{"title":"Overvoltage Suppression Strategy for Offshore Wind Farm Integrated into AC Grid Through VSC-HVDC","authors":"Ming Feng, Yuancheng Yu, Lei Zhang","doi":"10.1109/ACPEE56931.2023.10135799","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135799","url":null,"abstract":"Overvoltage usually occurs when an ac failure is applied to an onshore system that includes an offshore wind farm. The onshore converter station's output power rapidly decreases under these conditions. Due to the coupling between the VSC-HVDC transmission line and the offshore wind farms, if no proper measures to regulate the active power are taken on the wind turbine or the VSC-HVDC transmission line, it will lead to the collapse of the whole system. While, if all wind turbine power is injected into the system according to the rated value, a surplus of energy will result in significant voltage surges, thus, it will cause serious damage to electrical equipment or a reduction in the expected life of electrical insulation. Then the whole VSC-HVDC transmission system will be turned off, and the overall stability of the electrical system may be jeopardized. An overvoltage suppression control strategy is proposed and tested on an offshore wind power system that is integrated into an ac system using VSCHVDC in this paper. To suppress overvoltage, the power regulation capacity of both the wind farms and the dc lines is used. To validate the proposed control strategy, an electromagnetic transient model is built which can simulate the dynamic performance of the wind farm integrating to ac grid through VSC-HVDC under various faults. The simulation results demonstrate that the proposed strategy can effectively suppress dc overvoltage. And it can ensure that the power of wind farms produced does not exceed the limits under various types of faults.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"147 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128797722","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":"Convex Optimization Method for Affine Arithmetic-based Optimal Power-Gas Flow under Wind Power Uncertainty","authors":"Xianghao Zheng, Feixiong Chen, Yixin Guo, Jianming Wang, Chunlin Jiang, Zhenguo Shao","doi":"10.1109/ACPEE56931.2023.10135762","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135762","url":null,"abstract":"As wind power develops by leaps and bounds, its uncertainty has posed huge challenges for operational planning for integrated electricity-gas system (IEGS). An approach based on affine arithmetic (AA) for optimal power-gas flow (OPGF) considering uncertainty of wind power is proposed. Based on convex envelope, AA-based OPGF model is developed without non-affine operations. Uncertain wind power is treated by affine form keeping track of relationships between uncertain variables. By introducing AA theory, AA-based OPGF model can be converted into deterministic multi-objective problem. Then a tightening convex envelope algorithm is employed to enhance solution feasibility of AA-based OPGF. Numerical results demonstrate the effectiveness of the proposed AA-based method compared with Monte Carlo method. In addition, the transmission tracks of uncertain factors are also revealed.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128803166","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}
X. Ye, Y. Jia, Jilin Zhang, Wentao Zhang, Chao Yang, Dongrong Jiang
{"title":"SoC Balancing Strategy of Multi Energy Storage System in Islanded Microgrids Considering Acceleration Factor Setting","authors":"X. Ye, Y. Jia, Jilin Zhang, Wentao Zhang, Chao Yang, Dongrong Jiang","doi":"10.1109/ACPEE56931.2023.10135866","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135866","url":null,"abstract":"In accordance with the issue of unbalanced state of charge (SoC) of battery energy storage system (BESS) in islanded AC microgrid, an improved droop control strategy is presented. Based on conventional P-f droop control, the scheme introduces the equalization factor in the form of exponential function to change the droop coefficient, consequently SoC equalization of BESS with different capacity is achieved by regulating the output power of the inverter. Furthermore, the small signal model of multi-inverter parallel system is established to explore the effect of acceleration factor on system stability, then the design basis of acceleration factor is discussed. In the end, the simulation example under various conditions demonstrates the availability of the improved control scheme and the correctness of the acceleration factor setting.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124679433","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}
Mu Fang, Rui Huang, Tianguang Lv, Chunxiu Liu, Xuetian Ding, Pengpeng Wang
