中国科学技术大学学报
中國科學技術大學學報
중국과학기술대학학보
JOURNAL OF UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
2012年
6期
431-438
,共8页
插电式电动汽车%动态调度%充电管理%接入网%智能电网
插電式電動汽車%動態調度%充電管理%接入網%智能電網
삽전식전동기차%동태조도%충전관리%접입망%지능전망
plug-in electric vehicle%dynamic scheduling%charging management%access network%smart grid
随着智能电网的发展和插电式电动汽车市场占有率的提高,大量随机的电动汽车充电活动将导致极大的电网峰荷和峰均比,给智能电网的稳定性和发电利用率带来严重影响,电动汽车用户多样的充电需求也为充电管理提出了更高的要求,采用动态优先级调度的实时充电管理方法是解决以上问题的有效途径,首先引入了智能电网中接入网的网络结构,进而提出一种可实现实时管理的智能电表子表,并基于队列理论对电动汽车充电过程划分为3个步骤,基于以上划分提出每个步骤的实时管理方案.进一步地,采用松弛时间来反映不同紧急程度的充电请求,并基于此设计了动态优先级的充电调度方法.仿真结表明所提充电管理方案有利于降低电网峰荷、提高发电利用率,并有效改善了电动汽车在中、低市场占有率下的充电准点率.研究结果有助于对未来电动汽车的发展和部署提供决策支持.
隨著智能電網的髮展和插電式電動汽車市場佔有率的提高,大量隨機的電動汽車充電活動將導緻極大的電網峰荷和峰均比,給智能電網的穩定性和髮電利用率帶來嚴重影響,電動汽車用戶多樣的充電需求也為充電管理提齣瞭更高的要求,採用動態優先級調度的實時充電管理方法是解決以上問題的有效途徑,首先引入瞭智能電網中接入網的網絡結構,進而提齣一種可實現實時管理的智能電錶子錶,併基于隊列理論對電動汽車充電過程劃分為3箇步驟,基于以上劃分提齣每箇步驟的實時管理方案.進一步地,採用鬆弛時間來反映不同緊急程度的充電請求,併基于此設計瞭動態優先級的充電調度方法.倣真結錶明所提充電管理方案有利于降低電網峰荷、提高髮電利用率,併有效改善瞭電動汽車在中、低市場佔有率下的充電準點率.研究結果有助于對未來電動汽車的髮展和部署提供決策支持.
수착지능전망적발전화삽전식전동기차시장점유솔적제고,대량수궤적전동기차충전활동장도치겁대적전망봉하화봉균비,급지능전망적은정성화발전이용솔대래엄중영향,전동기차용호다양적충전수구야위충전관리제출료경고적요구,채용동태우선급조도적실시충전관리방법시해결이상문제적유효도경,수선인입료지능전망중접입망적망락결구,진이제출일충가실현실시관리적지능전표자표,병기우대렬이론대전동기차충전과정화분위3개보취,기우이상화분제출매개보취적실시관리방안.진일보지,채용송이시간래반영불동긴급정도적충전청구,병기우차설계료동태우선급적충전조도방법.방진결표명소제충전관리방안유리우강저전망봉하、제고발전이용솔,병유효개선료전동기차재중、저시장점유솔하적충전준점솔.연구결과유조우대미래전동기차적발전화부서제공결책지지.
Massive and random charging activities by increasing penetration of the plug-in electric vehicles (PEVs) shall bring significant electricity impact on the smart grid. The real-time charging management with dynamic-priority scheduling is the key to satisfying various charging requirements and help utilities optimize infrastructure utilization.An access network structure was introduced firstly,then a submeter for real-time management was proposed,followed by a three-process decomposition of the PEV charging activity using queuing theory was carried out.Based on the decomposition, the real-time management of each process was proposed.Furthermore,a dynamic-priority scheduling based on the PEV slack time for satisfying various charging requirements,and the time-sensitive PEVs can be served firstly.Simulation results show the proposed charging management performs efficiently on reducing the grid peak load,improving the utility utilization, and enhancing the on-time percentage in mid and low penetrations. Study findings will help support informed decision-making regarding PEV development and deployment in the near future.