Distributed Optimal Scheduling for Transmission-Distribution-Natural-Gas System Based on Alternating Direction Method of Multipliers

Peng LAN; Xiaodong SHEN; Gang WU; Junyong LIU; Houxiang ZHAO; Hujun WANG

doi:10.7500/AEPS20210519010

您当前的位置：

首页 >

文章列表页 >

Distributed Optimal Scheduling for Transmission-Distribution-Natural-Gas System Based on Alternating Direction Method of Multipliers

Basic Research | 更新时间：2025-06-16

- Distributed Optimal Scheduling for Transmission-Distribution-Natural-Gas System Based on Alternating Direction Method of Multipliers
- Automation of Electric Power Systems Vol. 45, Issue 23, Pages: 21-30(2021)
- 作者机构：
  
  1.四川大学电气工程学院，四川省成都市 610065
  2.国网四川省电力公司经济技术研究院，四川省成都市 610041
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(U2066209);China Southern Power Grid Co,. Ltd(060400KK52190017)
- DOI：10.7500/AEPS20210519010
  CLC：
- Received：19 May 2021，
  
  Revised：2021-08-04，
  
  Published Online：20 October 2021，
  
  Published：10 December 2021
- 稿件说明：
移动端阅览
兰鹏,沈晓东,吴刚等.基于交替方向乘子法的输-配-天然气系统分布式优化调度[J].电力系统自动化,2021,45(23):21-30.

LAN Peng,SHEN Xiaodong,WU Gang,et al.Distributed Optimal Scheduling for Transmission-Distribution-Natural-Gas System Based on Alternating Direction Method of Multipliers[J].Automation of Electric Power Systems,2021,45(23):21-30.
兰鹏,沈晓东,吴刚等.基于交替方向乘子法的输-配-天然气系统分布式优化调度[J].电力系统自动化,2021,45(23):21-30. DOI： 10.7500/AEPS20210519010.

LAN Peng,SHEN Xiaodong,WU Gang,et al.Distributed Optimal Scheduling for Transmission-Distribution-Natural-Gas System Based on Alternating Direction Method of Multipliers[J].Automation of Electric Power Systems,2021,45(23):21-30. DOI： 10.7500/AEPS20210519010.

摘要

随着电力网络与天然气网络耦合程度的加深以及传统配电网向主动配电网的转变，传统输配电气分离下的优化调度无法充分利用各种资源的灵活控制能力，不能获得整体最优解。因此，考虑电气耦合下的输配气协同优化，提出一种输-配-天然气系统优化调度模型。此外，考虑到未来输电系统运营中心、配电系统运营中心与天然气系统运营中心之间的独立性，为了保护各运营中心的信息隐私，提出了一个基于交替方向乘子法的分布式求解框架求解所提模型。为了确保分布式求解算法的收敛性，利用二阶锥松弛方法将气网优化问题转化为凸优化问题。算例结果表明，考虑电气耦合的输配气协同优化能够充分利用主动配电网中的多能耦合资源和储能资源，促进可再生能源消纳，提升系统总体运行经济性。此外，所提分布式求解算法的精确性和收敛性也得到了验证。

Abstract

With the deepening of the coupling between the power grid and the natural gas network

and the transformation from the traditional distribution network to the active distribution network

the optimal scheduling with the traditional separated transmission and distribution of electricity and natural gas can not make full use of the flexible control ability of various resources

and can not obtain the overall optimal solution. Therefore

considering the coordinated optimization of transmission

distribution and natural gas networks under the coupling of electricity and natural gas

an optimal scheduling model of transmission-distribution-natural-gas system is proposed. In addition

considering the independence between the transmission system operator (TSO)

distribution system operator (DSO) and natural gas system operator (NGSO) in the future

a distributed solution framework based on the alternating direction method of multipliers is proposed to solve the proposed model

so as to protect the privacy of each operator. In order to ensure the convergence of the distributed solving algorithm

the second-order cone relaxation method is utilized to transform the optimization problem of natural gas network into a convex optimization problem. The case results show that the coordinated optimization of transmission

distribution and natural gas networks under the coupling of electricity and natural gas can make full use of the multi-energy coupling resources and energy storage resources in the active distribution network

promote the accommodation of the renewable energy

and improve the overall operation economy of the system. Besides

the accuracy and convergence of the proposed distributed solving algorithm are also verified.

关键词

Keywords

references

李傲伟，柳璐，程浩忠，等 . 高比例可再生能源接入下考虑输配协同的输电网规划测试系统［J/OL］. 电力系统自动化［ 2021-05-18 ］. http：//kns.cnki.net/kcms/detail/32.1180.TP.20210203.1052.004.html http://kns.cnki.net/kcms/detail/32.1180.TP.20210203.1052.004.html .

