发布求助
文献互助 智能选刊 最新文献

2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)最新文献

筛选
英文 中文
Capacity configuration of distributed generation in microgrid considering the correlation among wind velocity, light intensity and load 考虑风速、光强和负荷相关性的微电网分布式发电容量配置
2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2015-11-01 DOI: 10.1109/APPEEC.2015.7380913
Tao Yan, Wei Tang, Sheng Xu, Yongxiang Cai, Hongtao Feng, Yuting Wang, Yue Wang
{"title":"Capacity configuration of distributed generation in microgrid considering the correlation among wind velocity, light intensity and load","authors":"Tao Yan, Wei Tang, Sheng Xu, Yongxiang Cai, Hongtao Feng, Yuting Wang, Yue Wang","doi":"10.1109/APPEEC.2015.7380913","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7380913","url":null,"abstract":"The correlation among wind velocity, light intensity and load is not considered in generation capacity configuration in microgrid. This paper proposes a combined sampling method which can consider the correlation based on Copula theory. It analyzes the law of data, then chooses the best Copula function of every segment to sample and combines all sampling result together. A mathematical model of capacity configuration of distributed generation in microgrid is established. The model takes the minimum annual economic expenditure as the objective function, and power shortage rate and installation capacity of DG as constraints. With sampling data as input, the model can be solved by particle swarm optimization. Simulation result shows that the configuration result using combined sampling method is similar with the result using real data. In addition, the impact of different correlation on configuration result is analyzed.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130748505","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
Slow coherency based adaptive controlled islanding scheme of the China Southern Power Grid 基于慢相干的南方电网自适应控制孤岛方案
2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2015-11-01 DOI: 10.1109/APPEEC.2015.7381048
Yinguo Yang, Q. Duan, Guobing Wu, Rui Chen, Li Li, Z. An, Jingmin Ni, Chen Shen
{"title":"Slow coherency based adaptive controlled islanding scheme of the China Southern Power Grid","authors":"Yinguo Yang, Q. Duan, Guobing Wu, Rui Chen, Li Li, Z. An, Jingmin Ni, Chen Shen","doi":"10.1109/APPEEC.2015.7381048","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7381048","url":null,"abstract":"Emergency islanding control is the last line of defense to avoid power system collapse, and it plays an important role in the prevention of large scale blackout. This paper carries out the study of slow coherency based adaptive controlled islanding aiming to design an islanding control scheme applicable to AC/DC interconnected power systems. Firstly, a slow coherency based islanding method is proposed based on the mode information in form of complex number, which can deal with the load buses. Then, several criteria are introduced to determine whether an AC/DC hybrid grid is suitable to be split. Finally, the scheme and the criteria are used to design an appropriate islanding scheme for the China Southern Power Grid.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126654028","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: 4
Review of demand side management modelling for application to renewables integration in Australian power markets 需求侧管理模型在澳大利亚电力市场可再生能源整合中的应用综述
2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2015-11-01 DOI: 10.1109/APPEEC.2015.7381083
Zoe Hungerford, A. Bruce, I. MacGill
{"title":"Review of demand side management modelling for application to renewables integration in Australian power markets","authors":"Zoe Hungerford, A. Bruce, I. MacGill","doi":"10.1109/APPEEC.2015.7381083","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7381083","url":null,"abstract":"Demand side management (DSM) has considerable potential to reduce power system generation, transmission and distribution costs. However, the integration of DSM into existing restructured electricity markets is not straightforward. Here, major areas of research into DSM will be reviewed, and the elements of most interest identified, particularly in the context of the Australian National Electricity Market (NEM). This paper focuses on research that uses software modelling tools to examine DSM in large power systems. Demand response (DR) in particular is of broad interest for power systems operation and planning. This is partly due to the potential of DR to facilitate the integration of variable renewable energy sources, and also due to the potential complexities that large quantities of responsive demand may introduce into power markets such as the NEM. This paper will review the suitability of approaches to modelling DSM for renewables integration in the NEM.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128129703","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: 12
Residential precinct demand forecasting using optimised solar generation and battery storage 住宅小区需求预测使用优化的太阳能发电和电池存储
2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2015-11-01 DOI: 10.1109/APPEEC.2015.7381039
S. Percy, M. Aldeen, A. Berry
