Title :
Large-scale economic dispatch by genetic algorithm
Author :
Chen, Po-Hung ; Chang, Hong-Chan
Author_Institution :
Dept. of Electron. Eng., Nat. Taiwan Inst. of Technol., Taipei, Taiwan
Abstract :
This paper presents a new genetic approach for solving the economic dispatch problem in large-scale power systems. A new encoding technique is developed. The chromosome contains only an encoding of the normalized system incremental cost in this encoding technique. Therefore, the total number of bits of chromosome is entirely independent of the number of units. The salient feature makes the proposed genetic approach attractive in large and complex systems which other methodologies may fail to achieve. Moreover, the approach can take network losses, ramp rate limits, and prohibited zone avoidance into account because of genetic algorithm´s flexibility. Numerical results on an actual utility system of up to 40 units show that the proposed approach is faster and more robust than the well-known lambda-iteration method in large-scale systems.
Keywords :
control system synthesis; economics; genetic algorithms; large-scale systems; load dispatching; optimal control; power system control; chromosome; control design; economic dispatch; electric utility; encoding technique; genetic algorithm; incremental cost; large-scale power systems; network losses; prohibited zone avoidance; ramp rate limits; Biological cells; Encoding; Genetic algorithms; Large-scale systems; Power engineering and energy; Power generation economics; Power system economics; Power system planning; Power system reliability; Robustness;
Journal_Title :
Power Systems, IEEE Transactions on