{"title":"Edge-Based Resilient Consensus Control of Islanded Microgrids","authors":"Yixin Jiang, Peiming Xu, Wenqian Xu, Zhihong Liang, Yiwei Yang, Yunan Zhang, Kaitian Huang, Meina Zhai","doi":"10.1109/ICCSIE55183.2023.10175279","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175279","url":null,"abstract":"We present a resilient output voltage recovery strategy for AC microgrids (MGs). In the presence of network attacks, distributed generators (DGs) may experience partial loss of effectiveness (PLOE) and bias faults in their actuators. These fault parameters can be heterogeneous and time-varying, posing significant challenges to voltage regulation. To address this, our approach incorporates adaptive techniques to handle the fault parameters while avoiding their direct dependence. Furthermore, we utilize boundary layers to design smooth controllers that mitigate the adverse effects of non-smooth controllers, ensuring stable and precise voltage regulation. Through extensive simulations, we validate the effectiveness of our proposed strategy in achieving reliable and robust load voltage regulation in AC MGs.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"104 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":"124045884","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}
{"title":"A Physiological Signal Emotion Recognition Method Based on Domain Adaptation and Incremental Learning","authors":"Junnan Li, Xiaoping Wang","doi":"10.1109/ICCSIE55183.2023.10175312","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175312","url":null,"abstract":"Temporal concept shift (TCS) is an unavoidable problem in physiological signal-based emotion recognition tasks, i.e., the data distribution of physiological signals is constantly changing over time, which gradually degrades the model accuracy. To this end, we propose a method based on a combination of domain adaptation and incremental learning to reduce the impact of temporal concept drift. In this paper, domain adaptation is used to reduce the distribution differences and incremental learning is used to prevent the learned knowledge from being forgotten. Finally, we validate the effectiveness of our approach on two real datasets.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"6 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":"114757840","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}
Heng-wei Zhang, Shijie Yan, Tong Wang, Yunfeng Zhou, Bolin Wang
{"title":"Power Flow Calculation Method of Three-phase Unbalanced Distribution Network Based on Data-mechanism Fusion Model","authors":"Heng-wei Zhang, Shijie Yan, Tong Wang, Yunfeng Zhou, Bolin Wang","doi":"10.1109/ICCSIE55183.2023.10175245","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175245","url":null,"abstract":"A large power error is caused by traditional power flow algorithm applied to actual three-phase unbalanced distribution network, so a novel power flow calculation method is proposed based on data-mechanism fusion model. Through the analysis of the power flow calculation errors, it was found that the main reason for the errors is that the actual transformer loss cannot be truly calculated based on the mechanism model of transformer under the condition of three-phase unbalance. On basis of the historical operation data in the distribution network, a data and mechanism fusion modeling method is adopted, and the mechanism model is used to guide the establishing of the data model. Firstly, grey relational analysis is used to select the key feature variables for the soft sensing model of transformer loss. Meanwhile, combined with the Tent-SSABP algorithm, the soft sensing model of the transformer loss value is established. Then, it is embedded into the three-phase power flow algorithm to replace the mechanism model of transformer, and a data-mechanism fusion power flow calculation has been achieved. Finally, the power flow calculation method proposed is verified in an actual research projection. The results show that the proposed method has higher accuracy than the traditional power flow algorithm using the mechanism model of transformer.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"3 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":"124548638","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}
Rui Wang, Qiuye Sun, Yanfeng Zhang, Min Huang, Xingwei Wang
{"title":"Speed Sensorless Vector Control Strategy for Permanent Magnet Synchronous Motor with Fan and Pump Load","authors":"Rui Wang, Qiuye Sun, Yanfeng Zhang, Min Huang, Xingwei Wang","doi":"10.1109/ICCSIE55183.2023.10175298","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175298","url":null,"abstract":"Operating efficiency and high cost performance are challenging the application of the permanent magnet synchronous motors, and furthermore, characteristics of fan-pump load are becoming even more important. To achieve foresaid aims for permanent magnet synchronous motors providing energy to fan-pump load, this paper proposes a starting strategy of speed open-loop-current closed-loop control with current-frequency ratio in low speed section. Firstly, the rotor position is estimated by Lumberg observer in middle and high speed section, and the vector control method of speed-current double closed-loop is switched. Secondly, the starting process of current-frequency ratio speed open-loop and current closed-loop is studied, and the conditions of stable starting and acceleration are given. Thirdly, a state switching strategy of open-loop algorithm and closed-loop algorithm is proposed to ensure that the torque does not change abruptly during the switching process. Furthermore, a method of rotor stalling detection based on back EMF calibration is proposed, which detects the stalling state of rotor during buffeting. Moreover, the design rule of the PI parameter of the current loop in vector control is derived. Eventually, the experiment results verify the proposed method performance.","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":"131852902","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}
{"title":"Security Situation Assessment and Prediction of Power System Key Nodes","authors":"Tianlun Jiang, Wenxia Liu","doi":"10.1109/ICCSIE55183.2023.10175211","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175211","url":null,"abstract":"The key node deactivation state has a certain impact on the security of the power system, so this paper proposes a power system key node security situation assessment method. By collecting multiple factors affecting the security of key nodes in power systems, studying the impact of key node deactivation on power systems, establishing a key node deactivation assessment method based on the identification model of scenario-based vulnerability nodes and facilities in power systems, and then analyzing the impact on the stability of power grids, and using the historical posture values to predict the security posture of power grids at a future point in time. And the prediction model is verified to have higher prediction accuracy by IEEE-39 bus system.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"40 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":"127267925","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}
