SZOA:一个改进的协同斑马优化算法用于微电网调度和管理
Lihong Cao1,2, Qi Wei3
1School of Management, Guangzhou College of Technology and Business, Guangzhou 510850, China.
Biomimetics (Basel, Switzerland)
|October 28, 2025
概括
一个新的协同斑马优化算法 (SZOA) 改进了微电网调度,以实现经济效率和低碳目标. 这种算法在模拟中表现优于其他算法,证明了可持续能源管理的实际好处.
科学领域:
- * 电气工程 电气工程
- * 优化算法 优化算法
- * 可持续的能源系统
背景情况:
- * 微电网调度面临着平衡经济成本和低碳目标的挑战.
- *传统的优化算法,如斑马优化算法 (ZOA),在复杂的场景中存在局限性.
研究的目的:
- * 提出一个协同斑马优化算法 (SZOA) 来改进微电网调度.
- *将SZOA与创新的管理理念相结合,以提高业绩.
- * 在复杂的经济和环境优化问题中解决传统算法的局限性.
主要方法:
- * 开发SZOA具有多种群的合作搜索,垂直交叉突变和领导引导的边界控制.
- *将SZOA应用于连接到电网的微电网的双目标优化模型.
- * 整合可再生能源 (PV,WT),可控能源 (FC,MT,GS),电池储能 (BT) 和主电网.
主要成果:
- * SZOA在基准数据集 (CEC2017,CEC2022) 上表现出优越的优化准确性和稳定性,与九个最先进的算法相比.
- *弗里德曼测试证实了SZOA的优越性,平均排名最高.
- *模拟显示,优化的微电网实现了显著降低运营成本和标准偏差,优于比较算法.
结论:
- * SZOA有效地平衡了微电网调度中的经济效率和低碳运行.
- * 它为创新的微电网管理提供了可靠和实用的技术解决方案.
- *该算法成功地协调了各种能源,以最大限度地降低成本和排放.
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