{"title":"Short-Term Prediction of PV Power Based on Hybrid CNN-BiLSTM-Attention Model and VMD","authors":"Guozhu Li, Chenjun Ding, Ran Zhang, Yongkang Chen, Naini Zhao, Rongxin Zhu","doi":"10.1109/CEEPE58418.2023.10166282","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166282","url":null,"abstract":"Accurate and reliable energy forecasting has become a mainstream trend for solving the energy crisis. The potential of databases in energy forecasting is explored by using big data-driven methods. In this paper, we introduce the variational modal decomposition (VMD) to determine the best model for short-term PV power forecasting by comparing the accuracy between VMD and different combinations of models. Each model uses recursive multi-step prediction at the high level and one-dimensional convolutional networks, as well as long short-term memory networks (LSTM), bidirectional long short-term memory networks (Bi-LSTM), and attention mechanisms at the low level. We evaluate the performance of each model strategy by comparing their mean squared error and mean absolute error against the actual values. The final results show that the VMD decomposition method proposed in this paper has the best prediction accuracy in the combined CNN-Bi-LSTM-Attention model.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"505 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115158031","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":"Matrix Algorithm for the Fault Localization and Failback of Power Distribution Network Based on the Feeder Terminal Units","authors":"Yijun Zhou, Jiahong He, Xinrui Wang","doi":"10.1109/CEEPE58418.2023.10166288","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166288","url":null,"abstract":"Due to the increasingly requirement of power continuity, stability, and economy, a suitable algorithm is of significance to locate the fault accurately when the distribution network fails. Since the traditional undirected fault location algorithm has the limitation on the number of fault location and electrical power sources, the paper proposes a centralized fault localization algorithm based on the matrix operations. The algorithm solves the difficulty of locating multiple faults in the complex distribution network, and eliminates matrix multiplication with heavy computation. The corresponding diagrams of the distribution network are presented to verify the effectiveness of each algorithm and clarify the scope of application. In addition, the principles of failback are illustrated with practical situations encountered in the process of restoring power supply to non-fault areas.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"15 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127661428","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 Two-Level Allocation of Grid-Connected Capacity of PV Plants Based on Multi-state Modeling","authors":"Jinfeng Huang, Chengxi Li, Yucheng Mo, Jiefeng Mo, Jiang Lu, Zeli Ye","doi":"10.1109/CEEPE58418.2023.10166277","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166277","url":null,"abstract":"In the grid-connected system of independently operating photovoltaic power plants with a high proportion of access to renewable energy, the uncertainty and fluctuation of its output and load power, and the existence of waste of renewable energy, optimize the configuration of photovoltaic and energy storage capacity so that the operation of the whole photovoltaic power plant achieves the minimum investment construction cost and operation cost economy. A two-layer optimization model is used in capacity optimization planning. The outer model deals with PV output and load through multi-state theory to establish a capacity optimization model under an uncertainty framework, while the inner model considers operational costs and energy storage life loss during operation. Using the rain flow counting method to calculate the energy storage life, the various factors affecting the life of the energy storage equipment can be fully considered. A particle swarm two-layer optimization algorithm is used to calculate the energy storage capacity optimization for grid-connected systems of photovoltaic power plants, and the results verify the feasibility of this method.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133354131","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":"Research on Optimal Scheduling Method of Distribution Station Area Considering the Uncertainty of Photovoltaic Output","authors":"H. Xue, Zijia Ding, Zongjie Liu, Yongli Fang, Lulin Meng, Huifen Zhang","doi":"10.1109/CEEPE58418.2023.10167021","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10167021","url":null,"abstract":"In this article, the cardinal uncertainty collection is used to describe the uncertainty of photovoltaic (PV) output, and it is introduced into the scheduling optimization problem. Taking the min operation cost as the objective and considering the uncertainty of PV output, a two-phase robust optimization scheduling (ROS) model for the station area is established. The column-and-constraint generation algorithm (C&CGA) is used to decouple it into the main problem and sub-problem to be solved alternately, and the model is solved. Finally, the proposed model is simulated and analyzed by an improved IEEE33 node example. The results show that proposed method can effectively reduce the load fluctuation and operation cost, and reduce the operation loss of the distribution station area.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133661113","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}
Yiming Ma, Zequan Li, Rufei He, Jin Wang, K. Shuai, Haoyu Kang, Lu Sun, Libing Zhou
{"title":"Multi-objective Optimization of High Efficiency PMa-SynRMs Based on Search Space Decay Method for Surrogate Model","authors":"Yiming Ma, Zequan Li, Rufei He, Jin Wang, K. Shuai, Haoyu Kang, Lu Sun, Libing Zhou","doi":"10.1109/CEEPE58418.2023.10166494","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166494","url":null,"abstract":"This work proposes a search space decay way to improve the efficiency of optimization for the most-frequent operational zone of magnet assisted synchronous reluctance motors (PMa-SynRMs). In order to decay the global search space, an analytical model (AM) is built by the simplified magnetic equivalent circuit (MEC) of the rotor and stator. Then the radial basis function (RBF) model is established by the sampling in the local space to predict the performance of the motor which combined with nondominated sorting genetic algorithm II(NSGA-II). Finally, the effectiveness of the optimized result is verified by finite element analysis (FEA).","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134004784","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":"Particle Swarm Optimization for PSS Parameters and Application to DIgSILENT PowerFactory","authors":"Yonghan Liu, Jing He, Peng Wang, Haoran Zhao","doi":"10.1109/CEEPE58418.2023.10165758","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10165758","url":null,"abstract":"The power grid becomes complex, low-frequency oscillations occur more frequently, posing significant challenges to power systems' safe and stable operation. Power system stabilizers are commonly used to enhance system stability by improving damping and suppressing low-frequency oscillations. However, optimizing PSS parameters is a challenging task that typically requires extensive analysis or on-site experimentation. To address this challenge, this study proposes an efficient parameter optimization method for PSSs using the DIgSILENT PowerFactory software and the particle swarm optimization algorithm. The proposed method is validated on a 39-node system, and the results show that the proposed method improves system damping and enhances stability. This method offers an easy-to-implement solution for engineers seeking to optimize PSS parameters in power systems.