{"title":"Deformation Simulation Analysis of Aluminum Strands of Conductor","authors":"J. Qin, J. Wan, Ning Jia, L. Qiao, Gang Li","doi":"10.1109/iSPEC50848.2020.9350997","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9350997","url":null,"abstract":"When the conductor passes through the pulley with large wrap angle during construction of overhead transmission lines, it is easy to cause the deformation and looseness of aluminum strands of conductor. The conductor is researched in this paper on the deformation of aluminum strand of the conductor passing through the pulley under different tensions. The finite element analysis model of conductor is established by beam element, and the model is calculated with different working conditions under the bending loading and unloading states. The simulation results shown that the plastic deformation of aluminum strand increases with the tension. Compared with the plastic strain of aluminum strand in different layers, an interesting fact is shown that the maximum deformation occurs in the adjacent outer layer, not the outer layer or inner layer, which will help us to grasp further the deformation law of strand.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125068616","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}
Huiqiao Liu, Qian Xiao, Zhipeng Jiao, Jinhao Meng, Yunfei Mu, K. Hou, Xiaodan Yu, Shiqi Guo, H. Jia
{"title":"LightGBM-Based Prediction of Remaining Useful Life for Electric Vehicle Battery under Driving Conditions","authors":"Huiqiao Liu, Qian Xiao, Zhipeng Jiao, Jinhao Meng, Yunfei Mu, K. Hou, Xiaodan Yu, Shiqi Guo, H. Jia","doi":"10.1109/iSPEC50848.2020.9351029","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351029","url":null,"abstract":"Remaining useful life (RUL) prediction for electric vehicle battery (EV battery) is of great significance for the early replacement and regular maintenance of batteries with potential safety hazards in driving conditions. This paper proposes a novel method based on light gradient boosting machine (LightGBM) to predict the RUL of the battery under driving conditions. LightGBM uses the histogram optimization strategy to reduce the number of traversal of the data sample set and improve the robustness of the method; the depth-first splitting (leaf-wise) strategy reduces the risk of overfitting; the gradient-based one-sided sampling strategy (GOSS), reduce the data dimension; use the exclusive feature bundling strategy (EFB) to reduce the feature dimension. However, the LightGBM method has the difficulty of parameter setting. Therefore, this paper uses Hyperopt based on distributed asynchronous algorithm configuration/hyperparameter optimization to optimize its complicated hyperparameters. Subsequently, the method was applied to the prediction of battery RUL under simulated driving conditions. Based on the comparative cases, the results show that this method can guarantee the rapidity, accuracy and robustness of RUL prediction under the condition of low memory usage.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130559774","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}
Caifei Hu, L. Tong, Xiaohui Li, Liqun He, Xueliang Fan
{"title":"Coupled Thermal-Electromagnetic Simulation of Magnetic Controlled Reactor Using Finite Element Method","authors":"Caifei Hu, L. Tong, Xiaohui Li, Liqun He, Xueliang Fan","doi":"10.1109/iSPEC50848.2020.9351124","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351124","url":null,"abstract":"Owing to the special working principle and construction of a magnetic controlled reactor (MCR), the temperature of some spots in its iron core during operation can be extremely high and even lead to equipment damage. To avoid this, the heat-dissipation in the core should be improved. To optimize the structure reasonably, simulation analysis of MCR should be performed in multiple trigger angles according to actual scenario. In this study, the finite element method (FEM) is used to establish a thermal-electromagnetic simulation model of a single-phase MCR. Homogenization method is applied to reduce the time consumption of modeling and computation. Simulation results in finite element (FE) model and small-slope model are presented and compared, including electric performance and characteristic of saturation level $boldsymbol{(beta)}$. The comparison results show that the FE model established in this paper is more consistent with the actual situation. Magnetic valve factor (MVF) is presented to analyze the variation law for the magnetic induction intensity, iron loss and temperature of MCR in multiple trigger angles. It is clear that the magnetic induction intensity, iron loss and temperature are always high in the magnetic valve. Therefore, the design of magnetic valve structure should be paid more attention.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131096015","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}
Chengxin Luo, Yuhao Zhou, Da Lin, Haizhen Zhang, Mingxiao Wang, Dongdong Ke
