Optimal Energy Management Strategy of an Improved Elevator With Energy Storage Capacity Based on Dynamic Programming

被引：47

作者：

Bilbao, Endika ^{[1
]}

Barrade, Philippe ^{[1
]}

Etxeberria-Otadui, Ion ^{[2
]}

Rufer, Alfred ^{[1
]}

Luri, Sergio ^{[2
]}

Gil, Inigo ^{[3
]}

机构：

[1] Ecole Polytech Fed Lausanne, STI IEL LEI, Ind Elect Lab, CH-1015 Lausanne, Switzerland

[2] IK4 IKERLAN Technol Res Ctr, Arrasate Mondragon 20500, Spain

[3] Elevator Innovat Ctr Orona EIC, Hernani 20120, Spain

来源：

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2014年 / 50卷 / 02期

关键词：

Dynamic programming (DP); elevators; energy management; energy storage; modeling; stochastic systems; supercapacitors; ELECTRIC VEHICLE; FUZZY-LOGIC; SYSTEM; CONVERTER;

D O I：

10.1109/TIA.2013.2276015

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Efficiency and energy consumption reduction are becoming a key issue in elevation applications. Energy Storage Systems (ESS) can play a significant role in this field, together with their associated Energy Management Strategy (EMS) to optimize the overall behavior of the elevator. This paper presents an EMS based on Dynamic Programming (DP) for a stochastic application where the cost function is based on the stock management theory. For that purpose, an implementation methodology for DP-based EMS is also proposed. That methodology has been applied on an elevator where the system modeling has been carried out. Due to the stochastic behavior of the application, a novel representation method is also presented (General Energy and Statistical Description). The EMS has been implemented and validated experimentally on a real elevator with energy storage capability reducing grid power peaks by 65% and braking resistor energy losses up to 84%.

引用

页码：1233 / 1244

页数：12

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