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International Conference on Critical Infrastructures, CRIS

作者： Zhongqiu Wang Xi Li Gengyin Li Ming Zhou K L Lo Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control under Ministry of Education North China Electric Power University Beijing China Department of Electronic and Electrical Engineering University of Strathclyde Glasgow UK

Distributed generation (DG) that uses renewable energy sources has an unstable output and this can negatively affect existing electric power systems. In order to reduce above impact, we need to develop an energy control system to control the output through individual DG installed in a micro-grid. First, this paper designs a grid-connected Photovoltaic (PV) system and introduces the operation principle of the various parts as well with the control strategy of the power flow. The design of energy storage is of great significance as the output power of PV cells array is greatly affected by the light intensity and the temperature change. Then, it uses the battery as the energy storage device and designs the charge-discharge control strategy according to the characteristics of the battery. Finally it verifies the feasibility of the energy storage control strategy through the simulation models which is built based on the PSCAD/EMTDC platform.

关键词： Batteries Discharges Voltage control Arrays Solar power generation

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A transformer fault diagnosis method integrating improved genetic algorithm with least square support vector machine

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Dianwang Jishu/power system Technology 2010年第2期34卷 164-168页

作者： Zhang, Kai Huang, Hua-Ping Yang, Hai-Tao Xie, Qing Shijiazhuang Power Supply Corporation Shijiazhuang 050000 Hebei Province China Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control North China Electric Power University Ministry of Education Baoding 071003 Hebei Province China Communication and Dispatching Center of Guang'an Electric Power Bureau Guang'an 638000 Sichuan Province China

Least square support vector machines (LS-SVM) can solve small sample nonlinear multi-classification problem well, so it is applicable to the power transformer fault diagnosis by dissolved gas analysis (DGA), however the selection of parameters c and σ2 greatly impacts the diagnosis result, thus the optimized selection of these parameters is necessary. In this paper, the improved genetic algorithm (IGA) is applied to the optimized selection of c and σ2. The initial population of IGA is randomly generated by coding mechanism, in this way, the search space can be quickly expanded and the diversity of individuals in the populations can be stabilized, thus both global search ability and convergence speed can be effectively improved. The LS-SVM optimized by IGA is applied to fault diagnosis by multi-sets of chromatographic data of transformer oil and the result shows that optimizing LS-SVM by IGA, the optimized selection of c and σ2 can be implemented effectively and the accuracy of power transformer fault diagnosis can be improved.

关键词： Failure analysis

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Integration of protection and control systems for smart substation

Integration of protection and control systems for smart subs...

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International Conference on Critical Infrastructures, CRIS

作者： Jing Ma Tong Wang Jie Wu Zengping Wang Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control under Ministry of Education North China Electric Power University Beijing China State Nuclear Electric Power Planning Design and Research Institute Beijing China

Digital based data processing and protection and control system along with digital communication networks introduces new structures for substation protection and control systems and new methods for intelligent protection and control systems. This paper presents a unique vision for the future integration of protection and control systems. Firstly, the basic concept and configuration of the developed protection and control systems for smart substation is introduced. The features and functions of integrated protection and control systems for smart substation are then discussed and compared with that of the traditional substation in detail.

关键词： Substations control systems Local area networks Artificial intelligence monitoring power system reliability

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The application of voltage direct detection method based on mathematical morphology in distribution network with DG

The application of voltage direct detection method based on ...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Peng Li Wei Wang Hongfen Cui Shuai Wang Xilei Yang Yishu Zhao Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control under Ministry of Education North China Electric Power University Baoding Hebei China State Grid of China Technology College Jinan Shandong China

Distributed generation (DG) injects new vigor into the power system, but it sometimes brings unfavorable factors influencing the power quality of distribution network. In this paper, the dynamic Voltage Restorer (DVR) is introduced to the distribution network to improve the power quality. In view of that the detection of voltage compensation is the key factor that influences the effect of voltage compensation, a voltage direct detection method based on mathematical morphology is proposed. Firstly, the positive-sequence voltage with harmonics can be extracted by the instantaneous sequence-component decomposer. And then the harmonics is filtered by mathematical morphology filter. Lastly, the control variable of voltage compensation needed by DVR can be calculated from the voltage direct-detecting algorithm. The simulation results show that this method has the characteristics of favorable accuracy, real-time performance and simplicity, and assures the voltage quality of load side after compensation by DVR.

