Decentralized Coordinated Distributionally Robust Optimal Scheduling of Multi-area Interconnected Electricity-Gas Coupling System

Yachao ZHANG; Shiwei XIE; Shu ZHU

doi:10.7500/AEPS20211228005

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Decentralized Coordinated Distributionally Robust Optimal Scheduling of Multi-area Interconnected Electricity-Gas Coupling System

Basic Research | 更新时间：2025-06-16

- Decentralized Coordinated Distributionally Robust Optimal Scheduling of Multi-area Interconnected Electricity-Gas Coupling System
- Automation of Electric Power Systems Vol. 46, Issue 19, Pages: 31-42(2022)
- 作者机构：
  
  1.福州大学电气工程与自动化学院,福建省福州市 350108
  2.国网湖南省电力有限公司调度控制中心,湖南省长沙市 410004
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(61903088)
- DOI：10.7500/AEPS20211228005
  CLC：
- Received：28 December 2021，
  
  Revised：2022-02-08，
  
  Published Online：23 June 2022，
  
  Published：10 October 2022
- 稿件说明：
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张亚超,谢仕炜,朱蜀.多区域互联电-气耦合系统分散协调分布鲁棒优化调度[J].电力系统自动化,2022,46(19):31-42.

ZHANG Yachao,XIE Shiwei,ZHU Shu.Decentralized Coordinated Distributionally Robust Optimal Scheduling of Multi-area Interconnected Electricity-Gas Coupling System[J].Automation of Electric Power Systems,2022,46(19):31-42.
张亚超,谢仕炜,朱蜀.多区域互联电-气耦合系统分散协调分布鲁棒优化调度[J].电力系统自动化,2022,46(19):31-42. DOI： 10.7500/AEPS20211228005.

ZHANG Yachao,XIE Shiwei,ZHU Shu.Decentralized Coordinated Distributionally Robust Optimal Scheduling of Multi-area Interconnected Electricity-Gas Coupling System[J].Automation of Electric Power Systems,2022,46(19):31-42. DOI： 10.7500/AEPS20211228005.

摘要

电力、天然气等异质能流的深度耦合和互补协调，使得面向可再生能源消纳的多区域互联电-气耦合系统成为未来能源互联网发展的重要方向。在此背景下，综合考虑风电出力、燃气机组耗气量及配电网间联络线交互能流等多重不确定因素，提出基于多主体自治决策的多区域综合能源系统分散协调优化调度框架。首先，针对配电网，建立基于风电出力模糊集的分布鲁棒优化调度模型，并结合对偶理论和线性决策规则将该半无限优化问题转化为线性规划问题。其次，建立天然气网的二阶锥规划模型，并根据燃气机组耗气量不确定集检验其在配电网中备用配置的可行性。然后，分析多区域互联系统中能量流的解耦机制，采用一种基于平行正则化的交替方向乘子法对多区域电-气耦合系统分散协调调度模型进行求解。最后，通过算例验证了所提模型及求解方法的有效性和实用性。

Abstract

The deep coupling and complementary coordination of heterogeneous energy flows such as electricity and natural gas hare made the multi-area interconnected electricity-gas coupling system for renewable energy consumption become an essential direction for the development of Energy Internet in the future. In this context

comprehensively considering the multiple uncertain factors such as wind power output

gas consumption of gas-fired units and the interaction energy flow through tie-lines between distribution networks

a decentralized coordinated optimal scheduling framework based on the multi-agent autonomous decision for the multi-area integrated energy system is proposed. Firstly

a distributionally robust optimal scheduling model based on the ambiguity set of wind power output is established for the distribution network. Combined with duality theory and linear decision rules

the above semi-infinite optimization problem is transformed into a linear programming problem. Secondly

the second-order cone programming model for gas network is built

and according to the uncertain set of gas consumption for gas-fired units

the feasibility of its reserve configuration in the distribution network is tested. Then

the decoupling mechanism of energy flows in multi-area interconnected system is analyzed and an alternative direction method of multipliers based on parallel regularization is developed to solve the decentralized coordinated scheduling model for multi-area electricity-gas coupling system. Finally

the case results demonstrate the effectiveness and practicability of the proposed model and solution method.

关键词

Keywords

references

陈瑜玮，孙宏斌，郭庆来 . 综合能源系统分析的统一能路理论（五）：电-热-气耦合系统优化调度［J］. 中国电机工程学报， 2020 ， 40 （ 24 ）： 7928 - 7937 .

CHEN Yuwei ， SUN Hongbin ， GUO Qinglai . Energy circuit theory of integrated energy system analysis（Ⅴ）： integrated electricity-heat-gas dispatch ［J］. Proceedings of the CSEE ， 2020 ， 40 （ 24 ）： 7928 - 7937 .

