Pub Date : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082680
Juan Zhang, Jiani Xiang, Tao Xing, Bin Wang, Yuquan Chen
In the traditional electricity trading model, centralized transaction data and centralized regulatory agencies will bring about problems such as low data security and a crisis of trust in regulatory agencies. As an emerging distributed shared database technology in the Internet era, blockchain is related to the characteristics and it have a natural fit with the energy Internet, which brings a development opportunity to the traditional power transaction. This paper selects the microgrid operator (MO), energy aggregator (EA) and large power user (LC) as the distribution side the main body of electricity trading, built a power distribution side power market trading platform under blockchain technology, with the goal of maximizing benefits and minimizing costs, and established an active distribution network power trading optimization model based on cooperative evolutionary games,and use NSGA2 genetic algorithm to solve. And on the basis of the obtained optimization results, the Shapley value method is used to distribute the benefits of the power purchase cost of large consumer. The solution result of the optimization model is the basis for the generation of the smart contract. The calculation example results verify the feasibility of the smart contract model and the functional characteristics of the blockchain as a distributed ledger.
{"title":"Research on Blockchain Electric Energy Transaction Based on NSGA2 Genetic Algorithm","authors":"Juan Zhang, Jiani Xiang, Tao Xing, Bin Wang, Yuquan Chen","doi":"10.1109/SPIES55999.2022.10082680","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082680","url":null,"abstract":"In the traditional electricity trading model, centralized transaction data and centralized regulatory agencies will bring about problems such as low data security and a crisis of trust in regulatory agencies. As an emerging distributed shared database technology in the Internet era, blockchain is related to the characteristics and it have a natural fit with the energy Internet, which brings a development opportunity to the traditional power transaction. This paper selects the microgrid operator (MO), energy aggregator (EA) and large power user (LC) as the distribution side the main body of electricity trading, built a power distribution side power market trading platform under blockchain technology, with the goal of maximizing benefits and minimizing costs, and established an active distribution network power trading optimization model based on cooperative evolutionary games,and use NSGA2 genetic algorithm to solve. And on the basis of the obtained optimization results, the Shapley value method is used to distribute the benefits of the power purchase cost of large consumer. The solution result of the optimization model is the basis for the generation of the smart contract. The calculation example results verify the feasibility of the smart contract model and the functional characteristics of the blockchain as a distributed ledger.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124370412","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}
Pub Date : 2022-12-09DOI: 10.1109/SPIES55999.2022.10081996
Luyao Qu, Xinshang Zhu, Bin Li, Zhimin Guo, Hao Liu, Wandeng Mao
Real-time substation object detection is of great significance to ensuring the safe and stable operations of the power grid. Considering that the substations are complex in the background and the targets are distinct in sizes, shapes and rotation angles, we propose a progressive feature fusion and refinement network (PF2RNet) for substation rotating object detection. In the network, ResNeSt50 is used as the backbone to improve the feature extraction ability, and the deconvolution feature fusion module is designed to generate richer semantic information. To perform better in substation scenes, the rotating anchors are used to reduce the Intersection over Union between anchor boxes. Besides, the feature refinement module is introduced to realize the regression process from coarse to fine, strengthen the feature information of the object location, and then alleviate the feature misalignment. Finally, experiments demonstrate that the mAP of PF2RNet on the substation multi-object dataset reaches 89.3%, which is improved by 5.2% compared to RetinaNet.