{"title":"Techno-economic Analyses of Steam Differential Pressure Power Generation in Integrated Energy System","authors":"Chengxin Luo, Yuhao Zhou, Da Lin, Haizhen Zhang, Mingxiao Wang, Dongdong Ke","doi":"10.1109/iSPEC50848.2020.9350924","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9350924","url":null,"abstract":"The cascade utilization of energy is an important subject of energy conservation research. This paper takes the gas-steam combined cycle as an object, A high-speed radial turbine steam differential pressure power generation system is proposed to replace the temperature and pressure reduction devices. Ebsilon is used to simulate and analyze the effect of temperature and pressure reduction scheme, steam differential pressure generation scheme and the influence of differential pressure generation on combined cycle unit performance. The steam differential pressure power generation system generate 382.81kW, the combined cycle unit load increased by 0.82%, resulting in an additional generation of 388.03kW. Considering the power generation benefits of back pressure unit of the combined cycle, the cost will be recovered in 3.06 years; considering the benefits of differential pressure power generation only, the payback period is 3.75 years. The payback period can be reduced to 2.4 years for the user side steam pressure differential generation system, The work of this paper provides a theoretical reference for the application and promotion of steam pressure difference power generation technology in integrated energy system.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127667895","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":"Short-term economic environmental dispatch of hydrothermal power system based on predictive search NSGA-II (iSPEC 2020)","authors":"Bao Xianzhe, Fu Bo, Lin Xingyi","doi":"10.1109/iSPEC50848.2020.9351084","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351084","url":null,"abstract":"NSGA-II uses genetic search and non-dominated sorting strategies to find the Pareto front. The search direction is not active, which affects the efficiency of searching for the optimal Pareto front. This paper first adopts uniformly distributed sample initialization for the selection of the initial population to ensure the uniformity of the initial solution; secondly, in the process of constructing the offspring population, adopts the elite guidance strategy to accelerate the convergence of the algorithm; finally, according to the distribution characteristics of each generation of population samples, The solution set with Pareto grades 1 and 2 predicts the non-dominated direction of the Pareto front, and actively searches for a step toward the non-dominated direction from each sample of the Pareto front, finds better possible non-dominated solutions and participates in the next generation subgroup reconstruction. The improved NSGA-II algorithm of direction prediction search is applied to the short-term economic and environmental dispatching of hydrothermal power system. The simulation results verify the feasibility and effectiveness of the algorithm and the constraint processing method, and provide an efficient new method for solving the multi-objective scheduling problem of hydrothermal power systems.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127683727","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":"Co-optimization Model of Energy and Auxiliary Service Market Considering Opportunity Cost","authors":"Jingxiao Jiang, Xianliang Teng, Yantao Zhang, Mengfu Tu, Linlin Guan","doi":"10.1109/ispec50848.2020.9351035","DOIUrl":"https://doi.org/10.1109/ispec50848.2020.9351035","url":null,"abstract":"The co-optimization of energy market and auxiliary service market can achieve the best economic efficiency in consideration of security constraints. Opportunity cost should be considered when a resource that provide energy market only is backed down to provide both energy and auxiliary service market. This paper first gives the definition and calculation method of opportunity cost. On this basis, considering market demand and unit output constraints, a co-optimization model considering opportunity cost is constructed. Then, this co-optimization model is transformed into an equivalent mixed integer linear programming model. Finally, numerical simulations are carried out to validate the effectiveness of the proposed model base on the IEEE 39 system. The results demonstrate that the proposed model reflects the real price in the regulation market and increases market efficiency.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121824626","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}
Quanming Zhang, Xi Wang, Wei Wang, Ruiguang Ma, Jiayu Wu
{"title":"Day-ahead Economic Dispatch of Microgrid Based on Multi-agent System Considering Wind Power Generation Uncertainty","authors":"Quanming Zhang, Xi Wang, Wei Wang, Ruiguang Ma, Jiayu Wu","doi":"10.1109/iSPEC50848.2020.9351070","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351070","url":null,"abstract":"The flexible control strategies and massive control data that required to cope with the uncertain WPG make the traditional centralized control mode difficult to effectively manage the microgrid operation. Therefore, MAS with the centralize-decentralize characteristic is introduced in microgrid operation. The structure of microgrid MAS, specific functions of agents are illustrated in this paper. A DED model based on MAS considering WPG uncertainty is presented to verify the validity of MAS on microgrid operation. The model is a two-stage robust model, which can be decomposed into a MP and SP. By using duality theory, Big-M method and C&CG algorithm, the optimal DED strategy can be obtained. Case study of a microgrid with the combined heat and power system is applied to discuss the interaction and coordination of the agents. The effectiveness of the DED model based on MAS considering WPG uncertainty and the applicability of MAS on microgrid operation are also verified.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126890914","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}
