{"title":"Optimal Dispatching Model of Integrated Energy System Considering Power to Gas and Carbon Capture System","authors":"Mingquan Ba, Xingmin Li, Qiushi Ru, Zhigang Song, Quan’e Zhang, Shuaibing Li","doi":"10.1109/AEES56284.2022.10079383","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079383","url":null,"abstract":"In order to improve the renewable energy consumption capacity and carbon emission benefit of park-level integrated energy system (PLIES), an optimal dispatching model including coupled power to gas (P2G) and carbon capture system (CCS) is proposed. Firstly, a coupling model of P2G and CCS is established, and the coupling model is introduced into PLIES with gas-fired cogeneration as the main unit. Secondly, taking the lowest economic operating cost as the objective function, a PLIES low-carbon economic dispatching model with coupling P2G and CCS is constructed. Finally, this paper takes an industrial park in the north as an example and sets two different scenarios for example analysis. The simulation results show that the proposed model can effectively reduce emissions and achieve efficient utilization of renewable energy.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"685 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133131106","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":"Investigation on Aging Characteristics of Anti-pollution Flashover Coating under AC Voltage","authors":"Qingping Zhang, Xuefeng Li, Zhenhua Yan, Xiuguang Li, Zhipeng Shi, Yongqiang Kang","doi":"10.1109/AEES56284.2022.10079393","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079393","url":null,"abstract":"Room temperature vulcanized (RTV) silicone rubber coating has excellent hydrophobic performance and anti-pollution flashover characteristics, widely used in various high-voltage power equipment in China's power system. However, the insulation performance of RTV coating decreases rapidly due to aging and failure caused by long-term physical and chemical effects such as electric heating and ultraviolet. In this paper, the AC samples of RTV coating in Ningxia power grid were selected for a series of tests. The aging characteristics of RTV coatings with different years were analyzed from the aspects of sample appearance inspection, hydrophobicity, Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM). The results showed that RTV coating of in Ningxia power grid operates well, and hydrophobicity of the coating surface is remained in HC1~ HC2 level, which meets the requirements of equipment anti-pollution performance. Through FTIR and SEM analysis, it was found that the change of peak area of characteristic functional groups on the inner and outer surfaces is related to the migration of small molecules in the RTV coating, and the cracking of main chain functional groups was the main reason for the aging of RTV coating. Moreover, small molecular substances are easy to enter and stay in the coating due to the rough surface of RTV coating and the heavy pollution characteristics in Ningxia, which increasing the hydrophobicity of the coating surface. The research results will provide a scientific basis for the aging mechanism and insulation performance evaluation of AC anti-pollution flashover coating in Ningxia power grid.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116487091","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}
Jianghui Wang, Keling Fei, Guo-Liang Wang, Xiaoxian Cai
{"title":"Research on Transient Power Quality Disturbance Classification Based on Wavelet Hidden Markov Tree and Support Vector Machine","authors":"Jianghui Wang, Keling Fei, Guo-Liang Wang, Xiaoxian Cai","doi":"10.1109/AEES56284.2022.10079615","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079615","url":null,"abstract":"Aiming at the problem that the modes of transient power quality disturbance are complex and difficult to classify, a new model based on Wavelet Hidden Markov Tree (WHMT) and Support Vector Machine is proposed. Taking into account the inherent properties of wavelet transform, WHMT has the merit of using a probabilistic model to capture key characteristics of considered signal, and achieves significant denoise effect at the same time. Expectation maximization algorithm is utilized for fitting the WHMT to observational data. Then, denoising is accomplished, and Support Vector Machine is utilized to classify the extracted features. Simulation experiments under different noisy environments are designed to verify the performance. Results show that this method achieves high recognition accuracy and strong anti-noise ability with fewer features.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128537884","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}
Daqi Zhang, Shuaibing Li, Bing-zheng Cao, Yongqiang Kang
{"title":"Review of Defect Inspection Method of Cable Terminals","authors":"Daqi Zhang, Shuaibing Li, Bing-zheng Cao, Yongqiang Kang","doi":"10.1109/AEES56284.2022.10079340","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079340","url":null,"abstract":"As the XLPE (Cross-linked polyethylene) and EPR (Ethylene propylene rubber) cable terminals are increasingly utilized in transmission and distribution networks, as well as the traction power supply systems of the high-speed railways, their defects and failures have attracted considerably attentions for both the industry and the scholars. Simultaneously, the standards for the safe operation of the electricity system are becoming increasingly stringent. As a relatively weak link in the cable insulation, the cable terminals have a high failure rate during its operation. Therefore, this study summarizes the most prevalent forms of cable terminal faults discovered by field operators and researchers, as well as the methods commonly employed to detect cable terminal failures. This paper can provide an overall horizon to the freshman of this field and give a comprehensive summary of the current trend in defect inspection method of cable terminals.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134422435","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":"Low Frequency Oscillation Suppression of Vehicle-Network Coupling Voltage in High Speed Railway Based on Onboard Energy Storage Equipment","authors":"Shaohang Li, Ying Wang, Xiaoqiang Chen, Siyuan Tang, Hang Yang, Ya-fei Guo","doi":"10.1109/AEES56284.2022.10079530","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079530","url":null,"abstract":"The low frequency oscillation phenomenon in the coupling system of numerous electric locomotives and traction network leads to traction blockage and abnormal operation. In this paper, a new low frequency oscillation suppression method based on on-board energy storage device is proposed. First, the equivalent model of the electric locomotive-traction network coupling cascade is established. The critical conditions of low frequency oscillation are analyzed by impedance ratio criterion and Bode diagram. Then, power compensation control strategy (PCCS) is used to control the energy storage system. The equivalent model of electric locomotive-traction network coup-ling cascade with an energy storage system was established, and the stability of the cascade system was analyzed by impedance ratio criterion. The simulation results verify that the electric loco-motive with an energy storage system (ES) based on PCCS can suppress the low frequency oscillation of multiple electric locomotive-traction network coupling systems. Compared with the traditional PI controller, this method can increase the steady-state and dynamic performance of the system, including reducing fluctuation, response time and increasing the gain margin of DC voltage.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133384471","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 Allocation of Energy Storage Capacity of Distribution Grid Based on Improved Particle Swarm Optimization Algorithm","authors":"Yimin Li, Qingquan Lv, Zhenzhen Zhang, Haiying Dong","doi":"10.1109/AEES56284.2022.10079490","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079490","url":null,"abstract":"Due to the large increase in the proportion of renewable energy such as wind energy and solar, it is necessary to configure energy storage in the distribution grid to make it economically and stably run. In this paper, the system economy and stability are taken as the optimization indexes, and the voltage deviation index and the life cycle costs of energy storage are considered to establish the optimal allocation model of energy storage in distribution grid. On this basis, the improved particle swarm optimization (IPSO) is used to solve the model, so that the optimal allocation scheme is obtained. Finally, in MATLAB software, the simulation verification of power flow calculation and optimal allocation of energy storage is carried out with the improved IEEE33 node example. The results show that the method and model used in this paper can improve the voltage stability of distribution grid and reduce the investment and operation costs of energy storage devices.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121789494","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":"The Study on a Practical Method for Distributed Photovoltaic Capacity Forecasting","authors":"Ruanming Huang, Xiaohui Wang, Fei Fei, Haoen Li, Yumeng Jiang, Yutian Zhang","doi":"10.1109/AEES56284.2022.10079352","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079352","url":null,"abstract":"With the rapid development of distributed photovoltaic (PV), the prediction of the installed scale and generation power of distributed PV plays an important role in studying the impact of PV on the power grid. The paper proposes a method for forecasting the installed capacity of distributed PV which takes into account the impact of changes in the return on investment (ROI) of the distributed PV. Case Study takes Shanghai as an example and estimates its distributed PV installation potential and forecasts the installation scale in the next few years.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122005620","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}