LI Aowei ， LIU Lu ， CHENG Haozhong ， et al . Transmission expansion planning test system considering transmission and distribution coordination with integration of high proportion of renewable energy ［J/OL］. Automation of Electric Power Systems ［ 2021-05-18 ］. http：//kns.cnki.net/kcms/detail/32.1180.TP.20210203.1052.004.html http://kns.cnki.net/kcms/detail/32.1180.TP.20210203.1052.004.html .

张艺镨，艾小猛，方家琨，等 . 基于极限场景的两阶段含分布式电源的配网无功优化［J］. 电工技术学报， 2018 ， 33 （ 2 ）： 380 - 389 .

ZHANG Yipu ， AI Xiaomeng ， FANG Jiakun ， et al . Two-stage reactive power optimization for distribution network with distributed generation based on extreme scenarios ［J］. Transactions of China Electrotechnical Society ， 2018 ， 33 （ 2 ）： 380 - 389 .

黄伟，熊伟鹏，华亮亮，等 . 基于动态调度优先级的主动配电网多目标优化调度［J］. 电工技术学报， 2018 ， 33 （ 15 ）： 3486 - 3498 .

HUANG Wei ， XIONG Weipeng ， HUA Liangliang ， et al . Multi-objective optimization dispatch of active distribution network based on dynamic schedule priority ［J］. Transactions of China Electrotechnical Society ， 2018 ， 33 （ 15 ）： 3486 - 3498 .

余佳音，唐坤杰，章杜锡，等 . 输配网一体化建模与分析方法研究综述［J］. 浙江电力， 2019 ， 38 （ 11 ）： 1 - 9 .

YU Jiayin ， TANG Kunjie ， ZHANG Duxi ， et al . Overview of modeling and analysis methods for integrated transmission and distribution network ［J］. Zhejiang Electric Power ， 2019 ， 38 （ 11 ）： 1 - 9 .

郑宗强，韩冰，闪鑫，等 . 输配电网高级应用协同运行关键技术分析［J］. 电力系统自动化， 2017 ， 41 （ 6 ）： 122 - 128 .

ZHENG Zongqiang ， HAN Bing ， SHAN Xin ， et al . Analysis on key technologies for coordinated operation of advanced application software in transmission and distribution network ［J］. Automation of Electric Power Systems ， 2017 ， 41 （ 6 ）： 122 - 128 .

牛林华，龚庆武，黄炳翔，等 . 大规模风电入网下的风气火电力系统联合优化调度［J］. 电力自动化设备， 2015 ， 35 （ 11 ）： 52 - 58 .

NIU Linhua ， GONG Qingwu ， HUANG Bingxiang ， et al . Optimal dispatch of wind-gas-coal power generation system with large-scale wind farm ［J］. Electric Power Automation Equipment ， 2015 ， 35 （ 11 ）： 52 - 58 .

胡俊杰，刘雪涛，王程 . 考虑网络约束的能量枢纽灵活性价值评估［J/OL］. 中国电机工程学报［ 2021-08-03 ］. https：//doi.org/10.13334/j.0258-8013.pcsee.202528 https://doi.org/10.13334/j.0258-8013.pcsee.202528 .

HU Junjie ， LIU Xuetao ， WANG Cheng . Value evaluation of energy hub flexibility considering network constraints ［J/OL］. Proceedings of the CSEE ［ 2021-08-03 ］. https：//doi.org/10.13334/j.0258-8013.pcsee.202528 https://doi.org/10.13334/j.0258-8013.pcsee.202528 .

LIN C H ， WU W C ， CHEN X ， et al . Decentralized dynamic economic dispatch for integrated transmission and active distribution networks using multi-parametric programming ［J］. IEEE Transactions on Smart Grid ， 2018 ， 9 （ 5 ）： 4983 - 4993 .

武玉倩 . 考虑输配关联的协同调度研究［D］. 济南：山东大学， 2020 .

WU Yuqian . Synergistic dispatch studies considering transmission and distribution correlation ［D］. Jinan ： Shandong University ， 2020 .

YU J ， LI Z S ， GUO Y ， et al . Decentralized chance-constrained economic dispatch for integrated transmission-district energy systems ［J］. IEEE Transactions on Smart Grid ， 2019 ， 10 （ 6 ）： 6724 - 6734 .

朱泽磊，罗治强，程鑫，等 . 基于电网模型等值的省地协同发电计划优化方法［J］. 中国电机工程学报， 2017 ， 37 （ 15 ）： 4333 - 4343 .

ZHU Zelei ， LUO Zhiqiang ， CHENG Xin ， et al . Collaborative scheduling optimization method for provincial grid and regional grid based on grid model equivalence ［J］. Proceedings of the CSEE ， 2017 ， 37 （ 15 ）： 4333 - 4343 .

