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Multi-Objective Optimization of Magnetic Parameters in Wireless Charging Coupler Based on Deep Belief Network

Multi-Objective Optimization of Magnetic Parameters in Wirel...

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International Conference on Electrical Machines and Systems (ICEMS)

作者： Yu Lan Jinhai Jiang Kai Song Fengshuo Yang Lin Sang Ke Wang Zhenjun Zhang Xuan Zhang Xuling Li School of Electrical Energineering and Automation Harbin Institute of Technology Harbin China State Key Laboratory of Smart Grid Protection and Operation Control Nari Technology CO. LTD. Nanjing China

The magnetic coupler is the core component of the wireless charging system. Its magnetic parameters have a significant effect on transmission performance. However, the current analytical models used for multi-objective optimization design are inadequate with poor calculation accuracy, leading to challenges in achieving comprehensive multi-objective optimal. This paper proposes an efficient fitness function modeling method for multi-objective optimization based on the deep belief network (DBN), enhancing both the design accuracy and optimization speed. Firstly, a three-dimensional magnetic circuit model is developed to consider the coil, magnetic core, and aluminum plate. Secondly, a loss correlation model of the magnetic coupler is established. Thirdly, the deep belief network (DBN) regression is utilized to obtain an accurate fitness characterization function. Finally, the fractional particle swarm optimization (FPSO) is applied to achieve the Pareto optimal solution of the magnetic coupler’s design parameters. In this work, the WPTI rectangular coil is taken as an illustrative example. An optimized design with a coupling coefficient of 0.23, transmission efficiency of 97.5%, and a weight of 9.6 kg is selected for experimental verification. The results demonstrate that the predicted values match the measurements with an error less than 5%.

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Reliability analysis of autonomous controllable protection device in power system

Reliability analysis of autonomous controllable protection d...

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International Conference on Power Electronics Systems and Applications (ICPESA)

作者： Chen. Li Qiu. Yutao Chen. Jianing Huang. Xuliang State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) Co. Ltd Nanjing China State Grid Zhe Jiang Electric Power Co .LTD. State Grid Zhejiang Electric Power Company Hangzhou Power Supply Company

ISBN: (数字)9781728188904

ISBN: (纸本)9781728188911

With the deepening of the concept of autonomous control in the power system, more and more attention is paid to the stability of the protection device itself. Compared with the primary equipment condition monitoring, the fault of the secondary protection device will be more concealed. This paper analyzes the factors affecting the reliability of protection devices, forms the life cycle prediction method of substation protection devices, and ensures the safe and stable operation of intelligent substation. Analyzed the reliability of the relay protection device related concepts, from the failure mechanism, through the establishment of joint aging failure based on the Arrhenius model and Weibull distribution model, and based on grid relay protection device, the data is using LM method for joint failure rate estimate the parameters of the model, get old equipment failure rate model of concrete, to determine the reliability of the protection device and the effective service life. An example shows that the model proposed in this paper can effectively predict the failure trend and life boundary of the device, and provide a theoretical basis for the daily maintenance of smart substation.

关键词： Analytical models Protective relaying Reliability theory Predictive models Power system stability Data models Power system reliability

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Research on Signal Extraction and control Strategy of Single-Phase PWM Rectifier in d-q Coordinate Frame

Research on Signal Extraction and Control Strategy of Single...

引用

International Conference on Wireless Power Transfer, ICWPT 2022

作者： Gong, Lieqian Fu, Guanggang Wang, Xin Tang, Mengyang Liao, Wu Miao, Yiru State Grid Wenzhou Power Supply Company Limited Wenzhou325000 China College of Electrical and Information Engineering Hunan University Changsha410082 China Key Laboratory of Smart Grid and Intelligent Control in Nanchong Southwest Petroleum University Nanchong637001 China Chengdu Guojia Electriacal Engineering Co. Ltd. Chengdu611756 China

ISBN: (纸本)9789819906307

There are some AC time-varying physical quantities in single-phase PWM rectifier, as a result, it is difficult to design control system. a current inner loop-voltage outer loop control strategy is implemented by establishing the math model in d-q synchronous frame. The grid voltage contains abundant harmonics, which seriously affects the detection accuracy of the voltage phase, and the virtual component of grid-side current cannot be directly sampled, so a discrete extraction method for the fundamental component of the grid voltage without phase-locked loop is proposed. Simulation and experimental results show that under different loads, the output voltage of the rectifier can accurately follow the given, and the dynamic performance is good. The grid-side current and electromotive force maintain unit power factor operation, which proves the virtual current detection method and control strategy proposed in this paper is feasibility and correctness. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Extraction

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Instantaneous Frequency Measurement and Tracking under Out of Step Oscillation

Instantaneous Frequency Measurement and Tracking under Out o...

