2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)最新文献

{"title":"A Novel Current Sensing Method for Multicore Cables Using Tunnel-Magnetoresistance Sensor Array","authors":"Shujun Huang, Jieyi Luo, Guanke Liu, R. Zhong","doi":"10.1109/ACPEE56931.2023.10135815","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135815","url":null,"abstract":"This article proposed a novel method for current sensing of multicore cables utilizing a tunnel-magnetoresistance (TMR) sensor array. In fact, multicore cables belong to multi-conductor systems. A trans-impedance is built to describe the mathematical relationship between the current phasors of the multi-conductor system and the output voltage phasors of all the magnetic sensors, based on which the current phasors can be recovered by simply performing matrix multiplication. The determination of the trans-impedance is dependent on the identification of the geometry parameters of the conductors (i.e., positions and tilt angles). Based on the output voltage phasors of the magnetic sensors at fundamental frequency, these conductor parameters can be identified by solving over-determined equations which are formulated in a form of one nonlinear least square (NLLS) problem. The value of the gain factor of the designed TMR sensor is almost a constant and the value of the corresponding phase shift is approximately zero. A real trans-impedance matrix can be obtained converted from the complex one, based on which real time current waveforms reconstruction can be achieved. Simulation study and laboratory experiments are conducted to verify the validation of the proposed current sensing method. From the simulation study, it is found that a value of lower than 5% for the maximum relative current amplitude error and the corresponding value of less than 4° for the maximum phase error can be achieved though the tilt angles of the conductors are arbitrarily varied. A probe-like current sensor is fabricated and experimentally characterized. Laboratory experiments including current phasor measurement at fundamental frequency and real-time current waveforms reconstructing are conducted. For both balanced and unbalanced three-phase cases, the testing results for current phasor measurement at fundamental frequency show that a value of lower than 8.24% for the maximum relative current amplitude error and a value of smaller than 4.46° for the corresponding maximum phase error can be achieved. Meanwhile, the current waveforms for three-phase currents having plenty of harmonics are successfully recovered in real time through experiments.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"41 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":"127608925","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 Planning Method of Soft Open Point in Distribution Network Based on Locational Marginal Price","authors":"Cheng Qiu, Wanjian Zhao, Mingze Zhang, Xincong Li, Fei Fei, Haohua Peng, G. Shi, Jianqiao Zhou","doi":"10.1109/ACPEE56931.2023.10135939","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135939","url":null,"abstract":"With the implementation of the \"double carbon\" target and the acceleration of energy transformation, the access to diversified source networks, load, and storage devices has brought huge challenges to the operation of traditional distribution networks. Various new power electronic devices, represented by soft open points(SOPs), enable the flexible interconnection of distribution networks, and their application will greatly improve the economy, flexibility, and controllability of distribution system operation. In the presence of higher investment and operation costs of SOP, the planning of SOP will become an essential problem to be solved. A planning method of SOP based on locational marginal price was proposed for the distribution network. Firstly, considering the uncertain characteristics of distributed generation, the theory of K-means clustering and CFSFDP is used for optimal scenario generation and typical scenario construction based on historical data. Then, a two-stage framework for the planning of SOP was presented, where the objective was to minimize the equivalent annual cost in the upper stage. In the lower stage, using the primal-dual interior point method to calculate the locational marginal price (LMP) of the system, the objective was to minimize the operation cost of each scenario. This problem was solved by the simulated annealing (SA) algorithm. Finally, the optimization model was analyzed and verified on the IEEE 14-node test feeder.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"54 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":"127683463","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":"Appliance Scheduling Optimization in a Smart Home Energy Management System with Heuristic Algorithms","authors":"Zakariayou Ibrahim Nassirou, Merzouk Ismahane, Ouedrago William","doi":"10.1109/ACPEE56931.2023.10135637","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135637","url":null,"abstract":"Through the use of a smart grid, consumers can schedule and manage how much energy their appliances use, reduce energy costs and reduce the peak-to-average ratio (PAR). In this research, we provide a smart grid-based energy management system (EMS) architecture. In addition, we provide a model that utilizes evolutionary algorithms to schedule the home users’ appliances such as particle swarm optimization (PSO), genetic algorithm (GA) and cuckoo search (CS). Real-time Electricity Pricing (RTEP) environment is used to simulate the model. In our study, real-time pricing (RTP) and the inclining block rate (IBR) model are combined. The simulation outcomes demonstrate that the suggested methodology enables effective planning of appliances which leads to reduced electricity expenditures and peak demand, respectively.