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01 January 2020, Volume 41 Issue 1
    

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  • Electric Power Construction. 2020, 41(1): 1.
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  • LIU Minghua, LIU Wenxia, LIU Chenmiao, LIU Zongqi, LI Shouqiang, ZHANG He, YAN Hao, PU Zheyong
    Electric Power Construction. 2020, 41(1): 1-2. https://doi.org/10.3969/j.issn.1000-7229.2020.01.001
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    In order to improve the efficiency and investment benefits of the electrothermal integrated energy system, an optimal dispatching method for heating system under the frequency modulation service with the participation of electrode boilers is proposed, which takes advantage of the flexible regulation and fast response of the electrode boilers. Firstly, the frequency regulation modes of power system are introduced and a method for calculating the benefits of frequency regulation under PJM ancillary service compensation mechanism of frequency regulation market is proposed. And on the basis of the heat demand response, the operation mechanism of the electrode boiler is established, and the day-ahead prediction method for the ability of the heat demand response is proposed. Then, a day-ahead optimal dispatching method aiming at maximizing the total benefits of heating and frequency regulation for operators is established. Finally, an example is given to verify the effectiveness of the model. The results show that the participation of electrode boiler in frequency modulation can improve operators' benefits, which is of great significance to promote the development of electrothermal integrated energy system.
  • ZHANG Yuwei, YANG Jun, WU Fuzhang, ZHAN Xiangpeng, LONG Xuemei, ZHANG Jun, XU Jian
    Electric Power Construction. 2020, 41(1): 13-22. https://doi.org/10.3969/j.issn.1000-7229.2020.01.002
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    In recent years, with the increase of EVs, the grid and traffic networks are closely connected. In 2018, the failure of the charging stations in Shenzhen caused a lot of EVs to stop working, which indicates that the disturbance of the grid may spread to the traffic network through the coupling of charging stations and EVs, resulting in a cascading failure. Therefore, aiming at the coupling of the grid-traffic networks, the propagation of fault disturbance is studied. Firstly, the coupling relationship between the two networks is analyzed, and the coupling network model is established on the basis of the multi-layer network theory. The travel chain is used to simulate the driving path of electric vehicles, and the travel and charging model of EVs is established. On the basis of the coupling network and considering the impact of charging station fault disturbance on EVs, the fault disturbance analysis method based on cascading failure of multi-layer network is proposed. Finally, the spatial-temporal propagation characteristics of charging station fault disturbance in traffic network are analyzed through simulation example. The results show that the proposed fault propagation analysis framework based on grid-transport network coupling can accurately describe the impact of grid disturbance on the traffic network. And the method can classify according to the temporal and spatial evolution characteristics of traffic conditions of different road sections, and provide a scientific basis for traffic managers to make decisions.
  • CAI Qinqin,YANG Xiaohua,ZHU Yongqiang
    Electric Power Construction. 2020, 41(1): 23-31. https://doi.org/10.3969/j.issn.1000-7229.2020.01.003
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    With the continuous improvement of distributed energy penetration rate, establishing a building-based energy management system has become an inevitable trend in the transformation of user-side energy consumption structure. This paper takes building with photovoltaic power and energy storage as the object, divides the building load into un-schedulable and schedulable loads according to the load characteristics, and establishes the model of lowest building electricity cost and the largest local accommodation of PV power. With the goal of two models under different weight coefficients, the improved discrete binary particle swarm optimization algorithm (DBPSO) is used to optimize the working time of schedulable load. Simulations are carried out under different conditions to verify the effectiveness and economy of the proposed model in local PV accommodation and building energy management.
  • QIAO Wenyu, LI Ye, LIU Haoyu, LI Yang, YANG Ting
    Electric Power Construction. 2020, 41(1): 32-38. https://doi.org/10.3969/j.issn.1000-7229.2020.01.004
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    Many advanced applications in the power grid are based on load data. However, in the process of data collection, transmission and storage, there will inevitably meet with data missing, which may bring bad effect to data analysis. In allusion to the above problem, this paper proposes a missing data completion strategy combining load curve similarity and singular value threshold algorithm. Firstly, through analyzing the distribution of singular values in electric data matrix, a low rank characteristic is revealed. On the basis of that, considering the differences between power consumption curves, a data recovery method of pre-filling, curve similarity classification and secondary filling is proposed. After the pre-filling, for each power curve to be recovered, the k curves which are most similar to it are found on the basis of the improved similarity index to form the data matrix, and then the low-rank matrix completion is applied again. Through the above steps, the missing recovery is supposed to be improved. The load data from the power grid in north China is used for test, and the method proposed is compared with the classical interpolation method to verify the effectiveness. Results prove that the combination of load curve similarity and singular value thresholding (SVT) can effectively complete the missing data and provide strong support for load data repair.