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IEEE International Conference on smart grid and smart Cities (ICSGSC)

作者： Ke Su Cai Gan Feng Zhang Rong Rong Ji Sui Sheng Zheng Cheng Lin Xia Tian Yu Lan State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation State Grid Electric Power Research Institute NanJing China Ultra High Voltage Branch Company State Grid Zhejiang Powe Company HangZhou China NARI Group Corporation State Grid Eelectric Power Research Institute NanJing China

As an important operating parameter of the power system, the instantaneous frequency of the current can reflect the actual operating state of the current system, especially when the system is out of step. The characteristics of the current in the oscillation line are analyzed in this paper. An algorithm for measuring instantaneous frequency of current while power system swings is presented, based on the broad definition of angular frequency. According to the feature of the actual power system, a new method for measuring the instantaneous current frequency by real-time sampling is proposed. Finally, the algorithm is simulated on the model of the equivalent systems. When the system swings, the real-time frequency is gained by sampling the current in the line, combined with the frequency of the equivalent machine of both sides. It shows that the obtained current frequency is reasonable and effective, compared to the characteristics of the system.

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Optimal Scheduling of Thermoelectricity in Integrated Energy System Based on Waste Heat Recovery from Power to Gas and Flexible Thermoelectricity Ratio

Optimal Scheduling of Thermoelectricity in Integrated Energy...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Dongmei Yang Yu Gao Qi Wang Yan Chen Yuchen Guo Meng Wang the State Key Laboratory of Smart Grid Protection and Operation Control Nari Technology Co. Ltd. Nanjing China School of Nari Electric and Automation Nanjing Normal University Nanjing China

Aiming at the anti-peak shaving characteristics of wind power and the problem of wind curtailment caused by the ‘fixing electricity by heat’ of CHP units, an optimal scheduling method in integrated energy systems based on waste heat recovery from power to gas(P2G) and flexible thermoelectricity ratio in CHP is proposed. First, the P2G energy coupling mechanism and the feasibility of P2G waste heat recovery and utilization are analyzed. P2G equipment is introduced into the system and the remaining heat is recycled and utilized to promote wind power grid-connected consumption. Then, the principle of flexible thermoelectric ratio adjustment of CHP is analyzed, so that CHP can adjust the thermoelectric ratio following the trend of wind power output and the energy supply pressure of electric heat load, so as to improve the wind power consumption capacity of the system. Finally, the optimal scheduling model of the integrated energy system is constructed with the goal of minimizing the daily operating cost. The simulation example shows that the proposed scheduling method optimizes the thermoelectric coupling relationship of the system, effectively improves the wind power absorption capacity of the system, and has good social and economic benefits.

关键词： Couplings Cogeneration Optimal scheduling System integration Wind power generation Waste heat Heat recovery

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The Commonality of Economic Dispatch Models Based on Scenario/Interval

The Commonality of Economic Dispatch Models Based on Scenari...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Yishen Wang Renjie Wei Fengbin Sun Ruihan Zhang Tiechui Yao Lan Ren Future Science Park State Grid Smart Grid Research Institute Co Ltd Beijing China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education State Grid Smart Grid Research Institute Co Ltd Shandong University Jinan China

With the increasing penetration of renewable energy, how to maximize the acceptance of renewable energy on the basis of satisfying the economy security and reliability of the power system is an urgent problem to be solved. In this area, mathematical optimization methods such as robust optimization and stochastic optimization are generally used to construct models based on different uncertainty descriptions. Previous studies have shown that robust optimization has high computational efficiency but conservative results, while stochastic optimization has low computational efficiency but accurate results. Therefore, different studies will choose suitable methods based on the characteristics of the models to be constructed. However, existing studies have not thoroughly discussed whether there is a connection between the two methods. This paper first proposes an economic dispatch model based on scenario considering the admissible region of net load, and introduces a new affine strategy to transform this model into a deterministic form. Secondly, based on further exploration of the characteristics of economic dispatch models based on scenario/interval, the paper concludes that the two models are common when they are sufficiently precise. Finally, the correctness of the conclusion is verified on the IEEE-RTS system.

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Automatic Generation Method of Multi-Bays Graph In Power System based on Real-time Topological Model

Automatic Generation Method of Multi-Bays Graph In Power Sys...

