|
|||||
|
|
Advanced in power control for distributed generation system using cooperative algorithms |
|
| Authors: | WANG Ai-hua DI Jian-xiong CHEN Yao-bin |
| Affiliation: | 1. Dept. of Electrical and Computer Engineering, Purdue University at Indianapolis, 723 West Michigan Street, Indianapolis, IN 46202, USA;Dept. of Electrical and Automation Engineering, Nanjing Institute of Industry Technology, Nanjing 210046, China 2. Dept. of Electrical and Automation Engineering, Nanjing Institute of Industry Technology, Nanjing 210046, China 3. Dept. of Electrical and Computer Engineering, Purdue University at Indianapolis, 723 West Michigan Street, Indianapolis, IN 46202, USA |
| Abstract: | To develop efficient power control strategies for a distributed generation system in order to improve the overall system efficiency, we propose a cooperative algorithm to analyze and design the controller, in which elements of conventional mathematical optimization algorithms are combined with adaptive dynamic elements drawn from intelligent control theory. In our design, the sequential quadratic programming algorithm was first u-tilized to obtain an optimal solution for power distribution among multiple units. Fuzzy system was then devel-oped to implement the optimal strategies on the basis of optimal solution. In addition, parameters of the fuzzy system were adapted via a genetic algorithm. The simulation results illustrate that the methodology described is useful for a range of control system designs. |
| Keywords: | distributed generation power control optimization fuzzy logic genetic algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |