陈亚鹏, 曲睿, 贾璐瑞, 周振宇, 杨伯青, 赵军愉. 面向区域能量调控的信息时效性保障与数据价值提升策略[J]. 中国电机工程学报, 2024, 44(7): 2545-2557. DOI: 10.13334/j.0258-8013.pcsee.222841
引用本文: 陈亚鹏, 曲睿, 贾璐瑞, 周振宇, 杨伯青, 赵军愉. 面向区域能量调控的信息时效性保障与数据价值提升策略[J]. 中国电机工程学报, 2024, 44(7): 2545-2557. DOI: 10.13334/j.0258-8013.pcsee.222841
CHEN Yapeng, QU Rui, JIA Lurui, ZHOU Zhenyu, YANG Boqing, ZHAO Junyu. Information Timeliness Guarantee and Data Value Promotion Strategy for Regional Energy Regulation[J]. Proceedings of the CSEE, 2024, 44(7): 2545-2557. DOI: 10.13334/j.0258-8013.pcsee.222841
Citation: CHEN Yapeng, QU Rui, JIA Lurui, ZHOU Zhenyu, YANG Boqing, ZHAO Junyu. Information Timeliness Guarantee and Data Value Promotion Strategy for Regional Energy Regulation[J]. Proceedings of the CSEE, 2024, 44(7): 2545-2557. DOI: 10.13334/j.0258-8013.pcsee.222841

面向区域能量调控的信息时效性保障与数据价值提升策略

Information Timeliness Guarantee and Data Value Promotion Strategy for Regional Energy Regulation

  • 摘要: 针对新型电力系统中区域能量调控业务的传输与处理问题,首先,介绍新型电力系统多流融合模型,以信息流的高效传输与价值流的及时释放促进能源流的有序配置。其次,建立电力通信耦合网络以及电力弹性光网络系统模型,并设置在保障信息时效性前提下最大化数据价值的优化问题。最后,提出可在线执行的信息时效性保障与数据价值提升策略,结合Lyapunov优化、匹配理论与交替方向乘子法算法,实现电力弹性光网络频谱资源与调控主站计算资源的联合优化配置。仿真结果表明,所提方法可在保障调控信息时效性的前提下,通过网络资源的优化配置提升调控业务数据价值。

     

    Abstract: Aiming at the transmission and processing of regional energy regulation information in the new power system, a new multi-stream integration model of new power system is first introduced, where the orderly allocation of energy flow is promoted through the efficient transmission of information flow and the timely release of value flow. Then, the system models of power communication coupling network and power elastic optical networks (EONs) are established. Also, the optimization problem of maximizing data value on the premise of ensuring business timeliness is set up. Finally, an online executable information timeliness guarantee and data value promotion strategy is proposed. Lyapunov optimization, matching theory and alternating direction method of multiplier are combined to achieve the joint optimal allocation of power EONs spectrum resources and control master station computing resources. Simulation results show that the proposed method can improve the value of regulation information through the optimal allocation of network resources on the premise of ensuring the information timeliness.

     

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