Optimization scheduling of combined cooling,heat and power microgrids using the improved northern goshawk optimization algorithm

CHEN Guang; LIU Pei; XU Da; LIU Ju; LIU Chuang

doi:10.3969/j.issn.1672-3643.2025.01.003

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Optimization scheduling of combined cooling,heat and power microgrids using the improved northern goshawk optimization algorithm

更新时间：2025-10-13

- Optimization scheduling of combined cooling,heat and power microgrids using the improved northern goshawk optimization algorithm
- Ningxia Electric Power Issue 1, (2025)
- 作者机构：
  
  1. 国网湖北省电力有限公司荆门供电公司,湖北,荆门,448000
  2. 中国地质大学,湖北,武汉,430074
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1672-3643.2025.01.003
  CLC：
- Published Online：15 April 2025，
  
  Published：2025
- 稿件说明：
移动端阅览
CHEN Guang, LIU Pei, XU Da, et al. Optimization scheduling of combined cooling,heat and power microgrids using the improved northern goshawk optimization algorithm[J]. Ningxia electric power, 2025, (1).
DOI：

CHEN Guang, LIU Pei, XU Da, et al. Optimization scheduling of combined cooling,heat and power microgrids using the improved northern goshawk optimization algorithm[J]. Ningxia electric power, 2025, (1). DOI： 10.3969/j.issn.1672-3643.2025.01.003.

摘要

为了实现冷热电联供（combined cooling

heat and power，CCHP）型微电网的经济运行，以综合成本最小为目标函数构建了CCHP型微电网优化调度模型。利用佳点集初始化和柯西高斯变异两种方法对北方苍鹰优化算法（northern goshawk optimization，NGO）进行改进，得到了寻优性能更强的改进北方苍鹰优化算法（improved northern goshawk optimization，INGO）。采用INGO算法对CCHP型微电网优化调度模型进行求解，算例分析结果表明，INGO算法求解的最小综合成本为10 835.94元，计算时间为7.75 s，在求解精度和计算时间方面优于其他对比算法。根据INGO算法获得的调度方案，系统内各设备出力合理，既保证了清洁能源的充分利用，也提高了CCHP型微电网运行经济性。

Abstract

An optimization scheduling model is designed to minimize overall costs for the efficient operation of combined cooling

heat and power (CCHP) microgrids.The northern goshawk optimization (NGO) algorithm is enhanced using two techniques:optimal point set initialization and Cauchy-Gaussian mutation.These adjustments augment the methods effectiveness

yielding the improved northern goshawk optimization (INGO) algorithm with stronger optimization performance.The INGO method is used to address the optimal scheduling model for the CCHP microgrid.The case study findings indicate that the INGO algorithm achieves a minimum comprehensive cost of 10

835.94 yuan

with a computation duration of 7.75 s.This performance surpasses that of other comparative algorithms regarding solution correctness and computational efficiency.The scheduling plan generated by the INGO algorithm produces satisfactory outputs from all system devices

guaranteeing optimal utilization of clean energy and improving the economic efficiency of the CCHP microgrid.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

基于改进斑点鬣狗算法的并网型微电网优化调度

基于变阶段逐步优化算法的阶梯水电站优化调度

园区综合能源系统优化调度研究与实践

含多种分布式电源的微电网经济调度

基于虚拟同步发电机的微电网控制策略研究

Related Author

李巧玲

鲁偎依

范成武

刘胜

黄荣泽

卢学良

杨帆

陈根军

Related Institution

国网湖北省电力有限公司黄石供电公司

国网湖北省电力有限公司随州供电公司

广西右江水利开发有限责任公司

百色新铝电力有限公司调度中心

南京南瑞继保电气有限公司

AI问答

⁰