Lei Qin, Qingquan Lv, Zhenzhen Zhang, Na Sun, Haiying Dong
{"title":"Smoothing Control Strategy of Hybrid Energy Storage System Based on Kalman Filter and Empirical Mode Decomposition","authors":"Lei Qin, Qingquan Lv, Zhenzhen Zhang, Na Sun, Haiying Dong","doi":"10.1109/AEES56284.2022.10079661","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079661","url":null,"abstract":"In view of the fluctuation of wind farm output power, this paper proposes a smoothing control method of hybrid energy storage system based on Kalman filter and empirical mode decomposition, which is based on the actual wind farm power data. Firstly, the Kalman filter is used to obtain the target grid-connected power and the total smoothing power control signal of the energy storage system. Then, considering the working characteristics of different energy storage media of Hybrid Energy Storage System (HESS), Empirical Mode Decomposition (EMD) is used to obtain each intrinsic mode component within the allowable range of charging and discharging frequency, and the Hilbert transform is used to obtain the main frequency of the energy storage power signal, so as to determine the filtering time constant and assign the high-frequency fluctuation to the super capacitor. The low frequency fluctuation is borne by the battery. Finally, the effectiveness and accuracy of the method are verified by simulation. The simulation results show that this method can effectively suppress the power fluctuation of wind farm, which is of great significance to improve the power quality of wind power integration and enhance the stability of power system.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129758338","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 Constraints Handling Method for Evolutionary Optimization Algorithm in Solving Hybrid Dynamic Economic Emission Dispatch","authors":"Yubin Yao, Tianfeng Ren","doi":"10.1109/AEES56284.2022.10079493","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079493","url":null,"abstract":"With the rapid development of renewable energy, hybrid dynamic economic emission dispatch (HDEED) which considering renewable energy has gradually become a heated topic. HDEED is a non-convex, strongly constrained, high-dimensional multi-objective optimization problem, which usually solved by evolutionary optimization algorithm. In order to meet the constraints in HDEED, this paper proposes a new constraints handling method. The proposed method distributes the imbalance power among power generators in a weighted or prioritized way under the premise of preferential consumption of renewable energy and satisfying inequality constraints. The method not only meets all constraints in HDEED problem, but also improves convergence of the algorithm and the diversity of the Pareto solution set. A case involving thermal power units, wind farms and photovoltaic plant is used to test the performance of the proposed method which combined with a classical multi-objective evolutionary optimization algorithm NSGA-II. The result shows that the proposed method is effective and superior to the compared methods.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"11 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121144285","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 Secondary Frequency Control Based on MPC Considering Distributed Energy Storage","authors":"Bingqing Yu, Zhicheng Ma, Wenfei Liu, Haiying Dong","doi":"10.1109/AEES56284.2022.10079400","DOIUrl":"https://doi.org/10.1109/AEES56284.2022.10079400","url":null,"abstract":"The integration of extensive new energy has changed the original network structure and reduce the stability of the power grid, and especially puts forward higher requirement for the frequency response ability of the power grid. Therefore, based on model predictive control (MPC), this paper proposes a grid load frequency control (LFC) method with the participation of distributed battery energy storage system (BESS). Firstly, the principle of BESS participation in the secondary frequency regulation is analyzed, and on this basis, the dynamic frequency response model of the power grid with the participation of BESS is established. Finally, based on the different frequency regulation characteristics of traditional generator and BESS, the distributed coordinated optimal control of multiple frequency control sources is realized by MPC. The simulation results show that the proposed model prediction controller can quickly eliminate the frequency deviation and realize the coordinated operation of distributed BESSs and traditional generator in the grid frequency regulation.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"341 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122756579","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}