Multi-Objective Distributed Optimal Dispatch of Active Distribution Network Based on Alternating Direction Method of Multipliers

doi:10.3969/j.issn.1000－7229.2017.04.006

Abstract

Abstract: ABSTRACT： Active distribution network optimal dispatch is an effective means to realize the coordinated and efficient use of distributed energy. This paper proposes an distributed multi-objective optimal dispatch method for active distribution network based on the alternating direction method of multipliers （ADMM） aiming at the problem that the traditional centralized optimal dispatch is facing, such as complicated calculation, large amount of information transmission and single target caused by the gradual increase of the distributed energy penetration rate. Firstly, we establish a distributed multi-objective optimal dispatch model involving distributed generators, flexible loads and energy storage system, and use ADMM to compute in parallel by alternating iterations between adjacent partitions, to reduce the computational complexity. Besides, each district can scientifically and independently determine its own optimal objectives according to the actual situation and the need of optimization, which can improve the flexibility of the optimization target selection compared with the widely adopted method with unified optimal objectives in each district. And only a small amount of information is exchanged between adjacent partitions, reducing the information transmission amount. Finally, through the calculation of simulation example, the feasibility and efficiency of the proposed method are verified．

Key words: active distribution network, alternating direction method of multipliers（ADMM）, distributed, multi-objective

CLC Number:

TM 734

DONG Lei, GONG Chengyao, CHEN Naishi, PU Tianjiao. Multi-Objective Distributed Optimal Dispatch of Active Distribution Network Based on Alternating Direction Method of Multipliers

[J]. Electric Power Construction, 2017, 38(4): 41-.

References

［1］〖JP3〗蒲天骄，刘克文，李烨，等.基于多代理系统的主动配电网自治协同控制及其仿真［J］.中国电机工程学报，2015，35（8）：1864-1874.

PU Tianjiao， LIU Kewen，LI Ye，et al.Multi-agent system based simulation verification for autonomy-cooperative optimization control on active distribution network ［J］. Proceedings of the CSEE，2015，35（8）：1864-1874.

［2］尤毅，刘东，于文鹏，等.主动配电网技术及其进展［J］.电力系统自动化，2012，36（18）：10-16.

YOU Yi，LIU Dong，YU Wenpeng，et al.Technology and its trends of active distribution network［J］.Automation of Electric Power Systems，2012，36（18）：10-16.

［3］SAMUELSSON O，REPO S，JESSLER R，et al.Active distribution network-demonstration project ADINE［C］//Proceedings of the 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe.Sweden:IEEE，2010.

［4］陈星莺，陈楷，刘健，等.配电网智能调度模式及关键技术［J］.电力系统自动化，2012，36（18）：22-26.

CHENG Xingying，CHEN Kai，LIU Jian，et al.A distribution netwok intelligent dispatching mode and its key techniques［J］.Automation of Electric Power Systems，2012，36（18）：22-26.

［5］蒲天骄，陈乃仕，王晓辉，等.主动配电网多源协同优化调度架构分析及应用设计［J］.电力系统自动化，2016，40（1）：17-23.

PU Tianjiao，CHEN Naishi，WANG Xiaohui, et al.Application and architecture of multi-source coordinated optimal dispatch for active distribution network［J］.Automation of Electric Power Systems，2016，40（1）：17-23.

［6］黄仁乐，程林，李洪涛，等.交直流混合主动配电网关键技术研究［J］.电力建设，2015，36（1）：46-51.

HUANG Renle，CHENG Lin，LI Hongtao，et al.Research on key technology of AC/DC hybrid active distribution network［J］.Electric Power Construction，2015，36（1）：46-51.

［7］BINETTI G，DAVOUDI A，LEWIS F L，et al.Distributied consensus-based economic dispatch with transmission losses［J］.IEEE Transactions on Power Systems，2014, 29（4）:1711-1720.

