2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)最新文献_第9页

Univariate time series prediction of solar power using a hybrid wavelet-ARMA-NARX prediction method 基于混合小波- arma - narx预测方法的单变量时间序列太阳能发电预测

2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2016-05-03 DOI: 10.1109/TDC.2016.7519959

H. Nazaripouya, B. Wang, Y. Wang, P. Chu, H. Pota, R. Gadh

{"title":"Univariate time series prediction of solar power using a hybrid wavelet-ARMA-NARX prediction method","authors":"H. Nazaripouya, B. Wang, Y. Wang, P. Chu, H. Pota, R. Gadh","doi":"10.1109/TDC.2016.7519959","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519959","url":null,"abstract":"This paper proposes a new hybrid method for super short-term solar power prediction. Solar output power usually has a complex, nonstationary, and nonlinear characteristic due to intermittent and time varying behavior of solar radiance. In addition, solar power dynamics is fast and is inertia less. An accurate super short-time prediction is required to compensate for the fluctuations and reduce the impact of solar power penetration on the power system. The objective is to predict one step-ahead solar power generation based only on historical solar power time series data. The proposed method incorporates discrete wavelet transform (DWT), Auto-Regressive Moving Average (ARMA) models, and Recurrent Neural Networks (RNN), while the RNN architecture is based on Nonlinear Auto-Regressive models with eXogenous inputs (NARX). The wavelet transform is utilized to decompose the solar power time series into a set of richer-behaved forming series for prediction. ARMA model is employed as a linear predictor while NARX is used as a nonlinear pattern recognition tool to estimate and compensate the error of wavelet-ARMA prediction. The proposed method is applied to the data captured from UCLA solar PV panels and the results are compared with some of the common and most recent solar power prediction methods. The results validate the effectiveness of the proposed approach and show a considerable improvement in the prediction precision.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"521 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77033022","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: 60

Integrating customer interruption costs into outage management systems 将客户中断成本整合到中断管理系统中

2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2016-05-03 DOI: 10.1109/TDC.2016.7519888

Josh A. Schellenberg, Barney Speckman, J. Eto

引用次数: 0

Investigating the lightning effect on compact transmission lines by employing Monte Carlo method 用蒙特卡罗方法研究了雷电对紧凑输电线路的影响

2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2016-05-03 DOI: 10.1109/TDC.2016.7519980

Saeed Mohajeryami, M. Doostan

引用次数: 1

A robust load shedding strategy for microgrid islanding transition 微电网孤岛化转型的鲁棒减载策略

2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2016-05-03 DOI: 10.1109/TDC.2016.7520055

Guodong Liu, B. Xiao, M. Starke, O. Ceylan, K. Tomsovic

{"title":"A robust load shedding strategy for microgrid islanding transition","authors":"Guodong Liu, B. Xiao, M. Starke, O. Ceylan, K. Tomsovic","doi":"10.1109/TDC.2016.7520055","DOIUrl":"https://doi.org/10.1109/TDC.2016.7520055","url":null,"abstract":"A microgrid is a group of interconnected loads and distributed energy resources. It can operate in either gridconnected mode to exchange energy with the main grid or run autonomously as an island in emergency mode. However, the transition of microgrid from grid-connected mode to islanded mode is usually associated with excessive load (or generation), which should be shed (or spilled). Under this condition, this paper proposes an robust load shedding strategy for microgrid islanding transition, which takes into account the uncertainties of renewable generation in the microgrid and guarantees the balance between load and generation after islanding. A robust optimization model is formulated to minimize the total operation cost, including fuel cost and penalty for load shedding. The proposed robust load shedding strategy works as a backup plan and updates at a prescribed interval. It assures a feasible operating point after islanding given the uncertainty of renewable generation. The proposed algorithm is demonstrated on a simulated microgrid consisting of a wind turbine, a PV panel, a battery, two distributed generators (DGs), a critical load and a interruptible load. Numerical simulation results validate the proposed algorithm.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"116 8 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84242028","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: 13

An Arbitrary-Resampling-based synchrophasor measurement algorithm in compliance with IEEE Std C37.118.1a-2014: Design, implementation, and validation 一种符合IEEE标准C37.118.1a-2014的基于任意重采样的同步相量测量算法:设计、实现和验证

2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2016-05-03 DOI: 10.1109/TDC.2016.7519915

Q. Guo, Rui Gan

引用次数: 3

A probabilistic-based PV and energy storage sizing tool for residential loads 基于概率的住宅负荷光伏和储能分级工具

2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2016-05-03 DOI: 10.1109/TDC.2016.7519940

Xiangqi Zhu, Jiahong Yan, N. Lu

{"title":"A probabilistic-based PV and energy storage sizing tool for residential loads","authors":"Xiangqi Zhu, Jiahong Yan, N. Lu","doi":"10.1109/TDC.2016.7519940","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519940","url":null,"abstract":"This paper presents a probabilistic-based sizing tool for residential home owners, load serving entities, and utilities to select energy storage (ES) and photovoltaic (PV) based on historical load characteristics and load management options. The inputs of the tool include historical residential load profiles and solar radiation data. The outputs of the tool include ensembles of the net load profiles (load minus solar), with and without applying load energy management for different PV and ES installation capacities. The operation statistics of the ES is used to determine the confidence levels of meeting selected performance criterion. In the simulation, a set of 1-year, 15-minute data collected from 50 actual residential homes is used as the load inputs. A set of 1-year, 5-minute actual solar radiation data is used as the solar inputs. Managing load consumptions for reducing the size of ES is investigated by controlling air conditioning loads. Simulation results show that the probabilistic-based sizing method can give the users a clear comparison of the tradeoffs among different options and assist them make more informed decisions.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"210 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86733978","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: 16

