Pub Date : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783260
Ling Xiang, Wu Wancheng, Zhang Xu, Liu Yilong, Dai Yongzheng
In this article, we introduce a device for analyzing and identifying electrical appliances, which takes the CS5463 module as the core and STM32F407 microcontroller as the control center. This device can collect the multi-dimensional electrical parameters of the measured load, such as voltage, current, harmonic content, and power. Based on the collected data, we can analyze the electrical characteristics of the load in different states, with algorithms such as CUSUM based on compound windows and wavelet analysis. Finally, using the comprehensive use of the power factor method, table look-up method, and direct discrimination method, we can realize the identification of the types of electrical appliances in the state of multiple electrical appliances coupling.
{"title":"Multidimensional Data-driven Load Identification Device Based on CS5463 Module","authors":"Ling Xiang, Wu Wancheng, Zhang Xu, Liu Yilong, Dai Yongzheng","doi":"10.1109/CEEPE55110.2022.9783260","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783260","url":null,"abstract":"In this article, we introduce a device for analyzing and identifying electrical appliances, which takes the CS5463 module as the core and STM32F407 microcontroller as the control center. This device can collect the multi-dimensional electrical parameters of the measured load, such as voltage, current, harmonic content, and power. Based on the collected data, we can analyze the electrical characteristics of the load in different states, with algorithms such as CUSUM based on compound windows and wavelet analysis. Finally, using the comprehensive use of the power factor method, table look-up method, and direct discrimination method, we can realize the identification of the types of electrical appliances in the state of multiple electrical appliances coupling.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126709928","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}
With the incorporation of higher shares of intermittent renewable energies, extreme electricity prices, e.g., spike prices, occur frequently in the electricity spot market. More flexible resources are required to prevent price risks and ensure the stable operation of the market. Compared with the supply-side resources, the flexible loads and energy storages hold untapped potential to actively respond to the market price signals. This paper investigates the modeling and integration methods for these resources in the electricity spot market. Firstly, to describe the response characteristics of flexible loads, three kinds of response models are established including shiftable load model, transferable load model, and curtailable load model. An interactive model of energy storage is constructed which considers the charging and discharging process in markets. Moreover, a method for energy storage and flexible load as the market entities to participate in the spot market is proposed. Finally, the case simulation is used to analyze the effects of flexible load and energy storage on the peak load shifting, which shows the effectiveness of the proposed model.
{"title":"Modeling and Integration of Flexible Loads and Energy Storages in Electricity Spot Market","authors":"Hongxin Chen, Shaofei Shen, Xunhu Yin, Kan Yang, X. Lou, Zhiquan Meng","doi":"10.1109/CEEPE55110.2022.9783249","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783249","url":null,"abstract":"With the incorporation of higher shares of intermittent renewable energies, extreme electricity prices, e.g., spike prices, occur frequently in the electricity spot market. More flexible resources are required to prevent price risks and ensure the stable operation of the market. Compared with the supply-side resources, the flexible loads and energy storages hold untapped potential to actively respond to the market price signals. This paper investigates the modeling and integration methods for these resources in the electricity spot market. Firstly, to describe the response characteristics of flexible loads, three kinds of response models are established including shiftable load model, transferable load model, and curtailable load model. An interactive model of energy storage is constructed which considers the charging and discharging process in markets. Moreover, a method for energy storage and flexible load as the market entities to participate in the spot market is proposed. Finally, the case simulation is used to analyze the effects of flexible load and energy storage on the peak load shifting, which shows the effectiveness of the proposed model.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127035835","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}
This paper analyzed the policies related to the grid access project in three stages: Collecting capital contribution of power-supply stage, partial extension stage and comprehensive extension stage. In 2020, the Opinions on Clearing and Regulating the Charges of Urban Water Supply, Power Supply, Gas Supply and Heat Supply to Promote the High-quality Development of the Industry (GBH [2020] No.129) proposed that power supply enterprises extend their investment to cover user building line. In light of industrial and commercial users and residential users, this paper took into account line type and voltage level, and analyzed the economy of grid access lines, so as to facilitate investment decision and economic analysis of grid access projects.
{"title":"Research on Economy of Grid Access Project","authors":"Yue Zhang, Xubin Wang, Jun Zhang, Guanglong Xie, Xinyang Han, Ruibao Shen","doi":"10.1109/ceepe55110.2022.9783322","DOIUrl":"https://doi.org/10.1109/ceepe55110.2022.9783322","url":null,"abstract":"This paper analyzed the policies related to the grid access project in three stages: Collecting capital contribution of power-supply stage, partial extension stage and comprehensive extension stage. In 2020, the Opinions on Clearing and Regulating the Charges of Urban Water Supply, Power Supply, Gas Supply and Heat Supply to Promote the High-quality Development of the Industry (GBH [2020] No.129) proposed that power supply enterprises extend their investment to cover user building line. In light of industrial and commercial users and residential users, this paper took into account line type and voltage level, and analyzed the economy of grid access lines, so as to facilitate investment decision and economic analysis of grid access projects.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"28 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120912308","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783410
Shuyi Gao, Mingcheng Chang, Yiran Song
Prosumers with the ability to both produce and consume energy emerge as a result of the increasing penetration of renewable energy resources. A proper trading mechanism that allocates the energy supply and demand under the interface of the uncertainties of renewable resources with reasonable prices is urgently needed. In this paper, a novel Creditability-Reputation-Based(CRB) Peer-to-Peer trading mechanism is designed to benefit prosumers who perform well in the historical trading. The proposed Creditability-Reputation(CR) system aims to quantify the performance of prosumers dynamically and is applied to the trading mechanism. In the simulation, a 24 periods trading of 10 prosumers is implemented. The case study shows the effectiveness and advantage of the proposed method.
{"title":"Creditability-Reputation-Based Trading Mechanism for Peer-to-Peer Energy Market","authors":"Shuyi Gao, Mingcheng Chang, Yiran Song","doi":"10.1109/CEEPE55110.2022.9783410","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783410","url":null,"abstract":"Prosumers with the ability to both produce and consume energy emerge as a result of the increasing penetration of renewable energy resources. A proper trading mechanism that allocates the energy supply and demand under the interface of the uncertainties of renewable resources with reasonable prices is urgently needed. In this paper, a novel Creditability-Reputation-Based(CRB) Peer-to-Peer trading mechanism is designed to benefit prosumers who perform well in the historical trading. The proposed Creditability-Reputation(CR) system aims to quantify the performance of prosumers dynamically and is applied to the trading mechanism. In the simulation, a 24 periods trading of 10 prosumers is implemented. The case study shows the effectiveness and advantage of the proposed method.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121674634","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783122
Yi Zhao, Yang Du, Hengjie Li, Lingyu Guo, Zhongguang Yang, Yongjun Feng
In order to make better use of the excellent Frequency Regulation (FR) performance of Electric Vehicles (EVs), this paper focuses on the FR power allocation method for EVs coordinated with thermal power units in Automatic Generation Control (AGC). The real-time dispatchable power of large-scale EVs in the form of the aggregator is calculated based on the single EV dispatchable power calculation model. The obtained real-time dispatchable power is used to coordinate with thermal power units participating in the AGC performance assessment through the time-period partitioning control strategy. By piecewise linearizing the battery life loss model, the life loss and the dispatchable power of EVs are integrated to allocate the FR power for EVs in the aggregator. Through the analysis of case, EVs can participate in the AGC performance assessment coordinated with thermal power units well based on the time-period partitioning control strategy. The method proposed in this paper has the better ability in the life loss and solution speed compared with the traditional power allocation strategy to prove its effectiveness.
