使用非洲的优化算法解决柴油-风能-太阳能微电网的双目标经济-排放负载调度
Shilpa Mishra1, Abdul Gafoor Shaik2
1Department of Electrical Engineering, Indian Institute of Technology, Jodhpur, 342030, India.
Heliyon
|February 8, 2024
概括
非洲优化算法 (AVOA) 有效地解决了微电网的经济排放负载调度 (EELD) 问题. 这种方法大大降低了可再生能源的成本和排放.
科学领域:
- 电气工程 电气工程
- 优化技术 优化技术
- 可再生能源系统可再生能源系统
背景情况:
- 微电网需要可靠的电力,越来越多地整合可再生能源 (RES).
- 最佳的微电网尺寸包括平衡成本和排放,这是一个复杂的双目标优化问题 (经济-排放负载调度 - EELD).
- 超启发式方法通常用于解决EELD问题.
研究的目的:
- 探索微电网中EELD问题的先进的元启发方法.
- 为微电网EELD提出和应用非洲优化算法 (AVOA).
- 分析个别可再生能源对微电网成本和排放的影响.
主要方法:
- 非洲优化算法 (AVOA),灵感来自的行为,被使用.
- 在应用到印度杰萨尔梅尔的微电网之前,AVOA在标准测试系统上得到了验证,使用柴油,风能和太阳能来源.
- 使用统计测试 (ANOVA,Wilcoxon,强度,TukeyHSD) 来评估性能和优越性.
主要成果:
- 在解决微电网EELD问题方面,AVOA表现出卓越的性能.
- 与其他方法相比,实现了大幅降低成本 (5.25%) 和排放 (33.09%).
- 该研究分析了三种生成场景的可再生能源影响,使用可行性得分和绩效指数.
结论:
- 对于微电网EELD来说,AVOA非常有效,可以大幅降低成本和排放量.
- 算法的探索和利用特性有助于它的成功.
- AVOA为优化微电网电力系统提供了经过统计验证的优质解决方案.
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