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"15 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":"128109276","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":"Distributionally Robust Co-optimization of the Soft Open Points Allocation","authors":"Wang Xiaotang, Wu Xinhua, Ma Xiaojun, Qiu Yi, Zhang Hanbing","doi":"10.1109/ACPEE56931.2023.10135745","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135745","url":null,"abstract":"Considering the output uncertainty of distributed generation, a scenario probability-driven soft open point (SOP) Ramm-Raber programming model is established to evaluate the access location and capacity of soft open point s in distribution network. Firstly, using the historical output data of DGs and considering the operating characteristics of DGs, a mixed probability distribution uncertainty model based on L1 criterion and L∞ criterion is established. Second, a soft opening point planning model is established, taking into account SOP construction, operation and maintenance costs and distribution network operation profits, so as to minimize the total annual cost of the distribution network. Thirdly, we convert the quadratic cone programming model into a mixed-integer linear programming model by employing an equivalent replacement technique, polyhedral linearization techniques, and Big-M methods, and solve the model using parallel computable columns and constraint generation algorithms (C&CG). Finally, the effectiveness of the proposed model is verified using the IEEE 33-node system as a case study, which ensures the economic feasibility of the distribution network construction scheme.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"13 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":"130064918","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":"Estimating the Cooling-induced Electricity Demand at Industry and City-level","authors":"Nvgui Lin, Huawei Hong, Wuxiao Chen, Yuqing Cai, Yutian Wang, Yuan He, Yingru Zhao, Rui Jing","doi":"10.1109/ACPEE56931.2023.10135945","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135945","url":null,"abstract":"The sharp increase in peak electricity load due to the cooling needs in summer has become an important issue for demand-side management and could possibly lead to serious power shortage. The characteristics of cooling load for different industries could be significantly different, however it is usually difficult to directly measure the cooling-induced electricity demand. Hence, this paper proposes a cooling-induced electricity demand decomposition method and applies it to a case study in Xiamen, where the summer’s cooling demand is huge. The load-temperature correlations are firstly analyzed based on Xiamen’s electricity load data and meteorological data for in 2021 by the piecewise linear fitting method for the top 18 electricity consuming industries as well as the whole city in Xiamen. Then, the reference load is selected according to the correlations. So that the cooling-induced electricity demand can be obtained by using the summer electricity load data to minus the reference load.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"27 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":"130072695","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":"Bi-Level Clustering Model to Maximize the Profits of Demand Response Aggregators in Electricity Markets","authors":"Yanan Yu, Ji Zhou, Hui Fang, Jiarui Long, Jiaxun Li","doi":"10.1109/ACPEE56931.2023.10135591","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135591","url":null,"abstract":"With the high penetrations of renewable energies, demand response technology is widely implemented to ensure the balance between supply and demand and improve the utilization efficiency of energy resources. Demand response aggregators play an important role in implementing the technology for it integrates the scattered demand response resources to participate in the electricity markets and regulation markets. However, the economic benefits of demand response aggregators are rarely considered in the existing studies. To address this issue, this paper presents a bi-level clustering model to cluster demand response resources with the goal of maximizing the aggregators’ profits. The bi-level clustering model combines 1) the inner market-clearing model to determine the electricity prices and total aggregators’ profits under certain clustering results and 2) the outer k-means clustering model to get the optimal clustering results. The effectiveness of the proposed bi-level clustering model is verified in an IEEE 30-bus test system.