{"title":"Frequency Regulation Power Allocation Method for Electric Vehicles Coordinated with Thermal Power Units in AGC","authors":"Yi Zhao, Yang Du, Hengjie Li, Lingyu Guo, Zhongguang Yang, Yongjun Feng","doi":"10.1109/CEEPE55110.2022.9783122","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783122","url":null,"abstract":"In order to make better use of the excellent Frequency Regulation (FR) performance of Electric Vehicles (EVs), this paper focuses on the FR power allocation method for EVs coordinated with thermal power units in Automatic Generation Control (AGC). The real-time dispatchable power of large-scale EVs in the form of the aggregator is calculated based on the single EV dispatchable power calculation model. The obtained real-time dispatchable power is used to coordinate with thermal power units participating in the AGC performance assessment through the time-period partitioning control strategy. By piecewise linearizing the battery life loss model, the life loss and the dispatchable power of EVs are integrated to allocate the FR power for EVs in the aggregator. Through the analysis of case, EVs can participate in the AGC performance assessment coordinated with thermal power units well based on the time-period partitioning control strategy. The method proposed in this paper has the better ability in the life loss and solution speed compared with the traditional power allocation strategy to prove its effectiveness.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124531796","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783384
Chunwei Wang, Dan Yang, Shangce Gao, Shujian Zhao, Ling Li, Xinya Wang
This paper is mainly based on big data to carry out electricity forecasting research. The trend of electricity changes in different regions, industries and periods is analyzed. Data is dug deep. By using algorithms such as time series, multiple linear regression and grey forecasting to forecast the electricity quantity, improve the short-term, mid-term and long-term electricity forecasting ability, and provide reliable data support for electricity forecasting. It has been verified by examples that this method can effectively improve the accuracy of electricity forecasting, achieve accurate forecasting of future electricity consumption, improve customer service capabilities, and improve the work efficiency of customer service departments.
{"title":"Research on Electricity Forecasting Method Based on Big Data","authors":"Chunwei Wang, Dan Yang, Shangce Gao, Shujian Zhao, Ling Li, Xinya Wang","doi":"10.1109/CEEPE55110.2022.9783384","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783384","url":null,"abstract":"This paper is mainly based on big data to carry out electricity forecasting research. The trend of electricity changes in different regions, industries and periods is analyzed. Data is dug deep. By using algorithms such as time series, multiple linear regression and grey forecasting to forecast the electricity quantity, improve the short-term, mid-term and long-term electricity forecasting ability, and provide reliable data support for electricity forecasting. It has been verified by examples that this method can effectively improve the accuracy of electricity forecasting, achieve accurate forecasting of future electricity consumption, improve customer service capabilities, and improve the work efficiency of customer service departments.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125702950","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783407
Jun Wang, Jian Xu, D. Ke, Jingjing Wang, Dan Liu, Nianzhang Liu
From the perspective of incentive price, a day-ahead market-clearing model for distribution network with two types of market entities, i.e., commercial building and virtual power plant, is established. The influence of net active power load and net reactive power load on system operation is considered comprehensively, and multiple sensitivity factors are introduced to linearize power flow and steady-state gas flow constraints. Further, the cleared distribution locational marginal price is divided into five categories, i.e., baseline active power price, baseline reactive power price, congestion management price, voltage support price, network loss price. Each market entity is encouraged to adjust its own operation mode to support system operation through the guidance of different price signals. Finally, the simulation is conducted on an IEEE 33-node distribution network, it is verified that the proposed pricing strategy based on distribution locational marginal price decomposition is effective and rational.
