Entire DC Network | Open Access Articles | Digital Commons Network™

Vol. 64, No. 12 (April 10, 2023)

Indiana Law Annotated

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April 10, 2023 Faculty Senate Meeting – Final Agenda, Faculty Senate

Faculty Senate Agendas & Minutes

No abstract provided.

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2022-2023 Faculty Senate Xxvii - April 10, 2023 Minutes Summary, Faculty Senate

Faculty Senate Agendas & Minutes

No abstract provided.

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Student Insights Into Cbe, Ginger M. Reynolds

Reports, Analyses, and other Publications

No abstract provided.

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Revisiting Feminist Historiography On Women's Activism In Turkey: Beyond The Grand Narrative Of Waves, Sevgi Adak, Selin Cagatay

Faculty & Staff Publications

Recent contributions in feminist historiography challenge the reading of women's movements through the waves metaphor and destabilise rigid periodisations. These contributions have triggered debates about the way feminism and women's activism are analysed in the West, but their implications for feminist historiography in non-Western contexts have yet to be discussed. New studies, including our own, on Kemalist and socialist women's activisms suggest that the agendas affiliated with the post-1980 ‘second wave’ of feminism in Turkey had been raised prior to the 1980s. These findings call for critical engagement with the long-established idea that there have been two waves of women's …

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A Ferritin Nanoparticle-Based Zika Virus Vaccine Candidate Induces Robust Humoral And Cellular Immune Responses And Protects Mice From Lethal Virus Challenge, Aryamav Pattnaik, Bikash R. Sahoo, Lucas R. Struble, Gloria E. O. Borgstahl, You Zhou, Rodrigo Franco, Raul G. Barletta, Fernando A. Osorio, Thomas M. Petro, Asit K. Pattnaik

School of Veterinary and Biomedical Sciences: Faculty Publications

The severe consequences of the Zika virus (ZIKV) infections resulting in congenital Zika syndrome in infants and the autoimmune Guillain–Barre syndrome in adults warrant the development of safe and efficacious vaccines and therapeutics. Currently, there are no approved treatment options for ZIKV infection. Herein, we describe the development of a bacterial ferritin-based nanoparticle vaccine candidate for ZIKV. The viral envelope (E) protein domain III (DIII) was fused in-frame at the amino-terminus of ferritin. The resulting nanoparticle displaying the DIII was examined for its ability to induce immune responses and protect vaccinated animals upon lethal virus challenge. Our results show that …

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Analysis Of Influencing Factors Of Power Optimization Modes In Distribution Network Containing Distributed Generations, Yuqi Ji, Tao Wang, Shaoyu Shi, Nan Jin, Cunxiang Yang, Ping He

Journal of Electric Power Science and Technology

With the grid connection of large scale distributed generations, the regulation and control of distribution network becomes more diversified. Under the circumstance, the key influence factors of the decoupling optimization and coordinated optimization of active and reactive power is investigated. Firstly, an analysis method considering the influence of the changing of power source, network, and load on the power optimization of distribution network is proposed for problem of the power optimization for distribution network containing distributed generation. Then, based on the two power optimization models, the interaction mechanisms between power optimization and grid price, network parameters and load are analyzed. …

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Impulse Grounding Resistance Analysis Of Typical Tower Grounding Device Under Continuous Lightning Impulse, Yubin Liu, Chuanli Lei, Lisong Tang, Ziyang Feng, Lixing Zhou

Journal of Electric Power Science and Technology

In order to analyze the impulse characteristics of tower grounding device under continuous lightning impulse, continuous impact tests of typical grounding bodies with different soils, materials and shapes are carried out. Under continuous pulse impact, with the increase of impulse time interval, the secondary impact grounding resistance increases from the lower value at soil breakdown to the single pulse impact grounding resistance. However, within a certain time interval, the secondary impulse grounding resistance of grounding device in soil with less water content is significantly greater than that of single pulse impulse. The secondary impulse grounding resistances of grounding bodies with …

