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2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)最新文献

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User Satisfaction and Responsivity Orderly Dispatching Strategies Application on Time-of-use Price of Electronic Vehicle Optimisation 用户满意度与响应性有序调度策略在电动汽车分时电价优化中的应用
2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9062131
Yubao Zhang, H. Hou, Haijun Liu, Bingxin Guo, Rongjian Cui, Peng Liu
{"title":"User Satisfaction and Responsivity Orderly Dispatching Strategies Application on Time-of-use Price of Electronic Vehicle Optimisation","authors":"Yubao Zhang, H. Hou, Haijun Liu, Bingxin Guo, Rongjian Cui, Peng Liu","doi":"10.1109/EI247390.2019.9062131","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9062131","url":null,"abstract":"Disorderly charging of large-scale electric vehicles is detrimental to the safe operation of distribution network. To solve this problem, this paper presents a system for orderly electric vehicle charging strategies based on time-of-use (TOU) price, considering the user responsivity, cost satisfaction and convenience satisfaction. The Monte Carlo method and particle swarm optimization algorithm (PSO) are used to simulate user charging behavior. The results show that this strategy helps to smooth the load fluctuations caused by charging operation, reduce cost and improve user satisfaction.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133012286","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}
引用次数: 3
Research on Fractional Order PID Controller in Servo Control System 分数阶PID控制器在伺服控制系统中的研究
2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9062032
Zhan Qi, Hongming Yang, Maojun Li, Jun Yu Li
{"title":"Research on Fractional Order PID Controller in Servo Control System","authors":"Zhan Qi, Hongming Yang, Maojun Li, Jun Yu Li","doi":"10.1109/EI247390.2019.9062032","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9062032","url":null,"abstract":"The applications of servo control technology in industry, transportation, astronautics, medical treatment, military and other fields are becoming more and more popular, which requires higher performance in response speed, tracking accuracy and adaptability to complex environment. The control algorithm has a vital impact on the performance of the whole servo system. Fractional-order PID (FOPID) controller is an advanced control strategy which has emerged in recent years. It has better control performance and wider application prospects than traditional PID controller. The parameter tuning of FOPID controller using genetic algorithm based on the state-space (GABS) is proposed, which is to achieve global search to obtain the optimal parameters, and then the design of optimal FOPID controller is completed. Compared with FOPID controller optimized by particle swarm optimization (PSO) and integer order PID (IOPID), FOPID controller by GABS has better tuning results. And the system has better performance in response performance, anti-interference ability and robustness.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"118 40","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131942113","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}
引用次数: 0
Optimized design of renewable energy CCHP system combined with exergy efficiency 结合能效的可再生能源热电联产系统优化设计
2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9062135
Yiming Li, Yuhua Bai, Bo Sun, Deyin Ma
{"title":"Optimized design of renewable energy CCHP system combined with exergy efficiency","authors":"Yiming Li, Yuhua Bai, Bo Sun, Deyin Ma","doi":"10.1109/EI247390.2019.9062135","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9062135","url":null,"abstract":"RES-CCHP system can improve energy utilization rate and renewable energy consumption rate. It is an important way to solve the energy and environmental problems as well as having great potential for development. In this paper, a combined cooling and heating power system based on natural gas and solar energy is designed. On the basis of the traditional economic, energy and environmental indexes, the exergy efficiency improvement rate is innovatively added into the evaluation indexes, and the optimization design model for the above four objective functions is established. The optimization of equipment capacity and key operating parameters are realized by using genetic algorithm. Finally, a case simulation is carried out. The results show that the RES-CCHP system after optimized design can not only meet the demand of the load side, but also effectively realize energy saving, emission reduction and efficient utilization of thermal energy.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132030436","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}
引用次数: 1
Research on Evaluation Indices and Assessment Methods of Offshore Multi-platform Integrated Energy System 海上多平台综合能源系统评价指标与评价方法研究
2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9062105
Peiying Gan, Jun Wu, Zhidong Wang, Luxi Hao, Yan Zhang, Fangzheng Peng
