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2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)最新文献

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Grey-Box Modeling for Photo-Voltaic Power Systems Using Dynamic Neural-Networks 基于动态神经网络的光伏发电系统灰盒建模
2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-05-09 DOI: 10.1109/GREENTECH.2017.45
Naji Al-Messabi, C. Goh, Yun Li
{"title":"Grey-Box Modeling for Photo-Voltaic Power Systems Using Dynamic Neural-Networks","authors":"Naji Al-Messabi, C. Goh, Yun Li","doi":"10.1109/GREENTECH.2017.45","DOIUrl":"https://doi.org/10.1109/GREENTECH.2017.45","url":null,"abstract":"There exists various ways of modeling and forecasting photo-voltaic (PV) systems. These methods can be categorized, in board-way, under either definite equations models (white or clear-box) or heuristic data-driven artificial intelligence models (black-box). The two directions of modeling pose a number of drawbacks. To benefit from both worlds, this paper proposes a novel method where clear-box model is extended to a grey-box model by modeling uncertainities using focused time-delay neural network models. The grey-box or semi-definite model was shown to exhibit enhanced forecasting capabilities.","PeriodicalId":104496,"journal":{"name":"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115584383","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: 2
Transformer Aging due to High Penetrations of PV, EV Charging, and Energy Storage Applications 由于光伏、电动汽车充电和储能应用的高渗透，变压器老化
2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-29 DOI: 10.1109/GREENTECH.2017.30
K. McBee
{"title":"Transformer Aging due to High Penetrations of PV, EV Charging, and Energy Storage Applications","authors":"K. McBee","doi":"10.1109/GREENTECH.2017.30","DOIUrl":"https://doi.org/10.1109/GREENTECH.2017.30","url":null,"abstract":"High penetrations of photovoltaic (PV) systems, energy storage (ES) devices, and electric vehicle (EV) charging may significantly affect the operational constraints of substation power transformers. In high penetrations these applications can flatten a transformer's daily load profile, which minimizes the cooling down period for the unit's paper insulation. Also, because these applications rely upon power electronics to interface with the electric grid, high penetrations can increase the volume of harmonic currents propagating through the distribution system, which can also impact transformer aging. Although the initial impact of PV and ES applications may reduce a unit's peak energy demand, long-term system planning and emergency operating conditions may require derating of existing capacity limits to prevent aging that impacts overall life expectancy. To identify transformer aging characteristics as a function of load profile and harmonic content, the authors developed a transformer transient model based upon the tested attributes of a 50MVA SPX Waukesha transformer and the modeling methods described in IEEE Std. C57.90 and IEEE Std. C57.110. Utilizing the model, the authors identified the relationship between aging, harmonic distortion, and load profile characteristics associated with high penetrations of PV, ES applications, and EV charging.","PeriodicalId":104496,"journal":{"name":"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115726903","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: 18
The Prediction of Electrical Vehicles' Growth Rate and Management of Electrical Energy Demand in Turkey 土耳其电动汽车增长速度预测及电能需求管理
2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-29 DOI: 10.1109/GREENTECH.2017.23
M. Yilmaz
{"title":"The Prediction of Electrical Vehicles' Growth Rate and Management of Electrical Energy Demand in Turkey","authors":"M. Yilmaz","doi":"10.1109/GREENTECH.2017.23","DOIUrl":"https://doi.org/10.1109/GREENTECH.2017.23","url":null,"abstract":"Turkey has foreign dependence of energy up to %75. The %65 of imported sources is used in electrical energy. The problems mentioned in this paper affect badly next generation automobile technologies, such as electrical vehicles and smart electrical grids. The Turkish state obtained copyright of SAAB electrical vehicle 9-3 in 2015 which used to belong NEVS (National Electrical Vehicle Sweden). The Turkish state claims that the domestic electrical vehicle will be available for market in 2018. On the other hand, non-domestic vehicle industry is highly likely to have a positive growth rate during the next years in Turkey. This paper proposes the prediction of growth rate of electrical vehicle in Turkey and solution for electrical grid problems which caused load of electrical vehicles. The results show that a solution of the current consumption of electricity shifting from peak2 (18:00-22:00) to peak3 (22:00-06:00) is caused to reduce the new power plant investments and provided power optimization.","PeriodicalId":104496,"journal":{"name":"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116178080","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: 2
Comparison of the Holomorphic Embedding Load Flow Method with Established Power Flow Algorithms and a New Hybrid Approach 全纯嵌入潮流法与已有潮流算法及一种新的混合潮流法的比较
2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-29 DOI: 10.1109/GREENTECH.2017.36
Patrick S. Sauter, C. Braun, Mathias Kluwe, S. Hohmann
