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01 December 2016, Volume 37 Issue 12
    

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  • WANG Qin, JIANG Huaiguang,WEN Fushuan, MEI Tianhua
    Electric Power Construction. 2016, 37(12): 1. https://doi.org/10.3969/j.issn.1000-7229.2016.12.001
    Abstract ( ) Download PDF ( )   Knowledge map   Save
     The technology concept of big data is getting more and more widely acknowledged and emphasized. With the development of the smart grid and energy internet, the traditional power industry is undergoing profound changes in terms of technical applications, service modes, and development ideas. The decentralization, digitalization and intellectualization of power system devices and end-user facilities could significantly increase the information amount of power system operation and control. This will in turn significantly increase the data volume which is gradually exhibiting the features of big data. Give this background, this paper discusses the concept of big data applications in modern power systems, clarifies the technical features of big data in smart grids, and illustrates the significance of big data security and corresponding protective measures. Some examples are next employed to demonstrate the applications of big data technologies in smart grid environment. Finally, new business modes brought in by big data technologies are discussed, as well as the role of governmental regulation.
  • YANG Jiajia, ZHAO Junhua, WEN Fushuan, DONG Zhaoyang, XUE Yusheng
    Electric Power Construction. 2016, 37(12): 11. https://doi.org/10.3969/j.issn.1000-7229.2016.12.002
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    Through big data mining of residential load data, it can not only analyze the electricity consumption behaviour of residents by the identification of electrical load equipment, but also establish the load precise modeling, which can realize targeted demand-side management as well as develop customized electricity retailing strategies. Given this background, based on the dynamic time warping (DTW) time series matching method, this paper proposes a novel appliance identification algorithm for low frequency sampling load data. Firstly, the residential load sequence is segmented into subsequences composed of the single appliance load profile and multi-appliance load profile. Then, according to the time length of subsequences to be identified and measured electrical equipment power consumption data, reference load sequences of all given appliances are generated which have the same length of each query subsequence, including power change from the moment before equipment start to that after equipment shutdown. Finally, the DTW distance is taken as the similarity metric to determine recognition results. For a subsequence composed of multiple appliances, the best matched reference sequence   is reduced after each DTW is matched, and then segmentation and DTW matching are carried on until all appliances are extracted. Given the status of all identified appliances, a statistical residential load model is developed. The proposed algorithm is coded in the R programming language and tested through a load dataset containing 500 households profiles. The simulation results show that the proposed algorithm could identify the single appliance load subsuquence at an accuracy above 93%, under the condition that the load data is sampled once every minute; while for the more difficult multi-appliance subsequence identification, the achieved accuracy is around 83%.
  • LI Gang, JIAO Yafei, LIU Fuyan, YU Min, SONG Yu, WEN Fushuan
    Electric Power Construction. 2016, 37(12): 24. https://doi.org/10.3969/j.issn.1000-7229.2016.12.003
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     With the continuous expansion of power systems, as well as ever-developing technology and reduced costs of measurement devices, the recorded data in power systems have been increasing significantly and progressively exhibit the feature of big data. Much attention has been paid to the full use of big data for improving the planning, operation and control of power system, and hence how to evaluate the quality of big data is becoming an important problem to be examined. Some research publications are available on data quality improvement, such as data cleaning, data integration, and the detection of similar records, but the existing research work is still preliminary in data quality evaluations. Given this background, considering the characteristics of power systems and associated big data, this paper proposes a comprehensive method for evaluating the quality of big data in power systems. Firstly, we construct an index system for big data quality evaluations. Then aiming at the timeliness of big data, we adopt the K-means clustering algorithm in parallel with MapReduce for fast preprocessing of the big data sample set. Secondly, we use entropy weight method to calculate the objective weight of each dataset and grey evaluation method to determine the data quality level. On this basis, the comprehensive evaluation of the sample data set is carried out. Finally, the recorded electric load historical data in a city power company are employed to demonstrate the proposed method.
