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山东理工大学电气与电子工程学院,山东省淄博市 255000
贾善翔(1996—),男,硕士研究生,主要研究方向:交直流配电系统优化调度。E-mail:jiashanxianga@163.com
彭克(1983—),男,通信作者,博士,副教授,主要研究方向:交直流配电网与综合能源系统运行控制。E-mail:pengke@sdut.edu.cn
李喜东(1996—),男,硕士研究生,主要研究方向:柔性直流配电系统优化控制。E-mail:sdutlxd@163.com
收稿日期:2020-07-13,
修回日期:2020-11-02,
网络出版日期:2020-12-16,
纸质出版日期:2021-04-25
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贾善翔,彭克,李喜东等.基于智能软开关的柔性互联交直流配电系统分布式优化[J].电力系统自动化,2021,45(8):95-103.
JIA Shanxiang,PENG Ke,LI Xidong,et al.Distributed Optimization of Flexible Interconnected AC/DC Distribution System Based on Soft Open Point[J].Automation of Electric Power Systems,2021,45(8):95-103.
贾善翔,彭克,李喜东等.基于智能软开关的柔性互联交直流配电系统分布式优化[J].电力系统自动化,2021,45(8):95-103. DOI: 10.7500/AEPS20200713009.
JIA Shanxiang,PENG Ke,LI Xidong,et al.Distributed Optimization of Flexible Interconnected AC/DC Distribution System Based on Soft Open Point[J].Automation of Electric Power Systems,2021,45(8):95-103. DOI: 10.7500/AEPS20200713009.
围绕柔性互联交直流配电系统的优化调度问题展开研究。通过在配电网分区边界引入智能软开关(SOP)与直流充电装置相结合的柔性互联装置,建立了计及多种分布式资源的改进柔性互联配电系统多区域、多目标分布式优化模型。通过边界及SOP解耦模型的建立,将系统优化划分为微网子区域优化、配电网子区域优化、微网与配电网分区边界处以及柔性互联装置处优化等若干子问题。考虑对各区域隐私的保护,提出了各区域内、分区边界及SOP参与分布式优化的调度方案,设计了交替方向乘子法自适应步长调整机制,提高了计算效率。最后,通过仿真验证了算法的有效性、扩展性以及柔性互联模型的经济性。
The optimal dispatch problem of flexible interconnected AC/DC distribution systems is studied. By introducing flexible interconnected devices combining soft open point (SOP) and DC charging devices at the boundary of the distribution network
an improved multi-regional and multi-objective distributed optimization model of flexible interconnected distribution systems is established
which takes into account various distributed resources. Through the establishment of boundary and SOP decoupling models
the system optimization is divided into several sub-problems
including microgrid sub-region optimization
distribution network sub-region optimization
microgrid and distribution network partition boundary optimization
and flexible interconnected device optimization. For protecting the privacy of each region
the dispatch scheme in which each region
partition boundary and SOP participate in distributed optimization is proposed. Furthermore
the adaptive step size adjustment mechanism for the alternating direction method of multipliers is adopted to improve the computing efficiency. Finally
the effectiveness and expansibility of the algorithm and the economy of the flexible interconnected model are verified by simulation.
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