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Research On Comprehensive Trading Decision Of Renewable Energy In Power Market Considering The Risk Aversion And Demand Response, Hao Chen, Lin Tian, Jiansheng Sheng, Yunyong Zhang, Ren Li

Journal of Electric Power Science and Technology

The proportion of renewable energy in the supply side of the electricity market is gradually expanding, whilst its supply uncertainty increases the risk of electricity market trading. Under the background, an integrated trading strategy is proposed considering the day?ahead electricity price and supply uncertainty. Firstly, renewable energy aggregators utilize the demand response to deal with the uncertainty of electricity production. Then, they make a contract with demand response operators by comprehensively considering the contractual settlement price and activation charge of demand response. After that, the power is transferred according to demand. The cost of demand response switching to different times …

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Optimization Strategy For Interactive Operation Of Regenerative Electric Heating And Wind Power Considering User Satisfaction, Gaoqiang Qu, Fei Guo, Dongsheng Dang, Qingping Zhang, Yiming Han, Baohao Gao

Journal of Electric Power Science and Technology

With the strategic goal of developing "double carbon", it is required to further promote the large?scale integration of wind and solar power as the main source of clean energy. In order to improve the wind power consumption capability and reduce the wind power curtailment, a interactive optimization operation model of regenerative electric heating and wind power considering user satisfaction is proposed. Firstly, the operation principle of regenerative electric heating equipment participating with wind power is analyzed; then, a multi?objective optimization model for the combined operation of regenerative electric heating and wind power is established considering wind power consumption, economical property …

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An Evaluation Method Of Active Distribution Network Resilience Considering The Distributed Energy Resources, Changshu Tan, Yan Li, Jie Tian, Weiyu Ming, Yan Li, Shaorong Wang

Journal of Electric Power Science and Technology

A reasonable comprehensive evaluation of distribution network resilience can reflect the ability of distribution network to restore power supplies when random faults occur, which is also helpful to diagnose the performances of different countermeasures for a higher resilience and lower losses. According to the mutual impacts by network nodes under different random faults, one comprehensive evaluation method for the resilience of active distribution networks (ADN) is presented to handle such an uncertainty. Firstly, three resilience indexes: fault recovery time, outrage time and energy loss percentage is established to comprehensively evaluate the resilience of node. Aiming at quantitatively rating the interactive …

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Estimation Method Of Security Region Boundary Of 10 Kv Line Head End Load, Wei Zhu, Qi Gao, Aiyuan Li, Yanyao Zhou

Journal of Electric Power Science and Technology

Due to bus bar function of single?ended injection for 10 kV main line, the end?terminal is prone to suffering low voltage problems. Transforming the main line voltage drop constraint into the outlet load constraint can provide great convenience for the safe operation and planning of power grid. Therefore, an estimation method of the first?end load security region boundary is proposed in this paper. Aiming at the numerous station loads along the line, a torque method for rapid estimation of the voltage drop across the main line basing on segmented voltage drop characteristics is proposed. Then the actual station load distribution …

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Non‑Intrusive Load Disaggregation Based On Multiple Optimization Of Appliance Features And Cnn‑Nlstm Model, Jiaju Wang, Junping Wang, Tai Bai, Ran Zhang, Yihui Ding, Lin Yang, Shu Zhang

Journal of Electric Power Science and Technology

Non?intrusive load disaggregation technology can effectively mine the appliance information of customers, which is the basis to carry out interactive customer load response by the grid company. The conventional non?intrusive load disaggregation technology has several drawbacks, such as limited scope of application and low accuracy. In this paper, a non?intrusive load disaggregation model with multiple optimization selection of appliance characteristics is proposed. First, an adaptive sliding data window is designed for appliance operation characteristics to obtain a more complete power segment and to adjust the network input and output dimensions. Second, the appliance features can be extracted and deepened by …

