基于一致性原理和ADMM的微电网群分层协调优化

兰州理工大学学报 ›› 2026, Vol. 52 ›› Issue (3): 72-80.

• 自动化技术与计算机技术 • 上一篇下一篇

基于一致性原理和ADMM的微电网群分层协调优化

王晓兰^*1,2, 管亚豪¹, 宫玮丽^1,2

1.兰州理工大学自动化与电气工程学院, 甘肃兰州 730050;
2.兰州理工大学电气与控制工程国家级实验教学示范中心, 甘肃兰州 730050

收稿日期:2024-06-12 出版日期:2026-06-28 发布日期:2026-06-30
通讯作者: 王晓兰(1963-),女,甘肃天水人,教授,博导.Email:wangzt@lut.edu.cn
基金资助:
国家自然科学基金(61963024)

Hierarchical coordination optimization of microgrid group based on the consistency principle and ADMM

WANG Xiao-lan^1,2, GUAN Ya-hao¹, GONG Wei-li^1,2

1. School of Automation and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China;
2. National Experimental Teaching Demonstration Center for Electrical and Control Engineering, Lanzhou University of Technology, Lanzhou 730050, China

Received:2024-06-12 Online:2026-06-28 Published:2026-06-30

摘要/Abstract

摘要： 针对微电网群中多个微电网之间的能量互济,以及解决微电网内部的风、光消纳和功率不平衡的问题,提出了一致性原理与交替方向乘子法(ADMM)结合对微电网群进行分层协调优化的方法.在微电网内部,考虑到风光发电及负荷的不确定性,采用高斯回归对风、光及负荷进行预测,通过优化电网购电功率,柴油机发电和储能充放电功率,响应风光发电和负荷用电引起的功率波动.在微电网之间,通过一致性算法获取相邻微电网的期望交互功率信息并计算平均值,ADMM根据一致性算法提供的全局信息,对各微电网间的交互功率进行分布式优化,得到各微电网间交互功率的最优分配.通过算例分析得出,所提优化算法与传统ADMM相比,收敛速度更快.在实现微电网最低成本运行的同时,通过微电网间的功率交互,使微电网群的总运行成本最低.

关键词: 微电网群, 交替方向乘子法, 一致性算法, 交互功率

Abstract: In order to solve the problem of wind and solar power consumption and power imbalance in the microgrid, a method of hierarchical coordination and optimization of the microgrid group combined with ADMM was proposed. In the microgrid, considering the uncertainties of wind and solar power generation and load, Gaussian regression is used to predict wind, solar, and load. The power fluctuation caused by wind and solar power generation and load consumption is accommodated by optimizing the purchase power, diesel engine power generation, and energy storage charge and discharge power of the grid. Among microgrids, the consensus algorithm is employed to exchange expected interconnection power information between neighboring microgrids and compute their average values. According to the global information provided by the consensus algorithm, ADMM optimizes the distributed power of each microgrid to obtain the optimal distribution of the interactive power between the microgrids. Case studies demonstrate that the proposed optimization algorithm has a faster convergence speed than the traditional ADMM. While realizing the lowest cost operation of microgrids, the total operating cost of microgrid clusters is the lowest through the power interaction between microgrids.

Key words: microgrid clusters, alternating direction multiplier method, consensus algorithms, interaction power

中图分类号:

TM73

王晓兰, 管亚豪, 宫玮丽. 基于一致性原理和ADMM的微电网群分层协调优化[J]. 兰州理工大学学报, 2026, 52(3): 72-80.

WANG Xiao-lan, GUAN Ya-hao, GONG Wei-li. Hierarchical coordination optimization of microgrid group based on the consistency principle and ADMM[J]. Journal of Lanzhou University of Technology, 2026, 52(3): 72-80.