{"title":"Progressive Feature Fusion and Refinement Network for Substation Rotating Object Detection","authors":"Luyao Qu, Xinshang Zhu, Bin Li, Zhimin Guo, Hao Liu, Wandeng Mao","doi":"10.1109/SPIES55999.2022.10081996","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10081996","url":null,"abstract":"Real-time substation object detection is of great significance to ensuring the safe and stable operations of the power grid. Considering that the substations are complex in the background and the targets are distinct in sizes, shapes and rotation angles, we propose a progressive feature fusion and refinement network (PF2RNet) for substation rotating object detection. In the network, ResNeSt50 is used as the backbone to improve the feature extraction ability, and the deconvolution feature fusion module is designed to generate richer semantic information. To perform better in substation scenes, the rotating anchors are used to reduce the Intersection over Union between anchor boxes. Besides, the feature refinement module is introduced to realize the regression process from coarse to fine, strengthen the feature information of the object location, and then alleviate the feature misalignment. Finally, experiments demonstrate that the mAP of PF2RNet on the substation multi-object dataset reaches 89.3%, which is improved by 5.2% compared to RetinaNet.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"358 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123551431","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}
Pub Date : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082315
Yunfeng Xu, Weimin Wu, Jianming Chen, Gang Lu
With the development of energy storage systems towards high power, high voltage and high switching frequency, the switches need to withstand higher voltage stress and possible high power loss. In this paper, a non-isolated three-level bidirectional DC-DC converter using the metal-oxide-semiconductor field-effect transistor (MOSFET) as the switches is proposed, where an appropriate control strategy is adopted to achieve soft-switching control. As a result of the soft switching technology and small on-resistance MOSFETs, this scheme can improve efficiency and power density significantly, compared with hard-switching topologies using the insulated gate bipolar transistor (IGBT). Simulation results have verified the correctness of the proposed three-level bidirectional converter and the rationality of the control method.
{"title":"A Non-isolated Three-Level Bidirectional DC-DC Converter with Soft Switching Technique","authors":"Yunfeng Xu, Weimin Wu, Jianming Chen, Gang Lu","doi":"10.1109/SPIES55999.2022.10082315","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082315","url":null,"abstract":"With the development of energy storage systems towards high power, high voltage and high switching frequency, the switches need to withstand higher voltage stress and possible high power loss. In this paper, a non-isolated three-level bidirectional DC-DC converter using the metal-oxide-semiconductor field-effect transistor (MOSFET) as the switches is proposed, where an appropriate control strategy is adopted to achieve soft-switching control. As a result of the soft switching technology and small on-resistance MOSFETs, this scheme can improve efficiency and power density significantly, compared with hard-switching topologies using the insulated gate bipolar transistor (IGBT). Simulation results have verified the correctness of the proposed three-level bidirectional converter and the rationality of the control method.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125350036","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}
Pub Date : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082272
Jiaxun Teng, Lei Qi, Wei Zhao, Min Zhang, Yanping Zhu, Xiaofeng Sun
Cascaded H-bridge (CHB) has been the typical scheme in medium and low voltage AC/DC conversion applications, and large-size capacitance of submodules (SMs) is the inherent problem of CHB-based systems, which is caused by ripple-power on SMs during AC/DC conversion. This paper proposes a novel lightweight cascaded multilevel solid state transformer (CM-SST) based on series resonant push-pull (SRPP) decoupling channel for ripple-power. CM-SST can utilize the low impedance characteristic of SRPP and the three-phase symmetry of SMs ripple-power to realize the natural decoupling, which significantly reduces the size of SM capacitance. The CM-SST configuration, SRPP operation principle, CHB ripple characteristic, ripple-power decoupling process, system design and evaluation are discussed in detailed in this paper. Finally, the correctness and effectiveness of the proposed CM-SST are verified by simulation and experiment.