Dequan Chen, Po Huang, Xianghua Guo, Weiyuan Huang, Feng-Hang Li
{"title":"Design of Wireless Intelligent Monitoring System for Inner Suspension Inner Backstay Derrick for Tower Erection in Sections","authors":"Dequan Chen, Po Huang, Xianghua Guo, Weiyuan Huang, Feng-Hang Li","doi":"10.1109/iSPEC50848.2020.9351306","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351306","url":null,"abstract":"The derrick system is a decisive factor affecting the safety of Inner Suspension Inner Backstay Derrick for Tower Erection in Sections. However, due to its complex stress and difficulty in real-time perception, the erection of the tower assembly is too difficult and even causes accidents. In this paper, a wireless intelligent monitoring system based on wireless sensor network and Internet of Things technology for Inner Suspension & Inner Backstay Derrick for Tower Erection in Sections is proposed. Through the analysis of the technological process of tower erection, the weak points of the derrick system are obtained, and the function principle and module composition of the system are clarified. According to the force, tilt, wind speed, height, distance and other data characteristics of the derrick and its Backstay system, corresponding sensors are selected for real-time data monitoring and acquisition. In addition, in view of the characteristics of wide distribution and multiple levels of monitoring points, LoRa tree-type networking mode is adopted to form a wireless transmission mode in which the above devices are the total nodes of the network. The system adopts array patrol and reply communication mode, each channel is used in an orderly way when passing through, the data delay is controlled within microsecond level, and the value of each danger point is controlled within the safe range through the limitation warning function, so as to ensure the safety and stability of the whole construction process.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126219351","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}
Zijun Yang, Yi Xia, Wei Hu, Jiangping Jing, Lijuan Chen
{"title":"Dynamic Island Partition Strategy for Active Distribution System with Controllable Load Participation","authors":"Zijun Yang, Yi Xia, Wei Hu, Jiangping Jing, Lijuan Chen","doi":"10.1109/iSPEC50848.2020.9351014","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351014","url":null,"abstract":"Island operation is an effective way to maintain the power supply to loads when a failure occurs in the distribution network containing distributed generations (DGs). In this paper, a multi-period dynamic island partition strategy is proposed in order to form more flexible islands for better load recovery. Firstly, based on the Dijkstra algorithm, an initial island partition scheme is acquired, which gives full play to the power supply potential of DGs. Then, with controllable loads participating in dispatch, a multi-objective optimization adjustment model is established to form final dynamic islands. Finally, the results of the case study verify the validity of the proposed method.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126334167","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":"Multi-time Scale Optimal Dispatching of Electro-thermal System Considering Electric/Thermal Energy Storage and Flexible Load","authors":"Xianxu Huo, Shiqian Ma, Xuejun Shang, Ying Zhang, X. Xiong, Zhenao Sun","doi":"10.1109/iSPEC50848.2020.9351053","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351053","url":null,"abstract":"Aiming at the combined heat and power optimal dispatching problem of electro-thermal system, this paper proposed a multi-time scale dispatching model electro-thermal system considering electric/thermal energy storage and flexible load. Firstly, an electro-thermal system with electric/thermal energy storage, flexible load, combined heat and power generation and heat pump is modeled, in which the flexible thermal load model is constructed based on the user's thermal comfort, the flexible electric load model is constructed based on the user's satisfaction with electricity consumption. Then a multi-time scale optimal dispatching model for electro-thermal system is proposed. Day-ahead optimal dispatching model minimizes the operation cost through multi-period collaborative optimization. Real-time feedback correction is based on the actual measured value of distributed renewable energy resources output and load demand to correct the day-ahead dispatching plan instructions and improve the reliability of dispatching. Finally, a simulation example verifies the effectiveness of the method proposed in this paper.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132289587","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}