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链接本文: https://journal.lut.edu.cn/CN/

https://journal.lut.edu.cn/CN/Y2026/V52/I3/72

参考文献

[1] ROSERO D G,SANABRIA E,EÍAZ N L,et al.Full-deployed energy management system tested in a microgrid cluster[J].Applied Energy,2023,334:120674.
[2] 陈曦,付文龙,张海荣,等.考虑新能源发电不确定性的含微电网群共享储能优化调度[J].电网技术,2024,48(1):219-236.
[3] 赵波,秦如雯.微电网群体系架构及能量协同优化运行的SoS方法初探[J].中国电机工程学报,2020,40(6):1886-1897.
[4] 支娜,肖曦,田培根,等.微网群控制技术研究现状与展望[J].电力自动化设备,2016,36(4):107-115.
[5] 桑博,张涛,刘亚杰,等.多微电网能量管理系统研究综述[J].中国电机工程学报,2020,40(10):3077-3093.
[6] GUAN Y,WEI B,GUERRERO J M,et al.An overview of the operation architectures and energy management system for multiple microgrid clusters[J].iEnergy,2022,1(3):306-314.
[7] 焦建芳,王安杰,王光,等.考虑储能寿命和通信故障的微电网群优化调度[J].系统仿真学报,2024,36(2):352-362.
[8] 张志文,李华强.考虑灵活性的孤岛微电网群分层能量管理策略[J].电力系统保护与控制,2020,48(20):97-105.
[9] BUSTOS R,MARÍN L G,NAVAS-FONSECA A,et al.Hierarchical energy management system for multi-microgrid coordination with demand-side management[J].Applied Energy,2023,342:121145.
[10] NAWAZ A,ZHOU M,WU J,et al.A comprehensive review on energy management,demand response,and coordination schemes utilization in multi-microgrids network[J].Applied Energy,2022,323:119596.
[11] 赵波,张后谊,汪湘晋,等.体系架构下考虑虚假信息注入的微电网群分布式优化调度[J].电力系统自动化,2023,47(8):169-178.
[12] 杨家豪.基于一致性算法的孤岛型微电网群实时协同功率分配[J].电力系统自动化,2017,41(5):8-15.
[13] 张步云,王晋宁,梁定康,等.采用一致性算法的自治微电网群分布式储能优化控制策略[J].电网技术,2020,44(5):1705-1713.
[14] 刘鑫蕊,张明超,王睿,等.基于一致性算法的城市微网群分层协同控制[J].电力系统自动化,2022,46(17):65-73.
[15] 李志浩,倪筹帷,陈哲,等.考虑信息交互的微电网群分布式经济调度方法[J].浙江电力,2023,42(10):8-16.
[16] 王皓,艾芊,吴俊宏,等.基于交替方向乘子法的微电网群双层分布式调度方法[J].电网技术,2018,42(6):1718-1727.
[17] 吴成辉,林声宏,夏成军,等.基于模型预测控制的微电网群分布式优化调度[J].电网技术,2020,44(2):530-538.
[18] XU Q,XU Y,XU Z,et al.A hierarchically coordinated operation and control scheme for DC microgrid clusters under uncertainty[J].IEEE Transactions on Sustainable Energy,2021,12(1):273-283.
[19] 王灿,张雪菲,凌凯,等.基于区间概率不确定集的微电网两阶段自适应鲁棒优化调度[J].中国电机工程学报,2024,44(5):1750-1764.
[20] 王晓兰,曲利民,张晓英,等.基于一致性算法的孤岛微电网协同控制[J].兰州理工大学学报,2016,42(5):77-83.
[21] 米阳,彭建伟,陈博洋,等.基于一致性原理和梯度下降法的微电网完全分布式优化调度[J].电力系统保护与控制,2022,50(15):1-11.
[22] BARCO-JIMÉNEZ J,OBANDO G,CHAMORRO H R,et al.In-line distributed dispatch of active and reactive power based on ADMM and consensus considering battery degradation in microgrids[J].IEEE Access,2023,11:31479-31495.
[23] KAFASH FARKHAD M,AKBARI FOROUD A.Accelerated hybrid consensus alternating direction method of multipliers for distributed economic power dispatch problem with adaptive penalty[J].Iranian Journal of Science and Technology,Transactions of Electrical Engineering,2022,46(1):41-56.
[24] BISWAS B D,HASAN M S,KAMALASADAN S.Decentralized distributed convex optimal power flow model for power distribution system based on alternating direction method of multipliers[J].IEEE Transactions on Industry Applications,2023,59(1):627-640.

基于一致性原理和ADMM的微电网群分层协调优化

Hierarchical coordination optimization of microgrid group based on the consistency principle and ADMM

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