TY  - JOUR
T1  - Nonconvex economic dispatch by integrated artificial intelligence.
JF  - IEEE Transactions on power systems
A1  - Whei-Min Lin
LA  - English
UL  - https://tuklas.up.edu.ph/Record/UP-99796217609565916
AB  - This paper presents a new algorithm by integrating evolutionary programming (EP), tabu search (TS) and quadratic programming (QP) methods to solve the nonconvex economic dispatch problem (NED). A hybrid EP and TS were used for quality control, and Fletcher's quadratic programming technique for solving. EP and TS determines the segment of a cost curve used, which is piecewise quadratic natured. Operation constraints are modeled as linear equality or inequality equations, resulting in a typical QP problem. Fletcher's QP was chosen to enhance the performance. The fitness function is constructed from priorities without penalty terms. Numerical results show that the proposed method is more effective than other previously developed evolutionary computation algorithms
KW  - Fletcher's quadratic programming technique.
KW  - Adaptive decay scale.
KW  - Cost curve.
KW  - Evolutionary programming.
KW  - Fitness function.
KW  - Genetic algorithm.
KW  - Integrated artificial intelligence.
KW  - Linear equality equations.
KW  - Linear inequality equations.
KW  - Mutation scale.
KW  - Nonconvex economic dispatch.
KW  - Operation constraints.
KW  - Piecewise quadratic.
KW  - Piecewise quadratic cost function.
KW  - Prohibited operating zones.
KW  - Quadratic programming.
KW  - Quality control.
KW  - Tabu search.
ER  -