摘要： 隨著輸配電網(wǎng)的快速發(fā)展，輸配電業(yè)務對時延、能效、可靠性等差異化通信指標提出了更高的的要求。為此，基于5G高速率大連接和衛(wèi)星靈活廣覆蓋的特點，結(jié)合邊緣計算高效處理數(shù)據(jù)的優(yōu)勢，構(gòu)建了面向輸配電場景的5G衛(wèi)星融合組網(wǎng)架構(gòu)。然后以最大化輸配電業(yè)務數(shù)據(jù)傳輸平均能效與總時延的加權(quán)差為優(yōu)化目標，構(gòu)建了5G衛(wèi)星融合組網(wǎng)數(shù)據(jù)卸載優(yōu)化問題，并提出基于差異化業(yè)務需求感知的5G衛(wèi)星融合組網(wǎng)數(shù)據(jù)卸載算法(Differentiated Service Requirement-aware Learning-based Data Offloading algorithm for 5G satellite integrated networking，DSRL-DO)求解。仿真結(jié)果表明，所提算法能夠降低數(shù)據(jù)卸載時延的同時保證較高的能效，有效滿足輸配電業(yè)務的差異化需求。
中圖分類號： TN92 文獻標識碼： A DOI：10.16157/j.issn.0258-7998.223282 中文引用格式： 段鈞寶，朱思成，李秉毅，等. 輸配電5G衛(wèi)星融合組網(wǎng)數(shù)據(jù)卸載方法[J].電子技術(shù)應用，2022，48(12)：15-21，27. 英文引用格式： Duan Junbao，Zhu Sicheng，Li Bingyi，et al. 5G satellite integrated networking data offloading method for transmission and distribution grid[J]. Application of Electronic Technique，2022，48(12)：15-21，27.
5G satellite integrated networking data offloading method for transmission and distribution grid
1.China Electric Power Research Institute，Beijing 100192，China； 2.State Grid Chongqing Electric Power Company，Chongqing 400010，China； 3.School of Electric and Electronic Engineering，North China Electric Power University，Beijing 102206，China
Abstract： With the rapid development of power transmission and distribution grid, power transmission and distribution services have put forward higher requirements for differentiated communication metrics such as delay, energy efficiency, and reliability. Based on the characteristics of high speed and large connectivity of 5G and flexible and wide coverage of satellite, combined with the advantages of efficient data processing of edge computing, a 5G satellite integrated networking architecture for power transmission and distribution scenarios is constructed. Then，with the optimization goal of maximizing the weighted difference between the average energy efficiency and the total delay of data offloading in the transmission and distribution services, an optimization problem of data offloading in 5G satellite integrated networking is constructed. A differentiated service requirement-aware learning-based data offloading algorithm(DSRL-DO) for 5G satellite integrated networking is proposed to solve the problem. Finally, the simulation results show that the proposed algorithm can reduce the data offloading delay while ensuring high energy efficiency, and effectively meet the differentiated requirements of power transmission and distribution services.
Key words : transmission and distribution power grid；5G satellite integrated networking；edge computing；data offloading；differentiated service requirement awareness
0 引言
隨著新型電力系統(tǒng)建設以及輸配電網(wǎng)快速發(fā)展，輸電線路巡檢、配電自動化、精準負荷、分布式能源接入等[1]輸配電業(yè)務對通信網(wǎng)絡的數(shù)據(jù)傳輸與實時分析能力提出了更高的要求。5G衛(wèi)星融合網(wǎng)絡通過結(jié)合5G與衛(wèi)星各自的優(yōu)勢，支撐輸配電業(yè)務對時延、能效、可靠性的差異化需求。一方面，5G有著高速率、大連接等優(yōu)點[2]，支持輸配電業(yè)務數(shù)據(jù)實時傳輸。衛(wèi)星覆蓋范圍大、網(wǎng)絡資源豐富、抗毀性強[3-4]，可以與5G互補，為5G基站建設薄弱地區(qū)提供通信覆蓋；另一方面，5G衛(wèi)星融合網(wǎng)絡可以與邊緣計算進一步結(jié)合，將計算和存儲資源下沉到輸配電業(yè)務現(xiàn)場，實現(xiàn)時延敏感型數(shù)據(jù)處理的快速響應[5-6]。然而，輸配電業(yè)務差異化服務質(zhì)量(Quality of Serivce，QoS)需求之間存在耦合[7-8]，例如，通過改變數(shù)據(jù)卸載流向優(yōu)化傳輸時延和能效，將影響邊緣服務器與云服務器的負載，導致部分重負載邊緣服務器數(shù)據(jù)計算時延增加[9]。此外，由于輸配電場景網(wǎng)絡環(huán)境復雜[10-11]，信道質(zhì)量、電磁干擾、服務器負載等網(wǎng)絡狀態(tài)的實時信息難以獲取。因此，如何根據(jù)動態(tài)、未知的網(wǎng)絡狀態(tài)信息來實現(xiàn)5G衛(wèi)星融合網(wǎng)絡數(shù)據(jù)卸載的優(yōu)化[12]，保障輸配電業(yè)務的差異化QoS需求，已成為研究重點。