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Optimal Placement Of Energy Storage In A Regional Integrated Energy System Considering Electric And Thermal Demand Responses, Renjun Zhou, Yanrong Wu, Xuan Pan, Haifeng Yu, Shiyao Jiang, Ting Wen

Journal of Electric Power Science and Technology

The application of energy storage optimization configuration and demand?side response in the integrated energy system can decouple the constraints of "heating to determine power" in the operation of combined heat and power (CHP) units, and improve energy utilization efficiency. Therefore, taking the performance of power generation, heating, electricity consumption and heat consumption on both sides of the source and charge into account, installing the electricity?heat energy storage equipment on the source side to realize the thermoelectric decoupling of CHP, and fully utilizing the dispatching value of the electricity?heat integrated demand response (IDR) resources on the load side, an optimal configuration …

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A Novel Classificiation Method For Power Quality Disturbance Based On Deep Belief Network, Kang Wang, Yanhui Xi, Kang Hu

Journal of Electric Power Science and Technology

Aiming at the problem that the recognition accuracy of multiple disturbances is not high under noise interference, a new classification method of power quality disturbances based on deep belief network is proposed. Firstly, the stationary wavelet multi?scale transformation is performed on the power quality disturbance signal, and then the soft threshold function is used to process the estimated wavelet coefficients to reconstruct the original signal, thereby realizing the denoising of the power quality disturbance signal. Moreover, it is further proposed to use the deep belief network to classify and identify the reconstructed single disturbance signal and multiple disturbance signals. The …

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Optimally Selected Objective And Model Predictive Control Based Optimal Strategy Of Wind Power With Energy Storage, Xiao Yan, Shan Cheng, Xianwang Zuo, Kanglin Wei

Journal of Electric Power Science and Technology

Aiming at the problem that the wind storage system's power fluctuation suppression effect is unsatisfactory, the wind storage system's operation is optimized. Considering the time series coupling characteristics of wind storage system operation and the influence of future wind power fluctuation on the energy storage system (ESS), an optimization strategy based on stabilizing target optimization method and model predictive control (MPC) is proposed. Firstly, the expected grid?connected power is calculated according to the predicted wind power and the constraints of ESS, and the local prediction accuracy is introduced to correct it. Then, combined with the current state of charge (SOC) …

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A Mid/Long‑Term Power System Production Simulation Approachconsidering Charging Load Of Electric Vehicles, Xingyu Tao, Jianwei Yang, Mutong Niu, Yueping Xiang, Kai Liao, Zhengyou He

Journal of Electric Power Science and Technology

The increasing charging load of electric vehicles will have an impact on the economy operation and reliability of the power system. Power system production simulation is an important analysis method of cost and reliability , and it is necessary to consider such charging loads. Firstly, based on the impact of the temperature, the charging load prediction model of electric vehicles is established by the Monte Carlo sampling method. Then, in a continuous load model for electric vehicles to pursuit the lowest annual production and operation cost of the system. The factors such as maintenance plan, start and stop cost, and …

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Multi‑Class Electricity Theft Detection Based On The Cnn‑Lstm Hybrid Model, Jinjin Li, Jueyu Chen, Keying Huang

Journal of Electric Power Science and Technology

This paper addresses the difficulty of the accurately detecting electricity theft in complex grid environment and proposes a multi?category electricity theft detection method based on CNN?LSTM hybrid model. Firstly, the excellent feature abstraction ability of convolutional neural networks (CNN) is utilized to extract the non?periodic local features of one?dimensional electricity consumption data. Then, the long short?term memory (LSTM) is adopted to capture the correlation between daily power consumption data and extract periodic power consumption features to establish feature fusion layer network. After that, the feature vectors extracted by CNN and LSTM are horizontally splicing to obtain a new fusion vector. …

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Multi‑Type Energy Storage Collaborative Control Based On Wave Parameters In Microgrids With Combined Heat And Power System, Jianyong Zhao, Zhenxiao Zhang, Jun Kang, Wenqiang Zhao, Ziwei Yu, Guobin Lei, Jun Zhou

