{"title":"Decomposed Unit Commitment of Integrated Electricity and Natural Gas System with Dynamic Gas Flow Considered","authors":"Xuewei Wu, Zhe Chen, Jiakun Fang","doi":"10.1109/AEEES54426.2022.9759819","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759819","url":null,"abstract":"Since the renewable energy penetration in electricity system is getting more and more increased, new strategy is desired to help accommodate the fluctuated renewable energy. This paper proposes a transient-state gas flow model based unit commitment of integrated electricity and gas system (IEGS) with a decomposition optimization scheme adopted to satisfy the privacy protection requirements of system operators. The problem is solved decomposedly in an iteration procedure and the convergence of solution is guaranteed as well. Case study is conducted on a 6-bus 7-node system to verify the effectiveness of renewable energy accommodation capability. Besides, comparison between centralized optimization and the proposed decomposed optimization demonstrates that the adopted decomposition optimization scheme can find the global optimal integer variables, which further verify the validity of the proposed strategy.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129984864","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}
Jishen Cao, Kai Li, Xiangyu Luan, Chengjie Han, Hao Tang
{"title":"DC-DC Current Perturbation Based EIS Measurement for PEM Stack","authors":"Jishen Cao, Kai Li, Xiangyu Luan, Chengjie Han, Hao Tang","doi":"10.1109/AEEES54426.2022.9759681","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759681","url":null,"abstract":"Electrochemical Impedance Spectroscopy is effective in monitoring the internal operation states of Proton Exchange Membrane stack. Impedance data can be used for feedback control and advance fault diagnosis to improve the durability and reliability of stack. In this paper, an online impedance measurement system based on DC-DC current perturbation was designed. As two modules of this system, a DC-DC converter with wide frequency perturbation ability, and a signal condition circuit which can acquire perturbation current and response voltage accurately were also designed. Furthermore, the effectiveness of the designs was verified by simulation and experiment. Results show that the measurement system is highly accurate (maximum error <6%) and can be easily implemented with low cost. Overall, the system offers great potential to accomplish online monitoring and fault diagnosis of the proton exchange membrane fuel cells or electrolysis cells.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130138503","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":"Insulator Defect Detection Based on Improved Faster R-CNN","authors":"Jinpeng Tang, Jiang Wang, Hailin Wang, Jiyi Wei, Yi Wei, Mingsheng Qin","doi":"10.1109/AEEES54426.2022.9759683","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759683","url":null,"abstract":"In recent years, deep learning has been widely used to identify defects of insulators. This paper proposed an improved Faster R-CNN model based on deep learning to improve the accuracy of fault detection. This method is based on the original Faster R-CNN detection framework to make three improvements: First, ResNet50 is selected to replace VGGNet16 as the feature extraction network. Secondly, the feature pyramid network is used for feature fusion. Thirdly, RoIAlign is used to replace RoIPooling network to reduce the impact of quantization. The dataset in the experiment is 720 marked UAV aerial insulator images, which were divided into training set and test set according to the ratio of 8:2. The mAP of the improved network model reached 84.37%. Compared with the original framework, mAP increased by 7.52%. The results show that the improved network reduced the missed detection rate and false detection rate. On the basis of improving the recognition accuracy, it can better meet the needs of high accuracy in actual scenarios.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128891836","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}
Ran Shen, Liangfeng Jin, Yifan Wang, Qingjuan Wang, L. Ni, Haiyue Yu
{"title":"Classification and Potential Evaluation of Residential Users in Demand Response Based on NILM Data","authors":"Ran Shen, Liangfeng Jin, Yifan Wang, Qingjuan Wang, L. Ni, Haiyue Yu","doi":"10.1109/AEEES54426.2022.9759688","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759688","url":null,"abstract":"Power system demand response (DR) has been carried out around the world, and a large number of large-capacity users represented by industrial and commercial users have participated in it. However, the reserve resources required by the system are increasing year by year, and more resources are needed to participate in DR. Facts have proved that resident users also have the potential to respond to demand, and can participate in DR. Especially with the promotion of non-intrusive load monitoring instruments, the user data that can be obtained is more detailed. These data provide a more accurate reference for their participation in DR. In this paper, based on the non-invasive load monitoring data, the user classification technology based on Fuzzy C-Means Clustering is studied and the users with large adjustable quantity are screened out. Then three residential devices with high response potential are modeled, and their approximate response potential is given. Finally, based on the data of a residential area in Hangzhou City, Zhejiang Province, China, an example is analyzed.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132430062","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}
Junjie Lan, Jinlin Wei, Ting Luo, Dabin Huang, Hao Zhang, Bo Yang
{"title":"MRFO-AEO Based Batteries Parameter Identification for Life Prediction","authors":"Junjie Lan, Jinlin Wei, Ting Luo, Dabin Huang, Hao Zhang, Bo Yang","doi":"10.1109/AEEES54426.2022.9759404","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759404","url":null,"abstract":"In this paper, a novel hybrid algorithm based on manta ray foraging optimization (MRFO) and artificial ecosystem-based optimization (AEO), called MRFO-AEO, is proposed to identify the battery parameters based on a third-order Thevenin equivalent circuit model. To improve the accuracy and stability of the battery parameter identification, MRFO-AEO discards the random search operation in the MRFO cyclone foraging operator and dynamically coordinates the AEO decomposition operator and the improved MRFO tumble foraging operator with the iterative process to reasonably balance the local exploration and global search. And the validity of the battery model and the feasibility of the algorithm are verified under the experimental data of battery discharge at the Kunbei converter station in Yunnan, China.