{"title":"Market Control Based for Congestion Management and Voltage Support in Distribution Network","authors":"Jun Wang, Jian Xu, D. Ke, Jingjing Wang, Dan Liu, Nianzhang Liu","doi":"10.1109/CEEPE55110.2022.9783407","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783407","url":null,"abstract":"From the perspective of incentive price, a day-ahead market-clearing model for distribution network with two types of market entities, i.e., commercial building and virtual power plant, is established. The influence of net active power load and net reactive power load on system operation is considered comprehensively, and multiple sensitivity factors are introduced to linearize power flow and steady-state gas flow constraints. Further, the cleared distribution locational marginal price is divided into five categories, i.e., baseline active power price, baseline reactive power price, congestion management price, voltage support price, network loss price. Each market entity is encouraged to adjust its own operation mode to support system operation through the guidance of different price signals. Finally, the simulation is conducted on an IEEE 33-node distribution network, it is verified that the proposed pricing strategy based on distribution locational marginal price decomposition is effective and rational.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132555605","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783279
Z. Xiaoguang, Wang Fei, Qi Rui, Cao Renwei, Wang Lu, Zheng Yun
A hierarchical energy system management framework based on the demand response is developed to address the impact of controllable loads on the power system. Stimulated electric vehicle clusters (EVs) and temperature-controlled load clusters (TCLs) can quickly respond to the scheduling strategies of load aggregators to reduce the impact on the grid caused by the large number of flexible loads connected to the grid. First, a hybrid model of convolutional neural network and long- and short-term memory network is used to predict each part of the load, and the load aggregator dispatches controllable flexible loads to maximize the fit of the predicted load profile. The load aggregator performs Peer to Peer(P2P) power trading with the power operator according to the current scheduling strategy and applies distributed optimization to solve the maximum benefit for both parties. For the remaining energy demand after local energy trading, a multi-objective optimization model for system operating cost, carbon emission, and wind energy spillover is considered, and the Pareto frontier of this model is solved using NSGA-II with centralized optimization and verified by arithmetic cases in IEEE30 node system. The simulation results show that under the proposed energy management strategy, a balance between the supply and demand of electric vehicles and temperature-controlled loads is achieved while bringing good economic and environmental benefits to the power system.
为了解决可控负荷对电力系统的影响，提出了基于需求响应的分层能源系统管理框架。受激励电动汽车集群(ev)和温控负载集群(tcl)可以快速响应负载聚合器的调度策略，以减少大量柔性负载接入电网对电网的影响。首先，采用卷积神经网络和长短期记忆网络的混合模型对各部分负荷进行预测，负荷聚合器调度可控制的柔性负荷，使负荷预测曲线拟合最大化;负载聚合器根据当前调度策略与电力运营商进行P2P (Peer to Peer)电力交易，并应用分布式优化解决双方利益最大化问题。针对局部能源交易后的剩余能源需求，考虑了系统运行成本、碳排放和风能外溢的多目标优化模型，采用集中优化的NSGA-II求解了该模型的Pareto边界，并在IEEE30节点系统中进行了算例验证。仿真结果表明，在提出的能量管理策略下，实现了电动汽车供需和温控负荷的平衡，为电力系统带来了良好的经济效益和环境效益。
{"title":"Optimal Scheduling of Hierarchical Energy Systems with Controllable Load Demand Response","authors":"Z. Xiaoguang, Wang Fei, Qi Rui, Cao Renwei, Wang Lu, Zheng Yun","doi":"10.1109/CEEPE55110.2022.9783279","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783279","url":null,"abstract":"A hierarchical energy system management framework based on the demand response is developed to address the impact of controllable loads on the power system. Stimulated electric vehicle clusters (EVs) and temperature-controlled load clusters (TCLs) can quickly respond to the scheduling strategies of load aggregators to reduce the impact on the grid caused by the large number of flexible loads connected to the grid. First, a hybrid model of convolutional neural network and long- and short-term memory network is used to predict each part of the load, and the load aggregator dispatches controllable flexible loads to maximize the fit of the predicted load profile. The load aggregator performs Peer to Peer(P2P) power trading with the power operator according to the current scheduling strategy and applies distributed optimization to solve the maximum benefit for both parties. For the remaining energy demand after local energy trading, a multi-objective optimization model for system operating cost, carbon emission, and wind energy spillover is considered, and the Pareto frontier of this model is solved using NSGA-II with centralized optimization and verified by arithmetic cases in IEEE30 node system. The simulation results show that under the proposed energy management strategy, a balance between the supply and demand of electric vehicles and temperature-controlled loads is achieved while bringing good economic and environmental benefits to the power system.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"48 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130027196","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783432
Ahmed Nasr, Chunyang Gu, Salman Ijaz, G. Buticchi, S. Bozhko, C. Gerada
This paper proposes an advanced sequential finite-element-based model predictive torque and flux control (SQ-FE-MPTFC) method to mitigate the torque ripple of the interior permanent magnet synchronous motor (IPMSM) while simplifying the control implementation by preselecting a reduced control set and eliminating the need for a weighting factor. This strategy optimally selects a combination of active-and zero-voltage vectors at every control cycle and obtains the switching instant based on an adjustable torque-error tolerance and the torque deviation produced by the AVV. First, considering the torque-error tolerance, it preselects two candidate AVVs among those admitted by the two-level voltage source inverter. Then, the switching instant of each candidate is decided using its predicted torque deviation to satisfy the minimum torque ripple. Among these candidates, the optimal one with its corresponding duty time is selected based on a weighting factor-less cost function that considers the flux-amplitude error. Finally, the FE-based IPMSM model is used to verify the effectiveness of the proposed method by simulations in Matlab/Simulink environment.
