TY - JOUR
T1 - A demonstration of the improved efficiency of the canonical coordinates method using nonlinear combined heat and power economic dispatch problems
AU - Chang, Hung Chieh
AU - Lin, Pei Chun
N1 - Funding Information:
This research was supported by a grant from the National Science Council of the Republic of China in Taiwan under grants NSC 96-2415-H-006-008 held by both authors, and under grants NSC 101-2221-E-006-215-MY2 held by the second author.
PY - 2014/2/1
Y1 - 2014/2/1
N2 - Economic dispatch is the short-term determination of the optimal output from a number of electricity generation facilities to meet the system load while providing power. As such, it represents one of the main optimization problems in the operation of electrical power systems. This article presents techniques to substantially improve the efficiency of the canonical coordinates method (CCM) algorithm when applied to nonlinear combined heat and power economic dispatch (CHPED) problems. The improvement is to eliminate the need to solve a system of nonlinear differential equations, which appears in the line search process in the CCM algorithm. The modified algorithm was tested and the analytical solution was verified using nonlinear CHPED optimization problems, thereby demonstrating the effectiveness of the algorithm. The CCM methods proved numerically stable and, in the case of nonlinear programs, produced solutions with unprecedented accuracy within a reasonable time.
AB - Economic dispatch is the short-term determination of the optimal output from a number of electricity generation facilities to meet the system load while providing power. As such, it represents one of the main optimization problems in the operation of electrical power systems. This article presents techniques to substantially improve the efficiency of the canonical coordinates method (CCM) algorithm when applied to nonlinear combined heat and power economic dispatch (CHPED) problems. The improvement is to eliminate the need to solve a system of nonlinear differential equations, which appears in the line search process in the CCM algorithm. The modified algorithm was tested and the analytical solution was verified using nonlinear CHPED optimization problems, thereby demonstrating the effectiveness of the algorithm. The CCM methods proved numerically stable and, in the case of nonlinear programs, produced solutions with unprecedented accuracy within a reasonable time.
UR - http://www.scopus.com/inward/record.url?scp=84889854609&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84889854609&partnerID=8YFLogxK
U2 - 10.1080/0305215X.2013.765002
DO - 10.1080/0305215X.2013.765002
M3 - Article
AN - SCOPUS:84889854609
SN - 0305-215X
VL - 46
SP - 261
EP - 269
JO - Engineering Optimization
JF - Engineering Optimization
IS - 2
ER -