Journal of Electric Power Science and Technology

To deal with the power fluctuation and the consumption of photovoltaic power generation with the premise of the demand of power supply and heating in northwest China, this paper studies the collaborative control of multi?types of energy storage based on fluctuation parameters by taking the electric?thermal joint micro?network composed of photovoltaic, heat pump and hybrid energy storage as the research object. Firstly, the characteristics and energy conversion mode of electro?thermal joint microgrid are analyzed. Then, a two?layer collaborative control strategy of multi?type energy storage based on fluctuation parameters is designed for the electro?thermal joint micro?grid. In the upper layer, a …

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Optimal Siting And Sizing Of Distributed Energy Storage In Distribution Networks Considering Isolated Islanding Duration Uncertainty, Fan Yang, Yuan Hu, Liang Zhang, Zheng Xu, Zhi Wu, Wei Gu

Journal of Electric Power Science and Technology

This paper proposes an optimal siting and sizing method for distributed energy storage in distribution networks considering islanding duration uncertainty. The uncertainty of the islanding duration is described based on robust optimization, which improves the ability of islanding operation and guarantees the un interrupted power supply of important loads. The planning model aims to minimize the sum of the annual investment cost of energy storage, the annual power purchase cost of the distribution network, and the operation and maintenance cost of energy storage, the configuration and operation constraints of distributed energy storage, photovoltaic output constraints, distribution network flow constraints, grid …

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Action Characteristic Analysis And Improvement Measures Of The Distance Protection Using Power Frequency Variable Components In Ac/Dc Hybrid System, Jianxun Liu, Fengting Li, Chao Xie, Yushan Liu

Journal of Electric Power Science and Technology

The characteristics of AC/DC hybrid system faults are different from those of AC systems, which will affect the reaction of traditional AC protections. For the power frequency variation distance protection, firstly, the variation range of equivalent impedance angle of protection back system is analyzed from the perspective of quadrants, and then its action characteristics are further assessed. The results show that the protection range of power frequency variation distance protection in AC/DC hybrid system will be reduced, the anti?transition resistance capacity will be weakened, and the protection range may be completely lost in some extreme cases. To solve this, the …

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An Electric Vehicle Charging Station Planning Method Considering Traffic Congestion, Longlong Shang, Junjie Cheng, Wei Wang, Xiaofu Xiong, Hai Ci, Jian Li, Xingtian Chen

Journal of Electric Power Science and Technology

The planning of electric vehicle charging stations needs to consider not only the cost of connecting to the power grid but also the convenience of electric vehicle users, as well as the impact of traffic congestion on user travel. Based on the spatial and temporal distribution characteristics of electric vehicles, an electric vehicle spatial?temporal distribution model is established. The impact of traffic congestion on the travel characteristics of electric vehicle users and the selection of charging stations is fully considered, and the electric vehicle entry capacity is calculated at different times. A mixed?integer second?order cone programming model is established to …

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Research On Optimal Dispatch Strategy Of Electric Heating Load Groups Considering User Behavior Difference And Distribution Network Power Flow, Tao Ma, Jin Li, Xiaobo Cao, Yuwei Ma, Yao Cai, Zhigang Lu

Journal of Electric Power Science and Technology

As a high?quality demand response resource, electric heating load groups can improve the operation of distribution network through optimization dispatch. In order to achieve reasonable dispatching of electric heating loads, an optimal strategy for electric heating load groups that takes into account user behavior difference and distribution network flow is proposed. At first, the prediction mechanism of the controllable capacity of electric heating load is analyzed. Secondly, according to the influencing factors of user demand response behavior, the users are integrated into multiple electric heating load aggregates, and the thermal comfort design and controllable capacity solution of each group are …

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Load Type Identification Method Of 10 Kv Transmission Line Clock‑Inaccuracy Metering Point Based On Bayesian Network, Yifan Qing, Qun Zhou, Renjian Zhang