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"36 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":"133830030","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":"Quantitative Evaluation Method for Operating Risk of High Proportion Renewable Energy Power System","authors":"Wei Hu, Yibo Su, Yun-tao Sun, Xin Zhang, Kexi Qian, Xianfeng Zhang","doi":"10.1109/ACPEE56931.2023.10136004","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10136004","url":null,"abstract":"To optimize the dispatch and operation control of high proportion renewable energy power system, it is necessary to accurately quantify and evaluate the operational risk of system. For the high proportion renewable energy power system with uncertain wind and light sources, this paper presents a operational risk assessment method of wind and water systems based on probability assessment. By analyzing the distribution of uncertainty probability of system, the state probability is expressed as wind power output probability, solar output probability, transmission line probability and real-time state probability of system components. Use the analytic hierarchy process to assign weight to each type of risk indicators to solve the importance matching problem of different types of risk. On this basis, a operational risk assessment model is built by using Monte Carlo method which is used to select the real-time system states. Finally, an example is analyzed based on the actual power grid in a certain area, and calculation results show that the proposed quantitative calculation method for operational risk assessment of wind, solar and water multi-energy power systems can effectively evaluate the actual operation risk of system and meet the risk assessment requirements of high proportion renewable energy power system.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"88 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":"134361341","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":"Application of Improved YOLOv5 in Infrared Image Recognition of Electrical Equipment","authors":"Songlin Cong, Haitao Pu, Xinwei Wang, Yanfang Zhao","doi":"10.1109/ACPEE56931.2023.10135872","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135872","url":null,"abstract":"Infrared detection is one of the methods commonly used to detect thermal faults in power equipment. Fast and accurate recognition of equipment in infrared images is the key to avoiding thermal faults. At present, the use of a large number of infrared supervisory equipment has made the number of collected infrared images grow exponentially. In these infrared images, the identification of electric power equipment is still basically relying on manual work, which has the disadvantages of high work intensity and low efficiency. In this paper, we improve the YOLOv5(You Only Look Once) algorithm for accomplishing the identification and localization of equipment types in infrared images. Before detection, the input infrared images are preprocessed to reduce the influence of noise, which effectively improves the detection accuracy. In addition, an ASPPF module is introduced to address the information loss caused by maximum pooling. The proposed method includes the tuning of the model parameters, the optimization of the training strategy, and then the optimal weights are obtained; subsequently, a huge number of infrared images collected from the converter station are used to train and validate the model. Through experimental validation, it is found that our improved algorithm has a significant improvement in recognition accuracy compared with the commonly used detection algorithms.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"46 23","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131722300","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":"Research on Distributed Robust Optimization of Islanded Microgrids Based on Kullback–Leibler divergence","authors":"Z.-Y Liang, Hong Wang, Zhijie Wang","doi":"10.1109/ACPEE56931.2023.10135863","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135863","url":null,"abstract":"Islanded microgrids and clusters of microgrids operating in islanded mode have emerged as a new trend in power grid construction as distributed power penetration grows and energy storage technology advances. This paper considers islanded microgrids as the research object. First, for the volatility of renewable energy power output, a problem in which randomness has a significant impact, this paper proposes a method to measure probability distribution using Kullback-Leibler divergence and establish a distributionally robust optimization based on the Kullback-Leibler divergence model. To address the uncertainty of the renewable energy power output prediction error, a multi-objective optimization model with economic and environmental benefits is established and solved using a column and constraint generation algorithm to avoid time-consuming manual derivation and improve model application efficiency.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"69 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":"131734107","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":"Comparison of Dynamic Mathematical Model for Additive and Differential Modulation Brushless Doubly-Fed Machines","authors":"Kexun Yu, Jiahao Liang, Weidong Pan, Xianfei Xie","doi":"10.1109/ACPEE56931.2023.10135699","DOIUrl":"https://doi.org/10.1109/ACPEE56931.2023.10135699","url":null,"abstract":"Brushless doubly-fed machine (BDFM) is widely concerned and studied due to its sturdy construction and high reliability. The lack of comparative studies of BDFM with additive and differential modulation limits the design and selection of BDFM for different applications. Therefore, the operation characteristics and the dynamic mathematical model of BDFM with additive and differential modulation are compared and analyzed in this paper. In addition, the operation characteristics and the dynamic mathematical model is verified through simulation. This provides an important reference for the subsequent industry promotion of BDFM.","PeriodicalId":403002,"journal":{"name":"2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"6 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":"131804094","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}