Weifeng Xu, Li-Guo Weng, Rong Yu, Deqiang Lian, Hao-Han Ying, Man Luo
{"title":"A Robustly Real-Time Economic Dispatch Strategy of Microgrids Considering Uncertainties","authors":"Weifeng Xu, Li-Guo Weng, Rong Yu, Deqiang Lian, Hao-Han Ying, Man Luo","doi":"10.1109/ICoPESA56898.2023.10141148","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10141148","url":null,"abstract":"The microgrid is considered to have promising development and practical application due to its characteristics of efficiency, economy and promoting the accommodation for renewable distributed generation (RDG). However, the uncertainties originated from the RDG pose challenges to the reliable operation and real-time management of microgrid. To cope with this problem, this paper proposes a real-time economic dispatch strategy of the microgrid by combining the model predictive control (MPC) and robust optimization (RO). The proposed robust MPC based strategy formulates the MPC optimization as a robust problem, which enables the real-time energy dispatch of the microgrid while ensuring its reliable operation. Meanwhile, the feedback update mechanism of MPC contributes to reduce the conservativeness of RO. In addition, the proposed solution considers the demand response (DR) of electricity load to further reduce operating cost. The effectiveness of the proposed solution is demonstrated by simulation experiments and comparison with the benchmark.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129668288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wang Qingyun, Jin Hui, Tu Wenhao, Pan Yichen, Ge Hongjuan, Chen Xinran
{"title":"Research on a New Type of 36 Pulse Aviation Variable Voltage Rectification Technology","authors":"Wang Qingyun, Jin Hui, Tu Wenhao, Pan Yichen, Ge Hongjuan, Chen Xinran","doi":"10.1109/ICoPESA56898.2023.10141231","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10141231","url":null,"abstract":"The 270V transformer rectifier is an important part of the power supply system of multi electric aircraft. With the development of multi pulse rectifier technology, conventional 36 pulse Transformer Rectifier Unit (TRU) requires a phase-shifting transformer with multiple windings on the secondary side and six groups of rectifier bridges, which has the disadvantages of complex structure and large voltage loss. In order to solve this problem, many scholars have carried out research on pulse multiplication technology. In this paper, based on the small capacity capacitor and autotransformer, an auxiliary auto fed half bridge circuit is proposed. By extracting the DC side pulse for ripple injection, the triple pulse multiplication of the 12 pulse TRU is achieved, and then a new 36 pulse TRU is constructed. The working principle, three modes and input/output performance of the new 36 pulse TRU are analyzed, and the turn ratio of the auxiliary autotransformer is optimized. The structure, composition and performance of new 36 pulse TRU and conventional 36 pulse TRU were compared. The results show that new 36 pulse TRU based on pulse multiplication technology has good performance, effectively simplifies the structure, and reduces the input side harmonic content and output ripple.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127091298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Photovoltaic Power Forecasting Model Based on the Fusion of Bagging Algorithm and Generalized Regression Neural Networks","authors":"Han Aoyang, Liu Tongtong, Wei Zhen, Meng Yuqing","doi":"10.1109/ICoPESA56898.2023.10140567","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10140567","url":null,"abstract":"Power prediction of photovoltaic (PV) power generation is very important for photovoltaic power generation to be connected to power grid. Based on this, this paper proposes a prediction model based on Bagging algorithm and GRNN to improve the prediction power of PV power generation. Generalized Regression Neural Network (GRNN) is a variant of Radial Basis Function Neural Network (RBFNN). Compared with RBFNN, GRNN has better nonlinear function approximation ability, and the network has higher robustness and fault tolerance. Bagging algorithm is a typical integrated learning algorithm, which can optimize the performance of a single prediction model. Through the simulation of an example, the simulation data show that the prediction model based on Bagging algorithm and GRNNs combination can obtain higher prediction accuracy.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129050558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gang Liu, Qilin Li, Jinsong Li, Jinhua Liu, Chengwei Chen