{"title":"Residential precinct demand forecasting using optimised solar generation and battery storage","authors":"S. Percy, M. Aldeen, A. Berry","doi":"10.1109/APPEEC.2015.7381039","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7381039","url":null,"abstract":"In the future there will be an increased uptake of solar and battery systems in the residential sector, driven by falling battery costs and increasing electricity tariffs. The increased uptake means we need new methods to forecast electricity demand when considering these technologies. This paper has achieved this goal using a two stage model. Stage 1: A machine learning demand model has been created applying adaptive boost to a regression tree algorithm, achieving an RMS error of 0.25. The model has been used to simulate the individual base-demand for 50 homes in a precinct. Stage 2: A linear programing model has been developed that determines the impact of solar and battery storage on that base demand, and optimizes the system capacities for each home in the precinct while limiting emissions. This model shows reducing emissions by 50% through solar and battery storage cost 2.6% more than the grid only scenario.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116855247","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: 4
Application of partitioned-based moving horizon estimation in power system state estimation 基于分割的运动水平估计在电力系统状态估计中的应用
2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2015-11-01 DOI: 10.1109/APPEEC.2015.7380907
Tengpeng Chen, Ashok Krishnan, T. Tran
{"title":"Application of partitioned-based moving horizon estimation in power system state estimation","authors":"Tengpeng Chen, Ashok Krishnan, T. Tran","doi":"10.1109/APPEEC.2015.7380907","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7380907","url":null,"abstract":"The Partitioned-based Moving Horizon Estimation (PMHE), developed previously by others, is applied to the power system state estimation problem in this paper. The constraints on state variables and noises are taken into account in this scheme. In this distributed approach, the network is partitioned into several non-overlapping and observable areas. The global Jacobian matrix is required during the initial time before approaching the converged states. Only the estimated information data between neighboring areas are exchanged afterwards. The communication traffic is thus significantly reduced compared to a centralized solution. Meanwhile, each area estimates its local states by solving a smaller size optimization problem. The optimization problem is, therefore, scalable. PMHE converges to the centralized solution of moving horizon estimation (MHE) within finite time steps. Numerical simulation with the IEEE 14-bus system shows the convergence of PMHE. Further, the estimated states are better than those from the weighted least squares (WLS) with large outliers.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125261900","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
Wind-PV-storage optimal environomic design using multi-objective Artificial Bee Colony 基于多目标人工蜂群的风能-光伏储能优化环境设计
2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2015-11-01 DOI: 10.1109/APPEEC.2015.7381057
H. Shayeghi, M. Moradzadeh, Y. Hashemi, M. Saif, L. Vandevelde
{"title":"Wind-PV-storage optimal environomic design using multi-objective Artificial Bee Colony","authors":"H. Shayeghi, M. Moradzadeh, Y. Hashemi, M. Saif, L. Vandevelde","doi":"10.1109/APPEEC.2015.7381057","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7381057","url":null,"abstract":"This paper proposes a multi-objective optimization formulation to design a hybrid wind-photovoltaic-storage system to supply the demand. This design problem aims to minimize the annual cost of the overall system as well as the CO2 emissions, and is solved by Artificial Bee Colony (ABC) algorithm. Solar irradiation, wind speed, and load data are assumed deterministic. Prices are all empirical and components of hybrid system are commercially available. A test system in the Northwestern Iran is investigated. The presented technique yields the optimal number of system devices such that the economic and environmental profits are maximized. A fuzzy decision making (FDM) method is applied for finding the best compromise solution from the set of Pareto-optimal solutions obtained by ABC.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114175873","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
A novel stability classifier based on reformed support vector machines for online stability assessment 基于改进支持向量机的稳定性分类器在线稳定性评估
2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2015-11-01 DOI: 10.1109/APPEEC.2015.7380884
Weiling Zhang, Wei Hu, Y. Min, Lei Chen, Le Zheng, Xianzhuang Liu
{"title":"A novel stability classifier based on reformed support vector machines for online stability assessment","authors":"Weiling Zhang, Wei Hu, Y. Min, Lei Chen, Le Zheng, Xianzhuang Liu","doi":"10.1109/APPEEC.2015.7380884","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7380884","url":null,"abstract":"Online transient stability assessment (TSA) has always been a tough problem for power systems. One of the promising solutions is to extract hidden stability rules from historical data by machine learning algorithms. These algorithms have not been fully accommodated to TSA, since power system has its special characteristics. To ensure conservativeness of TSA, this paper proposes a synthetic stability classifier based on reformed support vector machines. It separates samples into stable, unstable and grey area. The stable and unstable classes are expected to be exactly correct. Moreover, an SVM solver for large scale problem is designed based on sequential minimal optimization (SMO). It decomposes large scale training into parallel small scale training so as to speed up computation. Case studies on IEEE 39-bus system show no false dismissals and demonstrate the advantage of proposed classifier and SVM solver.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114289904","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: 8
