基于积极配电网络中改进的e-constraint方法,为有序的电力利用做出多目标的最佳决策.
Xin Wen1, Hui Li1, Xiaoqiang Wu1
1Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangzhou, China.
PloS one
|October 24, 2024
概括
这项研究优化了中国的电力使用情况.
科学领域:
- 电气工程 电气工程
- 运营研究 运营研究
- 优化理论 优化理论
背景情况:
- 中国不断增长的电力需求需要高效的电力管理.
- 高峰期的电力短缺需要有效的负载管理策略.
- 主动配电网络 (ADN) 对现代电力系统至关重要.
研究的目的:
- 开发一个多目标优化模型,以便在ADN中有序地利用电力.
- 为了最大限度地降低总运营成本,用户成本和系统负载波动.
- 为了解决复杂的优化模型的计算挑战.
主要方法:
- 制定了一个具有整数变量和非线性约束的多目标优化模型.
- 应用凸放松来将模型转换为混合整数二次形编程 (MISOCP) 问题.
- 提出了一种改进的e-constraint方法,与简单的搜索算法相结合,以有效地找到解决方案.
主要成果:
- 与原始模型相比,MISOCP模型显著降低了计算复杂性.
- 改进的e-constraint方法有效地确定了妥协的最佳解决方案.
- 简单的搜索算法避免了详尽的网格点穿越,减少了计算时间.
- 关于IEEE-33总线网络的案例研究验证了拟议方法的有效性.
结论:
- 建议的优化方法有效地平衡了降低成本和ADN的负载稳定性.
- 凸放松和改进的e-constraint方法为复杂的电力系统优化提供了计算效率高的解决方案.
- 该方法提供了一种实际的工具,用于在需求高峰期管理电力短缺.
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