  • ZHANG Wei, WEI Tao,CUI Yanyan, LIU Wei, WANG Zongli, LI Fang, HUANG Renle
    Electric Power Construction. 2016, 37(12): 32. https://doi.org/10.3969/j.issn.1000-7229.2016.12.004
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    The flexible DC technology is applied more and more widely in distribution network with the large-scale access of DC power supply and DC load including distributed generation and electric vehicle and the improvement of the power supply reliability. This paper studies a typical network structure of AC/DC hybrid distribution network including multi-terminal flexible DC loop network controller, proposes the transition targets, principle and process of the traditional AC grid to AC/DC hybrid distribution network, and presents the transition way of several typical grid. Finally, the mode and conversion process of the AC/DC hybrid distribution network including flexible DC loop network controller are cleared through dividing the work modes in case of the three-terminal flexible DC loop network controller, which provides the theoretical basis for the upgrading of the traditional distribution network to the AC / DC hybrid distribution network.
  • HUA Haorui, LI Peng
    Electric Power Construction. 2016, 37(12): 40. https://doi.org/10.3969/j.issn.1000-7229.2016.12.005
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     According to the special grid structure and electrical characteristics of AC/DC hybrid microgrid, this paper proposes the multiple time scale optimal operation model of AC/DC hybrid microgrid with considering power prediction error based on two layers of time scale, in order to improve the applicability of the optimal operation of AC/DC hybrid microgrid. Firstly, in hour-period, the day ahead scheduling scheme is formulated through wind, photovoltaic and load prediction curve of next day. Then, in real time 15 minutes-period, an unbalanced power adjustment plan is developed by the detection of unbalanced power errors under the the day ahead scheme, which can maximize the adjustment costs or minimize the adjustment income. Finally, the effectiveness of the proposed method is verified through a numerical example.
  • YAN Xiao, JIAO Yanjun, DU Zhe
    Electric Power Construction. 2016, 37(12): 48. https://doi.org/10.3969/j.issn.1000-7229.2016.12.006
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     With the rapid development of distributed generation and changes of loads, traditional radical AC distribution network is confronted with many problems. With the technology of multiterminal VSCs (voltage source converters), this paper builds the AC/DC hybrid distribution network through adding DC-link to AC distribution network, proposes the network structure of AC/DC hybrid distribution network and theoretically analyzes its control strategy. Finally, this paper constructs the simulation model by Matlab/Simulink to simulate and verify the network structure and control strategy. The simulation results show that through the rational control of VSCs, the voltage distribution and load carrying capacity of existed AC distribution lines can be improved effectively, and the power flow can be controlled flexibly, therefore, the resources can be allocated appropriately. Moreover, the DC-link of AC/DC hybrid distribution network can be a part of future DC distribution network so that the distribution network can be transitioned smoothly from traditional AC to DC.
  • YAN Gangui,WANG Yubo,ZHONG Cheng,GAO Yang
    Electric Power Construction. 2016, 37(12): 55. https://doi.org/10.3969/j.issn.1000-7229.2016.12.007
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     Wind power as a renewable energy power generation in the power grid has been increased year by year. However due to the randomness, volatility and intermittency, the characteristics of wind have adverse impacts on safe and stable operation of grid. At the same time, energy storage technology has also been developing in recent years, whose rapidity and large-scale throughput can make up for the negative impact of wind turbine operation. Firstly, this paper analyses the output characteristics of wind power and energy storage system. Secondly, we apply the inertia of energy storage technology compensation system for the problem that wind power does not have the inertia during frequency fluctuation; use the frequency rate of change as the feedback input and adjust the inertia constant K. The wind storage combined system as a whole part provides active power to participate in the frequency adjustment of grid. Thirdly,we use Matlab/Simulink simulation to verify the proposed control strategy compensating for system inertia. Finally, compared with wind turbines participating in power grid frequency modulation in the simulation diagram, the superiority that wind storage combined system involved in power grid frequency modulation is proved.
