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Bad Data Detection Algorithm for PMU Based on Spectral Clustering

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Journal of Modern Power Systems and Clean Energy 2020年第3期8卷 473-483页

作者： zhiwei yang Hao Liu Tianshu Bi Qixun yang State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China

Phasor measurement units(PMUs) can provide real-time measurement data to construct the ubiquitous electric of the Internet of Things. However, due to complex factors on site, PMU data can be easily compromised by interference or synchronization jitter. It will lead to various levels of PMU data quality issues, which can directly affect the PMU-based application and even threaten the safety of power systems. In order to improve the PMU data quality, a data-driven PMU bad data detection algorithm based on spectral clustering using single PMU data is proposed in this paper. The proposed algorithm does not require the system topology and parameters. Firstly, a data identification method based on a decision tree is proposed to distinguish event data and bad data by using the slope feature of each data. Then, a bad data detection method based on spectral clustering is developed. By analyzing the weighted relationships among all the data, this method can detect the bad data with a small deviation. Simulations and results of field recording data test illustrate that this data-driven method can achieve bad data identification and detection effectively. This technique can improve PMU data quality to guarantee its applications in the power systems.

关键词： Phasor measurement units(PMUs) bad data detection event data identification decision tree spectral clustering

DOA estimation of wideband signals based on iterative spectral reconstruction

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Journal of Systems Engineering and Electronics 2017年第6期28卷 1039-1045页

作者： Shun He zhiwei yang Guisheng Liao National Laboratory of Radar Signal Processing Xidian University Xi’an 710071 China Communication and Information Engineering Collage Xi’an University of Science and Technology Xi’an 710054 China

In order to solve the problem of coherent signal subspace method(CSSM) depending on the estimated accuracy of signal subspace, a new direction of arrival(DOA) estimation method of wideband source, which is based on iterative adaptive spectral reconstruction, is proposed. Firstly, the wideband signals are divided into several narrowband signals of different frequency bins by discrete Fourier transformation(DFT). Then, the signal matched power spectrum in referenced frequency bins is computed, which can form the initial covariance matrix. Finally, the linear restrained minimum variance spectral(Capon spectral) of signals in other frequency bins are reconstructed using sequential iterative means, so the DOA can be estimated by the locations of spectral peaks. Theoretical analysis and simulation results show the proposed method based on the iterative spectral reconstruction for the covariance matrices of all sub-bands can avoid the problem of determining the signal subspace accurately with the coherent signal subspace method under the conditions of small samples and low signal to noise ratio(SNR), and it can also realize full dimensional focusing of different sub-band data, which can be applied to coherent sources and can significantly improve the accuracy of DOA estimation.

关键词： direction of arrival(DOA) wideband source coherent source minimum variance spectral

Resource allocation optimization of equipment development task based on MOPSO algorithm

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Journal of Systems Engineering and Electronics 2019年第6期30卷 1132-1143页

作者： ZHANG Xilin TAN Yuejin and yang zhiwei College of Systems Engineering National University of Defense TechnologyChangsha 410073China Business School Jiangsu Normal UniversityXuzhou 221116China

Resource allocation for an equipment development task is a complex process owing to the inherent characteristics,such as large amounts of input resources,numerous sub-tasks,complex network structures,and high degrees of *** paper presents an investigation into the influence of resource allocation on the duration and cost of *** models are constructed for the relationships of the resource allocation quantity with the duration and cost of the *** considering the uncertainties,such as fluctuations in the sub-task duration and cost,rework iterations,and random overlaps,the tasks are simulated for various resource allocation *** shortest duration and the minimum cost of the development task are first formulated as the objective *** on a multi-objective particle swarm optimization(MOPSO)algorithm,a multi-objective evolutionary algorithm is constructed to optimize the resource allocation scheme for the development ***,an uninhabited aerial vehicle(UAV)is considered as an example of a development task to test the algorithm,and the optimization results of this method are compared with those based on non-dominated sorting genetic algorithm-II(NSGA-II),non-dominated sorting differential evolution(NSDE)and strength pareto evolutionary algorithm-II(SPEA-II).The proposed method is verified for its scientific approach and *** case study shows that the optimization of the resource allocation can greatly aid in shortening the duration of the development task and reducing its cost effectively.

