2022 5th International Conference on Renewable Energy and Power Engineering (REPE)最新文献_第5页

Study on Primary Frequency Regulation Capability and System Stability of Hydropower Units 水电机组一次调频能力与系统稳定性研究

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9948835

Chunyang Gao, Haipeng Nan, Xiangyang Yu, Han Ning, Luochang Wu, Chuangshe Men

{"title":"Study on Primary Frequency Regulation Capability and System Stability of Hydropower Units","authors":"Chunyang Gao, Haipeng Nan, Xiangyang Yu, Han Ning, Luochang Wu, Chuangshe Men","doi":"10.1109/REPE55559.2022.9948835","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9948835","url":null,"abstract":"As an important frequency regulation unit, the hydropower unit plays an important role in the stable operation of the power grid. At present, most of the hydropower units pursue the primary frequency regulation (PFR) assessment index, ignoring the system stability. This could lead to ultra-low frequency oscillation in a high proportion hydropower area, such as the Yunnan power grid. Therefore, this paper studies the relationship between the PFR and the stability of the system. Firstly, the mathematical model of the hydropower unit is established, and the judgment criteria for satisfying the PFR assessment and system stability are obtained through theoretical analysis, indicating that the PFR capability of the unit is related to the control parameter $K_{I}$. Then, according to the judgment criteria of system stability, the functional relationship between the system parameters $T_{mathrm{a}}$ and $T_{mathrm{w}}$ of different types of hydropower units and the maximum value of the control parameter K_I is obtained by fitting, and the judgment criteria that the unit can satisfy both the PFR assessment and system stability is obtained by using the judgment criteria of PFR assessment. At the same time, it shows that most of the Francis and Kaplan units and all the tubular units cannot satisfy the PFR assessment and system stability at the same time. Finally, on the premise of considering a 20% regulation margin, combined with the fitting function, the PFR assessment formula that satisfies the system stability in a high proportion hydropower area is proposed.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121152990","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 Energy Storage Scheduling Strategy Considering High Proportion of New Energy Uncertainty 考虑高比例新能源不确定性的储能调度策略研究

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9949263

Chuhao Wang, Chaoyang Yuan, D. Xie, Zheng Zhang, Xuguang Zhang, Tianran Li

{"title":"Research on Energy Storage Scheduling Strategy Considering High Proportion of New Energy Uncertainty","authors":"Chuhao Wang, Chaoyang Yuan, D. Xie, Zheng Zhang, Xuguang Zhang, Tianran Li","doi":"10.1109/REPE55559.2022.9949263","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9949263","url":null,"abstract":"With the continuous improvement of the permeability of new energy, how to deal with the inherent randomness and volatility of wind and solar power generation, evaluate and guarantee the security and economy of system output has become an important issue to ensure the utilization of new energy. Energy storage can determine the timing and scale of energy replenishment or release depending on the amount of generating capacity available to the system. Energy storage has become an important factor to promote the absorption of new energy and ensure the economic security of the power system. Based on the high-proportion new energy output and energy storage system, this paper establishes the collaborative model of fire, light, storage and charge, defines the power generation cost function, and introduces the risk assessment of wind abandoning cost and power outage cost in addition to the cost of coal burning. In addition, the generation of energy storage path in operation is simulated. Finally, the optimal scheme is obtained through the method of linear programming. The optimized path can effectively reduce the power generation cost of the system and promote the absorption of new energy. The final results verify the validity of the model and algorithm.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114302931","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 Hybrid Model based on Deep Learning and Cross-attention for Short-term Wind Power Prediction 基于深度学习和交叉关注的风电短期预测混合模型

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9948810

Yiqin Zhang, Cheng Peng

引用次数: 0

Research on Bidirectional DC/DC for DC Power Flow Controller 直流潮流控制器双向DC/DC的研究

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9949170

Wanyu Cao, Yuebin Zhou, Zichao Zhang, Ruidong Sun, Qiyuan Liu

引用次数: 0

HR Control Strategy Based on Phase Compensation for LCL Grid-Connected Inverters in Weak Grid 基于相位补偿的弱电网 LCL 并网逆变器 HR 控制策略

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9949524

Jian Wu, Zhihang Luo, Yongshuai Cui, Dianguo Xu

引用次数: 0

Research of a Foreign Objects Detection Fusion Algorithm Using Video and LIDAR in FAO System FAO系统中基于视频和激光雷达的异物检测融合算法研究

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9949511

Qingguang Yu, Shih-Chi Wang, Youqi Liu, Lintao Zhang, Ashton Yuxuan Tan, Chengbo Siow, Yujin Wang, Guanzi Cai

引用次数: 1

Decoupled Piecewise Linear Relaxation for the AC Optimal Power Flow Problem 交流最优潮流问题的解耦分段线性松弛

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9949533

Guanghui Sun, Libo Yang, Mang Jiang, Bin Ma, Zhe Lv, Shiyan Luan, Yipeng Li, Weixun Li

引用次数: 0

Stability Mechanism Analysis and Improvement Measures for Sending End Near Area Power Grid with UHVDC Transmission System 特高压直流输电系统送电端近区电网稳定性机理分析及改进措施

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9949002

Wei Chen, Yunting Song, Min Li, Ziqi Wang, Yunche Su, Yafei Ding, Shaoxuan Zhu

引用次数: 0

Shape Optimization of a Horizontal Axis Tidal Turbine (HATT) Blade Using Neural Networks for Response Surface Methodology 基于神经网络响应面法的水平轴潮汐涡轮机叶片形状优化

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9949184

Mark Anthony Rotor, H. Hefazi

{"title":"Shape Optimization of a Horizontal Axis Tidal Turbine (HATT) Blade Using Neural Networks for Response Surface Methodology","authors":"Mark Anthony Rotor, H. Hefazi","doi":"10.1109/REPE55559.2022.9949184","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9949184","url":null,"abstract":"Ocean energy is gaining popularity with tidal energy being the most mature technology. Presently, most of the tidal energy research is being focused on tidal stream turbines because it is cheaper and less environmentally invasive. However, this technology is currently considered highly site-specific due to the current tidal turbines being designed for high flow velocity areas. Countries in the tropical region (e.g., the Philippines) are characterized as having low-velocity tidal currents. To efficiently exploit the energy from the ocean tides for relatively low velocity flows, a site-specific Horizontal Axis Tidal Turbine (HATT) blade must be designed and optimized. In this study, a novel robust design optimization framework is used to optimize the blade. This study uses Artificial Neural Networks (ANN) for response surface methodology to generate a surrogate model while using Particle Swarm Optimization (PSO) as the meta-heuristic algorithm to find the optimized blade. The results indicate that the optimized blade increases the turbine's maximum power coefficient and Annual Energy Production (AEP) while limiting the bending stress and cavitation number. The maximum power coefficient of the blade is increased by 30.30%. The maximum bending stress of the blade is decreased by 6.62 % while remaining cavitation-free. One key feature of this method is its robustness as it can be applied to any site located within the design space of interest. Overall, this could be viable for a more computationally efficient method to optimize the performance of HATTs for any set of conditions.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134147697","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

Improved Finite-Control-Set Model Predictive Control of BLDC Motors driven by Three-Phase-Four-Leg Inverters 三相四腿逆变器驱动无刷直流电机的改进有限控制集模型预测控制

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9948984

Tianhao Zhang, J. Yin

引用次数: 0