  • WANG Yue,LUY Lin,ZHU Yuwei
    Electric Power Construction. 2016, 37(12): 61. https://doi.org/10.3969/j.issn.1000-7229.2016.12.008
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     Suitable energy storage can be configured for the wind power plant to stabilize the fluctuations of wind power and improve the power quality of wind power. Based on the historical data of wind power output, this paper proposes a double layer power decomposition method. The first layer adopts moving average method to decompose the power of the grid-connected power and hybrid energy storage system, according to the wind power grid connected indicators in China. The second layer uses spectrum analysis method and Fourier transform to decompose the reference power of hybrid energy storage system into low frequency component and high frequency component, which are distributed to the battery and the super capacitor, respectively. Considering the state of charge of energy storage equipment and the cycle life of the battery, this paper establishes the capacity optimization model of the hybrid energy storage system, which takes the minimum annual comprehensive cost as the optimization goal. The simulation results verify the feasibility of the double layer power decomposition method, and prove that the hybrid energy storage system is superior to the single type energy storage system in performance and economy.
  • ZHONG Cheng, WEI Lai,YAN Gangui
    Electric Power Construction. 2016, 37(12): 68. https://doi.org/10.3969/j.issn.1000-7229.2016.12.009
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     With the increase of installed capacity of wind farm, the operation stability of wind power system during grid disturbances becomes important. Grid codes require that wind power system stays connected to the grid during voltage dips for a certain period, with the ability of low-voltage ride-through (LVRT). For permanent magnet synchronous generator (PMSG), the key to improve the ability of LVRT is that fast control DC-Link voltage when grid-voltage dips. This paper proposes a LVRT control strategy for PMSG unit based on control mode switch. The strategy changes the control mode between in normal and fault of grid-voltage, and adopts the grid-side converter or generator-side converter to control the DC-Link voltage respectively. In addition, this paper proposes an improved feed-forward method to speed up the DC bus control, which can accelerate the speed control and reduce the peak value of the DC bus voltage. The simulation results validate the effectiveness of the proposed strategy.
  • YAO Li, WANG Xiuli, XIAO Han,FU Xu,LI Bin, YANG Panfeng
    Electric Power Construction. 2016, 37(12): 74. https://doi.org/10.3969/j.issn.1000-7229.2016.12.010
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     According to the uncertainty problem of renewable energy in the production simulation of power system, this paper uses the theory of multi-scenario stochastic programming to study the production simulation method for the power system with renewable energy. For the weekly production simulation, the uncertainty of renewable energy is characterized by multiple scenarios, and the stochastic programming model is established to simulate the system operation, and solved by the algorithm based on Benders decomposition. With a case for real power system, we calculate indicators such as annual spillage rate of renewable energy and thermal power surplus installed capacity, compare the results solved by different methods, and study the impact of spinning reserve ratio on the accommodation capacity of renewable energy. The results show that the proposed method can calculate the index related to the system operation, the algorithm adopted has advantages compared with the approach that using mathematical software directly. In addition, this paper presents the relationship between the spinning reserve ratio and the spillage rate as well as the accommodate energy of renewable energy.
  • YE Chenhui,ZHOU Ling,ZHANG Muyin,GUAN Zhicheng
    Electric Power Construction. 2016, 37(12): 82. https://doi.org/10.3969/j.issn.1000-7229.2016.12.011
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     With comprehensively considering plug-in electric vehicle (PEV), the output power uncertainty of various distributed generations (DGs) in microgrid, the DG investment and operation cost, and the benefits of energy saving, loss reduction and outage loss decrease brought by microgrid, this paper optimizes the configuration of microgrid power supply. After the PEV is connected to the microgrid, it can be used as the energy storage device to supplement the original energy storage element according to the actual operation of microgrid, which can reduce the capacity of the energy storage element and improve the economic performance of the microgrid. From the aspect of PEV participating in the operation of microgrid, this paper establishes the optimal configuration model of microgrid power supply based on PEV. The results show that the optimal solution of the model can ensure the best economy of investment and obtain a larger social economic benefit, which provides theoretical basis for the optimal configuration of microgrid power supply with PEV.
