Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621747
Muhan He, Ye Liu, Hao Liu, Donghao Gu
In this article, a new type of bidirectional DC-DC converter with ultra-high voltage conversion capability applied in the field of energy storage systems is proposed. The new converter consists one inductor, two capacitors, and four power semiconductors. Compared with the traditional buck-boost converter, the proposed topology doubles the effective duty cycle, and can obtain a higher voltage gain without using extreme duty cycles. In addition, lower voltage stress of semiconductor devices can also be achieved. The control strategy is uncomplicated due to the simple structure. The steady-state analysis and small signal analysis of the topology in continuous conduction mode are introduced in detail, and the voltage stress of the components in the topology is deduced. The novel structure compared with the structure in the existing literature, it shows the excellent performance of the proposed converter. Finally, a 4S-400V/400-48V simulation model was established to verify the reliability and correctness of the proposed topology.
{"title":"A Novel High Step-up/Step-down Transformer-Less Bidirectional DC-DC Converter for Energy Storage Systems","authors":"Muhan He, Ye Liu, Hao Liu, Donghao Gu","doi":"10.1109/ICPSAsia52756.2021.9621747","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621747","url":null,"abstract":"In this article, a new type of bidirectional DC-DC converter with ultra-high voltage conversion capability applied in the field of energy storage systems is proposed. The new converter consists one inductor, two capacitors, and four power semiconductors. Compared with the traditional buck-boost converter, the proposed topology doubles the effective duty cycle, and can obtain a higher voltage gain without using extreme duty cycles. In addition, lower voltage stress of semiconductor devices can also be achieved. The control strategy is uncomplicated due to the simple structure. The steady-state analysis and small signal analysis of the topology in continuous conduction mode are introduced in detail, and the voltage stress of the components in the topology is deduced. The novel structure compared with the structure in the existing literature, it shows the excellent performance of the proposed converter. Finally, a 4S-400V/400-48V simulation model was established to verify the reliability and correctness of the proposed topology.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125146195","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}
A self-healing system based on double-loop network connection mode is proposed in order to further improve the power supply reliability of 10kV distribution network. The model has good distributed generation(DG) access and low-carbon environmental characteristics. Firstly, this study analyzes the advantages of diamond distribution network, focuses on the structure and configuration of self-healing system. Moreover, expounds its principle from the aspects of protection action strategy, device function development and cooperation with original protection. The reliability and accuracy of the self-healing system are verified by dynamic model test and on-site joint adjustment results. Finally, as a consequence, some problems and solutions encountered in the process of installation, commissioning and operation and maintenance are summarized, which can provide some reference for the promotion and application in the future.
{"title":"Research and Application of Diamond Distribution Network Self-Healing System","authors":"Chenhong Huang, Yuanbing Xiao, J. Lu, Huamin Yan, Mingzhu Ren, Jingde Chen","doi":"10.1109/ICPSAsia52756.2021.9621730","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621730","url":null,"abstract":"A self-healing system based on double-loop network connection mode is proposed in order to further improve the power supply reliability of 10kV distribution network. The model has good distributed generation(DG) access and low-carbon environmental characteristics. Firstly, this study analyzes the advantages of diamond distribution network, focuses on the structure and configuration of self-healing system. Moreover, expounds its principle from the aspects of protection action strategy, device function development and cooperation with original protection. The reliability and accuracy of the self-healing system are verified by dynamic model test and on-site joint adjustment results. Finally, as a consequence, some problems and solutions encountered in the process of installation, commissioning and operation and maintenance are summarized, which can provide some reference for the promotion and application in the future.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123038214","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}
Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621735
Qingsong Zhao, Jianyuan Xu, Wende Wang, Feng Sun
This paper presents an improved firework algorithm to efficiently conFigure the virtual inertia for AC/DC hybrid microgrids with distributed energy and high penetration, which can solve the problem of efficient utilization of virtual inertia resources in hybrid microgrid. Firstly, the virtual inertia configuration evaluation model of hybrid microgrids is derived and established. Additionally, to reduce the difficulty of inertia optimization configuration, this paper converts the inertia configuration optimization problem from non-convex to convex optimization. Thirdly, this paper mainly optimizes the particle selection method of the firework algorithm, and introduces the vector optimization domain to directionally select the particles in the optimal domain. Finally, compared with the traditional firework algorithm, the simulation results of the improved firework algorithm has stronger ability to find optimized areas and more accurate performances.