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作者： Yuan Gao LianJie Chen Peng Si YunGuang Su CaiShen Fang Hua Xu Kun Huang NARI Group Corporation(State Grid Electric Power Research Institute) NARI Technology Co. Ltd. NARI Group Corporation(State Grid Electric Power Research Institute) NARI Technology Co. Ltd.State Key Laboratory of Smart Grid Protection and Control

Substation supervisory control is an essential part of power grid monitoring system. Besides the power flow between substations, the running states of the devices in substations are important to the staff in power grid. At present, the substation devices with their running states are drawn in electrical bay graphs, which are widely used in the power grid dispatching department. Traditional electrical bay graphs contain devices in only one substation and the drawing process of the graph relies on manual work. In this paper, an automatic generation method of multi-bay graph in power system based on real-time topological model is proposed. There are two stages in the method. In the first stage, necessary model information is obtained according to topology in real-time database. In the second stage, the bay features are firstly built in the method and the classification of the bays is achieved by these ***, a data structure of device tree is proposed and the automatic layout of devices is realized based on the data structure. Finally, automatic wiring of the devices is achieved from the perspective of aesthetic and objectivity. Experimental results show that the graph drawn by the proposed method could not only reflect the actual connection mode and running states of the substation devices but also show the power flow between these substations. The proposed drawing method could reduce manual operations and improve the work efficiency of the power grid staff.

关键词： Multi-Bays Graph Device Tree Automatic Layout Automatic Wiring

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Research on Screening Method of Operating Risk Points for Power System Pre-Dispatch

Research on Screening Method of Operating Risk Points for Po...

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Power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Yi Wang Ji Zhang Qingcheng Liu Ling Xu Xin Wu NARI Group Corporation (State Grid Electric Power Research Institude) Nanjing China NARI Technology Co. Ltd. Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China East China Branch of State Grid Corporation of China Shanghai China

As a concept proposed by the new generation dispatching and control system, pre-dispatch is a control method for accurately adapting to situation changes and operational risks of power grid operation in the future. Regarding the problem of power system security assessment under pre-dispatch, this paper proposes a multi-snapshot grid operating risk points screening method. Three models based on optimal power flow are employed for power flow analysis after the power grid operating status changes, then the power grid operation trend data is obtained. And after initial risk screening, possible operating risk points are obtained to form a risk data set. The proposed model is tested in the IEEE39-node system. The risk data sets screened by the three models are identical, which confirms the validity of the proposed model. The proposed method for screening operating risk points can provide dispatchers with a wide range of online auxiliary decision support.

关键词： Electrical engineering Power system protection Market research Power grids Data models Dispatching Safety

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Transient Stability Analysis of Paralleled grid-Forming Converters

Transient Stability Analysis of Paralleled Grid-Forming Conv...

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Energy, Power and Electrical Engineering (EPEE), International Conference on

作者： Kexin Yang Yanhong Bao Feng Wu Xiancheng Ren Jinlong Zhang Nanjing Normal University NARI Technology Co. Ltd. Nanjing China State Key Laboratory of Smart Grid Protection and Control NARI Technology Co. Ltd. Nanjing China

Interaction exists in multiple grid-forming converter parallel systems, resulting in different transient stability issues between multiple converter systems and single converter under large disturbances. During the current limiting period, the external characteristics of the grid-forming converter become current source, which causes three different external characteristic models of parallel converter. In this study, three models of parallel system were established, and the effect of different coupling power directions was analyzed based on the power angle curve. Further, the influence of different parameters of converter was discussed and three different cases of converter transient stability due to interaction was revealed. The interaction between converters is mainly determined by the coupling power direction. When the external characteristics of the converters are the same, the coupling power direction is mainly determined by the power angle. When the external characteristics are different, the coupling power direction is determined by the current limiting strategy. The correctness of the theoretical analysis was verified based on the PSCAD platform.

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Clustering of Photovoltaic Power Stations Based on the Improved AP Clustering Algorithm 49

Clustering of Photovoltaic Power Stations Based on the Impro...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Ding, Yawen Gao, Fei Jiang, Yingwei Hou, Kai Zhang, Donghui Shi, Xuewei College of Smart Energy Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai China Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Dept. of Electrical Engineering Shanghai China Nanjing China State Grid Jibei Zhangjiakou Wind and Solar Energy Storage and Transportation New Energy Co. Ltd Zhangjiakou China

ISBN: (纸本)9798350331820

To deal with the problem that uncertain parameter in Affinity Propagation (AP) clustering algorithm affects the clustering results, this paper proposes a clustering method based on AP clustering algorithm and Genetic Algorithm (GA) for Photovoltaic (PV) power stations. Firstly, the modeling of PV power stations is established and clustering index are determined according to the dynamic characteristics of PV power stations. Then the proposed method takes the silhouette index, which is used to evaluate the quality of the clustering result, as the fitness function of GA. The bias parameter placed on the main diagonal of the similarity matrix in the AP clustering algorithm is constantly iterated and updated until obtaining the optimization result. Finally, the studied case verifies the better clustering performance of the proposed method. The 20 PV power stations in the Taoling Substation can be simplified into three groups, reducing the complexity and calculation time for equivalent modeling. © 2023 IEEE.

关键词： Genetic algorithms

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