Journal of Electric Power Science and Technology

The clock?inaccuracy at the load measuring point on the 10 kV line leads to an abnormal line loss rate, while the existing manual methods have the problems of low efficiency and low intelligence. Therefore, based on the fluctuation characteristics of line loss rate curve, a new method for identifying the load types of clock?inaccuracy metering points is proposed to fit the mapping relationship between load type and the clock?inaccuracy line loss rate by Bayesian network (BN). In order to solve the problem of lack of clock?inaccuracy samples, the metering clock deviation modules are respectively set for the load metering points …

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Comparative Study On Deep Embedded Clustering And Its Improved Methods Based On Node Daily Load Curve, Qian Chen, Jiawen Chen, Suying Wang, Rui Shi

Journal of Electric Power Science and Technology

Load node classification based on daily load curve is an important part of load modeling. The detailed and appropriate classification results retain the internal characteristics of load nodes and can improve the efficiency of power system simulation calculation. At present, the node clustering method based on artificial intelligence has made rapid progress. However, the overall adaptability to data deep feature extraction is still insufficient. This paper presents the daily load curve clustering method based on the improved deep embedded algorithm, which uses the ability of neural network to effectively extract the deep features of the data. Then, an improved method …

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Short‑Term Heavy Overload Forecasting Method Of Distribution Net Line Based On Cnn‑Gru With Attention Mechanism, Xiu Yang, Zhongyu Hu, Yingjie Tian, Haining Xie, Wentao Chen

Journal of Electric Power Science and Technology

With the increase of electricity demand, the heavy overload of distribution network lines during the peak period of electricity consumption becomes more serious, which increases the potential threats on the safety of grid operation. The short?term forecast of the heavy overload state of distribution lines is of great significance for rationally arranging the operation mode, for dispatch management, and for the safety operation of the line during peak load periods. This paper proposes a short?term forecast method for the heavy overload state of lines and a prediction model that CNN?GRU hybrid neural network with Attention mechanism. The historical load rate …

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Time‑Varying Deviation Correction Method Of Pmu Phase Difference At Both Ends Of The Line Based On Reactive Power Loss, Feiyang Xu, He Kong, Zhengwei Jiang, Lei Gu, Min Lu, Ancheng Xue

Journal of Electric Power Science and Technology

One of the advantages of the phasor measurement unit (PMU) is to provide synchronous phase angle data. However, due to factors such as abnormal time synchronization, device failures and other factors, some of the measured PMU phase angle data are abnormal, which could affect the PMU application. This paper proposes a method for correcting the time?varying deviation of PMU phase angle difference (PAD) at both ends of the line based on line reactive power loss. Firstly, based on the measured value and estimated value of the line reactive power loss, a single?time PAD deviation estimation model is constructed; Secondly, aiming …

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On‑Line Estimation And Suppression Technology Of Dc Microgrid Bus Impedance Based On Loop Gain, Fengxia Li, Fengming Li, Qingjuan Liu

Journal of Electric Power Science and Technology

In modern DC microgrids, distributed power sources are connected to the common DC bus through power electronic converters. Although the control loop of the converter has good stability margin, the interconnection of multiple converters may affect the microgrid dynamic performance and stability. Therefore, in order to ensure the required dynamic performance of the multi?converter system, a DC bus impedance peak estimation method based on the phase margin of the voltage loop is proposed in this paper. On this basis, an optimized control scheme for the DC bus impedance is further proposed. And through experiments to verify the effectiveness of the …

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Mechanism Analysis And Application Of Ambient Noise Decoupling Load Measurement And Identification Model, Xian Xu, Jinhang Zhou, Ying Wang, Peixuan Wu, Ting Zhou, Chao Lu

