Use of model predictive control for experimental microgrid optimization

被引：166

作者：

Parisio, Alessandra ^{[1
,2
]}

Rikos, Evangelos ^{[3
]}

Tzamalis, George ^{[4
]}

Glielmo, Luigi ^{[5
]}

机构：

[1] KTH Royal Inst Technol, ACCESS Linnaeus Ctr, Stockholm, Sweden

[2] KTH Royal Inst Technol, Sch Elect Engn, Automat Control Lab, Stockholm, Sweden

[3] Ctr Renewable Energy Sources & Saving CRES, Dept PVs & DERs Syst, Athens, Greece

[4] Ctr Renewable Energy Sources & Saving CRES, Dept RES & Hydrogen Technol, Athens, Greece

[5] Univ Sannio, Dept Engn, Benevento, Italy

来源：

APPLIED ENERGY | 2014年 / 115卷

关键词：

Model predictive control; Microgrids; Optimization; Mixed Integer Linear Programming; ENERGY MANAGEMENT-SYSTEM; DISTRIBUTED GENERATION; UNIT COMMITMENT; SMART; DISPATCH; CONSTRAINTS; ALGORITHM; OPERATION; MARKETS; HEAT;

D O I：

10.1016/j.apenergy.2013.10.027

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper we deal with the problem of efficiently optimizing microgrid operations while satisfying a time-varying request and operation constraints. Microgrids are subsystems of the distribution grid comprising sufficient generating resources to operate in isolation from the main grid, in a deliberate and controlled way. The Model Predictive Control (MPC) approach is applied for achieving economic efficiency in microgrid operation management. The method is thus applied to an experimental microgrid located in Athens, Greece: experimental results show the feasibility and the effectiveness of the proposed approach. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：37 / 46

页数：10

共 51 条

[1]

[Anonymous], CPLEX 12 0 US MAN

[2]

[Anonymous], STRATEGIC DEPLOYMENT

[3] Microgrids: Planning of fuel energy management by strategic deployment of CHP-based DERs - An evolutionary algorithm approach [J].

Basu, Ashoke Kumar .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 44 (01) :326-336

[4] Control of systems integrating logic, dynamics, and constraints [J].

Bemporad, A ;

Morari, M .

AUTOMATICA, 1999, 35 (03) :407-427

[5]

Bemporad A., 2007, ADV PROC CONTR APPL

[6]

Bidram A, 2012, IEEE T SMART GRID, VPP, P1

[7] A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem [J].

Carrion, Miguel ;

Arroyo, Jose M. .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2006, 21 (03) :1371-1378

[8] Smart energy management system for optimal microgrid economic operation [J].

Chen, C. ;

Duan, S. ;

Cai, T. ;

Liu, B. ;

Hu, G. .

IET RENEWABLE POWER GENERATION, 2011, 5 (03) :258-267

[9] Economic analysis and optimal energy management models for microgrid systems: A case study in Taiwan [J].

Chen, Yen-Haw ;

Lu, Su-Ying ;

Chang, Yung-Ruei ;

Lee, Ta-Tung ;

Hu, Ming-Che .

APPLIED ENERGY, 2013, 103 :145-154

[10]

Colson C.M., 2011, 18 IFAC WORLD C MIL

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