2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)最新文献_第6页

Research on Energy Effectiveness Evaluation Method of Micro–grid Energy Management System Operation Based on Multi–index Normalization Strategy 基于多指标归一化策略的微网能源管理系统运行能效评价方法研究

2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175260

Jiarui Wang, Jiajun Zhang, Yizhe Li, Dexin Li, Haifeng Zhang

引用次数: 0

Adaptive Robust Optimization Based on Data-driven Uncertainties of Source and Load for Microgrid Operation 基于数据驱动的源负荷不确定性的微电网自适应鲁棒优化

2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175238

Zibin Li, Mao Tan, Yuling Ren, Hongwei Jiang

{"title":"Adaptive Robust Optimization Based on Data-driven Uncertainties of Source and Load for Microgrid Operation","authors":"Zibin Li, Mao Tan, Yuling Ren, Hongwei Jiang","doi":"10.1109/ICCSIE55183.2023.10175238","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175238","url":null,"abstract":"The strong uncertainty of renewable energy output and load demand makes the stable operation of microgrids a challenging and important issue. However, the scheduling methods based on deterministic models cannot accurately describe the influence of uncertainties on operation of microgrids. To address this problem, this paper proposes a two-stage adaptive robust optimal scheduling model (TSARO) that considers both source and load uncertainties. The model first adopts the dirichlet process mixture model (DPMM) to perform cluster analysis and parameter estimation on massive historical data, and constructs a data-driven uncertainty set of source and load. Then, based on the uncertainty set, the TSARO model aiming at minimizing the microgrid operation cost is developed under the worst-case scenario. Finally, this paper solves the optimization model using column constraint generation algorithm (C&CG) to obtain the day-ahead power dispatching plan. Simulation results show that the proposed model in this paper has better economic benefits compared with several classical optimization models.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115435090","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

Multi-layer Cooperative Frequency Control of Microgrid with False Data Injection Attack and Communication Delay 基于虚假数据注入攻击和通信延迟的微电网多层协同频率控制

2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175205

Yihe Wang, Luyuan Wang, Bonan Huang, Qiuye Sun

{"title":"Multi-layer Cooperative Frequency Control of Microgrid with False Data Injection Attack and Communication Delay","authors":"Yihe Wang, Luyuan Wang, Bonan Huang, Qiuye Sun","doi":"10.1109/ICCSIE55183.2023.10175205","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175205","url":null,"abstract":"At present, distributed secondary frequency regulation based on multi-agent system (MAS) has become the most commonly used secondary frequency regulation method, but this method also brings network security risks. Therefore, this paper proposes a false data injection attack (FDIA) detection algorithm based on active power difference. Based on this algorithm, an attack elimination factor is added to the proposed consistency protocol to eliminate false data injection attacks. Considering that the communication delay will affect the convergence rate of MAS system, the consistency protocol is optimized. In addition, this paper optimizes a cooperative frequency regulation strategy, and distinguishes the strategies according to different scenarios. According to the order of action, the strategy is divided into two levels and three levels. Finally, a simulation model is built to test the defense algorithm and control strategy. The simulation results show the effectiveness and superiority of FDIA defense algorithm and frequency control strategy.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125255532","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

Distributed Optimal Control Strategy of New Energy in Novel Power Systems 新型电力系统中新能源分布式最优控制策略

2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175244

Yilin Jia, Qiao Zheng, Zhiming Pan, Yibo Wang, Runduo Tian

{"title":"Distributed Optimal Control Strategy of New Energy in Novel Power Systems","authors":"Yilin Jia, Qiao Zheng, Zhiming Pan, Yibo Wang, Runduo Tian","doi":"10.1109/ICCSIE55183.2023.10175244","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175244","url":null,"abstract":"While novel power systems are developing in the direction of electrification and cleaning, there are many unstable factors in system. To alleviate the influence of random factors of external excitation on the stability of novel power systems, virtual synchronous generator (VSG) can simulate the operation mechanism of synchronous generator and provide inertia and damping support for the system. In island mode, the parallel operation mode of multiple distributed generation is usually adopted to improve the capacity and reliability of microgrid, but the parallel system is prone to the problem that reactive power cannot be accurately distributed. The paper proposes a parallel VSG distributed control method based on consensus secondary control strategy, which can improve the distribution characteristics of active power and reactive power of the system. Integration link is introduced into the reactive power control loop of the microgrid inverter. The adjacent VSGs can reduce the voltage fluctuation at the point of common coupling and realize the on-demand distribution of reactive power by only a small amount of information interaction among multiple agents. The simulation model verifies the effectiveness of the proposed method.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"33 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114127786","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

Multiple Energy Flow Modeling of Integrated Energy System Based on Heterogeneous Learner Integration Strategy 基于异构学习者整合策略的集成能量系统多能量流建模