Human energy harvesting adapted for portable electronics applications 适用于便携式电子设备的人体能量收集
2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2015-11-01 DOI: 10.1109/APPEEC.2015.7380973
N. Mohajer, H. Abdi, S. Nahavandi
{"title":"Human energy harvesting adapted for portable electronics applications","authors":"N. Mohajer, H. Abdi, S. Nahavandi","doi":"10.1109/APPEEC.2015.7380973","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7380973","url":null,"abstract":"Energy harvesting from human body motions is of the main interest for consumer electronic devices, wireless sensors, military gadgets, and implantable medical devices. Such harvesters offer environmentally friendly incentives as well as perpetual availability of portable electronics. In this paper, we present a user friendly energy harvesting belt that is able to harvest energy from human's abdominal motions. The concept of the system was introduced by authors [1]. The prototype of the belt is presented here as a proof of concept for this idea. Moreover, further development of the system is discussed in terms of the harvesting circuit.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"24 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120821295","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
Short-term power forecasting for photovoltaic generation based on wavelet neural network and residual correction of Markov chain 基于小波神经网络和马尔可夫链残差校正的光伏发电短期功率预测
2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2015-11-01 DOI: 10.1109/APPEEC.2015.7381043
Xie Hua, Yang Le, Wang Jian, V. Agelidis
{"title":"Short-term power forecasting for photovoltaic generation based on wavelet neural network and residual correction of Markov chain","authors":"Xie Hua, Yang Le, Wang Jian, V. Agelidis","doi":"10.1109/APPEEC.2015.7381043","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7381043","url":null,"abstract":"With large-scale photovoltaic power generation system implementing grid-connected operation, it is essential for the accurate and reliable power forecasting of the photovoltaic generation to reduce the impact of uncertainty on the power network. A method of power forecasting of the photovoltaic generation based on wavelet neural network and residual correction of Markov chain is proposed in this paper. Firstly the various meteorological factors and the correlation coefficient are analyzed to identify the key meteorological factors of the photovoltaic generation. Then a wavelet neural network prediction model is established to forecast the power output of the photovoltaic generation. Finally the forecasting power of the photovoltaic generation can be modified with the residual correction of Markov chain. The case at an area in Beijing is used to verify the applicability and high accuracy of the proposed method.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115701212","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: 5
A dual three-phase induction machine based flywheel storage system driven by modular multilevel converters for fault ride through in HVDC systems 基于模块化多电平变换器驱动的双三相感应电机飞轮储能系统用于高压直流系统的故障穿越
2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2015-11-01 DOI: 10.1109/APPEEC.2015.7380870
M. Daoud, A. Massoud, A. Elserougi, A. Abdel-Khalik, S. Ahmed
{"title":"A dual three-phase induction machine based flywheel storage system driven by modular multilevel converters for fault ride through in HVDC systems","authors":"M. Daoud, A. Massoud, A. Elserougi, A. Abdel-Khalik, S. Ahmed","doi":"10.1109/APPEEC.2015.7380870","DOIUrl":"https://doi.org/10.1109/APPEEC.2015.7380870","url":null,"abstract":"One of the main challenges of voltage source converter based high voltage direct current (VSC-HVDC) transmission systems is the AC faults at the grid side. This work introduces the integration of multiphase induction machine (IM) based flywheel energy storage systems (FESS) with VSC-HVDC systems for AC side fault ride through purposes employing modular multilevel converters (MMC). MMCs have become suitable candidates for medium/high power energy conversion systems due to the capability of simply extending the levels of the converter while retaining high levels of reliability. In order to enhance the storage system reliability, a dual three phase IM is used to drive the FESS due to its fault tolerance capability. In this paper, the performance of the FESS is investigated under the operation of a dual three phase IM being driven by two three-phase MMCs. To step-down the DC-link voltage of the HVDC system to a proper voltage level for IMs, the DC-link voltage is divided into two series connected capacitor, and each capacitor voltage is fed as an input DC voltage for each three- phase MMC. The control strategies of the MMCs and the IM are presented, in addition to the IM mathematical model. Simulation case studies are performed using MATLAB/Simulink to validate the proposed system.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122821132","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: 10
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信