  • ZHAO Changshu, QIU Xiaoyan, ZHAO Youlin, LI Linghao,ZHANG Kai, LIU Mengyi
    Electric Power Construction. 2020, 41(1): 39-44. https://doi.org/10.3969/j.issn.1000-7229.2020.01.005
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    In building ubiquitous power Internet of things, the unified power flow controller (UPFC) may be used to realize the close connection of multiple lines on the physical level. A large-scale power system transmission framework is formed by connecting multiple converters in series to multiple transmission lines, and connecting multiple parallel converters to other multiple networks. On the DC lines connecting many converters, the energy storage battery is connected in parallel as the active power support to form a new UPFC system under the framework of the power internet of things. The mathematical model of the new UPFC system is established, and the objective function is the maximum capacity of renewable energy accommodation and the minimum cost of active power transmission. The advantages of the new UPFC system in enhancing the transmission limit of active power and reducing the transmission cost of active power are verified by numerical simulation.
  • LI Xiangqi,YU Haifeng,LI Xinran,ZHANG De,JIANG Xing,ZHU Sirui,CHEN Changqing
    Electric Power Construction. 2020, 41(1): 45-54. https://doi.org/10.3969/j.issn.1000-7229.2020.01.006
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    In order to give full play to the peak regulation, voltage regulation and system reliability of the energy storage power station in the distribution network, in this paper, a multi-functional application planning method is proposed. It is mainly based on peak cutting and valley filling, and also takes into account voltage regulation and new energy consumption. The method aims to determine the location, power and capacity of the battery storage power station while maximizing the economic benefits. In order to make the results more accurate, considering the impact of battery aging, the battery storage power station is divided into multiple periods of construction, operation, decline and so on to build a dynamic full life cycle model. Finally, quantum genetic algorithm is used to solve the problem. The planning method proposed in this paper is verified by taking the actual power grid data of a province in China with large peak-valley difference and unbalanced distribution of power supply and load as an example.
  • HUANG Yuanming, CHEN Qing,WEI Wei, WU Mingxing,XIE Min,DUAN Qingang,LIU Mingbo
    Electric Power Construction. 2020, 41(1): 55-63. https://doi.org/10.3969/j.issn.1000-7229.2020.01.007
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     In this paper, the mechanism of wind power with energy storage participating in medium and long-term power market trading is studied. On the basis of the actual situation of power market construction, considering the technical characteristics and operation constraints of wind-storage system, aiming at the mode of wind farm with energy storage participating in direct transaction, and integrating the physical delivery principle of medium and long-term spot market, a safety-constrained unit combination model with joint clearing of medium and long-term spot market is established, which is essentially a contingency model containing NP-hard complex optimization of machine variables. In order to improve the efficiency of the solution, a fast simplified algorithm based on typical day-series unit commitment is proposed, which not only effectively solves the problem of unit ramp connection with different load curve dates in medium and long-term power market operation, but also greatly improves the calculation efficiency. The example of IEEE 39-node system shows that the proposed joint liquidation model considering wind-storage participating in direct transactions in the medium and long-term spot market and the fast algorithm for solving the problem are effective, and the computational efficiency and relative error are satisfied.
  • JIA Lihu,GAO Yi,GE Leijiao,TIAN Zhuang,ZHAO Gaoshuai,ZHANG Lai, ZHANG Haining
    Electric Power Construction. 2020, 41(1): 64-70. https://doi.org/10.3969/j.issn.1000-7229.2020.01.008
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    A two-stage stochastic optimization scheduling model with the lowest operating cost is established to solve the problem of joint optimal scheduling of solar-thermal power station and CHP system. In the day-ahead scheduling stage, prediction error is not considered, and the predicted value is used as the input quantity to make a daily effort to arrange each micro-element. In the real-time adjustment stage, the uncertainty model of PV generation output is established, and the standby demand under the scheduling scheme of the previous dispatch stage is evaluated.  A typical case in Tianjin is presented, the simulation results of which show that the two-stage optimal scheduling model proposed in this paper can guarantee the effectiveness of the scheduling plan and the standby demand in real time, and can improve the reliability and reduce the running cost.