［8］ZHENG W Y,WU W C，ZHANG B M，et al.Fully distributed multi-area economic dispatch method for active distribution networks［J］.IET Generation，Transmission & Distribution，2015，9（12）：1341-1351.

［9］喻洁，李扬，夏安邦，等.兼顾环境保护与经济效益的发电调度分布式优化策略［J］.中国电机工程学报，2009，29（16）：63-68.

YU Jie，LI Yang，XIA Anbang，et al. Distributed optimization of generation dispatch schedule considering environmental protection and economic profits ［J］.Proceedings of the CSEE，2009，29（16）：63-68.

［10］KIM B H.An efficient implementation of decentralized optimal power flow［J］.Journal of Electrical Engineering & Technology, 2007，2（3）：335-341.

［11］汪家旺.分布式电网经济调度模型的研究与应用［D］.沈阳：中国科学院研究生院，2010.

WANG Jiawang.Research and application on the model for distributed economic dispatch of power grids ［D］. Shenyang: Graduate School of Chinese Academy of Science，2010.

［12］PENG Q Y，LOW S H.Distributed optimal power flow algorithm for radial networks, I: balanced single phase case［J］ .IEEE Transactions on Smart Grid, 2016，PP（99）：1-11.

［13］李佩杰，陆镛，白晓清，等.基于交替方向乘子法的动态经济调度分散式优化［J］.中国电机工程学报，2015，35（10）：2428-2435.

LI Peijie，LU Yong，BAI Xiaoqing，et al.Decentralized optimization for dynamic economic dispatch based onalternating direction method of multipliers［J］. Proceedings of the CSEE，2015，35（10）：2428-2435.

［14］BOYD S，PARIKH N，CHU E，et al.Distributed optimization and statistical learning via the alternating direction method of multipliers［J］.Foundations and Trends in Machine Learning，2011，3（1）：1-122.

［15］FAHRIOGLU M，ALVARADO F L.Using utility information to calibrate customer demand management behavior models［J］.IEEE Transactions on Power Systems，2001，16（2）：317 – 322.

［16］刘佳，李丹，高立群，等.多目标无功优化的向量评价自适应粒子群算法［J］.中国电机工程学报，2008，31（28）：22-28.

LIU Jia，LI Dan，GAO Liqun, et al.Vector evaluated adaptive particle swarm optimization algorithm for multi-objective reactive power optimization ［J］.Proceedings of the CSEE，2008，31（28）：22-28.

［17］尤毅，刘东，钟清，等.多时间尺度下基于主动配电网的分布式电源协调控制［J］.电力系统自动化，2014，38（9）：192-203.

YOU Yi，LIU Dong，ZHONG Qing，et al.Multi-time scale coordinated control of distributed generators based on active distribution network［J］.Automation of Electric Power Systems，2014，38（9）：192-203.

［18］SUN A X， PHAN D T，GHOSH S.Fully decentralized AC optimal power flow algorithms［C］//Proceedings of Power & Energy Society General Meeting.Vancouver，Canada：IEEE，2013：1-5.

［19］KOCUK B， DEY S S，SUN X A.Inexactness of SDP relaxation and valid inequalities for optimal power flow［J］.IEEE Transactions on Power Systems，2016，31（1）：642 - 651.

［20］汪超群，韦化，吴思缘，等.七种最优潮流分解协调算法的性能比较［J］.电力系统自动化，2016，40（6）：49-57.

WANG Chaoqun，WEI Hua，WU Siyuan，et al.Comparative analysis of seven decomposition and coordination algorithms for optimal power flow［J］.Automation of Electric Power Systems，2016，40（6）：49-57.

［21］SHIRMOHAMMADI D，HONG H W. Reconfiguration of electric distribution network for resistive line losses reduction［J］.IEEE Transactions on Power Delivery，1989，4（2）：1492-1498

［22］杨广杰.含分布式电源的配电网重构［D］.北京：华北电力大学，2012.

YANG Guangjie.Research on network reconfiguration of distribution system with distributed generation ［D］.Beijing: North China Electric Power University，2012.

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