{"title":"Research on the Influence of Fault Grounding Resistance on Electrical Energy Information under Single-Phase Grounding Fault","authors":"Gang Liu, Qilin Li, Jinsong Li, Jinhua Liu, Chengwei Chen","doi":"10.1109/ICoPESA56898.2023.10140407","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10140407","url":null,"abstract":"The highest rate of single-phase grounding fault occurs in small-current grounding system, accounting for about 80% of the distribution network grounding faults, single-phase grounding fault routing methods are based on the identification of electrical energy information under single-phase grounding faults in the distribution network. Therefore, it is an important prerequisite for accurate single-phase grounding fault routing to obtain the change law of electrical energy information under different fault states. In this article , by establishing the simulation model of single-phase grounding fault in distribution network, we simulate and analyze the change law of electric energy information under 10 Ω, 100 Ω and 1000 Ω fault grounding resistance, and the results show that: with the increase of fault grounding resistance, the current amplitude of fault phase gradually decreases and the voltage amplitude gradually increases. Fault grounding resistance from 10 Ω to 1000 Ω process, the fault phase current amplitude from 476 A to 32.72 A, the current amplitude reduced by about 14 times. The fault phase voltage increases from 7.317 kV to 9.852 kV, and the voltage amplitude is close to the normal working voltage. The fault grounding resistance has a large impact on the electrical energy information of the distribution network.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131251814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal Design of Iron Core Loss for Ultra-high-speed Motor Based on Kriging Surrogate Model","authors":"Weifeng Zhang, Yan Yu, Keming Zhang, Ming Zhou","doi":"10.1109/ICoPESA56898.2023.10140441","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10140441","url":null,"abstract":"The increase in rotor temperature caused by eddy current loss significantly affects the performance of ultra-high-speed rotor. Therefore, the rotor eddy current loss must be comprehensively considered with the stator core loss during the optimal design process. The paper establishes a finite element model of ultra-high-speed motor core loss, uses the sensitivity analysis method based on Spearman rank correlation to systematically analyze the sensitivity of design parameters and reduce the number of design parameters, and establishes an optimization model based on rotor eddy current loss and stator core loss. The Latin square experimental design is adopted to obtain high-quality experimental samples, the Kriging surrogate model is established, and the genetic algorithm is applied to complete the optimal design. Finally, the optimization results are verified by finite element models. Results show that the stator core loss and rotor eddy current loss of the motor are greatly reduced.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132511079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal Planning of Integrated Energy System Considering Dynamics of Heat and Gas Networks","authors":"Qian Wang, Yi Wang, Qi Zhao","doi":"10.1109/ICoPESA56898.2023.10141458","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10141458","url":null,"abstract":"The integrated energy system (IES) has been studied in recent years to achieve higher energy efficiency. To minimize the total cost of investment and operation for IES, an optimal planning method for allocating Combined-Heat-Power (CHP) Unit considering the dynamics of heat and gas networks is proposed in this paper. Considering the dynamic characteristics of heat and gas networks, several differential equations are established, which describe the distribution of water temperature, gas density, velocity and pressure within pipelines. Then the Lax-Wendroff method is used to simplify the calculation and a more economical allocation result is achieved. The case study demonstrates the effectiveness of the proposed method.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133849352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Improved Artificial Neural Network Based Parameter Fault Diagnosis for Dual Boost Rectifier","authors":"Zhihua Ding, Yubo Sun, Yingfeng Huang, Jiaqiao Chen","doi":"10.1109/ICoPESA56898.2023.10140699","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10140699","url":null,"abstract":"To address the problem that the fault characteristics are not obvious and not easy to diagnose when parametric faults occur in the internal devices of power electronic converters, a new method of parameter identification based on improved artificial neural network (IANN) for fault diagnosis by data fitting is proposed. RReLU activation function and the hot restart stochastic gradient descent (SGDR) dynamic learning rate strategy are improved, and then the logical expressions of the input and output of the IANN are established to obtain the device parameters by fitting the sampled data and finally back-propagating from the neural network. The method requires a small number of data samples, requires no additional feature extraction methods, and is not affected by the operating conditions of the circuit. Taking the dual Boost rectifier as an example, the simulation platform was built for verification.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":" 14","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113951508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zihan Meng, Yu Zhang, S. Shi, Chenhui Song, Xinchi Wei, Jing Hu
