将混合PVDG和DSVC设备最佳分配到配电网中,使用修改后的NRBO算法,考虑到超电流保护特性
Nasreddine Belbachir1, Mohamed Zellagui2, Haitham A Mahmoud3
1Department of Electrical Engineering, University of Mostaganem, 27000, Mostaganem, Algeria. nasreddine.belbachir.etu@univ-mosta.dz.
Scientific reports
|April 15, 2025
概括
一个经过修改的牛顿拉普森基于优化器 (mNRBO) 有效地确定了光伏分布式发电机 (PVDG) 和分布式静态Var补偿器 (DSVC) 在配电网中的最佳位置和尺寸,显著减少了功率损失.
科学领域:
- 电气工程 电气工程
- 电力系统分析 分析 分析
- 优化算法 优化算法
背景情况:
- 不足够的能源供应需要改进发电厂和系统配置.
- 光伏分布式发电机 (PVDG) 和分布式静态Var补偿器 (DSVC) 是现代电网的关键进展.
- 这些设备在电力配电网 (EDG) 中的最佳放置和尺寸是一个复杂的,新的挑战.
研究的目的:
- 在IEEE 33和69总线EDG系统中优化分配PVDG和DSVC设备.
- 通过引入修改版 (mNRBO) 来提高牛顿拉普森基于优化器 (NRBO) 的性能.
- 同时优化多个目标,包括主动功率损失,电压偏差和继电器协调.
主要方法:
- 实现一个修改后的牛顿拉普森基于优化器 (mNRBO) 算法.
- 将四个参数集成到NRBO中,以改善勘探和开发平衡.
- 开发和应用新的多目标函数 (MOF) 进行优化.
主要成果:
- 在测试的EDG系统中,mNRBO算法显著降低了主动功率损耗 (APL).
- 在IEEE 33总线系统中,APL从210.98 kW降至26.482 kW.
- 在IEEE 69总线系统中,APL从224.948 kW降至18.763 kW.
结论:
- 与基本NRBO和其他替代算法相比,mNRBO算法表现出优异的性能.
- 提出的方法有效地解决了与最佳设备配置相关的复杂电力系统挑战.
- 该研究验证了mNRBO在提高电力配电网的效率和稳定性方面的能力.
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