{"title":"Research on state assessment method of key equipment in distribution network","authors":"Mu Fang, Rui Huang, Tianguang Lv, Chunxiu Liu, Xuetian Ding, Pengpeng Wang","doi":"10.1109/ACPEE56931.2023.10135928","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135928","url":null,"abstract":"Condition-based maintenance is a scientific maintenance method based on computer technology, monitoring technology, fault diagnosis technology, etc. It is an maintenance system centered on the working state of power equipment. Condition-based maintenance aims to judge the health status of equipment through reliable condition monitoring methods, effective evaluation methods and prediction techniques without affecting the normal operation of related power equipment. In order to make the evaluation index system fully reflect the real operating state of key equipment in the distribution network, and considering the operability of the state evaluation of distribution network equipment, five types of equipment including distribution transformers, switch cabinets, power cables, overhead lines, and pole-mounted switches were selected. , including the state parameters of test information, operation information, and inspection information, and referring to the formation mechanism of power distribution equipment faults, to establish a hierarchical state evaluation index system for key equipment in the distribution network.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124724717","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}
J. Su, Yuxin Ye, Peixuan Li, Wenxuan Li, Shuai Zhao, Jin Liu
{"title":"Quantification and Evaluation of Power System Flexibility under Different Time Scales","authors":"J. Su, Yuxin Ye, Peixuan Li, Wenxuan Li, Shuai Zhao, Jin Liu","doi":"10.1109/ACPEE56931.2023.10135650","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135650","url":null,"abstract":"At present, the proportion of new energy sources such as wind power and photovoltaic in the power system is gradually increasing, flexibility has gradually become one of the important evaluation criteria for the safe and stable operation of current and future power systems. As a power system measure of its ability to respond to uncertain events, reasonable quantification and analysis power system’s flexibility is a prerequisite. This paper, quantified the power system flexibility under two time scales of 15min and 1h, and then two flexibility evaluation indicators are proposed for ramp flexibility gap and peak-shaving flexibility gap. Finally, according to the actual data of a regional power grid, different time scales are selected, and the flexibility quantitative model of this paper is applied by random production simulation technology, and the flexibility of the power grid is quantified and analyzed, which verifies the effectiveness of the proposed model and puts forward prevention suggestions for the period of insufficient flexibility.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129460626","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}
Dexiang Li, Huijie Sun, Zhijian Du, Junhua Liao, Xiaoyang Zuo
{"title":"Analysis of the Influence of Electric Taxi Switching on the Operation of Electric Power Changing Station","authors":"Dexiang Li, Huijie Sun, Zhijian Du, Junhua Liao, Xiaoyang Zuo","doi":"10.1109/ACPEE56931.2023.10136025","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10136025","url":null,"abstract":"New energy electric vehicles are a sustainable mode of transportation with development potential because they are likely to reduce carbon dioxide emissions and air pollution, mitigate risks associated with oil resources, and be able to use renewable energy sources such as wind energy to achieve sustainability. The battery swapping behavior of new energy vehicles is the most important manifestation of its difference from the traditional fuel vehicle operation mode. However, there is no research on the impact of electric taxi swapping demand on the operation of power grid swapping stations. To tackle this issue, a novel approach is proposed in this paper. Specifically, we use data mining techniques to perform big data analysis of GPS data from fuel taxis operating to derive the operation patterns of existing taxis. The operation pattern is then used as the basis for the operation of electric taxis to obtain the impact of different switching demands on the operation of distribution network switching stations. This paper has an effective guiding role in the planning and operation of power exchange station construction for power companies. The method proposed in this paper has the potential to provide a reference strategy for the construction and operation of battery replacement sites for power companies, enabling them to reduce the cost of operating a replacement station while ensuring the quality of service at the station.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"95 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123362299","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":"Constructing Oscillatory Stability Region using a Random Forest Classifier","authors":"Linguang Wang, Xiaorong Xie, Dawei Chen, Zheng Yuan, Xiao Wang, Wenkai Dong","doi":"10.1109/ACPEE56931.2023.10135931","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135931","url":null,"abstract":"Oscillations generated by dynamic interactions between power electronics and grid are becoming one of the intractable issues in renewable powered systems. To know the stability region of oscillations is important for the evaluation of oscillation risk in a practical power system. Conventionally, oscillatory stability region is constructed using pointwise method, which has disadvantages in computational efficiency. To fill this gap, this paper proposes a novel approach to the stability region construction using a random forest classifier. Firstly, an oscillation stability analysis program is developed to obtain stability datasets for a power system with different parameters. Then the max-relevance and min-redundancy (mRMR) method is utilized to select critical features for the adoption of random forest. Finally, the oscillatory stability region is identified with random forest based on the selected critical feature. Validity of the method is validated using a grid-connected voltage source converter (VSC) system.