Journal of Electric Power Science and Technology

Load identification is an important part of power system simulation. In order to obtain accurate load identification dynamic parameters, scholars at home and abroad have done a lot of in-depth research on the reasonable construction of identification models. Firstly, on the basis of the traditional load model, two real-time dynamic parameter identification load models based on ambient noise are deduced, which realizes the decoupling of the input data sequence of the measurement and identification data in the calculation of the identification model. At the same time, it avoids the negative impact of the identification of the initial physical quantity redundancy …

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Safety Evaluation Of Transmission Lines Considering Meteorological Factors, Jinyu Wang, Zhe Li, Yun Liang, Gaojun Meng

Journal of Electric Power Science and Technology

The safe operation of transmission lines is an important basis for ensuring stable transmission of electric energy, and the safety is greatly affected by meteorological factors. In order to evaluate and improve the risk early warning capability in the transmission system, this paper proposes a transmission line safety evaluation model that takes into account meteorological factors. Firstly, according to the characteristics of the transmission line architecture, an evaluation index system reflecting the operation status of the transmission line is constructed. At the same time, a new graph model weighting method is proposed based on the principle of graph theory to …

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Full-Text Articles in Entire DC Network

Vol. 64, No. 12 (April 10, 2023)

Indiana Law Annotated

April 10, 2023 Faculty Senate Meeting – Final Agenda, Faculty Senate

Faculty Senate Agendas & Minutes

2022-2023 Faculty Senate Xxvii - April 10, 2023 Minutes Summary, Faculty Senate

Faculty Senate Agendas & Minutes

Student Insights Into Cbe, Ginger M. Reynolds

Reports, Analyses, and other Publications

Revisiting Feminist Historiography On Women's Activism In Turkey: Beyond The Grand Narrative Of Waves, Sevgi Adak, Selin Cagatay

Faculty & Staff Publications

School of Veterinary and Biomedical Sciences: Faculty Publications

Analysis Of Influencing Factors Of Power Optimization Modes In Distribution Network Containing Distributed Generations, Yuqi Ji, Tao Wang, Shaoyu Shi, Nan Jin, Cunxiang Yang, Ping He

Journal of Electric Power Science and Technology

Impulse Grounding Resistance Analysis Of Typical Tower Grounding Device Under Continuous Lightning Impulse, Yubin Liu, Chuanli Lei, Lisong Tang, Ziyang Feng, Lixing Zhou

Journal of Electric Power Science and Technology

Research On Comprehensive Trading Decision Of Renewable Energy In Power Market Considering The Risk Aversion And Demand Response, Hao Chen, Lin Tian, Jiansheng Sheng, Yunyong Zhang, Ren Li

Journal of Electric Power Science and Technology

Optimization Strategy For Interactive Operation Of Regenerative Electric Heating And Wind Power Considering User Satisfaction, Gaoqiang Qu, Fei Guo, Dongsheng Dang, Qingping Zhang, Yiming Han, Baohao Gao

Journal of Electric Power Science and Technology

An Evaluation Method Of Active Distribution Network Resilience Considering The Distributed Energy Resources, Changshu Tan, Yan Li, Jie Tian, Weiyu Ming, Yan Li, Shaorong Wang

Journal of Electric Power Science and Technology

Estimation Method Of Security Region Boundary Of 10 Kv Line Head End Load, Wei Zhu, Qi Gao, Aiyuan Li, Yanyao Zhou

Journal of Electric Power Science and Technology

Non‑Intrusive Load Disaggregation Based On Multiple Optimization Of Appliance Features And Cnn‑Nlstm Model, Jiaju Wang, Junping Wang, Tai Bai, Ran Zhang, Yihui Ding, Lin Yang, Shu Zhang

Journal of Electric Power Science and Technology

Optimal Placement Of Energy Storage In A Regional Integrated Energy System Considering Electric And Thermal Demand Responses, Renjun Zhou, Yanrong Wu, Xuan Pan, Haifeng Yu, Shiyao Jiang, Ting Wen

Journal of Electric Power Science and Technology

A Novel Classificiation Method For Power Quality Disturbance Based On Deep Belief Network, Kang Wang, Yanhui Xi, Kang Hu