{"title":"Sequential Finite-Element-based Model Predictive Torque and Flux Control Method for IPMSM","authors":"Ahmed Nasr, Chunyang Gu, Salman Ijaz, G. Buticchi, S. Bozhko, C. Gerada","doi":"10.1109/CEEPE55110.2022.9783432","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783432","url":null,"abstract":"This paper proposes an advanced sequential finite-element-based model predictive torque and flux control (SQ-FE-MPTFC) method to mitigate the torque ripple of the interior permanent magnet synchronous motor (IPMSM) while simplifying the control implementation by preselecting a reduced control set and eliminating the need for a weighting factor. This strategy optimally selects a combination of active-and zero-voltage vectors at every control cycle and obtains the switching instant based on an adjustable torque-error tolerance and the torque deviation produced by the AVV. First, considering the torque-error tolerance, it preselects two candidate AVVs among those admitted by the two-level voltage source inverter. Then, the switching instant of each candidate is decided using its predicted torque deviation to satisfy the minimum torque ripple. Among these candidates, the optimal one with its corresponding duty time is selected based on a weighting factor-less cost function that considers the flux-amplitude error. Finally, the FE-based IPMSM model is used to verify the effectiveness of the proposed method by simulations in Matlab/Simulink environment.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134214307","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783330
Hongren Wei, Wensheng Su
Ocean current energy is an important part of ocean renewable energy. This paper analyzes the current research status of ocean current power generation technology and the current research status of hydraulic conversion technology, establishes a mathematical model of ocean current power hydraulic transmission and control power generation system, develops a hydraulic transmission and control power generation system modeling based on AMESim software, designs and builds hydraulic transmission and control power generation equipment experiments tower. When the turbine simulates ocean current running at variable speeds, the fluctuation range of the motor speed can still be stabilized at about 1500r/min, with an error of ±1.3%. Experiments have verified the advantages and feasibility of this technology. The research results of this paper will break through the high-efficiency absorption and conversion technology of underwater ocean kinetic energy, realize continuous and high-efficiency power generation, solve the problem of ocean sensor power self-sufficiency, and meet the power supply requirements of ocean underwater observation platforms and other equipment.
{"title":"Simulation Based on AMESim and Performance Experiment of Ocean Current Hydraulic Power Generation","authors":"Hongren Wei, Wensheng Su","doi":"10.1109/CEEPE55110.2022.9783330","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783330","url":null,"abstract":"Ocean current energy is an important part of ocean renewable energy. This paper analyzes the current research status of ocean current power generation technology and the current research status of hydraulic conversion technology, establishes a mathematical model of ocean current power hydraulic transmission and control power generation system, develops a hydraulic transmission and control power generation system modeling based on AMESim software, designs and builds hydraulic transmission and control power generation equipment experiments tower. When the turbine simulates ocean current running at variable speeds, the fluctuation range of the motor speed can still be stabilized at about 1500r/min, with an error of ±1.3%. Experiments have verified the advantages and feasibility of this technology. The research results of this paper will break through the high-efficiency absorption and conversion technology of underwater ocean kinetic energy, realize continuous and high-efficiency power generation, solve the problem of ocean sensor power self-sufficiency, and meet the power supply requirements of ocean underwater observation platforms and other equipment.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133980418","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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