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134644983","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":"Fractional Compound Odd Repetitive Control for a Grid-Tied Inverters Using an IIR Filter","authors":"Jin Li, Yifei Sun","doi":"10.1109/CEEPE58418.2023.10166244","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166244","url":null,"abstract":"Due to the lack of rapidity of repetitive controllers, compound control strategies are generally adopted. Therefore, a compound structure based on PIMR (proportional integral multi-resonant) is proposed. Although the PIMR controller based on the RC (repetitive control) internal model architecture has improved speed and anti-disturbance, due to the RC core architecture, the system has a delay of sampling period $N$, so the PIMR-ORC(odd repetitive control) architecture is proposed. PIMR-ORC can provide high gains at the fundamental frequency and its odd harmonic frequencies, which reduces the delay link by half, so PIMR-ORC has a wider bandwidth and faster response speed. However, PIMR-ORC's control effect is barely satisfactory under the fluctuation of the grid frequency. Therefore, this paper proposes a double fractional implementation of PIMR-ORC on the basis of PIMR-ORC and renamed as Fractional Compound Odd Repetitive Control(FC-ORC). Through the fractional approximation of the compensation link $z^{m}$ and $N$, the FC-ORC is more adaptable to the change of the grid frequency. The paper analyzes the stability of FC-ORC and gives MATLAB/Simulink to demonstrate the effectiveness and feasibility of the reform plan.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134113909","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 Dispatch of Multi-Energy Power System with High Energy Load Absorbing Blocked Wind and Photovoltaic Power","authors":"Baoyi Jiang, Yubin Yao, Rui Chen","doi":"10.1109/CEEPE58418.2023.10166248","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166248","url":null,"abstract":"In order to improve the absorption ratio and realize the efficient utilization of renewable energy, a source-load coordinated two-layer optimal dispatching model is established in this paper, which considering the participation of high energy load in absorbing wind power and photovoltaic power (wind-PV power). In the upper-layer optimal model, the minimum system operation cost of the system and the maximum amount of wind-PV power absorption are taken as the objective functions. And an improved Harris Hawks Optimization is adopted to solve the upper-layer model. In the lower-layer optimal model, the high energy load is used to absorb the blocked wind-PV power calculated by the upper-layer model. Finally, by analyzing the dispatching results, it is concluded that the proposed two-layer optimal dispatching model can effectively reduce the total cost of the system. The high energy load enterprises will gain profit while participating in wind-PV power absorption. The simulation verifies the effectiveness of the proposed optimal dispatching model.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115694161","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":"Intelligent Decision-Making Method for Fault Handling Based on Knowledge Graph","authors":"Chunfeng Li, Dongsheng Zhang, Jinan Sun, Xin Zhao, Lei Yu, Hongyuan Wei","doi":"10.1109/CEEPE58418.2023.10167325","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10167325","url":null,"abstract":"The scale of the power grid continues to expand and the stability characteristics become more and more complex. Fast and effective fault handling is an important means to ensure the safe and stable operation of the power grid. A fault handling intelligent decision-making method integrating knowledge graph and data mining algorithm is proposed, and a two-level scheduling knowledge graph covering multiple subgraphs is constructed. The upper atlas calls the lower business sub atlas based on the fault handling rules obtained from historical data learning and training. The lower-level map realizes business functions such as on-duty strategy analysis, stable limit matching, and disposal strategy generation of the security control system. Mining fault handling rules based on indicators such as sensitivity, and using massive historical operation data for dynamic update of two-level knowledge graphs to solve the problem that offline handling rules do not match fault scenarios. Finally, the effectiveness of the method is verified by the actual power grid operation data.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117167730","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":"Research on SiC-based Totem-pole Bridgeless PFC Converter and Control Strategy","authors":"Chenkun Fan, Fang Liu, Shang Zhao","doi":"10.1109/CEEPE58418.2023.10165796","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10165796","url":null,"abstract":"To address the problems of inrush current, high-frequency switching body diode loss and Boundary Conduction Mode (BCM) working condition loss in totem-pole Power Factor Correction (PFC) converter, an improved totem-pole bridgeless PFC converter is designed using SiC Schottky diode and SiC IGBT, which reduces the effects of inrush current and conduction loss while improving circuit efficiency. Based on the direct voltage feed-forward control principle, the converter control system is optimally designed to cut the harmonic interference caused by the current spikes at the over-zero moment and enhance the power quality. Simulation model of the improved totem-pole bridgeless PFC converter and its control system is built using Simulink. Experimental results demonstrate that the converter designed in this paper achieves high efficiency and high power quality under the action of the control system.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116137177","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}