关键词： Morphology power quality power system harmonics power harmonic filters Active filters Voltage fluctuations power system dynamics Voltage control power generation power system reliability

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Multi-agent approach for service restoration of microgrid

Multi-agent approach for service restoration of microgrid

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Peng Li Bin Song Wei Wang Tiemin Wang Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control under Ministry of Education North China Electric Power University Baoding Hebei China Baoding Tianwei Wind Power Blade Company Limited Baoding Hebei China

Considering the operation of microgrids (MGs) composed of distributed generations (DGs) and loads, a service restoration model aiming at the restoration of the most load with giving priority to the important load power supply is built. On the basis of the proposed hierarchical control strategy, this paper builds up a multi-agent system (MAS) for service restoration of microgrid. Accordingly, the special functions and control strategies of each agent are discussed in detail. A simulation example of a particular microgrid based on the multi-agent system is performed to demonstrate that the efficiency and reliability of the microgrid can be improved by using MAS.

关键词： power system restoration Multiagent systems Distributed control control systems Cogeneration power system modeling power system reliability Artificial intelligence Communication system control Switches

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power distribution network planning optimization based on life cycle cost (LCC)

Power distribution network planning optimization based on li...

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China International Conference on Electricity Distribution, CICED

作者： Haifeng Su Jianhua Zhang Zhirui Liang Shengsuo Niu North China Electric Power University Baoding 071003 Hebei Province China Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control (North China Electric Power University) Ministry of Education Changping District Beijing 102206 China

Combined with the characteristics of conventional distribution network planning, this article proposed a new power distribution network planning optimization method that based on the minimum life cycle cost (LCC) to decide distribution network planning scheme. The life cycle cost calculation model for distribution network planning scheme is made on the premise that the power network operate safely and steadily, in order to obtain the minimum life cycle cost (LCC) as the objective function and use the multi-particle swarms cooperative optimization algorithm to optimize the distribution network path planning, while according to comparative analysis of different layout patterns of switch with LCC to obtain the minimum LCC planning scheme. Finally, the feasibility and effectiveness of the method are verified by the result of applying it to a test system.

关键词： Planning Search problems

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The implication and implementation of smart grid in China

The implication and implementation of smart grid in China

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IEEE General Meeting power& Energy society

作者： Tianshu Bi Sumei Liu Zhenyu Huang Nouredine Hadjsaid Key Laboratory of Power System Protection and Dynamic Security Monitoring & Control under Ministry of Education North China Electric Power University Beijing China Pacific Northwest National Laboratory Richland WA USA INP Grenoble Domaine Universitaire Saint Martin d'Heres France

In recent years, smart grid becomes the trend of future power systems in China and abroad. Present status and the facing challenges of electric power industries in different countries are different, and thus the understanding and the development plan of smart grid are also different from one country to another. In this paper, the motivations and implications of smart grid in USA, Europe and China are compared. Furthermore, the implementation and the key technologies of smart grid in China are introduced.

关键词： Smart grids Electricity Reliability power system reliability Real time systems

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Monte Carlo simulation based assessment of available transfer capability in AC-DC hybrid systems

Monte Carlo simulation based assessment of available transfe...

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International Conference on Critical Infrastructures, CRIS

作者： Junqiang Wei Gengyin Li Ming Zhou K L Lo Department of Mathematics North China Electric Power University Beijing China Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control under Ministry of Education North China Electric Power University Beijing China Department of Electronic and Electrical Engineering University of Strathclyde Glasgow UK