{"title":"A Lightweight Cascaded Mutilevel Solid State Transformer Scheme Based on Ripple-Power Decoupling Channel","authors":"Jiaxun Teng, Lei Qi, Wei Zhao, Min Zhang, Yanping Zhu, Xiaofeng Sun","doi":"10.1109/SPIES55999.2022.10082272","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082272","url":null,"abstract":"Cascaded H-bridge (CHB) has been the typical scheme in medium and low voltage AC/DC conversion applications, and large-size capacitance of submodules (SMs) is the inherent problem of CHB-based systems, which is caused by ripple-power on SMs during AC/DC conversion. This paper proposes a novel lightweight cascaded multilevel solid state transformer (CM-SST) based on series resonant push-pull (SRPP) decoupling channel for ripple-power. CM-SST can utilize the low impedance characteristic of SRPP and the three-phase symmetry of SMs ripple-power to realize the natural decoupling, which significantly reduces the size of SM capacitance. The CM-SST configuration, SRPP operation principle, CHB ripple characteristic, ripple-power decoupling process, system design and evaluation are discussed in detailed in this paper. Finally, the correctness and effectiveness of the proposed CM-SST are verified by simulation and experiment.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125390884","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}
Pub Date : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082713
Shaojiang Wu, Yi Wang, Kai Lin, Wanying Liao, Weiqin Huang
The multi-energy system composed of new energy has the advantages of green and environmental protection. The hybrid energy storage system composed of pumped storage power stations and batteries is used in the wind-solar based multi energy system to realize the complementary regulation of the power generation and load side. In the working strategy of the system, in order to reduce the electric energy lost in the process of energy storage and discharge, and minimize the working times of pumps and turbines, a capacity optimal allocation strategy of energy storage system based on Fruit Fly Optimization Algorithm is proposed, taking the total investment cost of the system as the objective function. An example shows the effectiveness and applicability of the strategy. While the hybrid energy storage system meets the system performance index, the loss of electric energy in the energy storage process is the least, and it has the best economy.
{"title":"Capacity Optimal Allocation Strategy of Energy Storage System Based on Fruit Fly Optimization Algorithm","authors":"Shaojiang Wu, Yi Wang, Kai Lin, Wanying Liao, Weiqin Huang","doi":"10.1109/SPIES55999.2022.10082713","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082713","url":null,"abstract":"The multi-energy system composed of new energy has the advantages of green and environmental protection. The hybrid energy storage system composed of pumped storage power stations and batteries is used in the wind-solar based multi energy system to realize the complementary regulation of the power generation and load side. In the working strategy of the system, in order to reduce the electric energy lost in the process of energy storage and discharge, and minimize the working times of pumps and turbines, a capacity optimal allocation strategy of energy storage system based on Fruit Fly Optimization Algorithm is proposed, taking the total investment cost of the system as the objective function. An example shows the effectiveness and applicability of the strategy. While the hybrid energy storage system meets the system performance index, the loss of electric energy in the energy storage process is the least, and it has the best economy.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126704170","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}
The hybrid modular multilevel converter based on full-bridge and half-bridge submodule is a promising candidate for medium- and high-voltage applications. But different from conventional two-level converter, the power loss distribution inside submodules is uneven which will threaten the reliability. In this article, a reliability assessment model considering the device-level uneven power losses is proposed. Then influence of power loss distribution and redundancy schemes are investigated through a case study. The results illustrate that more unbalanced power loss distribution will result in reduced reliability. And improved modulation strategy can reduce the loss imbalance inside submodules. It is also found that passive redundancy scheme works better than active redundancy scheme in improving reliability as the failure rates of bypassed submodules are much lower than operating submodules. And passive scheme with 20% redundancy rate of full-bridge submodules is a good choice for redundancy design which both meets 20-year B10 lifetime requirement and saves cost.
