2022 5th International Conference on Power and Energy Applications (ICPEA)最新文献_第3页

Analysis of Transient Voltage Characteristics of Wind-Fire Bundling DC External Transmission System 风-火捆绑直流外输系统暂态电压特性分析

2022 5th International Conference on Power and Energy Applications (ICPEA) Pub Date : 2022-11-18 DOI: 10.1109/ICPEA56363.2022.10052434

Junjie Sun, Xinwei Li, Enming Bai, Xiaoheng Zhang, Jianyuan Xu, Peng Yuan

{"title":"Analysis of Transient Voltage Characteristics of Wind-Fire Bundling DC External Transmission System","authors":"Junjie Sun, Xinwei Li, Enming Bai, Xiaoheng Zhang, Jianyuan Xu, Peng Yuan","doi":"10.1109/ICPEA56363.2022.10052434","DOIUrl":"https://doi.org/10.1109/ICPEA56363.2022.10052434","url":null,"abstract":"With the improvement of the modern energy system, the wind-fire bundling system combining wind power and thermal power units has become the main form of power transmission in new energy gathering areas in the northwest. However, considering the operating characteristics of the HVDC system, when a fault occurs in the near area of the HVDC system, the reactive power problem during the transient period of the system is prominent. To this end, this paper firstly builds a new energy and thermal power bundled DC system outbound transient simulation model; secondly, simulates the grounding short-circuit fault at the outlet side of the wind farm to explore the transient voltage stability of the system; The system voltage characteristics are different; finally, the system surplus reactive power consumption scheme is proposed when the HVDC system has DC blocking. The results show that the smaller the distance between the wind farm and the short-circuit point, the more obvious the voltage drop; the removal of the local compensation in the DC near zone can effectively alleviate the transient voltage rise caused by the DC blocking. The simulation model built in this paper is based on the actual power grid operation data, and has certain reference significance for the voltage stability analysis of similar grid structures.","PeriodicalId":447871,"journal":{"name":"2022 5th International Conference on Power and Energy Applications (ICPEA)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132273058","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}

引用次数: 0

Analytic Model of Copper AC Loss of Permanent Magnet Synchronous Motor with Considering Conductor Gap 考虑导体间隙的永磁同步电动机铜交流损耗分析模型

2022 5th International Conference on Power and Energy Applications (ICPEA) Pub Date : 2022-11-18 DOI: 10.1109/ICPEA56363.2022.10052167

Yi Wu, Jian Gao, Wen-juan Zhang, Shoudao Huang, Chenshan Hu, Jianming Li

{"title":"Analytic Model of Copper AC Loss of Permanent Magnet Synchronous Motor with Considering Conductor Gap","authors":"Yi Wu, Jian Gao, Wen-juan Zhang, Shoudao Huang, Chenshan Hu, Jianming Li","doi":"10.1109/ICPEA56363.2022.10052167","DOIUrl":"https://doi.org/10.1109/ICPEA56363.2022.10052167","url":null,"abstract":"For the permanent magnet synchronous motor (PMSM) with complex slot structure, the copper AC loss caused by high-frequency excitation can not be ignored, but it takes a lot of time to establish accurate model using the finite element method. In this paper, an analytic model of copper AC loss of PMSM with considering conductor gap is proposed. This model can quickly calculate the loss when the winding or slot structure size changes, and is applicable to different windings and slot types. First, according to the conductor layer, the area in slot is divided into conductor part and air part. Then, the magnetic field diffusion equations and boundary conditions are established according to the slot structure to solve the conductor current density and to calculate the loss. The current density distribution and the AC loss results obtained by using the analytic model are highly consistent with the finite element results. Therefore, the analytic model is of great significance for calculating of copper AC loss, and can provide reference value for motor design.","PeriodicalId":447871,"journal":{"name":"2022 5th International Conference on Power and Energy Applications (ICPEA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114263860","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}

引用次数: 0

Optimal Research on Siting and Sizing of Energy Storage in Distribution Network 配电网储能选址与规模优化研究

2022 5th International Conference on Power and Energy Applications (ICPEA) Pub Date : 2022-11-18 DOI: 10.1109/ICPEA56363.2022.10052359

Wen-Chien Tang, Jianfeng Lu, Huadong Chen, Yibo Yuan, Xiaoxiang Lv, Jianqi Chen, Chengyu Zhao, Hailong Zhang

引用次数: 0

Optimal Proportion of Wind, PV, Hydrogen and Storage Capacity Based on Time Sequence Simulation 基于时间序列仿真的风电、光伏、氢能和储能容量最优比例

2022 5th International Conference on Power and Energy Applications (ICPEA) Pub Date : 2022-11-18 DOI: 10.1109/ICPEA56363.2022.10052461