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132505290","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":"Knowledge Guidance Based Work Ticket Intelligent Generation of Electric Power Equipment Inspection","authors":"Jiannan Xu, Huifang Xu, Jingcheng Chen, Chunyu Deng, Yongping Xiong, Y. Qi","doi":"10.1109/AEEES54426.2022.9759626","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759626","url":null,"abstract":"Electric power inspection work ticket is an important text document in the electric power inspection business. The current methods of generating work tickets have problems such as irregular manual filling, low efficiency, and poor knowledge library portability, etc. To solve the problems, this paper constructs the knowledge graph (KG) in the field of power inspection and proposes a knowledge-guided method for intelligently generating work tickets of electric power inspections. Firstly, the named entity of the component or part in the work order is recognized by applying a bidirectional long and short-term memory network (Bi-LSTM) and conditional random field (CRF). Secondly, the bi-encoder is applied for entity disambiguation to make the entity-mention with the description text of defect in the work order corresponds to the node of the component or part defect in the KG. Finally, the relevant paths of the target linked entity are inquired in the KG, and the semantic similarities based on the cosine distance between the text of work order and the texts of paths are calculated to select the optimal path, and the nodes under this path are filled in the slot to generate work tickets. This paper conducts simulation experiments and analysis results for named entity recognition, entity disambiguation, and semantic similarity comparison to verify the effectiveness of work ticket intelligent generation of electric power inspection.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126627805","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":"An Improved Fault Restoration Strategy for Distribution Network Power System","authors":"Mengyao Liu, Chao Zhang","doi":"10.1109/AEEES54426.2022.9759680","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759680","url":null,"abstract":"For problems of distribution network fault restoration, this paper proposes an improved fault restoration strategy based on minimum spanning tree algorithm and heuristic rules. Firstly, the whole distribution network is regarded as a weighted graph, and on the basis of power flow calculation, the Kruskal algorithm is used to solve the minimum spanning tree of the network to find the optimal restoration path that satisfies multiple constraints. Then, the heuristic rules for cooperative recovery of feeder and distributed power supply in the restoration path are established, the residual capacity of feeder and distributed power supply after fault is analyzed, and the problem of line voltage exceeding limit is eliminated by connecting switch. The search space for power supply restoration problems is greatly reduced. Finally, Matlab is used to test node system in IEEE 33 and the improved IEEE 123 to verify the proposed method.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121285313","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}
Kai Yang, Jian Li, Guangdou Zhang, Y. Xing, Olusola Bamisile, Qiyuan Huang
{"title":"A Cooperative Control Strategy against Cyber-attacks for Power System with High Penetration Wind Farm","authors":"Kai Yang, Jian Li, Guangdou Zhang, Y. Xing, Olusola Bamisile, Qiyuan Huang","doi":"10.1109/AEEES54426.2022.9759822","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759822","url":null,"abstract":"High-proportion renewable energy and cyber-attacks bring multiple uncertainties into the modern power system. Both the uncertainties and load disturbance can cause a frequency fluctuation. To deal with this problem, a frequency cooperative control strategy is proposed in this paper. The proposed cooperative control scheme consists of a PI controller for thermal generators and a PID compensation controller for wind farms. The parameters of the proposed controllers are calculated by the Particle Swarm Optimization (PSO) algorithm. The comparison simulation on the power system with wind farms and cyber-attacks illustrates that the proposed controller can effectively decrease the frequency oscillation.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121832767","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}
Guangdou Zhang, Jian Li, Y. Xing, O. Bamisile, Qi Huang
{"title":"Grid-Forming Converter in High Penetration of Converter-Interfaced Generation Large-Scale Power System: A Review of Synchronization Stability","authors":"Guangdou Zhang, Jian Li, Y. Xing, O. Bamisile, Qi Huang","doi":"10.1109/AEEES54426.2022.9759663","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759663","url":null,"abstract":"The high penetration of electronic and converter-based generation (CBG) is the trend of the future power system. The working mode of converters in realistic large-scale gird nowadays are gird-following mode which needs a synchronous machine to build the reference voltage and the renewable resource feeding the grid. With increasing renewable energy resources, it is important to make the converters work as a voltage source to form the grid which is called the grid-forming control frame work. Although there are some applications of the grid-forming converter in Microgrids, its implementation in a large-scale system is still an issue that is more complicated thus should be discussed. The stability issue of converter connected to the traditional power grid is the key problem that limits the development of renewable energy. This paper reviews this issueandreportstheresearchonthisdecades.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121843103","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 Ripple-Free Capacitor-Less Design with Unbalanced Operating Points for Input-Parallel Output-Series DAB Fed Single-Phase VSI","authors":"Zhenchao Li, Yan Zhang, Jinjun Liu","doi":"10.1109/AEEES54426.2022.9759557","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759557","url":null,"abstract":"The low-frequency pulsating power inherent in single-phase system is harmful to the renewable source and output power quality. All existing solutions have to introduce extra components or bulky electrolytic capacitors. In this paper, Input-parallel Output-series DAB with unbalanced operating points (UOP) is adopted as the front-end dc/dc converter. The low-frequency power can be fully compensated by the very small output capacitors, and both the input current and dc bus voltage are ripple-free. A comprehensive comparison between UOP and traditional method is conducted based on simulation results. It shows that fifty-three times dc bus capacitance requirement can be reduced using the UOP method. Furthermore, a parameters optimization scheme based on semiconductor current stress is proposed and tested.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123764514","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}