  • WANG Shangxing,JIA Xuecui,WANG Lihua, YAN Shijie,LI Xiangjun
    Electric Power Construction. 2020, 41(1): 71-79. https://doi.org/10.3969/j.issn.1000-7229.2020.01.009
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     In order to smooth the power output of the new energy generation system with strong randomness and fluctuation, a current predictive control method of power converter for hybrid energy storage is proposed. Firstly, the complementary characteristics of charging and discharging speeds of lithium batteries and super-capacitors are analyzed, as well as the switching states of their power converters. Then, on the basis of model predictive control, the predictive models of lithium battery, super-capacitor and dual power converter are established. On this basis, a hybrid energy storage control system is designed by using model predictive control. Considering the current tracking errors of lithium batteries, super-capacitor current tracking errors, super-capacitor losses and the number of switches of dual power converter, a multi-objective evaluation function is constructed and the optimal switching mode is solved. After real-time optimization of the control system, the optimal switching mode is output. In this way, not only the high-current and low-frequency variable power tracking of lithium battery, but also the low-current and high-frequency variable power tracking of super-capacitor are realized. Therefore, the balanced energy distribution of hybrid energy storage system is realized. The service life of lithium battery is prolonged. The switching action is reduced, and the overall efficiency of the system is improved. Finally, the correctness of the proposed method is verified by simulation.
  • REN Xijun, YE Bin, GAO Ciwei, WANG Bao, YANG Na,ZHANG Mao3 SHAO Haiwen
    Electric Power Construction. 2020, 41(1): 80-87. https://doi.org/10.3969/j.issn.1000-7229.2020.01.010
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    The establishment of reasonable incremental distribution price can stimulate multi-agent investment in incremental distribution network and improve the efficiency of distribution network operation. Firstly, the adaptability of the 4 basic pricing methods, namely the permitted income method, the bidding pricing method, the ruler competition method, and the ceiling price method, is analyzed. Secondly, considering the complexity of the factors affecting the efficiency of distribution network, on the basis of the entropy method and data envelopment analysis (DEA), the efficiency evaluation model of incremental distribution network is established from the perspectives of production operation and service quality, which can avoid the subjective problems in calculating index weights. Finally, the demand of incremental distribution network at different stages is analyzed, and the improved price cap model is established at the primary and mature stages of incremental distribution network. The example shows that the proposed pricing method can promote investment in the initial stage of the development of incremental distribution network, and can stimulate the distribution enterprises to improve the efficiency of investment and operation in the mature stage.
  • CHENG Jiangzhou, XIE Shiyu, ZHANG Yunning, WANG Jinfeng, XIONG Shuangju
    Electric Power Construction. 2020, 41(1): 88-96. https://doi.org/10.3969/j.issn.1000-7229.2020.01.011
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    In view of the uncertainty of user behavior and the impact of household appliance priority on load scheduling, an optimization model of intelligent power consumption is proposed, which considers compositive comfort under budget limitation. Firstly, the unit comfort expenditure is defined by combining users expense and comfort level, and the presupposition for users comfort level is expounded. Secondly, after allocating comfort value according to time priority and equipment priority, the compositive comfort value can be obtained by combining two priorities. Finally, under budget limitation, an optimization model of intelligent power consumption considering compositive comfort is established, and the model is solved by using the continuous search particle swarm optimization algorithm. Simulation results in three different scenarios show the effectiveness of this model in improving users comfort level.
