2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)最新文献_第10页

Application of condition monitoring techniques in managing the 11kV switchgear in HK electric 状态监测技术在香港电力11kV开关柜管理中的应用

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2013-12-01 DOI: 10.1109/APPEEC.2013.6837315

Ip Sung Tai, Yan Ka Wing, Ho Kwok Chiu

引用次数: 0

Review of transmission network planning in market environment 市场环境下输电网规划研究综述

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2013-12-01 DOI: 10.1109/APPEEC.2013.6837126

Jian Di, Tianying Chen, Yangjun Hou

引用次数: 1

The important role of feature selection when clustering load and generation scenarios 特征选择在集群负载和生成场景中的重要作用

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2013-12-01 DOI: 10.1109/APPEEC.2013.6837115

H. Kile, K. Uhlen, G. Kjølle

{"title":"The important role of feature selection when clustering load and generation scenarios","authors":"H. Kile, K. Uhlen, G. Kjølle","doi":"10.1109/APPEEC.2013.6837115","DOIUrl":"https://doi.org/10.1109/APPEEC.2013.6837115","url":null,"abstract":"Power market models can generate load and generation scenarios, for a given market regulation. The generated scenarios can be interpreted as a sample of the future utilisation of the power network, and be used as a basis for a contingency and reliability analysis. However, to use all the generated scenarios as input in a contingency and reliability analysis can lead to quite extensive computational requirements. A data reduction framework, which finds groups of similar scenarios, and only uses the group characteristics as input in a contingency and reliability analysis, is presented and discussed. It is shown that the data reduction framework can reduce the computational requirements by about 90% with little loss of accuracy. However, the success of this approach is highly dependent on which features that are used to quantify similarity between scenarios, and it is shown that choosing a set of nonoptimal features leads to large errors. The feature selection is compared with the choice of clustering algorithm, and shows that the feature selection process has a much large impact on the results than the choice of clustering algorithm.","PeriodicalId":330524,"journal":{"name":"2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124907985","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

Ride-through for important auxiliary equipment drive inverter 通过重要辅助设备驱动逆变器

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2013-12-01 DOI: 10.1109/APPEEC.2013.6837259

Xiaoyu Wang, Zhang Tao, Shu Liu, Qixun Yang

引用次数: 0

The future organization of Danish electricity market for integrating DERs — A view of FlexPower project 整合DERs的丹麦电力市场未来组织——FlexPower项目的观点

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2013-12-01 DOI: 10.1109/APPEEC.2013.6837283

Yang Li, Chunyu Zhang, Yi Ding, J. Ostergaard

引用次数: 2

Generalized phase compensation for PSS design PSS设计中的广义相位补偿

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2013-12-01 DOI: 10.1109/APPEEC.2013.6837246

G. Wang, D. Gan, J. Liu, H. Xin, Z. Wang, C. Dai

引用次数: 2

Development of a novel asset management system for power transformers based on ontology 基于本体的电力变压器资产管理系统的开发

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2013-12-01 DOI: 10.1109/APPEEC.2013.6837182

L. Yan, C. H. Wei, W. Tang, Q. Wu

引用次数: 5

Hierarchical control architecture for demand response in smart grids 智能电网需求响应的层次控制体系

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2013-12-01 DOI: 10.1109/APPEEC.2013.6837221

B. Bhattarai, B. Bak‐Jensen, P. Mahat, J. Pillai, M. Maier

{"title":"Hierarchical control architecture for demand response in smart grids","authors":"B. Bhattarai, B. Bak‐Jensen, P. Mahat, J. Pillai, M. Maier","doi":"10.1109/APPEEC.2013.6837221","DOIUrl":"https://doi.org/10.1109/APPEEC.2013.6837221","url":null,"abstract":"To compensate for intermittency of generation and consequent impacts of non-dispatchable generating sources, especially solar PV panels and wind turbines, demand response (DR) has been considered one of the most effective tools. In recent years, DR has received more attention as a potentially effective tool for optimum asset utilization and to avoid or delay the need for new infrastructure investment. Furthermore, most of the power networks are under the process of reconfiguration to realize the concept of smart grid and are at the transforming stage to support various forms of DR. However, a number of issues, including DR enabling technologies, control strategy, and control architecture, are still under discussion. This paper outlines novel control requirements based on the categorization of existing DR techniques. More specifically, the roles and responsibilities of smart grid actors for every DR category are allotted and their mode of interactions to coordinate individual as well as coordinative goals is described. Next, hierarchical control architecture (HCA) is developed for the overall coordination of control strategies for individual DR categories. The involved issues are discussed and compared.","PeriodicalId":330524,"journal":{"name":"2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121127309","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