BoWen Chen, Jun Yang, JiaHao Pan, Bowen Zhou, AoLing Yang
{"title":"Active Splitting of Power System With Flexible Switch Under Cloud-Station Cooperative Architecture","authors":"BoWen Chen, Jun Yang, JiaHao Pan, Bowen Zhou, AoLing Yang","doi":"10.1109/ICCSIE55183.2023.10175207","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175207","url":null,"abstract":"The complicated faults in the power grid will lead to grid splitting problems in the context of the power Internet of Things. In order to ensure the safe and reliable operation of the power grid, it is necessary to solve the problem of splitting caused by the information physical failure of power grid and information network. First, a Cloud-Station collaborative information transmission framework is proposed. The distributed information transmission mechanism under the information transmission framework is described. The advantages of the above framework in dealing with power grid information failures are analyzed. Then, an active splitting strategy is proposed for power system with flexible switches under severe faults (including optical fiber communication interruption) of power grid by the improved spectral-clustering algorithm. When the power grid is splitting, the flexible switch is put into operation and controls the power flow to balance between the disconnected subsystems. The improved strategy considers the basic constraint, while adds the connection constraint of flexible switch and the modification of generator homology constraint to the operator. It can realize stability of the system after splitting in frequence and voltage, to ensure the transient stability of the power grid which facilitating the restoration of the power grid after faults. The above models are constructed in PSCAD for simulation, and the simulation results shows that the algorithm proposed in this paper is efficient.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"30 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":"124962800","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}
Chizhi Zhang, Chang Xiao, Hu Chen, Ziyu Zhang, Tao Ding
{"title":"Decomposition and Parallel Computation for Operation Optimization of Medium and Long term Cascaded Hydropower Units","authors":"Chizhi Zhang, Chang Xiao, Hu Chen, Ziyu Zhang, Tao Ding","doi":"10.1109/ICCSIE55183.2023.10175306","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175306","url":null,"abstract":"Climate change and environmental pollution are global issues facing mankind. The energy transformation is currently a social issue of global concern, and the focus is on the power industry to vigorously develop clean energy. Hydropower is the most mature renewable energy source and has been in a priority position in the energy mix. In this paper, we propose a decomposition and parallel calculation method to optimize the operation of medium and long-term cascaded hydropower units. Firstly, a model for optimal scheduling of cascaded hydropower units is established. Then, the model is decoupled in time based on the augmented Lagrangian relaxation. And the diagonal quadratic approximation method is introduced to ensure the decomposability of the decoupled problem so that the subproblems can be computed in parallel. In addition, an arithmetic analysis is performed with actual data to verify the effectiveness of the proposed method.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"5 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":"122127128","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}
{"title":"A Benders Dual Decomposition Approach for Multi-Area Economic Dispatch with valve point effect*","authors":"Silu He, Bo Zhou","doi":"10.1109/ICCSIE55183.2023.10175311","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175311","url":null,"abstract":"In this paper, we consider the multi-area economic dispatch problem with valve point effect. The valve point effect depict the phenomenon that the pulsation effect that occurs when the turbine gas valve opens suddenly is superimposed on the unit consumption curve, which makes the optimization problem to be non-convex and non-stationary. In order to find its optimal solution, we first reformulate the original optimization problem into a mixed integer linear program (MILP) by linearizing its objective function. Then, we leverage the Benders dual decomposition method to solve the MILP, where the Lagrangian relaxation is utilized to the Benders subproblems so as to accelerate the solution efficiency. Finally, we conduct a numerical example to validate the theoretical analysis.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"56 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":"121033813","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}
{"title":"BiLSTM Network-Based Approach for Electric Load Forecasting in Energy Cell-Tissue Systems","authors":"Zhengping Li, Fei Yu, Qi Guan","doi":"10.1109/ICCSIE55183.2023.10175285","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175285","url":null,"abstract":"To solve the problem of load forecasting in energy cell-tissue systems, this paper analyzes the correlation between different cells, and proposes a load forecasting method that considers the correlation between energy cells for their different load characteristics. Firstly, the energy cells are clustered using the clustering algorithm, and then select energy cell historical data with strong correlation to form a time series, which is input into the bidirectional long short term memory (BiLSTM) network for load forecasting to improve the accuracy of the prediction.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"9 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":"127148496","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}
{"title":"Optimal Scheduling of Integrated Energy System Considering Source-Load Uncertainty","authors":"Han Zhang, Jun Yang, Hanguang Su","doi":"10.1109/ICCSIE55183.2023.10175232","DOIUrl":"https://doi.org/10.1109/ICCSIE55183.2023.10175232","url":null,"abstract":"With the formulation of policies related to the \"double carbon\" target, the construction of a low-carbon and environmentally friendly Integrated Energy System (IES) has become a hot research topic today. An scheduling model is proposed that takes into account the synergy between power-togas (P2G) and carbon capture. By introducing a framework for the synergistic use of carbon capture power plants (CCPP) and P2G equipment, the high concentration of carbon dioxide (CO2) captured is used as feedstock for P2G equipment, and a Carbon Storage Device (CSD) is proposed to solve the time mismatch between the capture and use of CO2. The interval optimization method is applied to address the uncertainty in the supply and consumption of energy, with the aim of improving the safe and efficient operation of the system. Simulation results show that the proposed model reduces carbon emissions and wind abandonment and achieves low carbon economic dispatch(LCED) of the IEGS.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"03 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":"129216374","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}