{"title":"Research on Virtual Inertia of AC/DC Hybrid Microgrids Based on the Firework Algorithm","authors":"Qingsong Zhao, Jianyuan Xu, Wende Wang, Feng Sun","doi":"10.1109/ICPSAsia52756.2021.9621735","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621735","url":null,"abstract":"This paper presents an improved firework algorithm to efficiently conFigure the virtual inertia for AC/DC hybrid microgrids with distributed energy and high penetration, which can solve the problem of efficient utilization of virtual inertia resources in hybrid microgrid. Firstly, the virtual inertia configuration evaluation model of hybrid microgrids is derived and established. Additionally, to reduce the difficulty of inertia optimization configuration, this paper converts the inertia configuration optimization problem from non-convex to convex optimization. Thirdly, this paper mainly optimizes the particle selection method of the firework algorithm, and introduces the vector optimization domain to directionally select the particles in the optimal domain. Finally, compared with the traditional firework algorithm, the simulation results of the improved firework algorithm has stronger ability to find optimized areas and more accurate performances.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131461451","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}
Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621751
Zhen Wei, J. Cai, Huan Zheng, Zhuolin Chen, Zhanghuang Zhang, Ren Liu
Energy data is the basic carrier for realizing energy supervision and promoting the market-oriented reform of the energy system. Besides, it is also an effective means to promote the transformation and upgrading of the energy system. Specially, the value mining and utilization of massive energy data depends on the scientific and efficient classification of energy data resources. Firstly, the composition and characteristics of energy data is analyzed. Secondly, combining the research results of bibliography and related public domain data resource classification, the principles and methods of energy data resource classification is presented. Finally, a classification system for energy data resources has been constructed to provide a data foundation for the digital transformation of the energy industry.
{"title":"Research on the Infrastructure for Data Resource Classification in the Energy Industry under Digital Transformation","authors":"Zhen Wei, J. Cai, Huan Zheng, Zhuolin Chen, Zhanghuang Zhang, Ren Liu","doi":"10.1109/ICPSAsia52756.2021.9621751","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621751","url":null,"abstract":"Energy data is the basic carrier for realizing energy supervision and promoting the market-oriented reform of the energy system. Besides, it is also an effective means to promote the transformation and upgrading of the energy system. Specially, the value mining and utilization of massive energy data depends on the scientific and efficient classification of energy data resources. Firstly, the composition and characteristics of energy data is analyzed. Secondly, combining the research results of bibliography and related public domain data resource classification, the principles and methods of energy data resource classification is presented. Finally, a classification system for energy data resources has been constructed to provide a data foundation for the digital transformation of the energy industry.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121790986","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}
Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621625
Chenhao Gai, Yanzhao Chang, T. Xu, Changgang Li
Emergency load shedding (ELS) is an essential measure to keep system stability. Due to the high cost of load shedding, minimizing the amount is always the goal while satisfying security requirements. The optimization problem is highly nonlinear and can be solved with heuristic algorithms by generating a large number of candidates. However, it is time-consuming to check the feasibility of each candidate by numerical simulation. To address this issue, this paper presents an accelerated ELS optimization method based on surrogate-assisted differential evolution (SADE). The optimization process is driven by differential evolution (DE). Radial basis function (RBF) neural network is adopted as the surrogate model to replace the numerical simulation for checking the security constraints. Only the most promising candidates pre-screened by RBF are evaluated by numerical simulation. The validity of the proposed ELS optimization method is verified with a provincial power system.
{"title":"Optimization of Emergency Load-Shedding Based on Surrogate-Assisted Differential Evolution","authors":"Chenhao Gai, Yanzhao Chang, T. Xu, Changgang Li","doi":"10.1109/ICPSAsia52756.2021.9621625","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621625","url":null,"abstract":"Emergency load shedding (ELS) is an essential measure to keep system stability. Due to the high cost of load shedding, minimizing the amount is always the goal while satisfying security requirements. The optimization problem is highly nonlinear and can be solved with heuristic algorithms by generating a large number of candidates. However, it is time-consuming to check the feasibility of each candidate by numerical simulation. To address this issue, this paper presents an accelerated ELS optimization method based on surrogate-assisted differential evolution (SADE). The optimization process is driven by differential evolution (DE). Radial basis function (RBF) neural network is adopted as the surrogate model to replace the numerical simulation for checking the security constraints. Only the most promising candidates pre-screened by RBF are evaluated by numerical simulation. The validity of the proposed ELS optimization method is verified with a provincial power system.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127698295","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}
Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621557
Qin Deng, Pan Xu, T. Zang
Due to Direct Current (DC) has no periodic zero crossing, the arc is difficult to extinguish by itself. To prevent grounding insulator surface flashover, a protective gap is set on the grounding insulator. The Claw arcing horns are one of the protection gap devices and produce DC arc. In this study, the simulation model of Claw arcing horns is established, based on the Magneto Hydro Dynamics (MHD) theory. The arc development characteristics are analyzed, which is of maximum temperature and the corresponding time. The simulation results show that the minimum distance of its installation gap and the material of its electrode have a great influence on the DC arc. When the gap minimum distance between the gaps of its electrodes increases, the temperature of arc changes regularly. The minimum gap distance for this model is 3.5 mm. And the Claw arcing horns are made of copper, which is conducive to arc extinguishing. This study has guiding significance for the structural design and material selection of the arc extinguishing horn in DC grounding system.