Available transfer capability (ATC) is defined as a measure of the system's capability for transfers of power for further commercial activity, over and above already committed uses. In practical power markets, ATC can provide important information for transmission customers, system operators and power marketers. The assessment of ATC should be carried out to assure the secure, economic, stable and reliable operation of power systems. Most of the existing ATC calculation are mainly focused on AC power system and based on deterministic techniques. As high voltage direct current (HVDC) power distribution systems have been extensively used in modem transmission network, less work has been done on evaluation of ATC in AC-DC hybrid power system. This paper is dealing with the evaluation of ATC for the integration of HVDC link with an AC power system. The mathematical model of ATC for AC-DC hybrid power system is proposed. Due to the stochastic nature of power system behaviors, it is important to assess ATC from a statistical and risk analysis point of view. Considering the dynamics, time-varying and uncertainties of hybrid power systems, several statistical indices are presented to evaluate ATC and they are calculated based on Monte Carlo simulation. States of system operation can be simulated, and the algorithm based on MATpower (A MATLAB™ power system Simulation Package) is developed in the environment of MATLAB 7.5. Case study with a modified IEEE 30-bus AC-DC hybrid power system is used to verify the presented approach. Sequential solution method is employed to deal with the AC-DC power flow. Five-number summary and other statistical indices of ATC are calculated. The results show that the proposed method is effective and practical. The research achievements are undergoing to transfer to the application in other hybrid power systems with different control style, and some new problems are suggested at the end of paper.

关键词： Load flow Monte Carlo methods power system dynamics HVDC transmission Hybrid power systems Mathematical model

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Stochastic parallel algorithm based evaluation of Available Transfer Capability

Stochastic parallel algorithm based evaluation of Available ...

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International Conference on Critical Infrastructures, CRIS

In practical power markets, Available Transfer Capability (ATC) is crucial for transmission customers, system operators and power marketers to make a good choice. It is an indication of the expected transfer capability remaining on the transmission network. In order to assure the secure, economic, stable and reliable operation of power systems, the assessment of ATC should be carried out instantly. Most of the existing ATC calculation are mainly focused on AC power systems and based on deterministic techniques. As high performance computing has been extensively used in scientific computation and technology, less work has been done on evaluation of ATC by using parallel algorithm. This paper is dealing with the evaluation of ATC by stochastic parallel algorithm in an AC power system. Due to the stochastic nature of power system behaviors, it is important to assess ATC from a statistical and risk analysis point of view. Considering the dynamics, time-varying and uncertainties of power systems, several statistical indices is presented to evaluate ATC. They are calculated based on Monte Carlo simulation and parallel computing. The system operation states can be simulated by Monte Carlo method, and the parallel algorithm based on MATpower (A MATLAB™ power system Simulation Package) is developed. Case study with an IEEE 30-bus power system is used to verify the presented approach. Five-number summary and other statistical indices of ATC are calculated. The results show that the proposed method can elapse shorter computation time and it is more effective and practical. Some new attractive issues are suggested at the end.

关键词： Monte Carlo methods Load flow power system dynamics Uncertainty Parallel algorithms

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Comprehensive evaluation method of power quality based on variable weight and set pair analysis

Comprehensive evaluation method of power quality based on va...

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IEEE General Meeting power& Energy society

作者： Guodong Li Gengyin Li Xiang Li Ming Zhou Xiaodong Yang Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control under Ministry of Education North China Electric Power University Beijing China Department of Electrical Engineering Tsinghua University Beijing China School of Electrical and Electronic Engineering North China Electric Power University Beijing China

In this paper, variable weight theory and set pair analysis (SPA) theory are applied to comprehensive evaluation of power quality. Among existing comprehensive evaluation methods of power quality, the problems about index uncertainty and imbalance case are less considered. The application of variable weight SPA, for ensuring identical discrepancy contrary (IDC) of unsure system, effectively reduces the complication of assessment process. Variable weight SPA uses the hybrid model of variable weight to modify power quality indices vector, and the final weights of indices could be determined. Then it takes advantage of new weight vector to compute the relativity coefficient of power quality assessment points. Finally the levels of power quality assessment points are assessed by their relativity coefficient. The results of the simulation show that the method used to carry out comprehensive evaluation of power quality is simple, and the classification is detailed. This method could effectively decrease the impact on index uncertainty to assessment results.

关键词： power quality Indexes Uncertainty Voltage fluctuations Electrical engineering Entropy

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