Coordinated planning of Distributed Energy Resources and microgrid network 分布式能源与微电网协同规划

2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2016-05-03 DOI: 10.1109/TDC.2016.7519955

Xian-Chang Guo, He Guo, Haozhong Cheng

{"title":"Coordinated planning of Distributed Energy Resources and microgrid network","authors":"Xian-Chang Guo, He Guo, Haozhong Cheng","doi":"10.1109/TDC.2016.7519955","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519955","url":null,"abstract":"Current planning in microgrid includes two decoupled processes: the Distributed Energy Resources (DERs) planning and network topology planning. Each planning process is implemented assuming the other is given, i.e., the DERs planning is implemented assuming the network topology is fixed and vice versa. The decoupled planning processes may result in suboptimal solutions and deteriorate the microgrid reliability under the high penetration of DERs. The coordinated generation and network planning is necessary to maximize the social surplus and improve the system reliability. In this paper, a novel framework to coordinate the planning of DERs capacity and microgrid network topology is proposed. To improve the computational efficiency, the problem is further decomposed into DERs capacity planning sub-problem and microgrid network planning sub-problem. The Adaptive Discrete Particle Swarm Optimization (DPSO) algorithm is applied to solve the capacity planning sub-problem, and improved Genetic Algorithm (GA) is used to solve the network topology planning sub-problem. Case studies on a 29- bus microgrid system in Shanghai is tested to demonstrate the effectiveness of the proposed model.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"32 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86137865","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

Economic dispatch of wind-thermal power system with MW and ramp rate dependent generator costs 基于兆瓦和斜坡率的风电系统经济调度

2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2016-05-03 DOI: 10.1109/TDC.2016.7519856

Mingyang Li, X. Zou, Wei Wang, Yuguang Niu, Ji-zhen Liu

{"title":"Economic dispatch of wind-thermal power system with MW and ramp rate dependent generator costs","authors":"Mingyang Li, X. Zou, Wei Wang, Yuguang Niu, Ji-zhen Liu","doi":"10.1109/TDC.2016.7519856","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519856","url":null,"abstract":"Making use of the steam heat storage in thermal generators enables them to operate in a “fast mode” to ramp up or down faster than regular, so as to better catch up with the fluctuations of wind power to improve system wind utilization. In such fast mode, generators have MW-dependent ramp rates and, distinguished from regular units, MW and ramp rate dependent coal consumption costs. Existing economic dispatch models usually use MW-dependent generator cost functions and constant ramp rate limits, and are thus not applicable to systems containing fast mode generators. This paper presents a new formulation of dynamic economic dispatch for wind-thermal power systems, to take into account ramping capabilities and costs of generators in their fast mode. In our model, the objective is to minimize a two-variable quadratic generator cost function depending on both output levels and ramp rates, and generator ramp rate limits are MW-dependent piece-wise linear functions. The formulation can be solved by using existing quadratic programming methods. In numerical examples implemented by using CPLEX, our model is demonstrated on the IEEE 30-bus system containing two 600MW thermal units with real data. Results show that by using our model, unit ramping capabilities are better utilized in system dispatch to substantially save curtailed wind energy, and total generator costs are reduced.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"25 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82152137","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

345–138 kV substation upgrade project 345-138千伏变电站改造工程

2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2016-05-03 DOI: 10.1109/TDC.2016.7520013

E. Crockett, James T. Kerkhoven, D. Eakins, Brian J. Smith, Carl M. Formento

引用次数: 0

Determination of switching sequence of Service Restoration in Distribution Systems: Application and analysis on a real and large-scale radial system 配电系统业务恢复切换顺序的确定:在实际大型径向系统中的应用与分析

2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) Pub Date : 2016-05-03 DOI: 10.1109/TDC.2016.7520034

Marcos H. M. Camillo, R. Fanucchi, Marcel E. V. Romero, T. W. de Lima, L. T. Marques, J. Massignan, Carlos Dias Maciel, A. Soares, A. Delbem, M. Bessani, J. London

{"title":"Determination of switching sequence of Service Restoration in Distribution Systems: Application and analysis on a real and large-scale radial system","authors":"Marcos H. M. Camillo, R. Fanucchi, Marcel E. V. Romero, T. W. de Lima, L. T. Marques, J. Massignan, Carlos Dias Maciel, A. Soares, A. Delbem, M. Bessani, J. London","doi":"10.1109/TDC.2016.7520034","DOIUrl":"https://doi.org/10.1109/TDC.2016.7520034","url":null,"abstract":"It is computationally hard to solve the Service Restoration (SR) problem for large-scale Distribution Systems (DSs) without any system simplification, since this problem is combinatorial and non-linear, involving several constraints and objectives. The methodology named MEAN-MH+ES has proved able to generate feasible solutions (radial configuration attending all the operational constraints) with relatively soft computing and without requiring any network simplification in several tests performed on the real and large-scale DS of Londrina city (Brazil). The MEAN-MH+ES combines Multi-objective Evolutionary Algorithm with Node-Depth Encoding, Multiple-criteria tables, alarming Heuristic and an Exhaustive search. However, as the majority of the methodologies for solving the SR problem, the MEAN-MH+ES does not provide a feasible sequence of switching operations to reach the final configuration (the feasible solution) from the initial configuration (the configuration with the faulted areas identified and isolated). This paper proposes to incorporate a heuristic procedure into MEAN-MH+ES, which enable to provide a Feasible Sequence of Switching Operations (FSSO), that is, a switching operation sequence that generates only intermediate configurations that respect the operational constraints. The proposed heuristic procedure is confirmed on tests performed on the real and large-scale DS of Londrina city.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"31 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76460757","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: 7