2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)最新文献_第7页

Research on Trading Strategy of Distributed Generation and User Power Based on Blockchain Platform 基于区块链平台的分布式发电与用户电力交易策略研究

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10117155

Zheng Hong-Juan, Liu Hu, Zhu Qing, Chaoliang Wang, L. Li

引用次数: 0

Tie-Line Scheduling Based on Equivalents of Regional Power Grids 基于区域电网当量的联络线调度

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116196

Wei Wang, Chunxiao Liu, Yinsheng Su, Qiang Ma, Shuwei Xu, Wenchuan Wu

{"title":"Tie-Line Scheduling Based on Equivalents of Regional Power Grids","authors":"Wei Wang, Chunxiao Liu, Yinsheng Su, Qiang Ma, Shuwei Xu, Wenchuan Wu","doi":"10.1109/EI256261.2022.10116196","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116196","url":null,"abstract":"Tie-line scheduling is a crucial issue to realize the hierarchical dispatch and control architecture in China. At present, tie-line schedule is determined manually by operators, which cannot provide satisfactory results to accommodate the variance of the operational status. Although the optimal tie-line schedule can be computed by joint optimization of multi-regional power grids, which involves the whole interconnected network model and is hard to maintain. In addition, the decentralized methods require frequent communications between different control centers, which are always inapplicable in practical engineer. To cope with this issue, this paper proposes a novel tie-line scheduling method based on the equivalent of regional power grids, which firstly employ an equivalent model to represent a group of units in each region. Then the cost function, ramping rate and other characteristics of the equivalent unit are accurately described by piecewise functions. Finally, the tie-line schedule can be obtained easily without synchronous coordination between control centers. Numerical tests demonstrate the effectiveness of the proposed method.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124330663","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

Forecast of the Size of Transactions Involving Adjustable Loads in the Peaking Market Based on VMD-AdaBoost-SVM Based Trading 基于VMD-AdaBoost-SVM交易的峰值市场可调负荷交易规模预测

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116858

Wenjuan Zhai, Yehang Deng, Jing Zhou, Siwen Zhang, Hanyu Yang, Xun Dou

引用次数: 0

Modeling and Active Power Control of a Hydropower-Dominant Hybrid Energy System 水电为主的混合能源系统建模与有功控制

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116835

Yiwen Liao, Weijia Yang, Yifan Huang, Xudong Li

引用次数: 0

Adaptability Analysis of Distribution Network to Distributed Generation Considering Hosting Capacity and Absorption Capability 考虑承载能力和吸收能力的配电网对分布式发电的适应性分析

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10117445

Hao Chen, Guilian Wu, Yi-Mou Lin, Tingting Lin

引用次数: 0

Low Carbon Planning Optimization Model of Active Distribution Network Considering Flexible Load 考虑柔性负荷的有源配电网低碳规划优化模型

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10117194

Huiting Qiao, Liangzheng Wu, Shang Wen, Mengke Xue, Yan Huang

{"title":"Low Carbon Planning Optimization Model of Active Distribution Network Considering Flexible Load","authors":"Huiting Qiao, Liangzheng Wu, Shang Wen, Mengke Xue, Yan Huang","doi":"10.1109/EI256261.2022.10117194","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10117194","url":null,"abstract":"In the context of low carbon distribution network, this paper proposes a mixed integer second-order cone programming model for active distribution network considering carbon emission and flexible load. The objective is to provide the investment strategy with the minimum total cost under the premise of satisfying network operation constraints and CO2 emission ceiling. Considering the uncertainty of new energy, load and energy price, a scenario clustering method based on K-means was proposed. The decision variables of the model include replacing overload lines, investing in new energy and energy storage devices, and investing in voltage control devices such as voltage regulators and capacitor banks. The polynomial voltage dependent flexible load, network reconstruction and carbon emission limit constraints are considered. Aiming at the nonconvex nonlinear characteristics of the programming model, the network reconstruction was modeled as a mixed integer linear programming form by using the virtual demand method, and an improved second-order cone relaxation method based on Taylor expansion was proposed to solve the problem of the traditional second-order cone relaxation caused by the flexible load model. Finally, the model is solved under the framework of two-stage stochastic programming. The model was tested by a 69-node system, and the results show that the proposed model not only has a lower total planning cost, but also contributes to reducing carbon emissions.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116952831","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