{"title":"Research on the Automatic Control Method of Energy Storage for Wind Power Consumption","authors":"Zihan Meng, Yu Zhang, S. Shi, Chenhui Song, Xinchi Wei, Jing Hu","doi":"10.1109/ICoPESA56898.2023.10141183","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10141183","url":null,"abstract":"The state of charge of the energy storage device needs to be strictly controlled during wind power generation. Thus, it is necessary to research the automatic control method of the energy storage device for wind turbine generators that considers new energy consumption. First of all, considering the impact of the temperature of the working environment on the charge and discharge of the energy storage device, an improved second-order RC model of the energy storage device for wind turbine generators was designed. In the model, the impact of the terminal voltage on the charge and discharge of the energy storage device for wind turbine generators was described by controlling the series connection of the voltage source for voltage control and the fixed capacitor. Secondly, an ultra-short-term forecast model of wind power was designed based on the IGA-ANFIS algorithm for the ultra-short-term forecast of wind power for wind turbine generators. Finally, an automatic control strategy for the energy storage device was designed. Based on the actual state of charge of the energy storage device, the charge and discharge power in different areas was adjusted given the new energy consumption. The testing results showed that the MAE and RMSE of the grid-connected power indicators in this method saw a larger decrease compared with those under normal operation conditions, and all the decrease values fluctuated around 0.1. Also, the out-of-limit energy storage was avoided.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123854299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guanglin Sha, Lu Liu, Wenyuan Ma, Yunzhao Wu, Qing Duan, Wei Zhao, Xiaofeng Sun, Chengle Sun
{"title":"Research on Operation Mode and Parameter of a Multiple Ports Power Router for Industrial Park","authors":"Guanglin Sha, Lu Liu, Wenyuan Ma, Yunzhao Wu, Qing Duan, Wei Zhao, Xiaofeng Sun, Chengle Sun","doi":"10.1109/ICoPESA56898.2023.10141476","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10141476","url":null,"abstract":"This paper proposes a fuel cell grid-connected system based on multi-port energy router for industrial park. The economic mode, max power mode and high voltage ride-through mode are controlled by cooperation of both the grid tied three-phase converter and the battery port, thus the multi-port energy router can flexibly access the energy storage according to different operating conditions, which stabilizes the fuel cell output, making the system more efficient. In the case of power grid high-voltage fault, the energy storage device is used to raise the voltage of the DC bus, so that the system has the capability of high-voltage ride-through, and can run continuously without disconnecting the grid in the high-voltage state until the fault recovery. The control diagram of implementation and corresponding parameter design are carried out. The feasibility of the scheme is verified by simulation and experimental results.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124466429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Liang Peng, Jiangjing Wang, Hanwen Chen, Luyu Gui, Lei Chen
{"title":"Voltage Harmonic Suppression Method of Power Conversion System Based on CLCR Filter","authors":"Liang Peng, Jiangjing Wang, Hanwen Chen, Luyu Gui, Lei Chen","doi":"10.1109/ICoPESA56898.2023.10140837","DOIUrl":"https://doi.org/10.1109/ICoPESA56898.2023.10140837","url":null,"abstract":"The output voltage harmonics of power converters will seriously affect the power quality and system stability. Aiming at improving the output harmonic characteristics of power converters, this paper proposes a novel design method of CLCR-type filter. The proposed filter can decrease the volume of the passive filter and suppress both the differential-mode voltage and common-mode voltage. Based on the differential-mode equivalent circuit and common-mode equivalent circuit of the filter, the design method and limiting conditions of filter parameter are presented in this paper. Both analytical and experimental results indicate that the output harmonics of both differential-mode voltage and common-mode voltage can be reduced by the CLCR-type filter. Therefore, the power quality of the system with power converters is significantly improved.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129270586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}