多目的配电系统运行与需求响应,以优化太阳能托管能力,电压偏差指数和网络损失
Kabulo Loji1,2, Sachin Sharma3, Gulshan Sharma2
1Department of Electrical Power Engineering, Durban University of Technology, Durban, 4001, South Africa.
Scientific reports
|January 3, 2025
概括
需求响应显著提高了配电系统中的太阳能光伏托管能力. 这种优化最大限度地减少了网络损失,并保持了电压稳定性,展示了修改后的乌搜索优化算法的有效性.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 整合可再生能源的整合
背景情况:
- 太阳能光伏 (PV) 系统融入配电网络对于采用可再生能源至关重要.
- 评估太阳能光伏的托管能力对于电网稳定性和可靠的电力供应至关重要.
- 需求响应计划提供了一种灵活的方法来管理电力消耗,并支持电网集成.
研究的目的:
- 调查需求响应对分布系统中太阳能光伏容量的影响.
- 开发和介绍一个三目标优化模型,以最大限度地提高太阳能光伏托管能力,最大限度地减少网络损失,并保持电压偏差.
- 在各种案例研究中评估这些目标的同时和个别优化.
主要方法:
- 制定一个非线性,非形的多目标优化问题.
- 建议和应用修改的Crow搜索优化 (MCSO) 算法来解决复杂的问题.
- 审查不同的多目标案例研究,结合托管能力,网络损失和电压偏差,并纳入需求响应效应.
主要成果:
- MCSO算法实现了分布式发电的最佳集成,网络损耗最小 (0.0714兆瓦).
- 模拟显示,当所有目标同时优化时,太阳能光伏容量为3322.31千瓦,电压偏差为0.4982 p.u.,系统损失为1314.86千瓦时,需求响应.
- MCSO算法被证明优于其他已建立的优化技术.
结论:
- 需求响应在提高太阳能光伏托管能力,同时提高电网性能方面发挥着至关重要的作用.
- 拟议的三目标优化模型和MCSO算法有效地解决了高水平太阳能光伏集成的挑战.
- 该研究强调了智能电网应用的拟议研究的实际好处和有效性.
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