Data-driven Method and Interpretability Analysis for Transient Power Angle Stability Assessment 暂态功率角稳定性评估的数据驱动方法及可解释性分析

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116244

Yuxiang Wu, Xiaoqing Han, Z. Niu, Boyang Yan

{"title":"Data-driven Method and Interpretability Analysis for Transient Power Angle Stability Assessment","authors":"Yuxiang Wu, Xiaoqing Han, Z. Niu, Boyang Yan","doi":"10.1109/EI256261.2022.10116244","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116244","url":null,"abstract":"With the large-scale grid connection of Renewable energy sources as well as modern power electronics devices, the accuracy and rapidity of transient stability evaluation in power grids are increasingly stringent.The data-driven power system transient stability assessment can achieve online real-time prediction by learning the temporal characteristics before and after faults, but its application is limited by its inherent black-box nature. In this paper, an extreme gradient boosting (XGBoost) model-based transient stability assessment method is proposed for power systems, which can optimize the prediction accuracy while ensuring immediate response. To improve the interpretability of the evaluation results, the Yellowbrick algorithm is used to interpret the evaluation model prediction results from the perspective of feature importance, and the correctness of the interpretation results is verified by making predictive attribution analysis on a single sample based on Local Interpretable Model-agnostic Explanations (LIME) algorithm, which provides a reliable basis for online assessment of grid transient stability.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116980877","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

Two-Stage Robust Planning Scheme for Simulating Renewable Energy Integration Considering Versatile Low-Carbon Policies 考虑多种低碳政策的模拟可再生能源整合的两阶段稳健规划方案

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116871

J. Li, Y. Li, Yuqi Wang, Jingjing Cao, Xiong Wu, Tao Ding

引用次数: 0

Cycle Iteration Strategy of Integrated Energy System Business Model Based on Cycle Iteration Theory 基于循环迭代理论的综合能源系统业务模型循环迭代策略

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116654

Ren Yongjie, Fan Xiaoke, Lin Jialin, Zeng Ming, Qian Gang, Luo Gang, Zhu Feng

{"title":"Cycle Iteration Strategy of Integrated Energy System Business Model Based on Cycle Iteration Theory","authors":"Ren Yongjie, Fan Xiaoke, Lin Jialin, Zeng Ming, Qian Gang, Luo Gang, Zhu Feng","doi":"10.1109/EI256261.2022.10116654","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116654","url":null,"abstract":"The development of integrated energy services is an effective way to implement the national energy strategy and promote the green and low-carbon transformation of energy industry. However, the exploration and practice of integrated energy system services in China is still in its infancy, and a mature and systematic integrated energy system business model has not yet been established. It is not conducive to the large-scale promotion and development of integrated energy system services. Based on the business canvas theory, this paper firstly considered the behavioral characteristics, value demands, interaction mechanism and industry chain positioning of the integrated energy system, and constructed a three-dimensional business model suitable for the current integrated energy system services from nine aspects, including customer segmentation, value proposition and channel access. Secondly, this paper adopted grounded analysis theory to study the evolutionary iterative path of integrated energy system business model, and summarized the phased iterative evolution strategy of integrated energy system through grounded analysis method. Three levels of open coding, axial coding and selective coding were carried out for the current integrated energy data, and the short-term, medium-term and long-term iteration strategies for the integrated energy system services business model were proposed, and provided a reference direction for the business model development of integrated energy system.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116445315","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

Online Prediction Method of RUL of Lithium Battery Based on CEEMDAN-ILSTM 基于CEEMDAN-ILSTM的锂电池RUL在线预测方法

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10117247

Lingzhi Yi, Bo Liu, Yahui Wang, Xinkun Cai, Jiang Zhu

引用次数: 0