Risk-constrained coordinative dispatching for battery energy storage systems of wind farms 风电场电池储能系统的风险约束协调调度

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2013-12-01 DOI: 10.1109/APPEEC.2013.6837118

Yang Huang, Wei Hu, Y. Min, Weiling Zhang, Weihua Luo, Zhi-ming Wang, Wei-chun Ge

{"title":"Risk-constrained coordinative dispatching for battery energy storage systems of wind farms","authors":"Yang Huang, Wei Hu, Y. Min, Weiling Zhang, Weihua Luo, Zhi-ming Wang, Wei-chun Ge","doi":"10.1109/APPEEC.2013.6837118","DOIUrl":"https://doi.org/10.1109/APPEEC.2013.6837118","url":null,"abstract":"The large amount of wind power integrated will have great impact on the operation and control of the existing power system because of the variability and unpredictability of wind energy. Battery energy storage systems (BESSs) are expected to mitigate such negative effects as they have great potential for providing energy buffer and additional power regulation capabilities to meet the operation requirements of the system involving high penetration of wind resources. This paper presents a risk-constrained coordinative dispatching method for BESSs of wind farms, in which the energy storage of the wind farm will be utilized for multiple applications at the same time, including day-ahead forecast error compensation and short-term volatility control, as well as systematic thermal efficiency enhancement and congestion management. Proportion of the BESS utilized for different applications will be optimized with a risk-constrained stochastic optimization method. Also, in order to make full advantage of finite energy storage of wind farm, a coordination dispatch method is added to the optimization method. Simulation is carried out based on historical operation data of a real wind farm in Liaoning Province of Northeast China. The Computer simulation results have proven the validity of the system and the approaches designed in the paper.","PeriodicalId":330524,"journal":{"name":"2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115699150","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

State of charge estimation of an all-vanadium redox flow battery based on a thermal-dependent model 基于热相关模型的全钒氧化还原液流电池电荷状态估计

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2013-12-01 DOI: 10.1109/APPEEC.2013.6837290

Xiong Binyu, Jiyun Zhao, Wei Zhongbao, Zhang Chen-da

{"title":"State of charge estimation of an all-vanadium redox flow battery based on a thermal-dependent model","authors":"Xiong Binyu, Jiyun Zhao, Wei Zhongbao, Zhang Chen-da","doi":"10.1109/APPEEC.2013.6837290","DOIUrl":"https://doi.org/10.1109/APPEEC.2013.6837290","url":null,"abstract":"For large energy storage in microgrids, vanadium redox flow batteries (VRBs) have received much attention in recent years. VRBs are promising due to the design flexibility, low manufacturing cost for large scale, indefinite lifetime and recyclable electrolytes. VRB modeling is the prerequisite for battery analysis. In previous studies, the effect of temperature on the battery performance is neglected for simplicity. This temperature independent model may lead to large modeling errors when the surrounding temperature varies in a wide range. In this paper, a thermal-dependent electrical circuit model is proposed to describe the charge/discharge characteristics of VRB. The model is validated by the experimental data. State of charge (SOC) estimation is another key problem in management of VRB since an accurate estimation method can well prevent the over-charge/discharge of battery. Therefore, it is necessary to explore an appropriate method for this novel flow battery. Extended kalman filter (EKF) is implemented in this model to achieve a robust SOC estimation. Simulation results show that EKF based estimator is accurate in SOC prediction with temperature variations. The process and measurement errors are minimized by EKF. The estimation of SOC and temperature facilitates optimal battery operation and thermal management.","PeriodicalId":330524,"journal":{"name":"2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130874051","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: 11