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"121 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120849344","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 Energy Management of Aggregated Demand Side Resources in a Microgrid – taking Office Buildings and Electric Vehicles as an Example","authors":"Wentao Xu, Jianfeng Gong, Xiaolong Jin, Wei Wei, Shuo Liang, Hanchen Wang","doi":"10.1109/ACPEE56931.2023.10135935","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135935","url":null,"abstract":"An optimization method for efficiently managing the energy consumption of aggregated demand side resources (DSRs) in a Microgrid (MG) is proposed. A comprehensive physical model for an office building is constructed, taking into account the thermal dynamics due to the building’s envelope, and the flexible loads, such as the heating, ventilation, and air conditioning (HVAC) system and the electric vehicle (EV). The HVAC is controlled to enable the building participate in a demand response program while keep the customers’ comfort levels at a certain range. The EV is modelled as another demand side resource which can also be dispatched in a demand response program when they are parked in the office buildings. Finally, the simulation findings illustrate the effectiveness of the suggested approach in efficiently managing energy consumption across office buildings and EVs, resulting in cost savings for the DSRs.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121510971","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}
Desheng Zhang, Zhihao Wang, L. Ding, Guofang Zhu, Yifei Guan, Ting Wang
{"title":"Optimal Current Allocation Strategy of DFIG-based Wind Farm during LVRT","authors":"Desheng Zhang, Zhihao Wang, L. Ding, Guofang Zhu, Yifei Guan, Ting Wang","doi":"10.1109/ACPEE56931.2023.10135883","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135883","url":null,"abstract":"An optimal current allocation strategy for doubly-fed induction generator (DFIG)-based wind farms during low voltage ride-through (LVRT) is proposed in this paper. According to the current constraint of converters, the active/reactive operating domain of the DFIG-based WTG generator (WTG) is depicted, which gives that the WTG has different support capacity with different operating points. It is meaningful to allocate the current with consideration of its operating points. For different voltage dips, the same margin and the maximum active current principle are used respectively to optimize the current allocation. A fault voltage support datasheet is formed and sent to the WTGs in advance. Once a fault occurs, WTGs can react quickly to support active and reactive current according to the datasheet. The proposed control strategy can take full advantage of the remaining capacity and maximize the active current support in slight and severe fault condition, respectively. It is validated by simulation with DIgSILENT PowerFactory. The results verify the effectiveness of the proposed control strategy.1","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114778284","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":"Integrated Optimal Scheduling Strategy for VSG Microgrids Based on Improved Multi-objective Genetic Algorithm","authors":"Jiahang Sun, Moucheng Zhang, Hao Cao, Jingguang Huang","doi":"10.1109/ACPEE56931.2023.10135847","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135847","url":null,"abstract":"The coordinated control and energy management of different resources in a high proportion of new energy microgrids is a key issue to be addressed. In this paper, a coordination and optimal dispatching model is developed for microgrids containing VSGs in the context of low carbon and environmental protection, taking into account low carbon and environmental protection, reliability and economy. The model considers the virtual inertia and reserve capacity of each type of VSG in terms of reliability, and the operating costs of each generation unit, interruptible load compensation costs, ladder carbon trading costs and pollutant treatment costs in terms of low-carbon environmental protection and economics. Finally, the improved INSGA2-DS multi-objective optimisation genetic algorithm is used to solve the model and carry out comprehensive optimisation of the power regulation and economic dispatch of the inverter and each power source, solving the problems of long computation time and difficulty in adapting the traditional INSGA2-DS algorithm to complex optimisation models. The simulation results validate the rationality and effectiveness of the proposed model, and realise the effective dispatch of the microgrid in a low-carbon, environmentally friendly and economic manner.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114867923","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}