Hybrid DE-SQP Method for Solving Combined Heat and Power Dynamic Economic Dispatch Problem

被引：11

作者：

Elaiw, A. M. ^{[1
,2
]}

Xia, X. ^{[3
]}

Shehata, A. M. ^{[2
]}

机构：

[1] King Abdulaziz Univ, Fac Sci, Dept Math, Jeddah 21589, Saudi Arabia

[2] Al Azhar Univ, Fac Sci, Dept Math, Assiut 71511, Egypt

[3] Univ Pretoria, Ctr New Energy Syst, Dept Elect Elect & Comp Engn, ZA-0002 Pretoria, South Africa

来源：

MATHEMATICAL PROBLEMS IN ENGINEERING | 2013年 / 2013卷

关键词：

MODEL-PREDICTIVE CONTROL; ALGORITHM; OPTIMIZATION;

D O I：

10.1155/2013/982305

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Combined heat and power dynamic economic dispatch (CHPDED) plays a key role in economic operation of power systems. CHPDED determines the optimal heat and power schedule of committed generating units by minimizing the fuel cost under ramp rate constraints and other constraints. Due to complex characteristics, heuristic and evolutionary based optimization approaches have became effective tools to solve the CHPDED problem. This paper proposes hybrid differential evolution (DE) and sequential quadratic programming (SQP) to solve the CHPDED problem with nonsmooth and nonconvex cost function due to valve point effects. DE is used as a global optimizer and SQP is used as a fine tuning to determine the optimal solution at the final. The proposed hybrid DE-SQP method has been tested and compared to demonstrate its effectiveness.

引用

页数：7

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