  • FAN Hong,CHEN Si, ZUO Luhao, ZHOU Xianyuan
    Electric Power Construction. 2016, 37(12): 89. https://doi.org/10.3969/j.issn.1000-7229.2016.12.012
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     This paper establishes the equivalent mathematical model of AC-DC power grid, and proposes the bi-level programming mathematical model for the optimal power flow (OPF) of AC-DC power grid. The upper objective function of the bi-level programming model is the minimization of total fuel costs, and sets the active power and reactive power as variables; the lower objective function is the minimum voltage offset between different nodes, and sets the taps position of transformer as variables. The upper and lower variables are interactional, alternative and iterative. We adopt the hybrid algorithm including the interior point method with tracking center path and the firefly algorithm to solve this model. The interior point method is used in the upper model, which can converge to the global optimal solution in short time. At the same time the firefly algorithm is used in the lower model, which can deal with discrete variables better. Finally, the simulation results of the IEEE 30 nodes system and IEEE 118 nodes system verify the validity and correctness of the bi-level programming algorithm. Through the power transmission way comparison between AC and DC line, the advantage of DC power transmission system is verified. 
  • ZHANG Chun, TIAN Fang, YU Zhihong, LI Yansong, ZHANG Shuang, TIAN Bei
    Electric Power Construction. 2016, 37(12): 96. https://doi.org/10.3969/j.issn.1000-7229.2016.12.013
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     In the method of power system transient stability assessment based on machine learning technology, the reasonableness of the input feature extraction  decides the final classification result. However, there were no tools to judge whether the selected input features are the separable. Therefore, this paper introduces the Sammon mapping algorithm to map high dimensional sample data to low dimensional space, determines the effectiveness of selected feature through observing the distribution of mapping points, and improves the original algorithm according to its deficiencies. Firstly, we adopted principal component analysis (PCA) method to obtain the first two dimensional principal component vectors containing the most original data information, which worked as the initial value of the mapping point coordinate vector instead of the random selection method in the original algorithm. Then, we used the iterative method to solve the coordinate vector of mapping points to accelerate the solving speed. Finally, we used the improved Sammon mapping algorithm as a tool to analyze the effectiveness of selected features of the numerical simulation data in IEEE39-bus system and the actual online historical data of a certain area. The analysis results show that the improved algorithm has a good application prospect in guiding feature selection.
  • LI Peng1, HUA Haorui1, XU Shaojun2, CHANG Qiankun2
    Electric Power Construction. 2016, 37(12): 104. https://doi.org/10.3969/j.issn.1000-7229.2016.12.014
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      This paper proposes a local accommodation model of distributed wind/photovoltaic power accessed to active distribution network based on time-of-use (TOU) power price mechanism, which is able to increase the accommodation rate of distributed wind/photovoltaic power by giving active distribution network the right to set the TOU power price. Firstly, this paper analyzes the price-based demand response of load under TOU power price mechanism based on load classification. Then, this paper constructs a local accommodation model of distributed wind/photovoltaic power accessed to active distribution network based on TOU  power price mechanism, whose objective function is the maximum wind/photovoltaic power accommodation rate while considering several necessary constraints. And this paper adopts simulated annealing algorithm to solve the proposed model. Lastly, the example results show that the proposed method can increase the accommodation rate of wind/photovoltaic power accessed to active distribution network effectively.
  • HU Meiyu, HU Zhijian
    Electric Power Construction. 2016, 37(12): 113. https://doi.org/10.3969/j.issn.1000-7229.2016.12.015
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     This paper proposes a new reliability evaluation method for distribution system considering demand response. Firstly, we divided the peak-valley periods based on improved membership function and established a customer response model integrating time-of-use price and incentives. To improve the reliability assessment efficiency,  a clustering method based on threshold and minimum distance was proposed to generate annual load multi-state model. We applied the correlation coefficient matrix, Latin hypercube sampling and Cholesky decomposition to get the correlation sample of wind turbine generator output. Finally, the reliability analysis of active distribution network considering demand response can be realized by correcting the traditional reliability index based on island stable operation probability. Applying the proposed method to the reliability evaluation of example, the results show that the demand response strategy can improve the reliability and energy efficiency of grid.