关键词： resource allocation equipment development task multi-objective particle swarm optimization(MOPSO) develop ment task simulation.

Multi-objective optimization of operation loop recommendation for kill web

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Journal of Systems Engineering and Electronics 2022年第4期33卷 969-985页

作者： yang Kewei XIA Boyuan CHEN Gang yang zhiwei LI Minghao College of Systems Engineering National University of Defense TechnologyChangsha 410073China

In order to improve our military ’s level of intelligent accusation decision-making in future intelligent joint warfare, this paper studies operation loop recommendation methods for kill web based on the fundamental combat form of the future, i.e.,“web-based kill,” and the operation loop theory. Firstly, we pioneer the operation loop recommendation problem with operation ring quality as the objective and closed-loop time as the constraint, and construct the corresponding planning ***, considering the case where there are multiple decision objectives for the combat ring recommendation problem,we propose for the first time a multi-objective optimization algorithm, the multi-objective ant colony evolutionary algorithm based on decomposition(MOACEA/D), which integrates the multi-objective evolutionary algorithm based on decomposition(MOEA/D) with the ant colony algorithm. The MOACEA/D can converge the optimal solutions of multiple single objectives nondominated solution set for the multi-objective problem. Finally,compared with other classical multi-objective optimization algorithms, the MOACEA/D is superior to other algorithms superior in terms of the hyper volume(HV), which verifies the effectiveness of the method and greatly improves the quality and efficiency of commanders’ decision-making.

关键词： multi-objective operation loop recommendation kill web ant colony evolutionary algorithm hyper volume(HV)

Scenario-based modeling and solving research on robust weapon project planning problems

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Journal of Systems Engineering and Electronics 2019年第1期30卷 85-99页

作者： XIA Boyuan ZHAO Qingsong yang Kewei DOU Yajie yang zhiwei College of Systems Engineering National University of Defense Technology

Weapon project planning(WPP) plays a critical role in the process of national defense development and establishment of the future national defense force. WPP faces the backgrounds of various uncertainties, intense inter-influence of weapon systems and involves modelling, assessment, and optimization *** contents of this paper are mainly divided into three parts: first,the WPP processes are analyzed, and related elements are formulated to transform the qualitative problem to mathematics form;second, the value evaluation model of WPP solutions is proposed based on two criteria of total capability gap and total capability dispersion; third, two robustness optimization models are constructed based on the absolute robustness criterion and the robustness deviation criterion to support the robustness optimization process under multi-scenario. Finally, a case is studied to examine the feasibility and effectiveness of the proposed models and approaches.

关键词： weapon project planning (WPP) uncertainty robustness multi-stage scenario.

Target location with signal fitting and sub-aperture tracking for airborne multi-channel radar

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Journal of Systems Engineering and Electronics 2010年第5期21卷 752-758页

作者： zhiwei yang Guisheng Liao Shun He Cao Zeng National Laboratory of Radar Signal Processing Xidian University Xi'an 710071 E R. China Communication and Information Engineering College Xi'an University of Science and Technology Xi'an 710054 E R. China

The location of a moving target based on signal fitting and sub-aperture tracking from an airborne multi-channel radar is dealt *** proposed approach is applied in two steps：first,the ambiguous slant-range velocity is derived with a modified single-snapshot multiple direction of arrival estimation method,and second,the unambiguous slant-range velocity is found using a track-based *** prominent advantage of the proposed approach is that the unambiguous slant-range velocity can be very ***,the first stage is carried out at the determinate range-Doppler test cell by azimuth searching for fitting best to the moving target signal,therefore,the location performance would not be sacrificed in order to suppress clutter and/or *** effectiveness and efficiency of the proposed method are validated with a set of airborne experimental data.

关键词： space-time adaptive processing(STAP) along track interferometry(ATI) ground moving target indication(GMTI).