{"title":"Research on Evaluation Indices and Assessment Methods of Offshore Multi-platform Integrated Energy System","authors":"Peiying Gan, Jun Wu, Zhidong Wang, Luxi Hao, Yan Zhang, Fangzheng Peng","doi":"10.1109/EI247390.2019.9062105","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9062105","url":null,"abstract":"Offshore multi-platform integrated energy system (IES) is multi-energy coupling oriented to meet the various load needs of users for power, gas, cold and heat. Firstly, the basic structure of offshore multi-platform IES is analyzed and divided into five links: energy coupling, transmission, conversion, consumption and storage. Focusing on the five evaluation criteria of economy, efficiency, safety, flexibility and adaptability, more micro-indicators are proposed for IES evaluation, and the definition and evaluation standard of each index are elaborated in detail. Furthermore, the index value is standardized and the index weight is determined by the improved analytic hierarchy processentropy weight method, by which IES can be evaluated. The feasibility and effectiveness of the proposed evaluation indices and assessment methods are verified in practical cases.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132323698","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}
引用次数: 0
Reliability Analysis of a Microgrid using Dynamic Bayesian Belief Networks 基于动态贝叶斯信念网络的微电网可靠性分析
2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9062133
Teng Lin, Ce Shang
{"title":"Reliability Analysis of a Microgrid using Dynamic Bayesian Belief Networks","authors":"Teng Lin, Ce Shang","doi":"10.1109/EI247390.2019.9062133","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9062133","url":null,"abstract":"Reliability analysis is made more difficult by the variability and intermittency of renewable energy sources that accompany the ageing of components. Most of the existing approaches predict the probability of generation as a single-point value or presume a predefined parametric model for it. Their drawback lies in that they rarely grasp low-probability events which are actually vital to reliability analysis. To overcome this shortcoming, this paper proposes a data-driven sequential unit commitment using the dynamic Bayesian belief networks and makes it the internal model of system operation inside the Monte Carlo simulation for reliability analysis. In each time step, the dynamic Bayesian belief network first generates the probability distributions of renewable energy generation. Then a realization of renewable energy generation is sampled as the boundary of the unit commitment of the present time step. The unit commitment is solved, and its impact of operating the generators on their ageing conditions is accumulated. The dynamic Bayesian belief network prediction and the unit commitment in sequence traverse step by step throughout the time horizon, and form one bid of the Monte Carlo simulation. The convergence of the Monte Carlo simulation is measured by a popular reliability indicator, loss of load probability. The proposed method has its effectiveness justified in its comparison with a point estimation method.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130801833","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}
引用次数: 1
A Simulation Study of Data Flow Time Domain Feature in Power Internet of Things based on OPNET 基于OPNET的电力物联网数据流时域特征仿真研究
2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9062017
Zhidan Zhang, Hua Leng, Haiguo Tang, Hanyang Gong, Di Zhang, Jiran Zhu
{"title":"A Simulation Study of Data Flow Time Domain Feature in Power Internet of Things based on OPNET","authors":"Zhidan Zhang, Hua Leng, Haiguo Tang, Hanyang Gong, Di Zhang, Jiran Zhu","doi":"10.1109/EI247390.2019.9062017","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9062017","url":null,"abstract":"Functions of supervising and controlling for electrical elements and devices are well revealed on the basis of data flow, which is ubiquitous in widespread power internet of things. Although the data flow types are of great variety, different application scenarios are considered to classify them appropriately according to their features. In this paper, the mass data of widespread power internet of things are divided into three types, which are cyclic data, stochastic data, and burst data. The mathematical models are established based on their way of generating. Moreover, the time domain characteristics are studied thoroughly based on OPNET Modeler. The simulation results are helpful for the researchers to evaluate characteristics of various information systems, which are beneficial for system design and upgrade.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130838712","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}
引用次数: 0
Research on Development of Energy Storage Frequency Auxiliary Service in Hybrid Delivery Grid 混合输电网储能频率辅助服务发展研究
2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9062224
Tan Wang, Weizhe Zhang, H. Wei, Zhongrong Ning, Haipeng Sun, Xianglei Bu, Xueting Cheng, Jun Zhao
