2022 12th International Conference on Power and Energy Systems (ICPES)最新文献_第10页

Deep Reinforcement Learning Based Approach for Real-Time Dispatch of Integrated Energy System with Hydrogen Energy Utilization 基于深度强化学习的氢能综合能源系统实时调度方法

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072583

Yi Han, Yuxian Zhang, Likui Qiao

{"title":"Deep Reinforcement Learning Based Approach for Real-Time Dispatch of Integrated Energy System with Hydrogen Energy Utilization","authors":"Yi Han, Yuxian Zhang, Likui Qiao","doi":"10.1109/ICPES56491.2022.10072583","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072583","url":null,"abstract":"Integrated energy system (IES) with multi-energy coupling can improve energy utilization efficiency and reduce carbon emissions, and therefore have received widespread attention. With a large number of renewable energy sources and multi-energy loads connected to the integrated energy system, the uncertainty at the supply side and demand side poses a great challenge to the optimal dispatch of IES. To cope with the gap, a real-time optimal dispatch method based on deep deterministic policy gradient (DDPG) is proposed to solve the optimal dispatch of IES considering hydrogen energy utilization. The mathematical model of the problem is established and modeled as a Markov decision process (MDP). Based on this, a deep reinforcement learning (DRL) framework is established and the DDPG algorithm is used to train the agent offline. The trained agent enables online real-time dispatch decisions. The proposed method has advantages in terms of operating cost and decision time. In addition, the advantages brought by the hydrogen utilization device for system operation are verified.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131301447","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

Identification of Construction Vehicles under High Voltage Transmission Line Based on Improved YOLOv5s 基于改进YOLOv5s的高压输电线路施工车辆识别

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10073199

Shaojun Liu, Yitian Sha, Yuhang Yang, Hanlin Guan, Yue Wu, Jingya Li

{"title":"Identification of Construction Vehicles under High Voltage Transmission Line Based on Improved YOLOv5s","authors":"Shaojun Liu, Yitian Sha, Yuhang Yang, Hanlin Guan, Yue Wu, Jingya Li","doi":"10.1109/ICPES56491.2022.10073199","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10073199","url":null,"abstract":"To achieve accurate recognition of construction vehicles under high-voltage transmission lines and eliminate the influence of external environmental influences on the recognition effect, it is essential to use effective target detection methods to achieve real-time detection of construction vehicles under transmission line scenes. Some current methods have good results in target detection accuracy, but they do not meet the lightweight requirements and cannot respond in time. To address the existing problems, based on YOLOv5s, we propose a new target detection method. The method not only improves detection accuracy but also has a small model computation, which facilitates lightweight deployment and response. A guided filtering algorithm is first used to noise-reduce the images in the dataset and enhance the texture features of the images. Then based on YOLOv5s, the receptive field module (RFB) is embedded after the spatial pyramid pooling module (SPPF) to enhance the feature extraction capability of the network. The experimental results show that compared with the traditional YOLOv5s algorithm, the improved algorithm improves the detection accuracy by 4.6%, and the recognition effect is significantly improved, which verifies the effectiveness of the proposed new algorithm.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134360642","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

A Novel Control Strategy for the PMSG Wind Turbine Integration with Battery Storage System PMSG风力发电机组与蓄电池系统集成的一种新型控制策略

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10073190

Decai Li, Yalou Li, Yiying Zhu, Guangheng Pang, Shangjin Yang, Tao Hu

引用次数: 1

Optimal Operating for Battery Energy Storage System in Both Energy Market and Regulation Market 能源市场和监管市场下电池储能系统的最优运行

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072713

Qianli Ma, Huaihua Zheng, Weijie Qian, Wei Wei

引用次数: 0

A Data Driven Method for Wind Power Curve Simulation under Typhoon Influence in Large Power Grid 台风影响下大电网风电曲线模拟的数据驱动方法

