电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2012年
11期
30-37
,共8页
姚伟锋%赵俊华%文福拴%薛禹胜%辛建波
姚偉鋒%趙俊華%文福拴%薛禹勝%辛建波
요위봉%조준화%문복전%설우성%신건파
电动汽车%电动汽车入网%充放电优化%分层分区调度%双层优化
電動汽車%電動汽車入網%充放電優化%分層分區調度%雙層優化
전동기차%전동기차입망%충방전우화%분층분구조도%쌍층우화
electric vehicle%vehicle to grid (V2G)%charging and discharging optimization%hierarchical and zonal dispatching%hi-level optimization
大量电动汽车无序充放电会给电力系统的安全与经济运行带来严重的负面影响。为避免这一问题,引入了对电动汽车进行分层分区调度的理念,并构建了基于双层优化的可入网电动汽车充放电调度模型。在上层模型中,通过优化各电动汽车代理商在各时段的调度计划(包括充电负荷和放电出力),使系统在研究时间区间内总负荷水平的方差最小化,从而实现削峰填谷;在下层模型中,通过各电动汽车代理商对其所管辖电动汽车充放电时间的优化管理,以便与上层的调度计划尽可能一致。之后,采用AMPL/IPOPT和AMPL/CPLEX高效商业求解器对上下层问题分别进行迭代求解。最后,以包含5个电动汽车代理商的、修改的IEEE30节点测试系统为例,说明了所提出的模型与方法的基本特征。
大量電動汽車無序充放電會給電力繫統的安全與經濟運行帶來嚴重的負麵影響。為避免這一問題,引入瞭對電動汽車進行分層分區調度的理唸,併構建瞭基于雙層優化的可入網電動汽車充放電調度模型。在上層模型中,通過優化各電動汽車代理商在各時段的調度計劃(包括充電負荷和放電齣力),使繫統在研究時間區間內總負荷水平的方差最小化,從而實現削峰填穀;在下層模型中,通過各電動汽車代理商對其所管轄電動汽車充放電時間的優化管理,以便與上層的調度計劃儘可能一緻。之後,採用AMPL/IPOPT和AMPL/CPLEX高效商業求解器對上下層問題分彆進行迭代求解。最後,以包含5箇電動汽車代理商的、脩改的IEEE30節點測試繫統為例,說明瞭所提齣的模型與方法的基本特徵。
대량전동기차무서충방전회급전력계통적안전여경제운행대래엄중적부면영향。위피면저일문제,인입료대전동기차진행분층분구조도적이념,병구건료기우쌍층우화적가입망전동기차충방전조도모형。재상층모형중,통과우화각전동기차대리상재각시단적조도계화(포괄충전부하화방전출력),사계통재연구시간구간내총부하수평적방차최소화,종이실현삭봉전곡;재하층모형중,통과각전동기차대리상대기소관할전동기차충방전시간적우화관리,이편여상층적조도계화진가능일치。지후,채용AMPL/IPOPT화AMPL/CPLEX고효상업구해기대상하층문제분별진행질대구해。최후,이포함5개전동기차대리상적、수개적IEEE30절점측시계통위례,설명료소제출적모형여방법적기본특정。
The extensive integration of numerous plug-in electric vehicles (PEVs) into a power system could produce significant negative impacts on the secure and economic operation of the power system concerned, if the charging procedures of PEVs are uncoordinated. Given this, the hierarchical and zonal dispatching architecture is adopted and a new bi-level optimization model is presented for coordinating the charging/discharging schedules of the PEVs. The upper-level model is devoted to minimizing the system load variance so as to implement peak load shifting by dispatching each electric vehicle aggregator (EVA), and the lower one is aimed at tracing the dispatching scheme determined by the upper decision-maker through figuring out an appropriate charging and discharging schedules throughout a specified day. Two highly efficient commercial solvers, AMPL/ IPOPT and AMPL/CPLEX respectively, are employed to solve the developed optimization problem. Finally, a modified IEEE 30-bus system with 5 EVAs is employed to demonstrate the basic characteristics of develoned model and method.