  • SONG Mengqi, TAO Shun, CHEN Pengwei
    Electric Power Construction. 2016, 37(12): 119. https://doi.org/10.3969/j.issn.1000-7229.2016.12.016
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     When faults occur in active distribution network (ADN), the isolation of malfunctions can ensure continuous power supply for un-faulted region. Based on these active operation characteristics, this paper proposes an power quality evaluation method for ADN with considering the multi operation states of ADN. Firstly, the state duration of components is sampled, a sequence of the system state and duration can be further obtained, and the topology and parameter identification of network in each state are implemented. Then Latin hypercube sampling is adopted for loads and the distributed generation outputs, and the coordinated control between energy storage and loads is implemented considering the principle of power balance in the island mode, so that the power of the distributed generation, energy storage and loads can be obtained. Finally, we calculate the probabilistic power flow under each running state, statistically analyze the voltage amplitude results, and use the proposed indexes of voltage deviation risk and island node outage probability to evaluate the voltage quality. The application in the ADN test system based on RBTS-Bus2 proves the efficiencies of the proposed method.
  • ZHENG Yaxian, WU Zechen, WANG Xiuli, ZHANG Wei
    Electric Power Construction. 2016, 37(12): 128. https://doi.org/10.3969/j.issn.1000-7229.2016.12.017
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     Wind power producers have begun to participate in electricity market in some developed countries. This paper builds a model for wind power flexible electricity contract and proposes a wind power long-term trading strategy based on seller-side flexible electricity contract. Wind power producers can flexibly schedule the contract energy during each period according to market condition and wind power prediction in order to maximize their profits. This paper focuses on the optimal decision of contract energy, proposes the model based on stochastic dynamic programming and its solving method. In examples, we use time series method for the simulation and prediction of wind speed and electricity price. The comparison of three different trading strategies shows that a well scheduled seller-side flexible electricity contract can significantly enhance the income of wind power producer and effectively control financial risk at the same time.
  • CHEN Weibiao, CHEN Yiping, YAO Wei, SUN Yanbin, WEN Jinyu
    Electric Power Construction. 2016, 37(12): 134. https://doi.org/10.3969/j.issn.1000-7229.2016.12.018
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     With the improvement of automation level of power dispatching and control center, measurement information from multiple sources, such as supervisory control and data acquisition (SCADA), wide-area measurement system (WAMS), relay protection information system, et al, is gathered to the unified database in the power dispatching and control center. In order to dig out several application scenarios of multi-source information in power dispatching and operation, this paper applies multi-source information in grid fault diagnosis and proposes a fault diagnosis method for power grid based on time series matching with multi-source information. Firstly, we introduce the database construction of multi-source information, the structure of power grid time series and the corresponding generative rules for different data sources. Then the suspicious fault areas and the power grid time series of the unknown fault are determined by sequence of event (SOE) information, protection operation information and electric measurements of phasor measurement unit (PMU) when the fault occurs. After that, the power grid time series of the unknown fault are matched with the standard time series sets that are produced according to the suspicious element's configuration information of protective relays in the suspicious fault areas. Then the detailed fault information is obtained, including fault elements, fault type, fault time, fault procedures and so on. Finally, the feasibility and effectiveness of the proposed method are validated by practical calculation example.
  • GE Liang, XU Qian, CHENG Haozhong, LAN Zhou, LIU Lu
    Electric Power Construction. 2016, 37(12): 143. https://doi.org/10.3969/j.issn.1000-7229.2016.12.019
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      Considering the performance evaluation of different levels of power grid, this paper studies an investment allocation method. Firstly, we divide power grids into different levels according to their different characteristics, and establish the performance index systems of different levels of power grid. We applied comprehensive evaluation method based on fuzzy mathematics to evaluate the grid performance, and used the logistic curve to fit the relationship between grid performance and cumulative investment. Then, we established the investment allocation model with the minimum variance of the grid performance margin as the target. Finally, the power grid of a province in eastern China was conducted to make validation and analysis as an example, and the investment quota of different levels of power grid during the “13th Five-year plan” period was is given. The results are reasonable and credible, which proves the feasibility of the proposed investment allocation method.