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072976

Xun Lu, Qihang Zhou, Jia-yang Wang, Zhihua Gao, Xinmiao Liu, Yuxuan Tang

{"title":"A Data Driven Method for Wind Power Curve Simulation under Typhoon Influence in Large Power Grid","authors":"Xun Lu, Qihang Zhou, Jia-yang Wang, Zhihua Gao, Xinmiao Liu, Yuxuan Tang","doi":"10.1109/ICPES56491.2022.10072976","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072976","url":null,"abstract":"Generation of the wind farm is highly sensitive to changes in weather conditions, especially to the extreme weather events such as typhoons, in comparison with the traditional power sources and loads. For a power system with increasing wind power installation, it is important to evaluate the safety and reliability of the system against the impact of extreme meteorological event like typhoon. In this paper, a data driven model to simulate the power sequence of wind farms during typhoon events are proposed, which is helpful for the reliability evaluation of a planned power system with high wind power penetration. Firstly, the basic shape segments are identified and collected from the historical wind power curves during typhoons. Then power curves are coded into segment sequence to form the typhoon-related wind power curve library. Finally, simulation on the new typhoon events and new wind farms can be carried out by random sampling in above model library according to the typhoon intensity and path. Historical data of wind farms in Guangdong, China is applied to verify the model. The results show that the wind power sequences generated by the proposed method well reflect the statistical and time-domain characteristics of the wind power during the typhoon event.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130818395","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

Statistical Analysis on the Power Energy Adequacy of the PV Generation in South China 华南地区光伏发电电力能量充分性的统计分析

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072863

Hong-Tao Liu, Bingying Lin, H. Xie, Ligang Zhao, Hongyue Zhen, Xingyi Song

引用次数: 0

Study on Anti-pollution Flashover Durability of Superhydrophobic Insulating Coating Surface 超疏水绝缘涂层表面抗污闪络耐久性研究

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072564

Jinyu Chen, Wenxin Chen, Han Lin, Zihan Chen, Simin Chen, Guansan Chen

引用次数: 0

An Economic Dispatch Model of Wind Power for Optimal Reserve Capacity of Electric Power System 电力系统最优备用容量的风电经济调度模型

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072496

Wenyuan Xu, Qi Wu, Yuan Tao, Siqi Qiu, Zhifeng Qiu

引用次数: 0

Development of Probability Estimation Method for Transmission Line Overload due to Forecast Errors of Renewable Energy Sources 可再生能源预测误差导致输电线路过载的概率估计方法研究

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072704

Sichen Li, K. Kawabe, Taisuke Musuta

{"title":"Development of Probability Estimation Method for Transmission Line Overload due to Forecast Errors of Renewable Energy Sources","authors":"Sichen Li, K. Kawabe, Taisuke Musuta","doi":"10.1109/ICPES56491.2022.10072704","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072704","url":null,"abstract":"To achieve decarbonization, the market share of renewable energy sources (RESs), such as wind and photovoltaic generators, is gradually increasing. However, the outputs of RESs are hard to accurately predict, which introduces uncertainty to a stable electric power system. This would pose a risk of violations of power system constraints, such as thermal overloads of transmission lines. To maintain a stable power supply, it is necessary to recognize the overload risk so that the system operators can take countermeasures in advance to prevent them. This paper presents a probability estimation method for transmission line overloads caused by uncertainties in the real-time outputs of RESs. The problem is modeled as a multi-dimensional integration problem based on the probability density function of the RES forecast output errors and be solved with a Monte-Carlo integration-based method. In numerical analysis, the modified IEEE-RTS 24-bus system was used to obtain a ranking of the overload probabilities for the transmission lines. It is also demonstrated that the overload probability can be significantly reduced by modifying the unit commitment schedule.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121448338","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: 2

Study on Master-Slave Game Strategy of Integrated Energy System Considering Users Demand Response and Energy Balance 考虑用户需求响应和能量平衡的综合能源系统主从博弈策略研究

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10073132

F. Deng, Dexin Meng, Z. Deng, Hujun Li, Jianan Si, Junpeng Zhu

引用次数: 0