{"title":"Simulation Analysis of DC Arc Extinguishing Characteristics of Arcing Horn","authors":"Qin Deng, Pan Xu, T. Zang","doi":"10.1109/ICPSAsia52756.2021.9621557","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621557","url":null,"abstract":"Due to Direct Current (DC) has no periodic zero crossing, the arc is difficult to extinguish by itself. To prevent grounding insulator surface flashover, a protective gap is set on the grounding insulator. The Claw arcing horns are one of the protection gap devices and produce DC arc. In this study, the simulation model of Claw arcing horns is established, based on the Magneto Hydro Dynamics (MHD) theory. The arc development characteristics are analyzed, which is of maximum temperature and the corresponding time. The simulation results show that the minimum distance of its installation gap and the material of its electrode have a great influence on the DC arc. When the gap minimum distance between the gaps of its electrodes increases, the temperature of arc changes regularly. The minimum gap distance for this model is 3.5 mm. And the Claw arcing horns are made of copper, which is conducive to arc extinguishing. This study has guiding significance for the structural design and material selection of the arc extinguishing horn in DC grounding system.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133030279","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}
Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621473
Dejian Yang, Liang Hua, Xinsong Zhang
This paper addresses a fast frequency support scheme of a doubly-fed induction generator (DFIG) based on overspeed de-loaded curve that is able to boost the frequency nadir and settling frequency, and reduce the maximum rate of change of frequency (ROCOF) with more efficiency. To address this, a novel power function is employed that increases the power to the torque limit and then decreases with the rotor speed toward to the maximum power point tracking operating conditions. Simulation results on various wind power penetrations clearly indicate that the proposed fast frequency support scheme is benefit to boost the frequency nadir and settling frequency, and reduce the ROCOF.
{"title":"Fast Frequency Support of a DFIG Based on Over-Speed De-loaded Curve","authors":"Dejian Yang, Liang Hua, Xinsong Zhang","doi":"10.1109/ICPSAsia52756.2021.9621473","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621473","url":null,"abstract":"This paper addresses a fast frequency support scheme of a doubly-fed induction generator (DFIG) based on overspeed de-loaded curve that is able to boost the frequency nadir and settling frequency, and reduce the maximum rate of change of frequency (ROCOF) with more efficiency. To address this, a novel power function is employed that increases the power to the torque limit and then decreases with the rotor speed toward to the maximum power point tracking operating conditions. Simulation results on various wind power penetrations clearly indicate that the proposed fast frequency support scheme is benefit to boost the frequency nadir and settling frequency, and reduce the ROCOF.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130308809","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}
The current support mechanism for CSP plants in China does not take into account the impact of offering and operating strategies on the economic value of CSP plants, which plays a crucial role for the viability of the CSP plant investment. This paper proposed a bi-level stochastic programming model investigating the market behavior and economic benefits of CSP plants under typical renewable energy support mechanisms. Firstly, four typical support mechanisms were introduced, and a cost-benefit model for the life-cycle of CSP plants was constructed. Secondly, a coordinated optimization of the operation and bidding model for CSP plants was established to study the market behavior of CSP plants under different mechanisms. Finally, the impact of key mechanism parameters on the economic benefit of CSP plants was quantitatively analyzed. The results have a certain reference value for the promotion of CSP support mechanisms.
