在不确定性和机会限制下,为绿色蜂无线网络采购最佳电力采购
Nadhir Ben Rached1, Shyam Mohan Subbiah Pillai2, Raúl Tempone2,3
1Department of Statistics, School of Mathematics, University of Leeds, Leeds LS2 9JT, UK.
Entropy (Basel, Switzerland)
|March 28, 2025
概括
本研究介绍了蜂网络的新方法,以优化能源采购,降低成本和碳排放,同时确保服务质量. 该方法有效地处理不可预测的可再生能源和网络需求.
科学领域:
- * 能源系统工程 * 能源系统工程
- * 无线通信 无线通信
- * 运营研究 运营研究
背景情况:
- *全球对可持续能源的需求不断增长,蜂网络的能源需求不断增加.
- * 管理使用不确定的可再生能源的混合能源系统和维持服务质量 (QoS) 的挑战.
- * 对于具有概率约束的随机最佳控制问题的传统动态编程的局限性.
研究的目的:
- *为蜂网络制定一个最佳的短期,连续的电力采购计划.
- * 尽量减少运营支出和碳足迹.
- * 确保满足服务质量 (QoS) 约束的可能性很高.
主要方法:
- * 介绍了一种新的连续时间拉格朗的放松方法.
- * 用一个高效的上风有限差异解法器来解决汉密尔顿-雅各比-贝尔曼方程.
- * 采用有限内存捆绑方法 (LMBM) 和随机子梯度方法 (SSM) 进行优化.
主要成果:
- * 拟议的数值方法的演示计算效率.
- * 在实际的时间框架内实现了近乎最佳的能源采购政策.
- *使用德国电力系统和蜂交通数据进行验证.
结论:
- * 拟议的拉格朗的放松方法有效地解决了与概率QoS约束的可处理性问题.
- * 数字解决方案为蜂网络中的实时能源采购提供了一种高效和实用的手段.
- * 该方法有助于实现电信领域的可持续能源管理.
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