Jun Pan, J. Lei, Aijun Chen, Yang Cao, Zikun Zhao, Hang Zhang

{"title":"Optimal Proportion of Wind, PV, Hydrogen and Storage Capacity Based on Time Sequence Simulation","authors":"Jun Pan, J. Lei, Aijun Chen, Yang Cao, Zikun Zhao, Hang Zhang","doi":"10.1109/ICPEA56363.2022.10052461","DOIUrl":"https://doi.org/10.1109/ICPEA56363.2022.10052461","url":null,"abstract":"In the context of China’s construction of a high-renewable (RE) power system (innovative power system), and distributed power generations represented by solar power and wind power have realized large-scale applications. However, the volatility, randomness and intermittency of wind power and solar power generation bring challenges to the safe and stable operation of the system. Taking advantage of the long-cycle and large-capacity storage characteristics of hydrogen energy to construct an integrated system of wind-solar-hydrogen-storage can effectively meet the above challenges. optimized calculation of the installed proportion of the integrated system can effectively improve the utilization efficiency of renewable energy and reduce investment costs. In this paper, based on the time-sequence production simulation method, a two-stage optimal proportion model for integrated system of wind-solar-hydrogen-storage is formulated, the optimal capacity of each generation equipment in the system is calculated, and a practical case is taken as an example for simulation calculation. It shows that a 23MW wind farm of and a 17MW solar power plant are equipped with a 39. 9MW alkaline and a 1900kg hydrogen storage tank, the comprehensive benefit of the system is the highest. The relevant calculation results verify the rationality of the time-sequence simulation model and the correctness of the theoretical analysis proposed in this paper, which serves as important guidance for the planning of the electric hydrogen integrated system development.","PeriodicalId":447871,"journal":{"name":"2022 5th International Conference on Power and Energy Applications (ICPEA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123879839","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}

引用次数: 0

Simulation and Analysis of a Novel Dual-Channel Stator Distributed Excitation Double Salient Motor 一种新型双通道定子分布励磁双凸极电机的仿真与分析

2022 5th International Conference on Power and Energy Applications (ICPEA) Pub Date : 2022-11-18 DOI: 10.1109/ICPEA56363.2022.10052416

Junjie Mu, Xiaoli Meng, Zhiyu Zhang, Huaizhi Yang

引用次数: 0

An Improved Bootstrap-Monte Carlo Method Used to Reliability Evaluation of the Flywheel Energy Storage Device 飞轮储能装置可靠性评估的改进自举-蒙特卡罗方法

2022 5th International Conference on Power and Energy Applications (ICPEA) Pub Date : 2022-11-18 DOI: 10.1109/ICPEA56363.2022.10052194

Yan Jingwen, Zhou Xiwei, Si Liyun, Zhang Chengyan

{"title":"An Improved Bootstrap-Monte Carlo Method Used to Reliability Evaluation of the Flywheel Energy Storage Device","authors":"Yan Jingwen, Zhou Xiwei, Si Liyun, Zhang Chengyan","doi":"10.1109/ICPEA56363.2022.10052194","DOIUrl":"https://doi.org/10.1109/ICPEA56363.2022.10052194","url":null,"abstract":"The components of flywheel energy storage device are complicated, and its reliability evaluation is a difficult problem in industry research. This paper proposes an improved Monte Carlo method based on Bootstrap to solve this problem. Firstly, the system model based on fault tree was constructed. Secondly, the Bootstrap method was used to expand the failure data samples, and the least square method was used to estimate the parameters, and the cumulative failure distribution function of the two-parameter Weibull distribution of each event was obtained as the original input of simulation. Finally, Monte Carlo method is used to sample the failure data, and N times of simulation is carried out to obtain the reliability index of the system. Taking the field data as the standard, the results obtained by the proposed method are compared with those obtained by the traditional Monte Carlo method to verify the effectiveness of the proposed method, which provides an effective scheme for the reliability evaluation and fault diagnosis of flywheel energy storage.","PeriodicalId":447871,"journal":{"name":"2022 5th International Conference on Power and Energy Applications (ICPEA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125530575","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}

引用次数: 0

Economic Optimal Dispatch of Microgrid with P2G and Multi-type Energy Storage to Promote Renewable Energy Consumption P2G +多类型储能微电网经济优化调度促进可再生能源消纳

2022 5th International Conference on Power and Energy Applications (ICPEA) Pub Date : 2022-11-18 DOI: 10.1109/ICPEA56363.2022.10052448

Xiaoxuan Guo, Biyun Chen, Jingmin Chi, Qingzhuang Miao, Yongjun Zhang, Yong Tao

引用次数: 0

Power Plant Coal Inventory Forecasting Based on LightGBM with Bayesian Optimization 基于LightGBM的电厂煤库存预测与贝叶斯优化

