现代电子技术2025，Vol.48Issue(6)：127-135,9.DOI:10.16652/j.issn.1004-373x.2025.06.020
基于改进雪雁算法的热电联产系统经济调度优化
CHP system ED optimization based on improved snow geese algorithm
邱志勇 1莫愿斌2
作者信息
- 1. 广西民族大学 人工智能学院,广西 南宁 530006
- 2. 广西民族大学 人工智能学院,广西 南宁 530006||广西混杂计算与集成电路设计分析重点实验室,广西 南宁 530006
- 折叠
摘要
Abstract
Combined heat and power(CHP)technology is widely used in modern power system because of its advantages of economy,low emission and high efficiency in energy utilization.The economic dispatch(ED)optimization of CHP is researched,the CHP model considering factors such as valve point load effects and ramp rate limitations of the unit is built,and the thermoelectric decoupling transformation of CHP unit is also carried out.In order to solve the problems of many invalid iterations,low convergence accuracy or even non-convergence of numerical algorithms in this model,an adaptive Brownian motion snow geese algorithm with velocity constraints is proposed.By constrains the velocity and regularly adjusts the Brownian motion amplitude in the snow goose algorithm,the effective iterations are increased and the convergence accuracy is improved.In this model,the improved snow Goose algorithm is compared with the original snow Goose algorithm and other algorithms.The results show that the improved snow Goose algorithm can achieve better results in the optimization test,and can reduce the cost more than other algorithms.关键词
雪雁算法/热电联产/经济调度优化/自适应布朗运动/速度约束/热电解耦Key words
snow geese algorithm/combined heat and power/economic dispatch optimization/adaptive Brownian motion/speed constraint/thermoelectric decoupling分类
电子信息工程引用本文复制引用
邱志勇,莫愿斌..基于改进雪雁算法的热电联产系统经济调度优化[J].现代电子技术,2025,48(6):127-135,9.