{"title":"Comparison of the Holomorphic Embedding Load Flow Method with Established Power Flow Algorithms and a New Hybrid Approach","authors":"Patrick S. Sauter, C. Braun, Mathias Kluwe, S. Hohmann","doi":"10.1109/GREENTECH.2017.36","DOIUrl":"https://doi.org/10.1109/GREENTECH.2017.36","url":null,"abstract":"This paper presents the results of a comparison of the well-established power-flow algorithms Gauss-Seidel, Newton-Raphson, Dishonest Newton-Raphson, Decoupled Load Flow, Fast Decoupled Load Flow, DC Power-Flow and the new Holomorphic Embedding Load Flow Method (HELM). The algorithms are assessed using 21 PQ-powerflow test cases with numbers of nodes ranging from 2 to 3120. The focus of the analysis is on the precision of the solutions of the algorithms and the required computation time. The comparison shows some disadvantages of HELM and motivates a new Adaptive Hybrid Approach that combines the Holomorphic Embedding Load Flow Method and iterative algorithms to merge the benefits of both techniques. The Adaptive Hybrid Approach is able to calculate precise solutions for every test case without starting values and is on average faster than the Newton-Raphson method while being more flexible than every other algorithm considered here. It is also shown that the Adaptive Hybrid Approach yields the correct solution like HELM if it exists.","PeriodicalId":104496,"journal":{"name":"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131054266","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
Optimal Placement of a Heat Pump in an Integrated Power and Heat Energy System 热泵在综合动力和热能系统中的最佳配置
2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-29 DOI: 10.1109/GREENTECH.2017.42
Sergey Klyapovskiy, S. You, H. Bindner, Hanmin Cai
{"title":"Optimal Placement of a Heat Pump in an Integrated Power and Heat Energy System","authors":"Sergey Klyapovskiy, S. You, H. Bindner, Hanmin Cai","doi":"10.1109/GREENTECH.2017.42","DOIUrl":"https://doi.org/10.1109/GREENTECH.2017.42","url":null,"abstract":"With the present trend towards Smart Grids and Smart Energy Systems it is important to look for the opportunities for integrated development between different energy sectors, such as electricity, heating, gas and transportation. This paper investigates the problem of optimal placement of a heat pump – a component that links electric and heating utilities together. The system used to demonstrate the integrated planning approach has two neighboring 10kV feeders and several distribution substations with loads that require central heating from the heat pump. The optimal location is found with the help of mathematical optimization that minimizes investments of both electric and heating utilities, achieving the reduction of the total investment. The optimization is performed in Matlab using built-in Genetic Algorithm function and Matpower software package for calculating power flow equations.","PeriodicalId":104496,"journal":{"name":"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)","volume":"527 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133439670","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
Double Integral Sliding Mode Control for Single-Stage Active FIBC-PFC in Smart Grid Applications 智能电网中单级有源fc - pfc的双积分滑模控制
2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-29 DOI: 10.1109/GREENTECH.2017.7
F. Harirchi, H. Sartipizadeh
{"title":"Double Integral Sliding Mode Control for Single-Stage Active FIBC-PFC in Smart Grid Applications","authors":"F. Harirchi, H. Sartipizadeh","doi":"10.1109/GREENTECH.2017.7","DOIUrl":"https://doi.org/10.1109/GREENTECH.2017.7","url":null,"abstract":"This work addresses a single-stage active power factor correction (PFC) scheme that is implemented using a Floating Interleaved Boost Converter (FIBC) equipped with an indirect Double Integral Sliding Mode Controller (DISMC) adopted for a single phase full bridge rectifier. Due to the high gain, high efficiency and small size components, FIBC-based approach can achieve unit power factor and voltage-regulation within a single-stage configuration in addition to optimize the system configuration. An indirect DISMC scheme is proposed to reduce the steady-state error and chattering while achieving fast transient and reasonable stability. The proposed controller can effectively improve the tracking performance of the line current. Simulations have been done by MATLAB indicate that, the proposed approach drives the output voltage to the desired DC level in the presence of external disturbances and internal parameter uncertainties, while providing close to unity power factor.","PeriodicalId":104496,"journal":{"name":"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121158206","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
Grid-Price Dependent Optimal Energy Storage Management Strategy for Grid-Connected Industrial Microgrids 并网工业微电网价格相关的最优储能管理策略
2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-29 DOI: 10.1109/GREENTECH.2017.24
Abinet Tesfaye Eseye, D. Zheng, Han Li, Jianhua Zhang
{"title":"Grid-Price Dependent Optimal Energy Storage Management Strategy for Grid-Connected Industrial Microgrids","authors":"Abinet Tesfaye Eseye, D. Zheng, Han Li, Jianhua Zhang","doi":"10.1109/GREENTECH.2017.24","DOIUrl":"https://doi.org/10.1109/GREENTECH.2017.24","url":null,"abstract":"This paper presents an optimal energy management strategy for the operation of multiple energy storage units (batteries) in grid-connected industrial microgrids with high-penetration renewables in a variable grid-price scenario. The approach is based on a regrouping particle swarm optimization (RegPSO) formulated over a day-ahead scheduling horizon with one hour time interval, considering forecasted renewable energy generations and electric load demands. Besides satisfying its local energy demands, the microgrid considered in this paper (a real industrial microgrid, \"Goldwind Smart Microgrid System\" in Beijing, China), participates in energy trading with the main grid, it can either sell power to the main grid or buy from the main grid. Performance objectives include minimization of operation and maintenance costs and energy purchasing expenses from the main grid, and maximization of financial profit from energy selling revenues to the main grid. Simulation results demonstrate the effectiveness of various aspects of the proposed strategy in different scenarios. To validate the performance of the proposed strategy, obtained results are compared to a genetic algorithm (GA) based reference energy management approach and reveal that the RegPSO based strategy was able to find a global optimal solution in considerably less computation time than the GA based reference approach.","PeriodicalId":104496,"journal":{"name":"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116839019","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: 20
Long-Term Planning with Battery-Based Energy Storage Transportation in Power System 基于电池储能运输的电力系统长期规划
2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-29 DOI: 10.1109/GREENTECH.2017.53
Dan Lu, Zuyi Li
{"title":"Long-Term Planning with Battery-Based Energy Storage Transportation in Power System","authors":"Dan Lu, Zuyi Li","doi":"10.1109/GREENTECH.2017.53","DOIUrl":"https://doi.org/10.1109/GREENTECH.2017.53","url":null,"abstract":"This paper presents integrating the Battery-based Energy Storage Transportation (BEST) into optimization of generation and transmission planning in electric power system. BEST is the transportation of modular battery-based energy storage (BES) with gird-connection capabilities on train cars via existing railroad tracks to grid locations. BEST not only provides energy storage, but also transport the energy from source to load center. This makes BEST a better way to substitute generation and transmission planning within its ability. The objective function of this problem is minimizing the total system planning cost which consisted with the investment cost of candidate generation units, transmission lines and BES, operation cost of all running generation units and BES, and penalty of loss of load. A 6-bus system with 3 stations which can charging/discharging with grid is used in the numerical simulations, and the results shows the flexibility and optimization of BES compared to generation and transmission planning only. Renewable energy sources (RES) as one kind of candidate units will be added to the problem.","PeriodicalId":104496,"journal":{"name":"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122101897","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
Forecasting of Solar Photovoltaic System Power Generation Using Wavelet Decomposition and Bias-Compensated Random Forest 基于小波分解和偏差补偿随机森林的太阳能光伏发电预测
2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-29 DOI: 10.1109/GREENTECH.2017.44
Po-Han Chiang, Siva Prasad Varma Chiluvuri, S. Dey, Truong Q. Nguyen
{"title":"Forecasting of Solar Photovoltaic System Power Generation Using Wavelet Decomposition and Bias-Compensated Random Forest","authors":"Po-Han Chiang, Siva Prasad Varma Chiluvuri, S. Dey, Truong Q. Nguyen","doi":"10.1109/GREENTECH.2017.44","DOIUrl":"https://doi.org/10.1109/GREENTECH.2017.44","url":null,"abstract":"The use of solar photovoltaic (PV) power is a promising solution to reduce grid power consumption and carbon dioxide emissions. However, the benefit of utilizing solar PV power is limited by its highly intermittent and unreliable nature. The non-stationary and non-linear characteristic of solar irradiance makes solar PV difficult to predict by traditional time series and artificial intelligence (AI) approaches. To address the above challenges, we propose a novel technique integrating stationary wavelet transform (SWT) and random forest models. Instead of conventional decompose-and-reconstruct process in SWT, we only apply the wavelet decomposition to extract the information from raw data with better time-frequency resolutions. We also propose a bias-compensation technique to minimize the prediction error. Our experimental results using sensors data from the on-campus microgrid demonstrate the proposed approach is robust to different forecast time horizons and has smaller prediction error.","PeriodicalId":104496,"journal":{"name":"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127400069","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: 27
Power Metering: History and Future Trends 电力计量:历史与未来趋势
2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-29 DOI: 10.1109/GREENTECH.2017.10
F. Garcia, F. Marafão, Wesley Angelino de Souza, L. C. P. Silva
{"title":"Power Metering: History and Future Trends","authors":"F. Garcia, F. Marafão, Wesley Angelino de Souza, L. C. P. Silva","doi":"10.1109/GREENTECH.2017.10","DOIUrl":"https://doi.org/10.1109/GREENTECH.2017.10","url":null,"abstract":"Considering the rising demand for electricity around the world, several technologies have been developed to provide a more efficient and modern power system. In this context, the smart grid concept is related to the integration and management of different power system devices, aiming to provide technical, economic, social and environmental benefits. Thus, the smart meter has become one of the main elements in smart grids and it may provide much more capabilities than the conventional electromechanical and electronic energy meters. Therefore, this paper discusses the main differences between smart and conventional power meters, pointing to the new features, methodologies and applications of modern smart meters. Moreover, this paper deals with the definition of \"smart\", introducing possible functionalities and applications that can effectively impact on the understanding of the energy consumption, while allowing to improve power management and energy efficiency.","PeriodicalId":104496,"journal":{"name":"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128349263","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: 34
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