丁煜蓉，陈红坤，吴军，等 . 计及综合能效的电-气-热综合能源系统多目标优化调度［J］. 电力系统自动化， 2021 ， 45 （ 2 ）： 64 - 73 .

DING Yurong ， CHEN Hongkun ， WU Jun ， et al . Multi-objective optimal dispatch of electricity-gas-heat integrated energy system considering comprehensive energy efficiency ［J］. Automation of Electric Power Systems ， 2021 ， 45 （ 2 ）： 64 - 73 .

ZHANG Y C ， LIU Y ， SHU S W ， et al . A data-driven distributionally robust optimization model for multi-energy coupled system considering the temporal-spatial correlation and distribution uncertainty of renewable energy sources ［J］. Energy ， 2021 ， 216 ： 119171 .

BAI L Q ， LI F X ， CUI H T ， et al . Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty ［J］. Applied Energy ， 2016 ， 167 ： 270 - 279 .

LI Y ， ZOU Y ， TAN Y ， et al . Optimal stochastic operation of integrated low-carbon electric power， natural gas， and heat delivery system ［J］. IEEE Transactions on Sustainable Energy ， 2018 ， 9 （ 1 ）： 273 - 283 .

ZHANG M L ， WU Q W ， WEN J Y ， et al . Optimal operation of integrated electricity and heat system： a review of modeling and solution methods ［J］. Renewable and Sustainable Energy Reviews ， 2021 ， 135 ： 110098 .

HE C ， LIU T Q ， WU L ， et al . Robust coordination of interdependent electricity and natural gas systems in day-ahead scheduling for facilitating volatile renewable generations via power-to-gas technology ［J］. Journal of Modern Power Systems and Clean Energy ， 2017 ， 5 （ 3 ）： 375 - 388 .

ZHANG Y C ， LE J ， ZHENG F ， et al . Two-stage distributionally robust coordinated scheduling for gas-electricity integrated energy system considering wind power uncertainty and reserve capacity configuration ［J］. Renewable Energy ， 2019 ， 135 ： 122 - 135 .

税月，刘俊勇，高红均，等 . 考虑风电不确定性的电气能源系统两阶段分布鲁棒协同调度［J］. 电力系统自动化， 2018 ， 42 （ 13 ）： 43 - 50 .

SHUI Yue ， LIU Junyong ， GAO Hongjun ， et al . Two-stage distributed robust cooperative dispatch for integrated electricity and natural gas energy systems considering uncertainty of wind power ［J］. Automation of Electric Power Systems ， 2018 ， 42 （ 13 ）： 43 - 50 .

张勇，李晨，贾楠，等 . 基于改进二阶锥松弛的多区域电-气综合能源系统优化调度快速求解方法［J］. 电力自动化设备， 2020 ， 40 （ 7 ）： 39 - 45 .

ZHANG Yong ， LI Chen ， JIA Nan ， et al . Fast solution method for optimal dispatching of multi-area integrated electricity-gas systems based on improved second-order cone relaxation ［J］. Electric Power Automation Equipment ， 2020 ， 40 （ 7 ）： 39 - 45 .

李昊飞，瞿凯平，余涛 . 低碳动态电-气最优能流的加速凸分散优化求解［J］. 电力系统自动化， 2019 ， 43 （ 12 ）： 85 - 93 .

LI Haofei ， QU Kaiping ， YU Tao . Optimization method of accelerated convex decentralization for low-carbon dynamic optimal gas-power flow ［J］. Automation of Electric Power Systems ， 2019 ， 43 （ 12 ）： 85 - 93 .

郭尊，李庚银，周明，等 . 面向风电消纳的电-气联合系统分散协调鲁棒优化调度模型［J］. 中国电机工程学报， 2020 ， 40 （ 20 ）： 6442 - 6455 .

GUO Zun ， LI Gengyin ， ZHOU Ming ， et al . A decentralized and robust optimal scheduling model of integrated electricity-gas system for wind power accommodation ［J］. Proceedings of the CSEE ， 2020 ， 40 （ 20 ）： 6442 - 6455 .

武梦景，万灿，宋永华，等 . 含多能微网群的区域电热综合能源系统分层自治优化调度［J］. 电力系统自动化， 2021 ， 45 （ 12 ）： 20 - 29 .

WU Mengjing ， WAN Can ， SONG Yonghua ， et al . Hierarchical autonomous optimal dispatching of district integrated heating and power system with multi-energy microgrids ［J］. Automation of Electric Power Systems ， 2021 ， 45 （ 12 ）： 20 - 29 .

DING T ， YANG Q R ， WEN Y ， et al . Zonally robust decentralized optimization for global energy interconnection： case study on northeast Asian countries ［J］. IEEE Transactions on Automation Science and Engineering ， 2020 ， 17 （ 4 ）： 2120 - 2129 .