{"title":"Reliability Analyses for Hybrid Modular Multilevel Converters Considering the Device-Level Uneven Power Losses","authors":"Binbing Xia, Yating Gou, Shuhuai Shi, Daoyuan Yang, Feng Wang, F. Zhuo","doi":"10.1109/SPIES55999.2022.10081997","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10081997","url":null,"abstract":"The hybrid modular multilevel converter based on full-bridge and half-bridge submodule is a promising candidate for medium- and high-voltage applications. But different from conventional two-level converter, the power loss distribution inside submodules is uneven which will threaten the reliability. In this article, a reliability assessment model considering the device-level uneven power losses is proposed. Then influence of power loss distribution and redundancy schemes are investigated through a case study. The results illustrate that more unbalanced power loss distribution will result in reduced reliability. And improved modulation strategy can reduce the loss imbalance inside submodules. It is also found that passive redundancy scheme works better than active redundancy scheme in improving reliability as the failure rates of bypassed submodules are much lower than operating submodules. And passive scheme with 20% redundancy rate of full-bridge submodules is a good choice for redundancy design which both meets 20-year B10 lifetime requirement and saves cost.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127023679","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}
Pub Date : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082002
Mengchao He, Yunfei Xu, Zhengang Lu, Guoliang Zhao, Minxiao Han
Modular multilevel cascaded converter (MMCC) is widely used in medium and high voltage energy conversion in power systems. Circulating current and branch power fluctuation are common problems in MMCC, and due to different topologies, submodule types and input/output properties, their characteristics vary greatly. In this paper, a general characteristic analysis method of circulating current based on MMCCs’ network topologies is proposed. On this basis, a general suppression strategy for circulating current is proposed, which is easy to implement and can be combined with a branch energy balance strategy. The correctness of the proposed theoretical analysis and control algorithm, which provides an important theoretical basis for the development and application of MMCC is verified by the PSCAD/EMTDC simulation platform.
{"title":"Generalized Study on Analysis and Suppression Strategy of Circulating Current for Modular Multilevel Cascaded Converters","authors":"Mengchao He, Yunfei Xu, Zhengang Lu, Guoliang Zhao, Minxiao Han","doi":"10.1109/SPIES55999.2022.10082002","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082002","url":null,"abstract":"Modular multilevel cascaded converter (MMCC) is widely used in medium and high voltage energy conversion in power systems. Circulating current and branch power fluctuation are common problems in MMCC, and due to different topologies, submodule types and input/output properties, their characteristics vary greatly. In this paper, a general characteristic analysis method of circulating current based on MMCCs’ network topologies is proposed. On this basis, a general suppression strategy for circulating current is proposed, which is easy to implement and can be combined with a branch energy balance strategy. The correctness of the proposed theoretical analysis and control algorithm, which provides an important theoretical basis for the development and application of MMCC is verified by the PSCAD/EMTDC simulation platform.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115048469","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}
Pub Date : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082145
Cunxin Ye, Sihui Zhang, Pengcheng Xu, Wensheng Song
Open-circuit fault is one of the main faults in traction inverters. If an open-circuit fault occurs in power devices and is not resolved in time, it will lead to secondary faults and system crashes. In order to solve these problems, this paper studies two fault diagnosis methods for traction inverters, including mixed logic dynamic (MLD) model and convolutional neural network (CNN) methods. The MLD model-based diagnosis method analyzes current model, which can realize fault diagnosis and location quickly and accurately. The CNN-based diagnosis method firstly preprocesses the signal of three phase current, then carries out identification and fault processing, which can realize the diagnosis of open-circuit fault online. Simulation results show that both methods can accurately achieve fault diagnosis and location online. The MLD model-based diagnosis method is faster and more accurate. The CNN based diagnosis method presents good generalization performance.
{"title":"Fault Diagnosis Algorithms for Power Devices of Traction Inverters in High-Speed Train","authors":"Cunxin Ye, Sihui Zhang, Pengcheng Xu, Wensheng Song","doi":"10.1109/SPIES55999.2022.10082145","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082145","url":null,"abstract":"Open-circuit fault is one of the main faults in traction inverters. If an open-circuit fault occurs in power devices and is not resolved in time, it will lead to secondary faults and system crashes. In order to solve these problems, this paper studies two fault diagnosis methods for traction inverters, including mixed logic dynamic (MLD) model and convolutional neural network (CNN) methods. The MLD model-based diagnosis method analyzes current model, which can realize fault diagnosis and location quickly and accurately. The CNN-based diagnosis method firstly preprocesses the signal of three phase current, then carries out identification and fault processing, which can realize the diagnosis of open-circuit fault online. Simulation results show that both methods can accurately achieve fault diagnosis and location online. The MLD model-based diagnosis method is faster and more accurate. The CNN based diagnosis method presents good generalization performance.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115211173","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}
Pub Date : 2022-12-09DOI: 10.1109/SPIES55999.2022.10081961
Dai Dongyun, Wang Zheng, You Yimin, Sang Zhongqing, Yuan Huisheng, Jiang Weiyun
There are many links involved in the equipment and operation process of the hydrogen production and energy storage power station, and there are potential hidden dangers such as hydrogen leakage and electrical discharge. Therefore, it is necessary to know the operating status and operating environment of the equipment in real time through the intelligent online operation and maintenance system. Based on the digital twin and the industrial Internet, this paper associates the 3D model with the data information of the physical entity power station. In this way, the functions of visual display, status evaluation and information viewing, traceability, optimization and statistical analysis of hydrogen production and energy storage power stations are realized. Ultimately, the safety of personnel, equipment and the environment is guaranteed, and unattended operation is achieved to improve operation and maintenance efficiency.
