优化电力网络扩展与水储能,使用多目标增强的蜘蛛黄蜂优化器方法
Mohamed M Refaat1, Saad F Al-Gahtani2,3, Hussain Bassi4
1Photovoltaic Cells Department, Electronics Research Institute, Cairo, 11843, Egypt.
Scientific reports
|April 18, 2025
概括
整合水储能 (PHES) 提高了电网可靠性. 波恩维尔电力管理 (BPA) 技术在电力网络扩建计划 (PNEP) 中显著降低了成本,正如增强的蜘蛛黄蜂优化器 (ESWO) 所证明的那样.
科学领域:
- 电气工程 电气工程
- 能源系统工程 能源系统工程
- 优化理论 优化理论
背景情况:
- 电网可靠性和供需平衡需要能源存储的整合.
- 水储能 (PHES) 是电网稳定的关键技术.
- 电网扩建规划 (PNEP) 必须考虑新的储能解决方案.
研究的目的:
- 分析将各种PHES技术集成到PNEP的经济影响.
- 评估增强蜘蛛黄蜂优化器 (ESWO) 对于使用PHES的PNEP的有效性.
- 为了比较不同PHES技术 (EPRI,EIA,BPA,天湖) 在网络扩张中的表现.
主要方法:
- 开发了PNEP的多目标优化模型,最大限度地降低成本,最大限度地提高PHES的好处.
- 应用了增强的蜘蛛黄蜂优化器 (ESWO) 采用可变减小技术.
- 将PHES技术与可再生能源和传输组件在Garver和IEEE 24bus系统上的模拟集成.
主要成果:
- 波恩维尔电力管理局 (BPA) 的PHES技术显著帮助电力网络扩张.
- 在Garver网络中,BPA技术实现了1.23-24.84%的成本降低,在IEEE 24 路总线系统中,降低了3.37-5.56%.
- 该ESWO算法在解决能源存储的复杂PNEP问题方面表现出了高效率.
结论:
- 对于PNEP来说,PHES整合,特别是BPA技术,为PNEP带来了巨大的经济效益.
- ESWO是PNEP的有效优化工具,包括储能.
- 战略性整合PHES技术对于可靠和成本效益高的电网扩张至关重要.
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