Design of integrated radar and communication system based on MIMO-OFDM waveform

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Journal of Systems Engineering and Electronics 2017年第4期28卷 669-680页

作者： Yongjun Liu Guisheng Liao zhiwei yang Jingwei Xu National Laboratory of Radar Signal Processing Xidian University Xi’an 710071 China

Orthogonal frequency division multiplexing (OFDM) waveform enables radar and communication functions simultaneously, which encounters low angle resolution and poor data rate for traditional single input single output (SISO) systems. To solve these problems, an integrated radar and communication system (IRCS) with multiple input multiple output (MIMO) OFDM waveform is proposed. The different limitations of radar and communication in designing such a system are investigated. Then, an optimization problem is devised to obtain suitable system parameters, including the number of subcarriers, subcarrier spacing, number of symbols, pulse repetition frequency (PRF) and length of cyclic prefix (CP). Finally, to satisfy the requirements of both radar and communication, the IRCS parameters are derived in three typical cases. Several numerical results are presented to illustrate the demands of radar and communication, inconsistent or consistent, for the IRCS parameters and the superiority of the proposed system.

关键词： integrated radar and communication orthogonal frequency division multiplexing (OFDM) multiple input multiple output (MIMO) system parameter design

Experimental analysis of sea clutter using airborne circular scanning SAR in medium grazing angle

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Journal of Systems Engineering and Electronics 2019年第1期30卷 68-77页

作者： PAN Xueli LIAO Guisheng yang zhiwei DANG Hongxing National Laboratory of Radar Signal Processing Xidian University Academy of Space Electronic Information Technology

The theoretical statistical model of sea clutter is a key issue for maritime surveillance. In recent years, the statistical model of sea clutter has attracted much attention to design the detector well. Meanwhile, the circular scanning synthetic aperture radar(SAR) has been applied to wide surveillance of the sea ***, the paper analyzes the validity of available sea clutter models for range Doppler images from different scan angles for moderate sea state in the medium grazing angle. The parameter estimation method for different distribution models employs the method of logarithmic cumulant(MoLC) based on Mellin transform uniformly. By the analysis of the fitting performance between the histogram of real data and the amplitude probability density function(PDF) of empirical distribution models and the goodness-of-fit(GoF) test for real data from different scan angles, it is indicated the generalized K(GK) distribution with generalized Gamma texture distribution can fit the sea clutter well for different scan angles in the medium grazing angle.

关键词： range Doppler image method of logarithmic cumulant (MoLC) Mellin transform generalized Gamma distribution.

A deep reinforcement learning method for multi-stage equipment development planning in uncertain environments

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Journal of Systems Engineering and Electronics 2022年第6期33卷 1159-1175页

作者： LIU Peng XIA Boyuan yang zhiwei LI Jichao TAN Yuejin College of Systems Engineering National University of Defense TechnologyChangsha 410073China

Equipment development planning(EDP)is usually a long-term process often performed in an environment with high *** traditional multi-stage dynamic programming cannot cope with this kind of uncertainty with unpredictable *** deal with this problem,a multi-stage EDP model based on a deep reinforcement learning(DRL)algorithm is proposed to respond quickly to any environmental changes within a reasonable ***,the basic problem of multi-stage EDP is described,and a mathematical planning model is ***,for two kinds of uncertainties(future capabi lity requirements and the amount of investment in each stage),a corresponding DRL framework is designed to define the environment,state,action,and reward function for multi-stage *** that,the dueling deep Q-network(Dueling DQN)algorithm is used to solve the multi-stage EDP to generate an approximately optimal multi-stage equipment development ***,a case of ten kinds of equipment in 100 possible environments,which are randomly generated,is used to test the feasibility and effectiveness of the proposed *** results show that the algorithm can respond instantaneously in any state of the multistage EDP environment and unlike traditional algorithms,the algorithm does not need to re-optimize the problem for any change in the *** addition,the algorithm can flexibly adjust at subsequent planning stages in the event of a change to the equipment capability requirements to adapt to the new requirements.

关键词： equipment development planning(EDP) multi-stage reinforcement learning uncertainty dueling deep Q-network(Dueling DQN)