2022 5th International Conference on Power and Energy Applications (ICPEA) Pub Date : 2022-11-18 DOI: 10.1109/ICPEA56363.2022.10052407

Min Zhang, Yuan Song, Zhijun Zhang, L. Lu

{"title":"Power Plant Coal Inventory Forecasting Based on LightGBM with Bayesian Optimization","authors":"Min Zhang, Yuan Song, Zhijun Zhang, L. Lu","doi":"10.1109/ICPEA56363.2022.10052407","DOIUrl":"https://doi.org/10.1109/ICPEA56363.2022.10052407","url":null,"abstract":"Accurate prediction of coal inventory in power plants is an important prerequisite for the smooth implementation of power plant supply guarantee policies. It is of great significance to accurately predict the supply risk of coal in advance. The coal inventory of hydropower plants has the characteristics of periodicity, randomness and seasonality, and is affected by coal input, coal consumption, meteorology and special policy events. Aiming at the problems that the prediction results of the existing power plant coal inventory prediction algorithm are not accurate enough, and the prediction is only based on historical data such as power generation and coal consumption, this paper proposes a new coal inventory prediction method for hydropower plants, which uses the learning advantage of the LightGBM model based on Bayesian optimization to the regression problem, determines the local optimal hyperparameter configuration, and uses the histogram algorithm and the gradient unilateral sampling algorithm, Reduce the number of training samples and features in the iteration to avoid over fitting. In this paper, the experimental analysis is carried out on the historical data of a hydropower plant. Finally, the accuracy of the model is evaluated by statistical indicators such as RMSE, Mae and correlation coefficient. Experiments show that compared with other algorithms, the method proposed in this paper has higher accuracy and is of great significance for the prediction of coal inventory in hydropower plants.","PeriodicalId":447871,"journal":{"name":"2022 5th International Conference on Power and Energy Applications (ICPEA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121886753","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}

引用次数: 0

Research on SOC Equalization Control Strategy of Cascaded Inverter for Grid Connected Energy Storage System 并网储能系统级联逆变器SOC均衡控制策略研究

2022 5th International Conference on Power and Energy Applications (ICPEA) Pub Date : 2022-11-18 DOI: 10.1109/ICPEA56363.2022.10052207

Hui Huihui, Liu Kaixuan, Wu Mingbo, Zhao Rende, Wang Yongjun, Dong Lei

引用次数: 0

Intelligent Dispatch of Wind-Thermal Hybrid System Based on Deep Reinforcement Learning Considering Flexible Ramping Capacity Provided by Wind Power 考虑风电柔性爬坡能力的基于深度强化学习的风热混合系统智能调度

2022 5th International Conference on Power and Energy Applications (ICPEA) Pub Date : 2022-11-18 DOI: 10.1109/ICPEA56363.2022.10052417

Yuanyu Ge, Jun Xie, Jianan Duan, Shanxi Xing, Mingtao Liu, Qiuyan Zhang

{"title":"Intelligent Dispatch of Wind-Thermal Hybrid System Based on Deep Reinforcement Learning Considering Flexible Ramping Capacity Provided by Wind Power","authors":"Yuanyu Ge, Jun Xie, Jianan Duan, Shanxi Xing, Mingtao Liu, Qiuyan Zhang","doi":"10.1109/ICPEA56363.2022.10052417","DOIUrl":"https://doi.org/10.1109/ICPEA56363.2022.10052417","url":null,"abstract":"With the continuous improvement of the penetration rate of renewable energy, the flexible ramping capacity of the power system is facing enormous challenges. Relying only on conventional units to provide flexible ramping capacity may result in insufficient ramping capability of units, which will make it difficult to maintain the balance of power supply and demand, and then affect the reliability and economy of power system operation. This paper proposes an intelligent dispatching method for wind-thermal hybrid system based on deep reinforcement learning, considering the flexible ramping capacity provided by wind power. Firstly, the dispatching model considering the flexible ramping capacity provided by wind power is constructed. Then, the dispatching problem is transformed into reinforcement learning task. Based on the deep deterministic policy gradient (DDPG) approach, an intelligent dispatching method of wind-thermal hybrid system considering the flexible ramping capacity provided by wind power is proposed. Finally, the effectiveness of the proposed method is verified with the test data on PMJ 5 bus system. The results show that the proposed method can effectively realize the dispatching of wind-thermal hybrid system with low scheduling cost and can be applied to real-time dispatching decision with short decision time.","PeriodicalId":447871,"journal":{"name":"2022 5th International Conference on Power and Energy Applications (ICPEA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121244886","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}

引用次数: 1