2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)最新文献

Impulse Characteristics of Earth Electrodes in Different Soil Resistivity by Field Measurements 不同土壤电阻率条件下接地电极的脉冲特性

2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2018-10-01 DOI: 10.1109/APPEEC.2018.8566623

M. Reffin, N. M. Nor, S. Abdullah, N. Ahmad, M. Othman

引用次数: 1

Forecasting of Electricity Prices Using Deep Learning Networks 利用深度学习网络预测电价

2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2018-10-01 DOI: 10.1109/APPEEC.2018.8566313

Wenjie Zhang, Farwa Cheema, D. Srinivasan

引用次数: 7

Stochastic Optimal Operation of Low-Carbon Renewable Energy System 低碳可再生能源系统的随机优化运行

2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2018-10-01 DOI: 10.1109/APPEEC.2018.8566283

Da Xu, Pengda Wang, Guang Feng, Bin Zhou, Longjie Huang, Wenfang Li

引用次数: 1

Optimum Operation Plan for Multiple Existing EV Charging Stations 现有多个电动汽车充电站的最优运行方案

2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2018-10-01 DOI: 10.1109/APPEEC.2018.8566620

Yuta Susowake, Huang Yongyi, T. Senjyu, A. M. Howlader, P. Mandal

引用次数: 2

Study on Medium and Long-Term Generation Expansion Planning Method Considering the Requirements of Green Low-Carbon Development 考虑绿色低碳发展要求的中长期扩产规划方法研究

2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2018-10-01 DOI: 10.1109/APPEEC.2018.8566580

Jing Wu, Jian Qiu, Xuesong Wang, Y. Ni, Xiaoqi Han, Jianfeng Dai, Zhongming Du, Xiaorong Xie

{"title":"Study on Medium and Long-Term Generation Expansion Planning Method Considering the Requirements of Green Low-Carbon Development","authors":"Jing Wu, Jian Qiu, Xuesong Wang, Y. Ni, Xiaoqi Han, Jianfeng Dai, Zhongming Du, Xiaorong Xie","doi":"10.1109/APPEEC.2018.8566580","DOIUrl":"https://doi.org/10.1109/APPEEC.2018.8566580","url":null,"abstract":"The development path for generation expansion planning is gradually shifting from economical optimization to a multi-objective collaborative optimization, looking for a solution which is environmental friendly, economical and low-carbon. In this paper, a planning model is proposed, which aims at minimizing the total social cost under the constraints introduced by the renewable energy development strategies, the combination of flexible power supplies, and the scale of fossil energy development. After discussing the weaknesses of current generation expansion planning methods, a research methodology is proposed. Then, based on the idea of decomposition and coordination, a bi-level generation expansion planning model aiming at the largest proportion of non-fossil energy and the lowest social cost is built. The upper level is a power source investment decision-making problem, taking the lowest investment cost as objective function and considering various constraints such as power system operation, resources, policies and so on. The lower level is a probabilistic production simulation problem considering the characteristics of renewable energy. Afterwards, a multi-layer iteration optimization algorithm is used to simulate development paths of power supplies with different proportions of non-fossil energy. At last, based on the data of a province in China, the proposed planning model and optimization method are simulated and verified.","PeriodicalId":337478,"journal":{"name":"2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126951555","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

Investigation on Switching Overvoltage in an Offshore Wind Farm and Its Mitigation Methods Based on Laboratory Experiments 海上风电场开关过电压及其缓解方法的实验研究

2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2018-10-01 DOI: 10.1109/APPEEC.2018.8566662

Jiujiang Zhou, Wenhu Tang, Y. Xin, Qinghua Wu

引用次数: 2

Network Expansion for Improved Reliability in Distribution Networks 为提高配电网可靠性而进行的网络扩展

2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2018-10-01 DOI: 10.1109/APPEEC.2018.8566464

Joel Jose, Anupama Kowli

引用次数: 1

State of Charge Estimation for Lithium-ion Battery Based on Random Forests Technique with Gravitational Search Algorithm 基于重力搜索随机森林技术的锂离子电池充电状态估计

2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2018-10-01 DOI: 10.1109/APPEEC.2018.8566648