LI Z S ， GUO Q L ， SUN H B ， et al . Coordinated transmission and distribution AC optimal power flow ［J］. IEEE Transactions on Smart Grid ， 2018 ， 9 （ 2 ）： 1228 - 1240 .

孙毓婕 . 计及静态电压安全约束的分布式输配协同无功优化方法研究［D］. 济南：山东大学， 2019 .

SUN Yujie . Research on distributed reactive power optimization method for the integrated power transmission and distribution systems considering static voltage security constraints ［D］. Jinan ： Shandong University ， 2019 .

赵晋泉，张振伟，姚建国，等 . 基于广义主从分裂的输配电网一体化分布式无功优化方法［J］. 电力系统自动化， 2019 ， 43 （ 3 ）： 108 - 115 .

ZHAO Jinquan ， ZHANG Zhenwei ， YAO Jianguo ， et al . Heterogeneous decomposition based distributed reactive power optimization method for global transmission and distribution network ［J］. Automation of Electric Power Systems ， 2019 ， 43 （ 3 ）： 108 - 115 .

张旭，王洪涛 . 高比例可再生能源电力系统的输配协同优化调度方法［J］. 电力系统自动化， 2019 ， 43 （ 3 ）： 67 - 75 .

ZHANG Xu ， WANG Hongtao . Optimal dispatch method of transmission and distribution coordination for power systems with high proportion of renewable energy ［J］. Automation of Electric Power Systems ， 2019 ， 43 （ 3 ）： 67 - 75 .

LI Z S ， GUO Q L ， SUN H B ， et al . Coordinated economic dispatch of coupled transmission and distribution systems using heterogeneous decomposition ［J］. IEEE Transactions on Power Systems ， 2016 ， 31 （ 6 ）： 4817 - 4830 .

LI P ， WU Q W ， YANG M ， et al . Distributed distributionally robust dispatch for integrated transmission-distribution systems ［J］. IEEE Transactions on Power Systems ， 2021 ， 36 （ 2 ）： 1193 - 1205 .

ROOFEGARI NEJAD R ， SUN W ， GOLSHANI A . Distributed restoration for integrated transmission and distribution systems with DERs ［J］. IEEE Transactions on Power Systems ， 2019 ， 34 （ 6 ）： 4964 - 4973 .

张彦，张涛，刘亚杰，等 . 基于随机模型预测控制的能源局域网优化调度研究［J］. 中国电机工程学报， 2016 ， 36 （ 13 ）： 3451 - 3462 .

ZHANG Yan ， ZHANG Tao ， LIU Yajie ， et al . Stochastic model predictive control for energy management optimization of an energy local network ［J］. Proceedings of the CSEE ， 2016 ， 36 （ 13 ）： 3451 - 3462 .

KARGARIAN A ， FU Y . System of systems based security-constrained unit commitment incorporating active distribution grids ［J］. IEEE Transactions on Power Systems ， 2014 ， 29 （ 5 ）： 2489 - 2498 .

CHEN Z ， LI Z S ， GUO C X ， et al . Fully distributed robust reserve scheduling for coupled transmission and distribution systems ［J］. IEEE Transactions on Power Systems ， 2021 ， 36 （ 1 ）： 169 - 182 .

LI Z G ， SHAHIDEHPOUR M ， WU W C ， et al . Decentralized multiarea robust generation unit and tie-line scheduling under wind power uncertainty ［J］. IEEE Transactions on Sustainable Energy ， 2015 ， 6 （ 4 ）： 1377 - 1388 .

HE C ， WU L ， LIU T Q ， et al . Robust co-optimization scheduling of electricity and natural gas systems via ADMM ［J］. IEEE Transactions on Sustainable Energy ， 2017 ， 8 （ 2 ）： 658 - 670 .

ALABDULWAHAB A ， ABUSORRAH A ， ZHANG X P ， et al . Coordination of interdependent natural gas and electricity infrastructures for firming the variability of wind energy in stochastic day-ahead scheduling ［J］. IEEE Transactions on Sustainable Energy ， 2015 ， 6 （ 2 ）： 606 - 615 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Hierarchical and Classified Aggregation Method with Embedded Regulation Targets for Regulation Capability of Distributed Energy Resources

Distributed Active-Reactive Power Coordinated Optimization for Electricity-Gas Distribution Network Considering Asynchronous Communication

Related Author

LIN Yujie

XIONG Houbo

LIN Yumian

SHI Haojie

SUN Fengzhou

GUO Chuangxin

YANG Yilong

FAN Shuai

Related Institution

College of Electrical Engineering, Zhejiang University

Electric Power Research Institute, Fujian Electric Power Ltd. Company

Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University)

Shanghai Non-carbon Energy Conversion and Utilization Institute

State Grid Shanghai Jiading Electric Power Company

⁰