  • TIAN Yanjun,CHEN Yingfei, WANG Hui, WANG Yi, GAO Haonan
    Electric Power Construction. 2020, 41(1): 97-105. https://doi.org/10.3969/j.issn.1000-7229.2020.01.012
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     In the photovoltaic DC boost collection system, DC/DC converters on the photovoltaic side realize power transmission through the cascaded topology. However, when the input photovoltaic power is different greatly, the cascaded converter switches between the maximum power point tracking (MPPT) mode and the constant voltage mode, and the mode switching control causes the system stability change. In this paper, the isolated boosting full-bridge converter is taken as the research object, and the small-signal model of the converter output impedance under the control of incremental conductivity method-MPPT and constant voltage is established, and then the equivalent impedance model of cascaded system is deduced. According to the impedance stability criterion, the difference of system stability under control mode switching is evaluated. The results show that the stability of the system is reduced when the converter is switched from the MPPT mode to the constant voltage mode, and the stability is significantly deteriorated as the number of switching control mode modules increases. Therefore this paper proposes to decrease the bus voltage to maintain PV-side DC/DC converter within the MPPT control mode. Finally, a simulation model of the cascaded system is built in Matlab/Simulink to verify the correctness of the theoretical analysis.
  • GENG Xiaohong, WEN Jun, TAN Meng, HE Dongshan, WANG Sichao, HAN Minxiao
    Electric Power Construction. 2020, 41(1): 106-113. https://doi.org/10.3969/j.issn.1000-7229.2020.01.013
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     Increasing the proportion of cable lines will change the harmonic transfer characteristics of the transmission power grid at HVDC receiving-end. In this paper, the concept of cable rate is proposed firstly, and the harmonic model of distribution parameters of transmission line that accurately considers the cable rate is derived. Then, the model of harmonic voltage transfer coefficient for AC and DC system harmonics transmitted through the outgoing line of HVDC inverter station is established, which considers the cable rate. Finally, taking Yihua HVDC project in Shanghai as an example, the influence of cable rate on harmonic interactive transfer characteristics of transmission power grid at HVDC receiving-end under different modes of outgoing line is analyzed in detail. The results show that the harmonic transfer characteristics between HVDC system and AC transmission power grid at receiving-end are constrained by modes of outgoing line at HVDC inverter station, parameters of outgoing line, cable rate and harmonic frequency;the increase of cable rate will cause the resonance frequency to shift to the left, and the offset in the high frequency is more serious. The derived model can quantitatively analyze the degree of harmonic amplification according to actual line parameters and cable rate, which is a significant basis for cable line planning and construction of receiving-end transmission grid in the future.
  • GENG Qi,HU Yan,HE Jianzong,ZHOU Yongyan,ZHAO Wei
    Electric Power Construction. 2020, 41(1): 114-125. https://doi.org/10.3969/j.issn.1000-7229.2020.01.014
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    Integrated community energy system(ICES)based on energy router (ER)and common DC bus not only realizes the complementarity of many forms of energy such as electricity, heat and cooling, but also realizes the electric energy sharing among integrated energy systems in the community. In order to improve the operation flexibility, two kinds of thermal energy storage are considered in the integrated energy system: thermal storage system and thermal storage links in the combined heat and power concentrating solar power. On the basis of this system, an energy sharing based operation optimization model is established. The objective function is to minimize the operation cost of integrated community energy system. Compared with the non-cooperative mode, the energy sharing between integrated energy systems can reduce the operating cost and CO2 emissions. In order to ensure that the coalition benefits of integrated community energy system are fairly distributed among the participants in the coalition, Nash bargaining method is proposed. In addition, in view of the situation that the new participant joins the coalition after the initial coalition is established, the optimal operation model of the new coalition is proposed. A case study verifies the feasibility and effectiveness of the proposed optimal operation model.
  • LIANG Xiurui, LIU Daowei, YANG Hongying, LI Weixing, SHAO Guanghui, XU Xingwei, WANG Kefei, LI Zonghan, ZHAO Gaoshang
    Electric Power Construction. 2020, 41(1): 126-132. https://doi.org/10.3969/j.issn.1000-7229.2020.01.015
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    With the increasing complexity of power systems, traditional static voltage stability analysis methods face challenges to meet the accuracy and speed of real-time static stability assessment. In this paper, a data-driven static voltage stability evaluation method is proposed. First, the system state data in different time sections are captured along the time trajectory by simulation tools, and the characteristic attributes with high correlation with voltage stability are screened out. The static load active power margin is used to classify the data. Second, a random forest classifier model integrating multiple decision trees is used to transform the original state label data into stable information and behavior models, and the static voltage stability behavior is sensed and learned from the data. Finally, by querying the classification results of the random forest, the judgment of the static voltage stability is achieved. Simulation results show that the model is feasible and suitable for static voltage stability situation assessment.