M. Lipu, A. Ayob, M. Saad, A. Hussain, M. A. Hannan, M. Faisal

{"title":"State of Charge Estimation for Lithium-ion Battery Based on Random Forests Technique with Gravitational Search Algorithm","authors":"M. Lipu, A. Ayob, M. Saad, A. Hussain, M. A. Hannan, M. Faisal","doi":"10.1109/APPEEC.2018.8566648","DOIUrl":"https://doi.org/10.1109/APPEEC.2018.8566648","url":null,"abstract":"An accurate state of charge (SOC) estimation for lithium-ion battery has been an intensively researched subject in electric vehicle (EV) application towards the advancement of the sustainable transportation system. However, SOC estimation with high accuracy is challenging because of the complex internal characteristics of the lithium-ion battery which is changed by different environmental situations. This paper develops an accurate method for the state of charge (SOC) estimation of a lithium-ion battery using random forests (RFs) algorithm. However, the accuracy of RFs highly depends on the appropriate selection of trees and leaves per tree in a forest. Thus, this research develops an enhanced model with RFs based gravitational search algorithm (GSA). The aim of GSA is to find the best value of trees and leaves per tree. The robustness and accuracy of the proposed model are tested under different temperatures. The model training and validation are executed using federal urban driving schedule (FUDS). The effectiveness of the proposed method is compared with the conventional RFs and radial basis function neural network (RBFNN) and optimal RBFNN-GSA models using different statistical error terms and computational cost. The proposed RFs based GSA model offers higher robustness and accuracy in reducing RMSE by 55.4%, 67.4%, and MAE by 39.1% and 78.1% than conventional RFs and RBFNN based GSA model, respectively at 25°C.","PeriodicalId":337478,"journal":{"name":"2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"268 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122832676","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

Estimation of Solar Resource Potential in South Sudan Using Heliosat-4 Method 利用Heliosat-4方法估算南苏丹太阳能资源潜力

2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2018-10-01 DOI: 10.1109/APPEEC.2018.8566301

Aban Ayik, N. Ijumba, Charles Kabiri, P. Goffin

{"title":"Estimation of Solar Resource Potential in South Sudan Using Heliosat-4 Method","authors":"Aban Ayik, N. Ijumba, Charles Kabiri, P. Goffin","doi":"10.1109/APPEEC.2018.8566301","DOIUrl":"https://doi.org/10.1109/APPEEC.2018.8566301","url":null,"abstract":"South Sudan is experiencing serious shortage in electricity supply with only 1% of the population having access to grid electricity. The country has plenty of renewable energy resources which can possibly be exploited to generate electricity. In spite of the abundance in resources, renewable energy resources are not popular or commonly used in South Sudan. Solar energy has shown success in the domain of electric power generation. Light from the sun, or solar radiation, is the “fuel” which powers solar energy technologies. Therefore knowing the potential of solar radiation at a location, an exercise known as solar resource assessment (SRA), is very important for the selection, design and accurate economic analysis of solar energy technologies for power generation. The research work presented in this paper aims at investigating solar energy resource potential in South Sudan, to help identify potential sites for future solar power plants. Radiation data for 20 locations, covering the period from 2005 to 2018, are requested through Copernicus Atmospheric Monitoring Service Radiation (CAMS-RAD) Service user interface. CAMS-RAD Service uses Heliosat-4 method to calculate solar energy radiation at the earth's surface from Meteosat satellite images. Output data are evaluated and analyzed and annual daily average global (G) and direct (B) solar irradiation calculated for each of the 20 locations together with long term average monthly global irradiance. Results show that 99% of locations receive annual average global irradiation above 5.0 kWh/m2. The solar resource in South Sudan is considered favorable for the development of photovoltaic solar power plants. However, it might not be economically viable or only marginally so for concentrated solar systems.","PeriodicalId":337478,"journal":{"name":"2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122009312","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

Optimization of Multilayer Earth Structure by using Steepest Descent Method and Estimation of Transient Ground Potential Rise in Substation 用最陡下降法优化多层接地结构及变电站暂态地电位上升估算

2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2018-10-01 DOI: 10.1109/APPEEC.2018.8566442

R. Senthilkumar, K. Selvakumar, K. Nagaraian

引用次数: 3