{"title":"Research on Intelligent Online Operation and Maintenance System of 3D Visualization Hydrogen Production and Energy Storage Power Station","authors":"Dai Dongyun, Wang Zheng, You Yimin, Sang Zhongqing, Yuan Huisheng, Jiang Weiyun","doi":"10.1109/SPIES55999.2022.10081961","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10081961","url":null,"abstract":"There are many links involved in the equipment and operation process of the hydrogen production and energy storage power station, and there are potential hidden dangers such as hydrogen leakage and electrical discharge. Therefore, it is necessary to know the operating status and operating environment of the equipment in real time through the intelligent online operation and maintenance system. Based on the digital twin and the industrial Internet, this paper associates the 3D model with the data information of the physical entity power station. In this way, the functions of visual display, status evaluation and information viewing, traceability, optimization and statistical analysis of hydrogen production and energy storage power stations are realized. Ultimately, the safety of personnel, equipment and the environment is guaranteed, and unattended operation is achieved to improve operation and maintenance efficiency.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115491262","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}
Pub Date : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082708
Wenhui Pei, Xuexia Zhang, Chuanyu Liu
A new Transmission Network Expansion Planning (TEP) problem based on alternating current (AC) network aiming at optimizing system operation is proposed in this paper. TEP based on AC model (AC-TEP) can provide more accurate planning results compared to that based on direct current model (DC-TEP). In this paper, a multi-objective AC-TEP issue is analyzed dealing with investment problem and uncertainty problem. A multi-objective evolutionary algorithm (MOEA) based on an enhanced inverted generational distance indicator (AR-MOEA), is used to handle the multi-objective TEP. In this paper, IEEE-24 bus test system and China 52-bus system are utilized to perform the numerical analysis. To prove the superiority of AR-MOEA algorithm, the obtained results are compared with that of MOEA based on decomposition (MOEA/D). The results confirm the superior performance of AR-MOEA for solving multi-objective TEP problem, and validate the applicability and capability of AC-TEP model to cope with middle and larger power systems.
{"title":"A Multi-objective Transmission Expansion Model Considering Renewable Energy Resources for Alternating Current Power Systems","authors":"Wenhui Pei, Xuexia Zhang, Chuanyu Liu","doi":"10.1109/SPIES55999.2022.10082708","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082708","url":null,"abstract":"A new Transmission Network Expansion Planning (TEP) problem based on alternating current (AC) network aiming at optimizing system operation is proposed in this paper. TEP based on AC model (AC-TEP) can provide more accurate planning results compared to that based on direct current model (DC-TEP). In this paper, a multi-objective AC-TEP issue is analyzed dealing with investment problem and uncertainty problem. A multi-objective evolutionary algorithm (MOEA) based on an enhanced inverted generational distance indicator (AR-MOEA), is used to handle the multi-objective TEP. In this paper, IEEE-24 bus test system and China 52-bus system are utilized to perform the numerical analysis. To prove the superiority of AR-MOEA algorithm, the obtained results are compared with that of MOEA based on decomposition (MOEA/D). The results confirm the superior performance of AR-MOEA for solving multi-objective TEP problem, and validate the applicability and capability of AC-TEP model to cope with middle and larger power systems.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116072121","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}
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