Day-ahead Interactive Operation Method for Distribution Network and 5G Base Stations Based on Inter-station Migration of Communication Load

LIU Hong; WANG Zhijie; XU Zhengyang; YANG Baijie; LI Junkai; ZHANG Shida

doi:10.7500/AEPS20240202004

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Day-ahead Interactive Operation Method for Distribution Network and 5G Base Stations Based on Inter-station Migration of Communication Load

Basic Research | 更新时间：2025-06-16

- Day-ahead Interactive Operation Method for Distribution Network and 5G Base Stations Based on Inter-station Migration of Communication Load
- Automation of Electric Power Systems Vol. 48, Issue 21, Pages: 82-91(2024)
- 作者机构：
  
  1.智能电网教育部重点实验室（天津大学），天津市 300072
  2.天津大学佐治亚理工深圳学院，广东省深圳市 518055
- 作者简介：
- 基金信息：
- DOI：10.7500/AEPS20240202004
  CLC：
- Received：02 February 2024，
  
  Revised：2024-05-25，
  
  Published Online：28 August 2024，
  
  Published：10 November 2024
- 稿件说明：
移动端阅览
刘洪,王志杰,徐正阳等.基于通信负载站间迁移的配电网与5G基站日前互动运行方法[J].电力系统自动化,2024,48(21):82-91.

LIU Hong,WANG Zhijie,XU Zhengyang,et al.Day-ahead Interactive Operation Method for Distribution Network and 5G Base Stations Based on Inter-station Migration of Communication Load[J].Automation of Electric Power Systems,2024,48(21):82-91.
刘洪,王志杰,徐正阳等.基于通信负载站间迁移的配电网与5G基站日前互动运行方法[J].电力系统自动化,2024,48(21):82-91. DOI： 10.7500/AEPS20240202004.

LIU Hong,WANG Zhijie,XU Zhengyang,et al.Day-ahead Interactive Operation Method for Distribution Network and 5G Base Stations Based on Inter-station Migration of Communication Load[J].Automation of Electric Power Systems,2024,48(21):82-91. DOI： 10.7500/AEPS20240202004.

摘要

当前

将5G基站作为灵活性资源参与电网互动的研究多关注于5G基站储能资源的利用，忽视了5G基站通信负载的调节潜力。为此，提出了一种基于通信负载站间迁移的配电网运营商(DNO)与移动网络运

营商(MNO)日前互动运行方法。首先，构建了DNO-MNO双层互动运行优化模型，其中，DNO是综合考虑系统网损成本与5G基站激励成本的激励策略，并以系统

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安全运行准则为约束，以系统总运行成本最低为目标；MNO综合考虑5G基站功耗成本与电网需求响应收益，并以5G基站净运行成本最低为目标制定5G基站功率运行方案。其次，针对下层MNO 5G基站调度模型存在非凸、非线性约束难以解析求解的问题，提出了一种基于可行域迭代的算法以实现对模型的精确求解。再次，提出了基于精英遗传算法的DNO内嵌MNO双层互动模型求解算法。最后，通过算例验证了文中所提方法的有效性和实用性。

Abstract

Current research on 5G base stations as flexibility resources to participate in power grid interaction mostly focuses on the utilization of energy storage resources of 5G base stations

ignoring the regulatory potential of 5G base station communication load. Therefore

a day-ahead interactive operation method for distribution network operator (DNO) and mobile network operator (MNO) based on inter-station migration of communication load is proposed. Firstly

a DNO-MNO dual-layer interactive operation optimization model is constructed. In this model

DNO is an incentive strategy that comprehensively considers the system network loss cost and the incentive cost of the 5G base station

and takes the

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safe operation criterion of the system as a constraint and the lowest total system operating cost as an objective. MNO comprehensively considers the power consumption cost of the 5G base station and the grid demand response benefits

and develops the 5G base station power operation plan with the objective of the lowest net operating cost of the 5G base station. Secondly

to solve the problem that the lower-level MNO 5G base station scheduling model has non-convex and nonlinear constraints which are difficult to solve analytically

an algorithm based on feasible domain iteration is proposed to solve the model accurately. Thirdly

the algorithm of DNO-embedded MNO dual-layer interactive model based on the elitist selection genetic algorithm is proposed. Finally

a numerical case is given to verify the effectiveness and practicability of the proposed method.

关键词

Keywords

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