{"title":"Optimal Offering and Operating Strategy of CSP Plants under Different Support Mechanisms","authors":"Zhicheng Ma, Qiang Zhou, Jinping Zhang, Dingmei Wang, Zhoubei Sun, Zheng Liang","doi":"10.1109/ICPSAsia52756.2021.9621408","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621408","url":null,"abstract":"The current support mechanism for CSP plants in China does not take into account the impact of offering and operating strategies on the economic value of CSP plants, which plays a crucial role for the viability of the CSP plant investment. This paper proposed a bi-level stochastic programming model investigating the market behavior and economic benefits of CSP plants under typical renewable energy support mechanisms. Firstly, four typical support mechanisms were introduced, and a cost-benefit model for the life-cycle of CSP plants was constructed. Secondly, a coordinated optimization of the operation and bidding model for CSP plants was established to study the market behavior of CSP plants under different mechanisms. Finally, the impact of key mechanism parameters on the economic benefit of CSP plants was quantitatively analyzed. The results have a certain reference value for the promotion of CSP support mechanisms.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114310029","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}
Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621462
Tengfei Ma, W. Pei, Hao Xiao, Guobin Zhang, Shengdong Ma
In this paper, a novel residential integrated demand response model is proposed, which enables residential consumers to participate in demand response programs not only by shifting appliances, but also through changing energy types they consumed. The integrated demand response is modeled from three levels, namely the interactions with utility grids, the flexibilities of power, cooling and heating demands and the optimal operation of smart energy hub. In order to demonstrate the effectives and advantages of integrated demand response, four contrastive cases are studied, and simulation results show that the integrated demand response can bring better economic and environmental benefits. Furthermore, a new evaluation index: electricity substitute ratio is also proposed to evaluate the integrated demand response capacity and potential.
{"title":"The Energy Management Strategies of Residential Integrated Energy System Considering Integrated Demand Response","authors":"Tengfei Ma, W. Pei, Hao Xiao, Guobin Zhang, Shengdong Ma","doi":"10.1109/ICPSAsia52756.2021.9621462","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621462","url":null,"abstract":"In this paper, a novel residential integrated demand response model is proposed, which enables residential consumers to participate in demand response programs not only by shifting appliances, but also through changing energy types they consumed. The integrated demand response is modeled from three levels, namely the interactions with utility grids, the flexibilities of power, cooling and heating demands and the optimal operation of smart energy hub. In order to demonstrate the effectives and advantages of integrated demand response, four contrastive cases are studied, and simulation results show that the integrated demand response can bring better economic and environmental benefits. Furthermore, a new evaluation index: electricity substitute ratio is also proposed to evaluate the integrated demand response capacity and potential.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114203443","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}
Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621742
Hanghang Liu, Juncheng Si, Yuanyuan Wang, W. Song, Yanbin Cai, Qi Liu, Xiaoyi Ma
Photovoltaic power generation is fluctuation and intermittent, and the grid-connected operation of large-scale photovoltaic power plants may have an impact on the safe and stable economic operation of the power system. An effective way to solve the problem is to make scientific forecasts of the output power of PV power plants. In this paper, Back Propagation (BP) and Radial Basis Function (RBF) neural network prediction models are established by using the historical values of actual power generation of Guhe Runneng Photovoltaic Power Station in Gaotang County of Liaocheng City in 2017. According to the characteristics of photovoltaic power fluctuation, the output power is treated as a set of digital signals for short-term PV power prediction, and a prediction model based on the Hilbert Huang Transform (HHT) power data decomposition is proposed. Through the analysis of an example, it can be concluded that after HHT, the prediction effect is significantly improved, and the accuracy of PV power prediction is improved. Moreover, compared with BP neural network, RBF neural network has smaller prediction error.
{"title":"Performance Improvement of Photovoltaic Power Forecasting Model Based on Hilbert Huang Transforsm","authors":"Hanghang Liu, Juncheng Si, Yuanyuan Wang, W. Song, Yanbin Cai, Qi Liu, Xiaoyi Ma","doi":"10.1109/ICPSAsia52756.2021.9621742","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621742","url":null,"abstract":"Photovoltaic power generation is fluctuation and intermittent, and the grid-connected operation of large-scale photovoltaic power plants may have an impact on the safe and stable economic operation of the power system. An effective way to solve the problem is to make scientific forecasts of the output power of PV power plants. In this paper, Back Propagation (BP) and Radial Basis Function (RBF) neural network prediction models are established by using the historical values of actual power generation of Guhe Runneng Photovoltaic Power Station in Gaotang County of Liaocheng City in 2017. According to the characteristics of photovoltaic power fluctuation, the output power is treated as a set of digital signals for short-term PV power prediction, and a prediction model based on the Hilbert Huang Transform (HHT) power data decomposition is proposed. Through the analysis of an example, it can be concluded that after HHT, the prediction effect is significantly improved, and the accuracy of PV power prediction is improved. Moreover, compared with BP neural network, RBF neural network has smaller prediction error.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116729233","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}
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