{"title":"Research on Development of Energy Storage Frequency Auxiliary Service in Hybrid Delivery Grid","authors":"Tan Wang, Weizhe Zhang, H. Wei, Zhongrong Ning, Haipeng Sun, Xianglei Bu, Xueting Cheng, Jun Zhao","doi":"10.1109/EI247390.2019.9062224","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9062224","url":null,"abstract":"Energy storage technology is realized large-scale application in the field of power system frequency modulation with its sensitive and accurate output characteristics. In most countries, energy storage is an important energy aid, which has enabled the rapid development and application of energy storage. The main domestic frequency regulation service market rules are proposed to analyze the effect of energy storage participation in frequency regulation in combination with the application status of domestic and international energy storage frequency regulation projects. A positive impact is proved by the simulation which is about the energy storage involved in frequency modulation in the AC-DC hybrid grid","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125339165","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}
引用次数: 1
A Study on Energy Management Research for Ubiquitous Power Internet of Things 面向泛在电力物联网的能源管理研究
2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9062080
Fuxing Zhang, Juan Luo, Y. Gui, Tao Zhang, Rui Wang, Honglei Miao
{"title":"A Study on Energy Management Research for Ubiquitous Power Internet of Things","authors":"Fuxing Zhang, Juan Luo, Y. Gui, Tao Zhang, Rui Wang, Honglei Miao","doi":"10.1109/EI247390.2019.9062080","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9062080","url":null,"abstract":"Ubiquitous Power Internet of Things is an effective way to solve the problem of large-scale distributed renewable energy, but it also faces many difficulties and challenges in theoretical exploration and application practice. This paper summarizes the research status of energy management of energy internet system from different aspects such as energy management architecture, modeling, algorithm and management strategy. The research results can be used as reference for relevant managers.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125502981","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}
引用次数: 0
An Approach for Resistance Parameter Identification of Transmission Line Based on Electric Energy Data 基于电能数据的输电线路电阻参数识别方法
2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9061775
Jun Liu, Lingling Pan, Min Lu, Yanwei Xiao
{"title":"An Approach for Resistance Parameter Identification of Transmission Line Based on Electric Energy Data","authors":"Jun Liu, Lingling Pan, Min Lu, Yanwei Xiao","doi":"10.1109/EI247390.2019.9061775","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9061775","url":null,"abstract":"With the continuous development of power grid and the massive access of renewable energy sources, the operation characteristics of large power grid are becoming more and more complex. Meanwhile requirements for lean dispatching of power grid are also increasing. Lean operation of power grid with minimum network loss as target is based on the resistance parameter of transmission line. However, the identification of lines is easily affected by the amplitude of voltage, so the results are low in reliability. Considering the comprehensive errors of corona losses and electric energy meter data of high-voltage transmission lines, this paper proposes a method of resistance parameter identification based on monthly electric energy data. The measurement error equations are constructed by using multi historical monthly electric energy data and supervisory control and data acquisition current data. Practical system examples prove the validity and correctness of the method.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126234874","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}
引用次数: 0
Hierarchical Optimal Planning of Battery Energy Storage Systems in Radial Distribution Networks 径向配电网中蓄电池储能系统的分层优化规划
2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2019-11-01 DOI: 10.1109/EI247390.2019.9061757
Xiao Qian, Shujun Zhang, Jinjie Liu, Yu Zheng, Wenxuan Liu
{"title":"Hierarchical Optimal Planning of Battery Energy Storage Systems in Radial Distribution Networks","authors":"Xiao Qian, Shujun Zhang, Jinjie Liu, Yu Zheng, Wenxuan Liu","doi":"10.1109/EI247390.2019.9061757","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9061757","url":null,"abstract":"In this paper, an optimal planning model of battery energy storage systems (BESS) in radial distribution networks is proposed to regulate bus voltage and reduce energy cost. The optimal number, locations and capacity for BESS is obtained by a hierarchical optimal planning model. The model firstly determines the BESS number. Then the most effective locations can be selected based on voltage sensitivity analysis. Given the number and location, the BESS capacity can be determined by a constrained mixed-integer nonlinear programming problem solved by natural aggregation algorithm (NAA). The final configuration of BESS is determined by voltage regulation constrained minimizing the total life cycle cost, which includes the system operation cost, investment cost, residual value of BESS, and, etc. A case study conducted on a modified IEEE 15-bus distribution system shows the performance and outcome of the optimal planning model.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123096404","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}
引用次数: 3
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