Optimal scheduling of PHEVs in a PV based charging station

2016 International Conference on Emerging Technologies (ICET) Pub Date : 1900-01-01 DOI:10.1109/ICET.2016.7813271

T. Kamal, Mithulananthan Nadarajah, S. Z. Hassan, Hui Li, Faizan Mehmood, Izhar Hussain, Barış Cevher

{"title":"Optimal scheduling of PHEVs in a PV based charging station","authors":"T. Kamal, Mithulananthan Nadarajah, S. Z. Hassan, Hui Li, Faizan Mehmood, Izhar Hussain, Barış Cevher","doi":"10.1109/ICET.2016.7813271","DOIUrl":null,"url":null,"abstract":"Applications of PHEV have been observed as popular in transportation sector, but, an uncoordinated charging of PHEV poses an extra load during peak times which brings up many technical problems in which durability of power system occurs first. Considering PHEV to stay for several hours in the parking lot may offer a unique opportunity to charge PHEV from photovoltaic power in those hours. The proposed charging facility is working under smart charging scheduling paradigm, which is independent from forecasting models of PHEVs charging. The proposed paradigm schedules of PHEV is in an optimal way based on two parameters i.e., priority levels of PHEVs charging, and variations in DC link voltage level. Furthermore, the priorities of PHEV charging are based on their power demand, maximum rating of distribution transformer and stay duration of PHEVs in the parking lot during high irradiation of solar effect. The sensing of proposed paradigm is based on change in DC link voltage. The DC link voltage changes due to variance in solar irradiance, temperature and real-time residential load. Such priorities are updated whenever smart charging scheduling paradigm detects changes in voltage and initiate/terminate PHEVs charging. Simulation results express the effectiveness of proposed charging station effectively.","PeriodicalId":285090,"journal":{"name":"2016 International Conference on Emerging Technologies (ICET)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Emerging Technologies (ICET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICET.2016.7813271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 8

Abstract

Applications of PHEV have been observed as popular in transportation sector, but, an uncoordinated charging of PHEV poses an extra load during peak times which brings up many technical problems in which durability of power system occurs first. Considering PHEV to stay for several hours in the parking lot may offer a unique opportunity to charge PHEV from photovoltaic power in those hours. The proposed charging facility is working under smart charging scheduling paradigm, which is independent from forecasting models of PHEVs charging. The proposed paradigm schedules of PHEV is in an optimal way based on two parameters i.e., priority levels of PHEVs charging, and variations in DC link voltage level. Furthermore, the priorities of PHEV charging are based on their power demand, maximum rating of distribution transformer and stay duration of PHEVs in the parking lot during high irradiation of solar effect. The sensing of proposed paradigm is based on change in DC link voltage. The DC link voltage changes due to variance in solar irradiance, temperature and real-time residential load. Such priorities are updated whenever smart charging scheduling paradigm detects changes in voltage and initiate/terminate PHEVs charging. Simulation results express the effectiveness of proposed charging station effectively.

查看原文本刊更多论文

光伏充电站插电式混合动力汽车的优化调度

插电式混合动力汽车在交通运输领域的应用越来越广泛，但由于插电式混合动力汽车充电不协调，在用电高峰时段产生了额外的负荷，从而带来了许多技术问题，其中电力系统的耐久性是第一位的。考虑到PHEV在停车场停留几个小时可能会提供一个独特的机会，在这些时间里用光伏发电为PHEV充电。该充电设施采用独立于插电式混合动力汽车充电预测模型的智能充电调度模式。基于插电式混合动力汽车充电优先级和直流链路电压水平变化两个参数，提出的插电式混合动力汽车范式调度方案是最优的。根据插电式混合动力汽车的功率需求、配电变压器的最大额定值和太阳效应强照射时插电式混合动力汽车在停车场的停留时间确定充电的优先级。所提出的模式的感知是基于直流链路电压的变化。直流链路电压随太阳辐照度、温度和实时住宅负荷的变化而变化。每当智能充电调度模式检测到电压变化并启动/终止phev充电时，这些优先级都会更新。仿真结果有效地表明了所设计充电站的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2016 International Conference on Emerging Technologies (ICET)

自引率

0.00%

发文量