Journal of Electric Power Science and Technology

Optimally Selected Objective And Model Predictive Control Based Optimal Strategy Of Wind Power With Energy Storage, Xiao Yan, Shan Cheng, Xianwang Zuo, Kanglin Wei

Journal of Electric Power Science and Technology

A Mid/Long‑Term Power System Production Simulation Approachconsidering Charging Load Of Electric Vehicles, Xingyu Tao, Jianwei Yang, Mutong Niu, Yueping Xiang, Kai Liao, Zhengyou He

Journal of Electric Power Science and Technology

Multi‑Class Electricity Theft Detection Based On The Cnn‑Lstm Hybrid Model, Jinjin Li, Jueyu Chen, Keying Huang

Journal of Electric Power Science and Technology

Multi‑Type Energy Storage Collaborative Control Based On Wave Parameters In Microgrids With Combined Heat And Power System, Jianyong Zhao, Zhenxiao Zhang, Jun Kang, Wenqiang Zhao, Ziwei Yu, Guobin Lei, Jun Zhou

Journal of Electric Power Science and Technology

Optimal Siting And Sizing Of Distributed Energy Storage In Distribution Networks Considering Isolated Islanding Duration Uncertainty, Fan Yang, Yuan Hu, Liang Zhang, Zheng Xu, Zhi Wu, Wei Gu

Journal of Electric Power Science and Technology

Action Characteristic Analysis And Improvement Measures Of The Distance Protection Using Power Frequency Variable Components In Ac/Dc Hybrid System, Jianxun Liu, Fengting Li, Chao Xie, Yushan Liu

Journal of Electric Power Science and Technology

An Electric Vehicle Charging Station Planning Method Considering Traffic Congestion, Longlong Shang, Junjie Cheng, Wei Wang, Xiaofu Xiong, Hai Ci, Jian Li, Xingtian Chen

Journal of Electric Power Science and Technology

Research On Optimal Dispatch Strategy Of Electric Heating Load Groups Considering User Behavior Difference And Distribution Network Power Flow, Tao Ma, Jin Li, Xiaobo Cao, Yuwei Ma, Yao Cai, Zhigang Lu

Journal of Electric Power Science and Technology

Load Type Identification Method Of 10 Kv Transmission Line Clock‑Inaccuracy Metering Point Based On Bayesian Network, Yifan Qing, Qun Zhou, Renjian Zhang

Journal of Electric Power Science and Technology

Comparative Study On Deep Embedded Clustering And Its Improved Methods Based On Node Daily Load Curve, Qian Chen, Jiawen Chen, Suying Wang, Rui Shi

Journal of Electric Power Science and Technology

Short‑Term Heavy Overload Forecasting Method Of Distribution Net Line Based On Cnn‑Gru With Attention Mechanism, Xiu Yang, Zhongyu Hu, Yingjie Tian, Haining Xie, Wentao Chen

Journal of Electric Power Science and Technology

Time‑Varying Deviation Correction Method Of Pmu Phase Difference At Both Ends Of The Line Based On Reactive Power Loss, Feiyang Xu, He Kong, Zhengwei Jiang, Lei Gu, Min Lu, Ancheng Xue

Journal of Electric Power Science and Technology

On‑Line Estimation And Suppression Technology Of Dc Microgrid Bus Impedance Based On Loop Gain, Fengxia Li, Fengming Li, Qingjuan Liu

Journal of Electric Power Science and Technology

Mechanism Analysis And Application Of Ambient Noise Decoupling Load Measurement And Identification Model, Xian Xu, Jinhang Zhou, Ying Wang, Peixuan Wu, Ting Zhou, Chao Lu

Journal of Electric Power Science and Technology

Safety Evaluation Of Transmission Lines Considering Meteorological Factors, Jinyu Wang, Zhe Li, Yun Liang, Gaojun Meng

Journal of Electric Power Science and Technology