology
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    Sheng Su · YinHong Li · XianZhong Duan
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    ABSTRACT: This paper analyzes the statistics of faults in a transmission and distribution networks in central China, unveils long-term autocorrelation and power law distribution of power system faults, which indicates that power system fault has self-organized criticality (SOC) feature. The conclusion is consistent with the power systems data in 2008 with ice storm present. Since power systems cover large areas, climate is the key factor to its safety and stability. In-depth analysis shows that the SOC of atmosphere system contributes much to that of power system faults. Extreme climate will be more intense and frequent with global warming, it will have more and more impact upon power systems. The SOC feature of power system faults is utilized to develop approaches to facilitate power systems adaptation to climate variation in an economical and efficient way.
    Preview · Article · Apr 2009 · Chinese Science Bulletin
  • Gonggui Chen · Yinhong Li · Xianzhong Duan
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    ABSTRACT: Environmental/economic dispatch (EED) is a bi-objective optimization problem with conflicting optimization objectives, the minimization of fuel cost and the minimization of emission. In this paper, a modified average price penalty factor (MAPPF) is introduced to convert the bi-objective EED problem into a single-objective optimization problem. A new hybrid evolutionary programming (HEP) methodology is proposed to solve the EED. In the methodology, a simple evolutionary programming (EP) is used as a basic level search, which can give a good direction to the optimal global region. Then, a local search procedure is adopted as a fine tuning to determine the optimal solution. The methodology is applied to a 15-unit system and the numerical results indicate its effectiveness and practicality.
    No preview · Conference Paper · Jan 2009
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    ABSTRACT: Load modeling has a significant impact on power system dynamic analysis. Currently, static load models are commonly used in the power industry to model dynamic behaviors of reactive loads. Dynamic and composite load models are recommended to possibly improve modeling accuracy for reactive power. In this paper, the performance of six load models proposed in the literature for modeling dynamic behaviors of reactive loads are evaluated and compared. The issues of estimation accuracy and model complexity are compared to evaluate the estimation performance of each model. Numerical results indicate that static load models do not adequately model dynamic behaviors of reactive loads. A first-order induction motor model can satisfactorily capture the dynamic behaviors of reactive loads, while composite load models can accurately capture the dynamic behaviors of reactive loads. In addition, the issue of the incorporation of dynamic load models increasing the dimension of system representation is addressed.
    No preview · Article · Nov 2008 · International Journal of Electrical Power & Energy Systems
  • Zhihuan Li · Xianzhong Duan · Yinhong Li
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    ABSTRACT: Objective-converting methods (OCMs) are commonly used to solve multi-objective reactive power optimization (MRPO) problem. In this paper, contour line, a common concept in geography, is introduced to compare and classify OCMs in MRPO. Firstly, OCMs adopted in MRPO problem are summarized. Then, contour lines of different OCMs are drawn in objective function space and search direction of OCMs is analyzed. Based on the shape and characteristics of contour lines, different OCMs are compared and classified. All of studies are a good reference for the further study in MRPO.
    No preview · Conference Paper · Aug 2008
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    ABSTRACT: The diversity of graphics models and data models in the electric utility software environment leads to much repetitive work and impede information sharing greatly. CIM in IEC 61970 defines most of the main objects in the electric utility enterprise, which can facilitate data exchange among heterogeneous applications. Howerver, with the development of power system, graphics information exchange among heterogeneous applications becomes more and more desirable. By analyzing two graphics exchange approaches proposed by CCAPI, the way to exchange graphics information in a standardized form combining IEC 61968 Location package and SVG is introduced. An asynchronous graphics exchange mechanism based on publish/subscribe architecture is proposed, which can greatly reduce the redundancy information and enhance the exchange efficiency.
    No preview · Conference Paper · Aug 2008
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    ABSTRACT: Accurate load modeling is essential for power system dynamic simulation. In this paper, four dynamic load models are identified based on multiple online measurement data from the Taiwan Power System. The performances in modeling real and reactive power behaviors by dynamic and selected static load models are evaluated. Parameter variation with respect to different loading conditions is analyzed. A simple and efficient method is presented to estimate a representative parameter set for different loading conditions. The cross-validation technique is applied to validate the four dynamic load models in order to obtain a better estimate of their performance. Numerical studies indicate that linear dynamic load models studied in this paper give better results than two nonlinear dynamic load models in modeling reactive power behaviors during disturbance while they are comparable in modeling real power behaviors
    No preview · Article · Sep 2006 · IEEE Transactions on Power Systems
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    ABSTRACT: Load modeling is well known to have a significant impact on voltage stability analysis while it is not clear the degree of influence each load has on voltage stability analysis. In this paper the problems associated with quantifying the degree of influence and load ranking on voltage stability analysis are addressed. A computational method based on load margin for this numerical quantification is presented. A load ranking scheme is developed and applied to Taiwan power system to rank the degree of influence each nodal load of Taipower transmission network on load margin of voltage stability. Physical insights of top-ranked nodal loads are provided. Furthermore, the robustness of load ranking under different loading conditions, different contingencies and different power transfer patterns is investigated. Some applications of load ranking results are described
    No preview · Conference Paper · Jan 2006
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    ABSTRACT: Load representation has a significant impact on power system analysis and control results. In this paper, composite load models are developed based on on-line measurement data from a practical power system. Three types of static-dynamic load models are derived: general ZIP-induction motor model, exponential-induction motor model and Z-induction motor model. For dynamic induction motor model, two different third-order induction motor models are studied. The performances in modeling real and reactive power behaviors by composite load models are compared with other dynamic load models in terms of relative mismatch error. In addition, numerical consideration of ill-conditioned parameters is addressed based on trajectory sensitivity. Numerical studies indicate that the developed composite load models can accurately capture the dynamic behaviors of loads during disturbance
    Full-text · Conference Paper · Jan 2006
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    ABSTRACT: Load modeling has a significant impact on power system dynamic analysis. In this paper, load models for modeling dynamic behaviors of reactive loads are developed. Six load models proposed in literature for modeling dynamic behaviors of reactive loads are studied and examined. Numerical results indicate that first-order induction motor model can be developed to satisfactorily capture the dynamic behaviors of reactive loads while composite load models can be developed to accurately capture the dynamic behaviors of reactive loads. The issues of estimation accuracy and model complexity are examined to evaluate the estimation performance of each model. Load models for modeling dynamic behaviors of reactive loads are recommended. (6 pages)
    No preview · Conference Paper · Jan 2006