LI P ， YANG M ， YU Y X ， et al . Decentralized distributionally robust coordinated dispatch of multiarea power systems considering voltage security ［J］. IEEE Transactions on Industry Applications ， 2021 ， 57 （ 4 ）： 3441 - 3450 .

QI F ， SHAHIDEHPOUR M ， WEN F S ， et al . Decentralized privacy-preserving operation of multi-area integrated electricity and natural gas systems with renewable energy resources ［J］. IEEE Transactions on Sustainable Energy ， 2020 ， 11 （ 3 ）： 1785 - 1796 .

HE Y B ， YAN M Y ， SHAHIDEHPOUR M ， et al . Decentralized optimization of multi-area electricity-natural gas flows based on cone reformulation ［J］. IEEE Transactions on Power Systems ， 2018 ， 33 （ 4 ）： 4531 - 4542 .

GAN W ， YAN M Y ， YAO W ， et al . Decentralized computation method for robust operation of multi-area joint regional-district integrated energy systems with uncertain wind power ［J］. Applied Energy ， 2021 ， 298 ： 117280 .

CHEN C ， WANG J H ， QIU F ， et al . Resilient distribution system by microgrids formation after natural disasters ［J］. IEEE Transactions on Smart Grid ， 2016 ， 7 （ 2 ）： 958 - 966 .

罗毅，邵周策，张磊，等 . 考虑风电不确定性和气网运行约束的鲁棒经济调度和备用配置［J］. 电工技术学报， 2018 ， 33 （ 11 ）： 2456 - 2467 .

LUO Yi ， SHAO Zhouce ， ZHANG Lei ， et al . Robust economic dispatch and reserve configuration considering wind uncertainty and gas network constraints ［J］. Transactions of China Electrotechnical Society ， 2018 ， 33 （ 11 ）： 2456 - 2467 .

XIONG P ， JIRUTITIJAROEN P ， SINGH C . A distributionally robust optimization model for unit commitment considering uncertain wind power generation ［J］. IEEE Transactions on Power Systems ， 2017 ， 32 （ 1 ）： 39 - 49 .

CHEN X ， SIM M ， SUN P ， et al . A linear decision-based approximation approach to stochastic programming ［J］. Operations Research ， 2008 ， 56 （ 2 ）： 344 - 357 .

NING C ， YOU F Q . A data-driven multistage adaptive robust optimization framework for planning and scheduling under uncertainty ［J］. American Institute of Chemical Engineers Journal ， 2017 ， 63 （ 10 ）： 4343 - 4369 .

CHEN S ， CONEJO A J ， SIOSHANSI R ， et al . Unit commitment with an enhanced natural gas-flow model ［J］. IEEE Transactions on Power Systems ， 2019 ， 34 （ 5 ）： 3729 - 3738 .

何炳生 . 修正乘子交替方向法求解三个可分离算子的凸优化［J］. 运筹学学报， 2015 ， 19 （ 3 ）： 57 - 70 .

HE Bingsheng . Modified alternating directions method of multipliers for convex optimization with three separable functions ［J］. Operations Research Transactions ， 2015 ， 19 （ 3 ）： 57 - 70 .

BOYD S . Distributed optimization and statistical learning via the alternating direction method of multipliers ［J］. Foundations and Trends in Machine Learning ， 2010 ， 3 （ 1 ）： 1 - 122 .

张亚超，郑峰，舒胜文，等 . 考虑多重不确定性的电-气-交通网络耦合系统数据驱动鲁棒优化调度［J］. 中国电机工程学报， 2021 ， 41 （ 13 ）： 4450 - 4462 .

ZHANG Yachao ， ZHENG Feng ， SHU Shengwen ， et al . A data-driven robust optimization scheduling of coupled electricity-gas-transportation systems considering multiple uncertainties ［J］. Proceedings of the CSEE ， 2021 ， 41 （ 13 ）： 4450 - 4462 .

GAN L W ， LI N ， TOPCU U ， et al . Exact convex relaxation of optimal power flow in radial networks ［J］. IEEE Transactions on Automatic Control ， 2015 ， 60 （ 1 ）： 72 - 87 .

张津珲，王旭，蒋传文，等 . 计及交通流量不确定性的多网耦合综合能源系统优化调度方法［J］. 电网技术， 2019 ， 43 （ 9 ）： 3081 - 3093 .

ZHANG Jinhui ， WANG Xu ， JIANG Chuanwen ， et al . Optimal scheduling method of multi-network regional integrated energy system based on traffic flow uncertainty ［J］. Power System Technology ， 2019 ， 43 （ 9 ）： 3081 - 3093 .

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