2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175313

Sixiao Xin, Haoran Zhao, Hao Li, Hang Tian, Mengxue Wang, Xiaoli Huang

{"title":"Multiple Energy Flow Modeling of Integrated Energy System Based on Heterogeneous Learner Integration Strategy","authors":"Sixiao Xin, Haoran Zhao, Hao Li, Hang Tian, Mengxue Wang, Xiaoli Huang","doi":"10.1109/ICCSIE55183.2023.10175313","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175313","url":null,"abstract":"To solve the problems of Newton’s method in the multiple energy flow (MEF) calculation of integrated energy systems (IES), such as the convergence solution depends on the selection of initial values, and the high dimension of Jacobi matrix leads to slow iterative calculation, a MEF modeling method for IES based on heterogeneous learner integration strategy is proposed. Firstly, considering the complex characteristics of the IES, the MEF model is trained using a variety of data-driven algorithms which are proven successful in related literatures. Secondly, based on the learner selecting strategy of ‘’accurate but different’’ and the quantitative indexes of accuracy and divergence of each model, partial least squares and deep neural network are selected as the basic learning algorithms to construct the heterogeneous learner integration model. Finally, the case study shows that the model established by the proposed method can achieve better accuracy than the model created by single algorithm. The model can calculate the energy flow of IES quickly and accurately without relying on the initial value and iteration, and the speed of solving this model is 47.8 times that of the traditional Newton’s method. The proposed method provides a new approach for the accurate and rapid calculation of MEF in a large-scale IES.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114926256","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

Remaining Capacity Estimation of Lithium-ion Batteries based on Health Features Extraction and Gray Relation Analysis 基于健康特征提取和灰色关联分析的锂离子电池剩余容量估计

2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175267

Rui Pan, Yuxin Wang, Wei Huang, Mao Tan, Jing Chen, Tongshen Liu

引用次数: 0

Optimized control of hydrogen production and energy storage system for wind-solar complementary power generation 风光互补发电制氢储能系统优化控制

2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175247

Meng Sun, Lin Yang, Yang Liu, Zuoxia Xing, Yeqin Shao, Jinsong Liu

引用次数: 0

A Business model for Strategic Bidding of Wind Power Plant and District Heating System Portfolio 风力发电厂和区域供热系统组合战略投标的商业模式

2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175214

Ying Wang, Liangdong Qin, Shuo Wang, Menglin Zhang, Mengshu Zhu, Shichang Cui

{"title":"A Business model for Strategic Bidding of Wind Power Plant and District Heating System Portfolio","authors":"Ying Wang, Liangdong Qin, Shuo Wang, Menglin Zhang, Mengshu Zhu, Shichang Cui","doi":"10.1109/ICCSIE55183.2023.10175214","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175214","url":null,"abstract":"This paper proposes a business model based on a bidding strategy for the wind power plant and district heating system (WPP-DHS) portfolio. It takes into account energy sales in the day-ahead market, penalties in the balancing market, as well as heat sales in the heat market, with the goal of maximizing profits for the WPP-DHS portfolio. Due to the uncertainty of wind power production, the actual power production will always deviate from the bid volume when WPP participates in the dayahead market independently, resulting in a decrease in overall revenue. In the proposed business model, WPP and DHS participate in the day-ahead market as a portfolio. The flexibility of the DHS can be utilized to compensate for the power deviation of the WPP, thereby increasing the revenue of the WPP-DHS portfolio. The uncertainty of the power production is simulated based on scenarios. A stochastic optimization model is established to schedule power and heat production and create bids for the day-ahead market. Case studies verify the efficiency of the proposed models and methods.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"312 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123454484","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

Design of dynamic voltage restorer based on improved strong tracking filter algorithm 基于改进强跟踪滤波算法的动态电压恢复器设计

2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175246

Weikang Zhang, Long Cheng, Quanfei Huang, Qi Ge

{"title":"Design of dynamic voltage restorer based on improved strong tracking filter algorithm","authors":"Weikang Zhang, Long Cheng, Quanfei Huang, Qi Ge","doi":"10.1109/ICCSIE55183.2023.10175246","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175246","url":null,"abstract":"With the massive access of new energy and nonlinear and asymmetric loads, the power quality problem in the power grid has become increasingly prominent. Voltage sag problem is one of the serious power quality problems often encountered in power system. As a common voltage sag control device, the dynamic voltage restorer has improved the voltage detection mode and control strategy of the dynamic voltage restorer. Aiming at the traditional strong tracking filtering algorithm’s judgment of voltage sag detection, the filter divergence threshold is set very small, There will be a greater probability of fading factor and filter gain adjustment, which will eventually lead to unsmooth system state estimation. In order to quickly and accurately detect voltage sag characteristics,. A voltage sag detection method based on improved strong tracking filtering algorithm is proposed. On the basis of considering the influence of harmonics, DC offset, non integral harmonics and noise, an improved strong tracking filter model including DC components, fundamental and harmonic components is established. At the same time, proportional resonance control is used to replace the commonly used proportional integral control. The simulation results show that the improved dynamic voltage restorer has stronger robustness and higher compensation accuracy.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129564224","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

State of Health Estimation of Lithium Ion Battery Based on CNN-LSTM Neural Network 基于CNN-LSTM神经网络的锂离子电池健康状态评估

2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) Pub Date : 2023-01-14 DOI: 10.1109/ICCSIE55183.2023.10175264

Juanhua Zhu, Shuo Man, Xinlu Wang, Yuhai Huang, Yayun Wei

引用次数: 0